Rozprawy doktorskie: „Supply chain management-Fuzzy logic”

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Thomas, Douglas J. "Committed delivery strategies for supply chain management". Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/24930.

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Manataki, Areti. "Analysing supply chain operation dynamics through logic-based modelling and simulation". Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7687.

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Supply Chain Management (SCM) is becoming increasingly important in the modern business world. In order to effectively manage and integrate a supply chain (SC), a deep understanding of overall SC operation dynamics is needed. This involves understanding how the decisions, actions and interactions between SC members affect each other, and how these relate to SC performance and SC disruptions. Achieving such an understanding is not an easy task, given the complex and dynamic nature of supply chains. Existing simulation approaches do not provide an explanation of simulation results, while related work on SC disruption analysis studies SC disruptions separately from SC operation and performance. This thesis presents a logic-based approach for modelling, simulating and explaining SC operation that fills these gaps. SC members are modelled as logicbased intelligent agents consisting of a reasoning layer, represented through business rules, a process layer, represented through business processes and a communication layer, represented through communicative actions. The SC operation model is declaratively formalised, and a rule-based specification is provided for the execution semantics of the formal model, thus driving the simulation of SC operation. The choice of a logic-based approach enables the automated generation of explanations about simulated behaviours. SC disruptions are included in the SC operation model, and a causal model is defined, capturing relationships between different types of SC disruptions and low SC performance. This way, explanations can be generated on causal relationships between occurred SC disruptions and low SC performance. This approach was analytically and empirically evaluated with the participation of SCM and business experts. The results indicate the following: Firstly, the approach is useful, as it allows for higher efficiency, correctness and certainty about explanations of SC operation compared to the case of no automated explanation support. Secondly, it improves the understanding of the domain for non-SCM experts with respect to their correctness and efficiency; the correctness improvement is significantly higher compared to the case of no prior explanation system use, without loss of efficiency. Thirdly, the logic-based approach allows for maintainability and reusability with respect to the specification of SC operation input models, the developed simulation system and the developed explanation system.

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Hammadi, Lamia. "Custom supply chain engineering : modeling and risk management : application to the customs". Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR23.

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La sécurité, la sûreté et l’efficacité de la chaîne logistique internationale revêtent une importance capitale pour le gouvernement, pour ses intérêts financiers et économiques et pour la sécurité de ses résidents. À cet égard, la société est confrontée à des multiples menaces, telles que le trafic illicite de drogues, d’armes ou autre type de contrebande, ainsi que la contrefaçon et la fraude commerciale. Pour contrer (détecter, prévenir, enquêter et atténuer) ces menaces, le rôle des douanes se pose en tant que gardiens du commerce international et acteurs principaux de la sécurisation de la chaîne logistique internationale. Les douanes interviennent à tous les stades de l'acheminement des marchandises ; toutes les transactions en provenance ou à destination des pays doivent être traitées par leurs services douaniers. Dans un tel environnement, les douanes deviennent un élément essentiel de la chaîne logistique. Nous adoptons ce point de vue, avec un accent particulier sur les opérations douanières et, pour souligner cet objectif, nous appelons cette analyse "chaîne logistique douanière". Dans cette thèse, nous avons tout d’abord mis en place le concept de chaîne logistique douanière, en identifiant les acteurs et les liens structurels entre eux, puis en établissant la cartographie des processus, l’approche d’intégration et le modèle de mesure de performance du concept proposé. Deuxièmement, nous développons une nouvelle approche de gestion de risques dans la chaîne logistique douanière basée sur une approche qualitative. Une telle approche conduit à identifier les classes de risques et à recommander les meilleures solutions afin de réduire le niveau de risque. Notre approche est appliquée dans la douane Marocaine en considérant la criticité comme un indicateur de risque en premier temps, en appliquant la méthode AMDEC (Analyse des modes de défaillance, de leurs effets et de leur criticité) et la méthode ABC croisée et le poids prioritaire en deuxième temps, en utilisant la méthode AHP (Analytic Hierarchy Process) et la méthode AHP floue (c.-à-d. Évaluation de risques sous incertitude); puis une analyse comparative des deux indicateurs est effectuée afin d’examiner l’efficacité des résultats obtenus. Enfin, nous développons des modèles stochastiques pour les séries chronologiques de risques qui abordent le défi le plus important de la modélisation de risques dans le contexte douanier : la Saisonnalité. Plus précisément, nous proposons d’une part des modèles basés sur la quantification des incertitudes pour décrire les comportements mensuels. Les différents modèles sont ajustés en utilisant la méthode de coïncidence des moments sur des séries temporelles de quantités saisies du trafic illicite dans cinq sites. D'autre part, des modèles de Markov cachés sont ajustés à l'aide de l'algorithme EM sur les mêmes séquences d’observations. Nous montrons que nos modèles permettent avec précision de gérer et de décrire les composantes saisonnières des séries chronologiques de risques dans le contexte douanier. On montre également que les modèles ajustés sont interprétables et fournissent une bonne description des propriétés importantes des données, telles que la structure du second ordre et les densités de probabilité par saison et par site
The security, safety and efficiency of the international supply chain are of central importance for the governments, for their financial and economic interests and for the security of its residents. In this regard, the society faces multiple threats, such as illicit traffic of drugs, arms and other contraband, as well as counterfeiting and commercial fraud. For countering (detecting, preventing, investigating and mitigating) such threats, the role of customs arises as the gatekeepers of international trade and the main actor in securing the international supply chain. Customs intervene in all stages along the routing of cargo; all transactions leaving or entering the country must be processed by the custom agencies. In such an environment, customs become an integral thread within the supply chain. We adopt this point of view, with a particular focus on customs operations and, in order to underline this focus, we refer to this analysis as “customs supply chain”. In this thesis, we firstly set up the concept of customs supply chain, identify the actors and structural links between them, then establish the process mapping, integration approach and performance model. Secondly, we develop a new approach for managing risks in customs supply chain based on qualitative analysis. Such an approach leads to identify the risk classes as well as recommend best possible solutions to reduce the risk level. Our approach is applied in Moroccan customs by considering the criticality as a risk indicator. In a first time we use Failure Modes Effects Criticality Analysis (FMECA) and Cross Activity Based Costing (ABC) Method and priority weight; in the second time we use Analytic Hierarchy Process (AHP) and Fuzzy AHP (i.e., risk assessment under uncertainty); then a benchmarking of the two indicators is conducted in order to examine the effectiveness of the obtained results. Finally, we develop stochastic models for risk time series that address the most important challenge of risk modeling in the customs context: Seasonality. To be more specific, we propose on the one hand, models based on uncertainty quantification to describe monthly components. The different models are fitted using Moment Matching method to the time series of seized quantities of the illicit traffic on five sites. On the other hand, Hidden Markov Models which are fitted using the EM-algorithm on the same observation sequences. We show that these models allow to accurately handle and describe the seasonal components of risk time series in customs context. It is also shown that the fitted models can be easily interpreted and provide a good description of important properties of the data such as the second-order structure and Probability Density Function (PDFs) per season per site

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Santi, Everton. "Uma abordagem h?brida para o problema de sele??o de fornecedores em cadeia de suprimentos". Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15026.

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Made available in DSpace on 2014-12-17T14:53:05Z (GMT). No. of bitstreams: 1 EvertonS_DISSERT.pdf: 1215528 bytes, checksum: 9fd0b2ab4c831dc0b107eb1bed7bb87b (MD5) Previous issue date: 2012-01-27
Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico
This work presents a hybrid approach for the supplier selection problem in Supply Chain Management. We joined decision-making philosophy by researchers from business school and researchers from engineering in order to deal with the problem more extensively. We utilized traditional multicriteria decision-making methods, like AHP and TOPSIS, in order to evaluate alternatives according decision maker s preferences. The both techiniques were modeled by using definitions from the Fuzzy Sets Theory to deal with imprecise data. Additionally, we proposed a multiobjetive GRASP algorithm to perform an order allocation procedure between all pre-selected alternatives. These alternatives must to be pre-qualified on the basis of the AHP and TOPSIS methods before entering the LCR. Our allocation procedure has presented low CPU times for five pseudorandom instances, containing up to 1000 alternatives, as well as good values for all considered objectives. This way, we consider the proposed model as appropriate to solve the supplier selection problem in the SCM context. It can be used to help decision makers in reducing lead times, cost and risks in their supply chain. The proposed model can also improve firm s efficiency in relation to business strategies, according decision makers, even when a large number of alternatives must be considered, differently from classical models in purchasing literature
Este trabalho apresenta uma abordagem h?brida para o problema de sele??o de fornecedores em cadeias de suprimentos geridas com base na metodologia SCM (do ingl?s, Supply Chain Management). Busca-se combinar as filosofias de avalia??o tradicionalmente adotadas pelos pesquisadores oriundos da escola de neg?cios e pelos pesquisadores oriundos da ?rea de engenharia, esta ?ltima baseada em otimiza??o, para o trato do problema. Para tal, utilizam-se t?cnicas multicrit?rios tradicionais, como os m?todos AHP e TOPSIS para avaliar as alternativas segundo a prefer?ncia dos decisores. Ambas as t?cnicas s?o modeladas de maneira a suportar defini??es da Teoria dos Conjuntos Fuzzy, tratando-se assim informa??es imprecisas. Adicionalmente, apresenta-se um algoritmo GRASP, com base em m?ltiplos objetivos, para a aloca??o de pedidos entre as alternativas pr?-selecionadas por meio dos m?todos supracitados. Este algoritmo, por sua vez, apresenta tempos de CPU relativamente baixos para cinco inst?ncias pseudo-aleat?rias, contendo entre 20 e 1000 alternativas, bem como valores pr?ximos aos valores m?nimos para cada um dos objetivos considerados. Destaca-se que o modelo proposto se mostrou apropriado para a avalia??o de fornecedores no contexto apresentado, podendo-se auxiliar os decisores na redu??o de lead times, custos e riscos de sua cadeia de suprimentos, bem como na melhoria da efici?ncia desta estrutura em rela??o ? sua vis?o de neg?cios, mesmo quando um n?mero elevado de alternativas ? considerado, diferentemente dos modelos cl?ssicos apresentados na literatura

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Lidström, John. "Is advanced technical functionality enough? - Value creation in a complex warehouse management system investment : Lessons learned about the implication of resources, roles and interactions". Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202334.

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Supply chain management complexity is a growing challenge for a broad range of contemporary companies, which makes them turn to new and increasingly advanced IT-systems as a salvation. One of the currently most important system in a supply chain manager’s toolbox is the warehouse management system. As business challenges increases so does also the complexity in the investment processes surrounding the warehouse management systems, this paper explores value creation in these processes to understand the resource exchanges involved, the exchange actor’s different roles and the implications of interactions between the actors. This is conducted through a case study with a market leading warehouse management system vendor and a supply chain intensive customer. The findings indicate that value creation in a complex warehouse management system investment entails several intervened and ongoing processes of different resource exchanges, were the actors co-create value jointly by sharing, combining and utilizing the resources throughout these processes. In order to establish this essential value co-creation sphere, also social exchanges in the form of qualitative interactions between the actors have proven to be a fundamental factor.

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Amirbagheri, Keivan. "An analytical study about the relationship between Green Supply Chain Management practices and Organizational Performance". Doctoral thesis, Universitat de Barcelona, 2019. http://hdl.handle.net/10803/668317.

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En esta disertación de doctorado en tres capítulos principales, estudié un estudio analítico sobre la relación entre las prácticas de Green Supply Chain Management y el desempeño organizacional utilizando tres metodologías diferentes (análisis bibliométrico, estudio cualitativo y estudio cuantitativo). En el segundo capítulo, utilizando el análisis bibliométrico, revisé las tendencias en el mundo de la cadena de suministro verde. El tercer capítulo de esta tesis revisó cualitativamente en base al uso de entrevistas el nivel de implementación de la práctica de gestión de la cadena de suministro verde en los casos seleccionados y su influencia en el desempeño organizacional. Finalmente, mediante el uso de operadores OWA, este estudio propuso nuevos operadores para la emisión de gases de efecto invernadero.

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Truong, Quang Huy. "Risks and Performance in the Supply Chain -An Empirical Study in Vietnam Construction Sector-". Kyoto University, 2018. http://hdl.handle.net/2433/232209.

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Randall, Wesley Spencer. "An Empirical Examination of Service Dominant Logic: The Theory of the Network". Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3925/.

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Marketing scholars question the ability of the 4Ps to explain higher order phenomena in modern marketing. Scholars contend that marketing's historical framework, based in product centric economic theory, constrains the 4Ps ability to form a foundation for a general theory of marketing. The focus on value embedded in product fails to explain knowledge-based intangible sources of competitive advantage. In response to this concern a new dominant logic for marketing called service-dominant logic (S-D Logic) has been proposed. However, not all scholars are supportive of S-D Logic. Still nescient, S-D Logic lacks a theoretic model, operationalized constructs, and relationships between those constructs. This study addresses those deficiencies by: (1) generation of a grounded theory of a performance-oriented network; (2) empirical assessment of the S-D Logic literature; and (3) development of an inductively generated theory of S-D Logic to include constructs, relationships, outcomes, and hypothesis. This investigation provides an important set of research findings. The resultant service-oriented network theory suggests a theoretic structure for S-D Logic. Use of grounded theory provides a strong empirical foundation based in a leading edge multi-national market segment composed corporations and programs worth hundreds of billions of dollars. The analysis drew upon 44 field interviews and follow-up exchanges. Multiple member checking sessions generated practitioner confirmation of the research conclusions. The work provides actionable theoretical and practical implications. This investigation provides a link between S-D Logic as a foundation for a general theory of marketing and initial model of suggestive of such theory. For the practitioner the service-oriented network model provides actionable constructs. The antecedents identified are largely influencable by inter-firm leadership and provides them a mechanism to tailor the specific service-oriented strategy to support the desired network value propositions.

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Dobrzykowski, David D. "Linking Antecedents and Consequences of Value Density in the Healthcare Delivery Supply Chain". University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1289833170.

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Ng, Irene, Ralph Badinelli, Francesco Polese, Nauta Primiano Di, Helge Löbler i Sue Halliday. "S-D logic research directions and opportunities". Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-218383.

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To date, several disciplines have broached the systems view of service and the engineering of service systems. Operations research applied to services began with a rather simplistic, macro view of resource integration in the form of data envelopment analysis (DEA), introduced by Charnes, Cooper and Rhodes in 1978 (Banker et al., 1984; Charnes et al., 1994). Micro models of service systems have tended to study the systems’ IT components (Hsu, 2009; Qiu 2009). Engineering, which has always been associated with ‘assembling pieces that work in specific ways’ (Ottino, 2004) and ‘a process of precise composition to achieve a predictable purpose and function’ (Fromm, 2010: 2), has contributed to greater scalability and purposeful control in service systems. However, the agents of the system are usually people whose activities may not easily be controlled by predictable processes and yet are critical aspects of the value-creating system (Ng et al., 2011b). There is need for a new combinative paradigm, such as third-generation activity theory, in which two or more activity systems come into contact, to explore dialogue, exchanging perspectives of multiple actors, resulting in networks or groups of activity systems that are constantly interacting (Marken, 2006; Nardi, 1996, Oliveros et al., 2010). While various systems approaches, such as general systems theory (von Bertalanffy, 1962); open systems theory (Boulding, 1956; Katz and Kahn, 1978); and viable systems approach (Barile, 2008; Beer, 1972; Golinelli, 2010), will not be reviewed here (see Ng et al., 2011a for a systems approach to service science), they share common tenets: boundaries, interfaces, hierarchy, feedback and adaptation to which most systems writers would add emergence, input, output and transformation (Kast and Rosenzweig, 1972). These terms may be used as a basis for a research agenda for the consideration of a service system.

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Ganga, Gilberto Miller Devós. "Proposta de um modelo de simulação baseado em lógica Fuzzy e no SCOR para predizer o desempenho da empresa-foco em cadeias de suprimentos". Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/18/18140/tde-18042010-094318/.

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Este trabalho apresenta e discute uma proposta baseada na teoria dos conjuntos fuzzy para predizer o desempenho da empresa-foco em cadeia de suprimentos modelada de acordo com os relacionamentos causais entre medidas de desempenho propostas pelo SCOR (versão 8.0). O uso de sistemas de medição de desempenho para gerenciar o desempenho de cadeias de suprimentos apresenta algumas limitações tais como a dificuldade de interpretação de resultados de natureza qualitativa, assim como a complexidade de um sistema tradicional de medição de desempenho lidar adequadamente com os relacionamentos de causas e efeito entre métricas de desempenho de diferentes processos de negócios ao longo da cadeia de suprimentos. Por outro lado, a lógica fuzzy, uma técnica apropriada para lidar com situações de incerteza e subjetividade, configura-se como uma alternativa interessante. Utilizando uma abordagem de pesquisa quantitativa descritiva, assumiu-se a hipótese de que um modelo de simulação quantitativo poderia ser construído para explicar o comportamento de processos operacionais. Os resultados da simulação mostraram-se bastante consistentes à metodologia SCORmark, proposta pelo Supply Chain Council. Análises estatísticas dos resultados da simulação, baseados no Método de Superfície de Resposta, também confirmaram a relevância dos relacionamentos causais incorporados no modelo. Em geral, os resultados reforçam que a proposição da adoção de um modelo de simulação baseado em lógica fuzzy e nas métricas do SCOR parece ser uma abordagem possível para auxiliar os gerentes no processo de tomada de decisão do gerenciamento do desempenho em cadeias de suprimentos.
This paper presents and discusses a proposal based on the theory of fuzzy sets to predict performance of focus company in a supply chain modeled according to causal relationships among performance metrics proposed by SCOR (version 8.0). The use of performance measurement systems to manage performance of supply chains presents some limitations such as difficulty of interpretation of results of qualitative nature as well as the complexity of having a conventional performance measuring system that can adequately handle cause-and-effect relationships of metrics of performance of different business processes of a supply chain. On the other hand, fuzzy logic, a technique suitable for dealing with uncertainty and subjectivity, becomes an interesting alternative approach. Using a descriptive quantitative approach, the research was based on the assumption that a quantitative simulation model can be built that explain (at least in part) the behavior of operational processes. Results of simulation were very much in line with those of the SCORmark methodology (SCC). Statistical analysis of the simulation results based on surface response method also confirmed the relevance of the causal relationships embedded in the model. In general, the findings reinforces the proposition that adoption of a simulation model based on fuzzy-logic and on metrics of the SCOR model seems to be a feasible approach to help managers in the decision making process of managing performance of supply chains.

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Ng, Irene, Ralph Badinelli, Francesco Polese, Nauta Primiano Di, Helge Löbler i Sue Halliday. "S-D logic research directions and opportunities: the perspective of systems, camplexity and engeneering". Marketing Theory, 2012 June; Vol. 12, No. 2, pp. 213-217, 2012. https://ul.qucosa.de/id/qucosa%3A15287.

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To date, several disciplines have broached the systems view of service and the engineering of service systems. Operations research applied to services began with a rather simplistic, macro view of resource integration in the form of data envelopment analysis (DEA), introduced by Charnes, Cooper and Rhodes in 1978 (Banker et al., 1984; Charnes et al., 1994). Micro models of service systems have tended to study the systems’ IT components (Hsu, 2009; Qiu 2009). Engineering, which has always been associated with ‘assembling pieces that work in specific ways’ (Ottino, 2004) and ‘a process of precise composition to achieve a predictable purpose and function’ (Fromm, 2010: 2), has contributed to greater scalability and purposeful control in service systems. However, the agents of the system are usually people whose activities may not easily be controlled by predictable processes and yet are critical aspects of the value-creating system (Ng et al., 2011b). There is need for a new combinative paradigm, such as third-generation activity theory, in which two or more activity systems come into contact, to explore dialogue, exchanging perspectives of multiple actors, resulting in networks or groups of activity systems that are constantly interacting (Marken, 2006; Nardi, 1996, Oliveros et al., 2010). While various systems approaches, such as general systems theory (von Bertalanffy, 1962); open systems theory (Boulding, 1956; Katz and Kahn, 1978); and viable systems approach (Barile, 2008; Beer, 1972; Golinelli, 2010), will not be reviewed here (see Ng et al., 2011a for a systems approach to service science), they share common tenets: boundaries, interfaces, hierarchy, feedback and adaptation to which most systems writers would add emergence, input, output and transformation (Kast and Rosenzweig, 1972). These terms may be used as a basis for a research agenda for the consideration of a service system.

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Vo, Van Dien. "Gestion de la biodiversité et traçabilité dans la chaîne d’approvisionnement". Thesis, Paris 10, 2017. http://www.theses.fr/2017PA100101/document.

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Cette thèse porte sur la gestion intégrée de la biodiversité, la mise en place de systèmes de traçabilité et la gestion de la chaîne d'approvisionnement verte (GSCM). En particulier, cette recherche tente de développer un modèle de mesure de la performance de la gestion de la biodiversité par des variables linguistiques sous la théorie de la logique floue (O1), d'étudier les relations entre la gestion de la biodiversité, GSCM et la mise en œuvre des systèmes de traçabilité (O2), et déterminer les changements dans les attributs de transaction et les coûts des entreprises dans le cadre de l'économie des coûts de transaction (O3). À cette fin, cette étude fait l'objet d'examens empiriques dans la chaîne d'approvisionnement des produits de la mer Vietnamiens en utilisant des données primaires provenant d'enquêtes par questionnaire et de visites sur le terrain. À partir de l'enquête spécialisée, un ensemble de cinq indicateurs clés de performance (KPIs) a été validé pour mesurer les performances de la gestion de la biodiversité des entreprises. Les résultats empiriques montrent que les entreprises de fruits de mer Vietnamiennes obtiennent de meilleurs résultats sur les indicateurs clés Biodiversity Stewardship Practice, Biodiversity Business Assessment, mais des scores inférieurs sur Biodiversity Conservation Commitment, Biodiversity Management Policy et Biodiversity Performance Reporting. Compte tenu de ce fait, les pratiques de gestion de la chaîne d'approvisionnement écologique sont proposées pour avoir des effets positifs sur les performances de la gestion et de la traçabilité de la biodiversité. Par conséquent, la mise en œuvre des systèmes de traçabilité entraîne une augmentation de la spécificité des actifs (71%), une baisse de l'incertitude des transactions (60%) et une faible variation (7%) de la fréquence des transactions
This study observes corporate biodiversity management, the implementation of traceability systems and green supply chain management. In specific, this research attempts to develop a model for measuring the performance of corporate biodiversity management with linguistic variables under fuzzy logic theory (O1), to investigate the relationships between biodiversity management, GSCM and the implementation of traceability systems (O2), and to determine changes in the transaction attributes and costs of firms under the transaction cost economics framework (O3). For these purposes, this study takes empirical examinations in the Vietnamese seafood supply chain using primary data from questionnaire surveys and field trips. From the specialist survey, a set of five key performance indicators (KPIs) has been validated for measuring the performance of corporate biodiversity management. The empirical results show that the Vietnamese seafood companies perform better on the key indicators Biodiversity Stewardship Practice, Biodiversity Business Assessment, but lower scores on Biodiversity Conservation Commitment, Biodiversity Management Policy and Biodiversity Performance Reporting. Considering this fact, the green supply chain management practices are proposed to have positive effects on the performance of biodiversity management and traceability. As a result, the implementation of traceability systems leads to an increase in asset specificity (71%), a decrease in transaction uncertainty (60%) and low variation (7%) in the frequency of transactions

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Lou, Sio Fan. "Fuzzy adaptive agent for supply chain management". Thesis, University of Macau, 2009. http://umaclib3.umac.mo/record=b2100828.

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Schaub, Rene C. "Stochastic programming solutions to supply chain management /". May be available electronically:, 2009. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Xiong, Hongxia. "Coordination and inventory management in supply chains /". May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Cruz, Pedro Emanuel Botelho Espadinha da. "Lean, agile, resilient and green supply chain management interoperability assessment methodology". Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/7845.

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Dissertação para obtenção de grau de Mestre em Engenharia e Gestão Industrial (MEGI)
Supply Chain Management has become a tactic asset for the current global competition situation. Innovative strategies such as Lean, Agile, Resilient and Green emerged as a response, requiring high levels of cooperation and of great complexity. However, the strategic alignment of operations with partners in supply chains is affected by lack of interoperability. The present work provides a framework to enhance SC competitiveness and performance by assessing interoperable SCM Practices applied in automotive industry. Through a pragmatic interoperability approach, this methodology describes in detail the form of application using analytical hierarchical process (AHP) and Fuzzy sets as support decision making models, ensuring a systematic approach to the analysis of interoperability with appropriate criteria for assessment of situations that require high levels of collaboration between partners. Through a case study in a Portuguese automaker, it was possible to test the methodology and analyse which areas lack interoperability in the implementation of SCM practices.

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Elahi, Behin. "Integrated Optimization Models and Strategies for Green Supply Chain Planning". University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1467266039.

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Ferreira, Rafael Alves. "Proposta de um modelo quantitativo com base em lógica fuzzy para caracterização de cadeias de suprimentos em empresas". Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-22012018-095550/.

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As empresas lidam com grupos de clientes distintos, com requisitos que os diferem entre si, portanto é importante aperfeiçoar o atendimento destes clientes por meio de estratégias da cadeia de suprimentos que sejam diferenciadas para cada grupo. A escola enxuta-ágil, apesar de sugerir formas práticas de avaliação da cadeia de suprimento para a tomada de decisão, não oferece muitas opções para sua segmentação. Por outro lado, a proposta de segmentação da escola do alinhamento dinâmico é mais robusta, entretanto esta escola sofre com excessiva normatização, além da imprecisão inerente a seu processo de avaliação primordialmente qualitativo e de difícil aplicação. Uma alternativa para lidar com a imprecisão relativa ao processo de segmentação é a aplicação da teoria dos conjuntos fuzzy. Nesse contexto, este trabalho tem por objetivo desenvolver um modelo quantitativo que utilize a teoria dos conjuntos fuzzy e, com base em dados de vendas, avalie a(s) cadeia(s) de suprimentos da empresa facilitando esta alcançar o alinhamento dinâmico. Os procedimentos de pesquisa utilizados no trabalho podem ser agrupados em três partes: pesquisa bibliográfica, desenvolvimento do modelo quantitativo axiomático descritivo e ilustração por meio de aplicação prática. O modelo computacional desenvolvido colaborou com a busca do alinhamento dinâmico. Obteve-se a identificação das cadeias de suprimentos que atendem aos grupos de clientes avaliados, fornecendo respostas de forma muito mais rápida que a análise proposta pelos modelos encontrados na literatura. A aplicação em caso real validou o modelo, uma vez que os resultados obtidos mostraram-se coerentes com a realidade apontada pelos especialistas da empresa estudada, indicando possíveis ações para o realinhamento da cadeia de suprimentos.
Companies deal with different customer groups, with requirements that differ between them, so it is important to improve customer service through different supply chain strategies for each group. The Leagile School, while suggesting practical ways of assessing the supply chain for decision-making, does not offer many options for its segmentation. The segmentation proposal of Dynamic Alignment School is more robust, however, this school is excessively normative, besides the vagueness inherent in its evaluation process that is primarily qualitative and difficult to apply. An alternative to deal with imprecision related to the segmentation process is the application of fuzzy set theory. In this context, the objective of this work is to develop a quantitative model that uses the fuzzy set theory and, based on sales data, assess the company\'s supply chain(s), facilitating the achievement of the dynamic alignment. The research procedures applied in the work can be grouped into three parts: bibliographic research, development of the descriptive axiomatic quantitative model, and illustration through practical application. The computational model developed collaborated with the search for dynamic alignment. It was possible to identify the supply chains that serve the client groups evaluated, providing answers faster than the analysis proposed by the models found in the literature. The application in real situation validated the model, since the results obtained were consistent with the reality pointed out by the experts of the company studied, indicating possible actions for the realignment of the supply chain.

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Pokorná, Klára. "Riziko výběru dodavatele". Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-232656.

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The Master’s thesis deals with the area of supplier management in a large multinational corporation focused on manufacturing and distribution of medical devices, which has a subsidiary in the Czech Republic. The thesis discusses the analysis of the current set up of supplier management in the facility and there are calculations for effective evaluation of suppliers being proposed on the basis of the analysis. The emphasis is also put on the setting of the system such that it provides the highest possible added value for its users, can be easily implemented in practice and is flexible as well.

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Hala, Filip. "Hodnocení dodavatelů pomocí různých metod". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223475.

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Diplomová práce se zabývá využitím moderních metod analýz a modelování pro hodnocení dodavatelů a výběr optimální nabídky. V této práci je využito teorie fuzzy logiky. Dále je vytvořený model porovnán se současným modelem hodnocení zákazníků.

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Campanini, Luciano. "Gestão de múltiplos projetos em uma empresa de bens de capital: uso do método da corrente crítica aplicando lógica fuzzy para cálculo de pulmão de tempo". Universidade Federal de São Carlos, 2013. https://repositorio.ufscar.br/handle/ufscar/3427.

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Made available in DSpace on 2016-06-02T19:50:21Z (GMT). No. of bitstreams: 1 5362.pdf: 3103757 bytes, checksum: c0986f222ab0a46277298663c0ba7619 (MD5) Previous issue date: 2013-06-18
This study approach the Critical Chain Method. This method is the Theory of Constraints applied to project management. The main contribution of this thesis is to propose a method for determining buffer size. Some literature reviews were performed on research methodology, production systems, project management, Critical Chain and Fuzzy Logic. A case study in a multiple project environment in a company that works with engineering to orders in the segment of capital goods was done. At the literature for determining buffer size, were identified in addition to the original method "Cut and Paste Method" proposed by Goldratt, four other methods: "Root Square Error Method (RSEM)", "Adaptive Procedure with Density (APD)," Adaptive Procedure with Resource Tightness (APRT) "and" Improved Root Square Error Method (IRSEM)". In the literature considered in this work, there was no application of any of the Critical Chain method in cases of multiple projects, with these four methods for determining buffer size. For the proposal of a new method for determining buffer size, elaborated in this thesis, we considered five variables that influence the outcome of the contracts and thus integrate the formulation. They are: contractual penalty, profit margin, customer importance, project complexity and resource constraints. Fuzzy logic is used to establish an adjustment factor to determining the buffer size. All these methods were simulated in the environment of multiple projects studied and some indicators were compared. In general, the proposed of buffer size using Fuzzy Logic allows the use of a greater number of project specific characteristics to determining the buffer size and the results of applications were goods when compared with other buffer size methods considered in this literature.
Este estudo tem como foco o método de gerenciamento de projetos originado da Teoria das Restrições chamado de Corrente Crítica. A principal contribuição desta tese está na proposta de um método para cálculo de pulmão de tempo. Para isso, foram realizadas algumas revisões bibliográficas sobre metodologia de pesquisa, sistemas de produção, gerenciamento de projetos, Corrente Crítica e Lógica Fuzzy. Foi realizado também um estudo de caso em um ambiente de múltiplos projetos em uma empresa que trabalha com pedidos sob encomenda no segmento de Bens de Capital. Na literatura para cálculo de pulmão de tempo, foram identificados, além do método original Cortar e Colar proposto por Goldratt, outros quatro métodos: Método da Raiz Quadrada do Erro , Procedimento Adaptativo com Densidade , Procedimento Adaptativo com Escassez de Recurso e Método Melhorado da Raiz Quadrada do Erro . Na bibliografia considerada neste trabalho, não se observou nenhuma aplicação desses quatro métodos para cálculo de pulmão de tempo em ambientes de múltiplos projetos. Para a proposta de um novo método para cálculo de pulmão de tempo, foram consideradas cinco variáveis que influenciam no resultado dos contratos e, dessa forma, participaram dos cálculos: multa contratual, margem de lucro, importância do cliente, complexidade do projeto e escassez de recurso. A Lógica Fuzzy foi utilizada para estabelecer um fator de ajuste do pulmão de tempo. Todos esses métodos foram simulados no ambiente de múltiplos projetos estudado e alguns indicadores foram comparados. Em geral, a aplicação da proposta para cálculo de pulmão de tempo utilizando a Lógica Fuzzy, além de permitir a utilização de um número maior de características específicas do projeto no dimensionamento dos pulmões de tempo, apresentou bons resultados em comparação com os demais métodos considerados neste trabalho.

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Sha, Sha. "Performance Modelling and Analysis of Handover and Call Admission Control Algorithm for Next Generation Wireless Networks". Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5509.

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The next generation wireless system (NGWS) has been conceived as a ubiquitous wireless environment. It integrates existing heterogeneous access networks, as well as future networks, and will offer high speed data, real-time applications (e.g. Voice over IP, videoconference ) and real-time multimedia (e.g. real-time audio and video) support with a certain Quality of Service (QoS) level to mobile users. It is required that the mobile nodes have the capability of selecting services that are offered by each provider and determining the best path through the various networks. Efficient radio resource management (RRM) is one of the key issues required to support global roaming of the mobile users among different network architectures of the NGWS and a precise call admission control (CAC) scheme satisfies the requirements of high network utilization, cost reduction, minimum handover latency and high-level QoS of all the connections. This thesis is going to describe an adaptive class-based CAC algorithm, which is expected to prioritize the arriving channel resource requests, based on user¿s classification and channel allocation policy. The proposed CAC algorithm couples with Fuzzy Logic (FL) and Pre-emptive Resume (PR) theories to manage and improve the performance of the integrated wireless network system. The novel algorithm is assessed using a mathematical analytic method to measure the performance by evaluating the handover dropping probability and the system utilization.

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Denicol, Juliano. "Sistemática para seleção de fornecedores na indústria da construção civil". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/97254.

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Atualmente, o ambiente industrial é caracterizado pela intensa globalização, competição entre cadeias de suprimentos, manutenção das competências centrais e terceirização dos demais serviços. Desta forma, a gestão das relações entre os agentes independentes da cadeia de suprimentos e do processo de aquisição são fatores potenciais para o aumento da competitividade empresarial. No contexto da construção civil, a seleção adequada dos parceiros de negócios é um elemento fundamental para o sucesso dos projetos, uma vez que uma grande proporção das atividades podem ser sub-contratadas e possuem relação de precedência entre si. Os suprimentos representam um percentual significativo dos custos das construções, 60%, dado que demonstra o potencial de lucratividade passível de ser atingida ao estruturar o processo de seleção de fornecedores na construção civil. Seleções baseadas no preço prejudicam os sub-empreiteiros e fornecedores mais responsáveis na concorrência, contribuindo para a queda do nível de desempenho e redução da eficiência global do projeto, uma vez que as ineficiências são somadas ao longo da cadeia. Através da estruturação do processo de seleção de fornecedores, é possível mitigar os riscos de suprimentos oriundos de falhas destes contratados ao longo da relação. O objetivo deste trabalho foi desenvolver uma sistemática para seleção de fornecedores críticos, considerando diversos critérios além do preço, entre qualitativos e quantitativos. A abordagem visa também, a eliminação da subjetividade do processo e a extração do melhor fornecedor de forma objetiva. Para tanto, foram definidas dimensões competitivas para avaliar os fornecedores e posteriormente foram utilizados dois métodos quantitativos, Teoria dos Conjuntos Difusos (TCD) e Análise de Componentes Principais (ACP), para selecionar o melhor fornecedor dentre as alternativas, com base na avaliação de múltiplos agentes.
Currently, the industrial environment is characterized by intense globalization, competition between supply chains, maintenance of core competencies and outsourcing of other services. Thus, the management of relationships between independent agents of the supply chain and the procurement process are potential factors for increasing enterprise competitiveness. In the construction context, the proper selection of business partners is a key element for the success of projects, since a large proportion of the activities can be sub-contracted and have precedence relationship between them. Supplies represent a significant percentage of the cost of buildings, 60%, information that demonstrates the potential of profitability that can be achieved by structuring the process of supplier selection in the construction industry. Selection based on price take off from competition the sub-contractors and suppliers more responsible, contributing to the decline in the level of performance and reduction in the overall project efficiency, since inefficiencies are summed through the chain. By structuring the supplier selection process, it is possible to mitigate the supply risk arising from failures of these suppliers during the relationship. The objective of this study was to develop a systematic for selection of critical suppliers, considering several criteria other than price, among qualitative and quantitative. The approach also aims at eliminating the subjectivity of the process and the extraction of the best supplier in an objective way. In order to that, competitive dimensions were set to evaluate vendors and subsequently two quantitative methods, Fuzzy Sets Theory (FST) and Principal Component Analysis (PCA) were used to select the best supplier among the alternatives based on multiple agents evaluation.

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Junior, Francisco Rodrigues Lima. "Avaliação da adequabilidade de redes neurais artificiais e sistemas neuro-fuzzy no apoio à predição de desempenho de cadeias de suprimento baseada no SCOR®". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-16032017-141008/.

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Sistemas de predição de desempenho de cadeias de suprimento são constituídos por indicadores que visam estimar o desempenho da empresa-foco em decorrência também do desempenho dos indicadores dos fornecedores. Na literatura são encontrados apenas dois modelos quantitativos (GANGA; CARPINETTI, 2011; AGAMI; SALEH; RASMY, 2014) que permitem predizer o desempenho de cadeias de suprimento usando os indicadores do modelo SCOR® (Supply Chain Operations Reference). Uma limitação de ambos modelos é a dificuldade de se ajustar ao ambiente de uso, uma vez que sua implementação e atualização requerem a parametrização manual de muitas regras de decisão. Tanto o uso de redes neurais quanto de sistemas neuro-fuzzy têm o potencial de contornar essa dificuldade por utilizarem um mecanismo de aprendizagem que possibilita a adaptação ao ambiente de uso usando dados numéricos. Todavia, na literatura não são encontradas aplicações dessas técnicas no apoio à predição de desempenho de cadeias de suprimento, tampouco estudos que discutam qual dessas técnicas se mostra mais adequada para lidar com este problema. Diante disso, o objetivo desta pesquisa é construir e a avaliar a adequabilidade de dois sistemas de predição de desempenho, ambos baseados nos indicadores do modelo SCOR®, mas usando alternativamente as técnicas redes neurais e sistemas neuro-fuzzy, para apoiar a gestão de desempenho da empresa-foco e de sua cadeia imediata. A execução desta pesquisa envolveu o uso de simulação computacional e de testes estatísticos. Os resultados mostram que, embora ambas as técnicas apresentem capacidade de predição satisfatória, as redes neurais são mais adequadas em relação à complexidade da definição da configuração topológica, enquanto os sistemas neuro-fuzzy se sobressaíram em relação à capacidade de predição, complexidade do treinamento, quantidade de variáveis de entrada, suporte à tomada de decisão sob incerteza e interpretabilidade dos dados. Outros resultados desta pesquisa estão relacionados à identificação de particularidades do processo de modelagem das técnicas avaliadas, à elaboração de um panorama sobre o uso de técnicas quantitativas na avaliação de desempenho de cadeias de suprimento e à identificação de algumas oportunidades de pesquisa.
Supply chain performance prediction systems are composed by indicators that aim to estimate the performance of a focal company considering also indicators related to their suppliers. There are two quantitative models in the literature (GANGA; CARPINETTI, 2011; AGAMI; SALEH; RASMY, 2014) that enable to predict the supply chain performance using the indicators proposed by the SCOR® model (Supply Chain Operations Reference). Nevertheless, there is a drawback of both models that refers to the difficulty in adapting to the environment of use, since implementation and updating of these models require parameterization of many decision rules that must be done by an expert. The application of artificial neural networks as well as neuro-fuzzy systems can overcome this drawback by using a learning mechanism that enables the adaptation to the environment of use using numerical data on supply chain performance. However, there are neither studies in the literature that propose the use of these techniques in order to support supply chain performance prediction nor studies that discuss which of these techniques seem to be more appropriate to deal with this problem. Thus, the objective of this study is to propose and evaluate the adequability of the two types of performance prediction systems based on the performance indicators of the SCOR® model, and both using alternatively artificial neural networks and neuro-fuzzy systems to support performance management of a focal company and their supply chain. The implementation of this research involved the use of computer simulation and statistical tests. The results show that although both techniques present a satisfactory predictive capacity, neural networks are more appropriate in relation to the complexity of defining the topological configuration, whereas the neuro-fuzzy systems are more adequate regarding the predictive capacity, complexity of the training, amount of input variables, support to decision-making under uncertainty and interpretability of data. Other results of this research refer to the identification of characteristics of the modeling process of the evaluated techniques, as well as to the review on the use of quantitative techniques for supply chain performance evaluation and to the identification of some research opportunities.

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Khemiri, Rihab. "Développement d'une approche floue multicritères pour une planification intégrée couplant la gestion de la performance et du risque". Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/19730/1/KHEMIRI_Rihab.pdf.

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Le présent travail s’intéresse à la prise en compte de l’incertitude et du risque pour l’optimisation de la planification de production au niveau tactique d’une entreprise multi-sites d’une chaîne logistique. La méthode proposée permet d’assurer une planification des opérations de production et d’approvisionnement tout en intégrant au sein de son processus décisionnel un mécanisme de gestion de risque, en présence de diverses sources d’incertitude et d’ambigüité. Pour cela, une «bibliothèque» de critères structurés en deux classes indépendantes : critères de performance et critères de risque a été proposée, dans laquelle le décideur peut sélectionner ceux qui sont en cohérence avec ses préférences et sa stratégie de planification. La méthode doit chercher le bon compromis entre les performances et les risques prédéfinis par le décideur. Pour cela, nous nous somme dirigés dans un premier temps sur le développement d’une approche d’aide à la décision multicritères floue couplant un modèle analytique et la méthode TOPSIS floue. Cette approche consiste à générer un éventail de plans réalisables, caractérisés par leur performance et leur résistance aux risques. Le décideur peut alors choisir le plan qui reflète le compromis le plus adapté à sa stratégie de décision. Une deuxième approche d’optimisation multi-objectifs floue a été proposée dans un deuxième temps pour faire face à des problèmes de planification de grande taille au sein des chaînes logistiques opérant dans un environnement dynamique et incertain. Cette approche combine la méthode TOPSIS Floue, la programmation multi-objectifs possibiliste et la méthode du Goal Programming. L’objectif est de déterminer un plan jugé de bon compromis vis-à- vis des préférences du décideur par rapport aux objectifs de performance et de résistance aux risques. L’instanciation des deux approches proposées sur un exemple numérique a montré leur applicabilité et leur efficacité pour faire face à des problèmes de planification des chaînes logistiques utilisant des données incertaines et des préférences subjectives. Les expérimentations des deux approches permettant de tirer un ensemble d’enseignements utiles.

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Hites, Gisèle. "Essays on the dynamics of cross-country income distribution and intra-household time allocation". Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210601.

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This thesis contributes to two completely unrelated debates in the economic literature, similar only in the relatively high degree of controversy characterizing each one.

The first part is methodological and macroeconomic in nature, addressing the question of whether the distribution of income across countries is converging (i.e. are the poor catching up to the rich?) or diverging (i.e. are we witnessing the formation of two exclusive clubs, one for poor countries and another one for rich countries?). Applications of the simple Markov model to this question have generated evidence in favor of the divergence hypothesis. In the first chapter, I critically review these results. I use statistical inference to show that the divergence results are not statistically robust, and I explain that this instability of the results comes from the application of a model for discrete data to data that is actually continuous. In the second chapter, I reposition the whole convergence-divergence debate by placing it in the context of Silverman’s classic survey of non-parametric density estimation techniques. This allows me to use the basic notions of fuzzy logic to adapt the simple Markov chain model to continuous data. When I apply the newly adapted Markov chain model to the cross-country distribution question, I find evidence against the divergence hypothesis, and this evidence is statistically robust.

The second part of the thesis is empirical and microeconomic in nature. I question whether observed differences between husbands’ and wives’ participation in labor markets are due to different preferences or to different constraints. My identification strategy is based on the idea that the more power an individual has relative to his/her partner, the more his/her actions will reflect his/her preferences. I use 2001 PSID data on cohabiting couples to estimate a simultaneous equations model of the spousal time allocation decision. My results confirm the stylized fact that specialization and trade does not explain time allocation for couples in which the wife is the primary breadwinner, and suggest that power could provide a more general explanation of the observations. My results show that wives with relatively more power choose to work more on the labor market and less at home, whereas husbands with more power choose to do the opposite. Since women start out from a lower level of labor market participation than men do, it would seem that spouses’ agree that the ideal mix of market work and housework lies somewhere between the husbands’ and the wives’ current positions.
Doctorat en sciences économiques, Orientation économie
info:eu-repo/semantics/nonPublished

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JAIN, VIPUL. "Hybrid approaches to model supplier related issues in a dynamic supply chain". Thesis, 2006. http://localhost:8080/iit/handle/2074/25489.

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Wu, Ming-chih, i 吳銘智. "A Fuzzy Logic approach to The Measurement of Supply Chain Flexibility". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/tf8ahv.

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碩士
國立虎尾科技大學
工業工程與管理研究所
95
In the field of supply chain management, most researchers agree that supply chain flexibility (SCF) is not easily to quantify. Although considerable attention has been paid to the research issues related to uncertainty and flexibility, the literature of supply chain flexibility has only emerged slowly and in a more scattered way. The purpose of this study is to propose an approach for measuring SCF. This research integrates uncertainty and flexibility concept into the supply chain management and develops fuzzy set model for measuring SCF. A theory framework for SCF is constructed and divided as following five dimensions: supply, product development, manufacturing, logistic and organization flexibility. The method applied in this study is by using questionnaire, in which questions and statements with respect to supply chain flexibility issues are proposed to ask the participants to identify the importance of the evaluation criteria and their company’s flexibility performance. And, then, a mathematical model of fuzzy set theory is applied and developed for the evaluation of supply chain system flexibility. The empirical application in this study is the power supply manufacturing industry in Taiwan. The result shows that the SCF of Taiwanese power supply manufacturing industry has a very good flexibility performance which is generally based on logistic management, supplier integration and organization communication, whereas the dimension of manufacturing flexibility shows the lowest score in the five dimensions. It is hoped that this research could provide an empirical application of flexibility measurement to the companies and improve the efficacy of managing their supply chain.

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Liu, Zheng-Yuan, i 劉烝源. "Applying Fuzzy Logic and Software Agents to Inventory Decision in a Supply Chain". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/97241567560600680106.

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碩士
朝陽科技大學
工業工程與管理系碩士班
93
Inventory control is an important issue in supply chain management. Enterprises have to set up the inventory to contain the variation in real environment but hard to do, and therefore perform the optimum inventory strategy for each member in dynamic multi-layer supply chain by using software agents. This study applied fuzzy logic to software agent for making decision. The system model was built by ithink Stella and the order quantity decided by traditional proportion control and fuzzy control. Experiment results demonstrate that fuzzy control with inventory does reduce the total cost and bullwhip effect , and members in supply chain can get high order fulfillment ratio.

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Minj, Amit Prem Prakash. "Green supply chain performance assessment: exploration fuzzy logic to tackle linguistic evaluation information". Thesis, 2014. http://ethesis.nitrkl.ac.in/6502/1/E-23.pdf.

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Green Supply Chain Management (GSCM) has appeared as an environmental innovation integrating environmental concerns into the supply chain management. Due to recent modification in environmental requirements, Govt. rules and regulations that affect manufacturing operations and services; growing attention is being given towards inclusion of environmental management strategies into traditional concept of supply chains. A Green Supply Chain (GSC) aims at confining the wastes within the industrial system so as to conserve energy and prevent the dissipation of harmful materials into the environment. In order to assess GSC performance extent, ‘green attributes’ must be considered along with traditional SC performance indices. The present work aims to discuss a methodology to deal with linguistic evaluation information through fuzzy logic for evaluating green supply chain performance and also attempts in identifying and prioritizing the key factors towards increasing ‘green competitiveness’. Here, the performance criteria/attributes have been evaluated by the expert group through linguistic variables which have further been transformed into Generalized Trapezoidal Fuzzy Numbers (GTFNs). Linguistic assessment of GSCM has been carried out based on different attributes, such as customer value, quality evaluation, performance measurement, appropriate price and environmental effect. Each attribute is followed by several criterions. Because of the vague and inconsistent nature of decision-makers’ linguistic evaluation information associated with GSCM; a fuzzy-based approach is indeed required to convert linguistic data into appropriate fuzzy numbers, for the analysis purpose. Apart from computing overall green performance extent, this research has been extended to identify ill-performing areas of an organizational GSC. Moreover, a case study has been reported in support of application feasibility of the proposed module.

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Karuturi, Poorna Chandu. "Application of Fuzzy Logic on Understanding of Risks in Supply Chain and Supplier Selection". Thesis, 2013. http://ethesis.nitrkl.ac.in/4696/1/211ME2349.pdf.

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The aim of this research is firstly to determine the key risk factors of Supply Chain Management (SCM) and developing an efficient model to assess them. In this work, first the risks involved in SCM has been identified and arranged in a systematic hierarchical structure. Questionnaire surveys have been used for data collection from a managerial decision-making group of a case industry. Next, based on the obtained linguistic data, a fuzzy logic based assessment module has been designed for the evaluation of aggregated SC risks. Finally, various risk factors have been categorized; then ranked using ‘fuzzy maximizing and minimizing fuzzy set theory’ in order to identify/assess the major risk factors that need to be managed or controlled. The present trend in the market is no longer the competition among the enterprises but the supply chain. Supplier selection is the most critical decision of the whole procuring department. Selection of supplier is a complicated decision involving many criteria to take into consideration. In later part, this study tries to rank the suppliers centred on different risks and draw a compromise solution. In order to achieve this, understanding risks is of utmost important. In this work, risks associated with the supplier selection have been recognized and analyzed to rank candidate suppliers based on their affinity to risk using fuzzy based VIKOR method. These risks have varied probability of occurrence and impact on the supply chain. Risks have been represented by linguistic variables and then parameterized by Triangular Fuzzy Number (TFN). Fuzzy risk extent has been calculated and thereby Fuzzy Best Value (FBV) and Fuzzy Worst Value (FWV) have been determined. Fuzzy Utility value has been calculated and utilizing this, ranking has been made by closeness to FBV and farness to FWV. Best alternative has been preferred by maximizing utility group and minimizing regret group.

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Kunc, Oliver. "Postponement in supply chain management: service dominant lens". Master's thesis, 2015. http://hdl.handle.net/10362/30153.

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Purpose – This paper focuses on postponement strategy in supply chain management within the context of service-dominant logic, and specifically addresses liaisons between them. Approach – Ample literature is reviewed in order to recognize and indicate possible over lapping. Firstly, a literature review of each of the concepts is provided. Then, we explain their compatibility. Subsequently, examples of real companies are used to provide illustrative interpretation in practice. Findings – Postponement strategies are in line with service-dominant logic. Moreover, it is observed that postponement is double-edged. It can be both a tool that enables customers to participate in value co-creation as well as a process that is dependent on a properly working network ecosystem that operates according to the principles of service-dominant logic. Originality – This paper identifies connections between service-dominant logic and postponement in supply chains. Furthermore, it provides academics with a comprehensive explanation of the mutual inclusivity of those two concepts.

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34

Yi, Lin, i 林毅. "Applications of Fuzzy Multi-objective Integrated Logistics Programming Approach to Green Supply Chain Management Problems". Thesis, 2015. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22103TIT05388005%22.&searchmode=basic.

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博士
國立臺北科技大學
管理學院管理博士班
103
Environmental pollution and waste of resources have become a worldwide issue. In today’s highly competitive global market, preferable environmental concerns and reserved considerations are acknowledged as having high potential to impact the benefits of the supply chain management. Based on this background, this study attempts to explore the optimal way of supply chain management within the domain of environmental responsibility and concerns. Recently, Both academicians and practitioners have tended to increase their interests in green supply chain management as the global trend. However, the uncertainty issue should be more considerable to close the real-world situation. Therefore, the objective of this research is to develop the fuzzy multi-objective integrated logistics model to solve green supply chain problems in the uncertain environment which is illustrated via the detailed numerical example. Results and the sensitivity analysis of numerical example indicate that when the governmental subsidy value increases, the profits of the integrated logistics chain also increases. To sum up, the finding shows that the governmental subsidy policy could remain of significant influence for used-product reverse logistics chain.

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35

Cheng, Ya-Yun, i 鄭雅云. "Applications of Fuzzy Set Theory in Supply Chain Management". Thesis, 2001. http://ndltd.ncl.edu.tw/handle/01064259482373604237.

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碩士
元智大學
工業工程研究所
89
The study offers a fuzzy linear supply chain model that operates in an uncertain environment. It shows that the external supplier reliability and the external consumer demand are the major factors of the uncertainty. This study uses fuzzy sets to explain the uncertainty of linear supply chain, and its major goal is to determine the order quantities for each inventory in the supply chain, that give an acceptable service level of the supply chain at reasonable total cost (to minimize both holding cost and shortage cost in each stock period). In addition, two control concepts of the supply chain are treated: (1) fully decentralized control of each inventory and (2) partial coordinate control in the inventories. These two methods can individually turn out the best fuzzy decision and evaluate the supply chain performance as well. The results of this study are as follows. (1)The best order quantities of the fuzzy linear supply chain model using fuzzy sets to explain the uncertainty is a fuzzy decision. It shows that the best order quantities will be relatively changed according to different possibilities of goods need from the possibilities of the external supplier reliability and the external consumer demand. (2) When the possibilities of the external supplier reliability and the external consumer demand become increasing, the best order quantities turns out more clearly. On the other hand, when these two possibilities mentioned above become decreasing, the best order quantities turns out more fuzzily. (3) By using fully decentralized control to plan order quantities and inventories in each inventory of the linear supply chain, it reflects that the best order quantities in each inventory turns out the same. (4) By using partial coordinate control to plan order quantities and inventories in each inventory of the linear supply chain, it reflects that the difference compared with fully decentralized control is that the best order quantities in each inventory turns out differently. (5) When the possibilities of the external supplier reliability and the external consumer demand become increasing, the fill rate of the supply chain is also relatively increasing. On the other hand, when the possibilities mentioned above become decreasing, the fill rate of the supply chain is decreasing too. (6) Partial coordinate control can result a better fill rate of the supply chain. Thus, in case consumer’s satisfaction serves as the sole factor for decision making, then the method of partial coordinate control is recommended to use so as to plan order quantities and inventories in each inventory of the linear supply chain. (7) Fully decentralized control can result a better control on the cost of the supply chain. Thus, in case cost control serves as the sole factor for decision making, then the method of fully decentralized control is recommended to use so as to plan order quantities and inventories in each inventory of the linear supply chain.

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36

HUANG, SUE FN, i 黃淑芬. "Apply Fuzzy PERT in Decision Analysis of Supply Chain Management". Thesis, 2004. http://ndltd.ncl.edu.tw/handle/59139717085321626382.

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碩士
大葉大學
資訊管理學系碩士班
92
Under the pressure of the globalizational competition, the enterprise must increase the ability for developing high-quality products speedily and diversely to satisfy the requirements of customers. Hence, the ability and speed for responding the market fluctuation are key factors to raise the competition of business. However, the statuses of operational flows of supply chain system are often lack of transparency. Each member of supply chain system can not control the operation time exactly. It will affect the management performance of the supply chain system. Combining the Fuzzy Set Theory (FST) with the Program Evaluation and Review Technique (PERT), we propose a process decision analysis model for supply chain system to evaluate the completion time and the ability for fulfillment the customers’ orders. Finally, we build a decision support system based on the process decision analysis model of supply chain network. According to the result of system simulation, our proposed analysis model can find the critical operations (or members), critical path and the possibility of fulfillment the customers’ orders in the supply chain system quickly. Furthermore, we can clearly define each member’s crash cost according to the crash time to shorten the operation time and adjust the resource of the critical members. According to the analysis result of the proposed model, the members of a supply chain system will strengthen the cooperation and trust to share the cost and profit.

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37

Chiang, Hsin-Yu, i 江信宇. "A Fuzzy DEMATEL Analysis of Key Success Factor for Supply Chain Management System Operation". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/wr4jzx.

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碩士
國立臺北科技大學
工業工程與管理研究所
97
Today’s market environment is characterized by diverse customer tastes and preferences, rapid developments in technology, and the management of globalization. To satisfy and respond quickly to the requirements, many companies are now focusing on supply chain management (SCM) system in order to strengthen their ability to compete. But the SCM system has high failure rate in implementation and operation phase, the data shows that the failure rate is about 60~70%. This research proposed a key success factors hierarchy based on SCM-related literature and experiences from a success case between TSMC and ASE. Focus group method was used to review this information and identify the hierarchy with thirteen key success factors of supply chain operation phase. Then this research design the questionnaire for fuzzy DEMATEL, and the questionnaire will be completed by experts who had involved in the successful case above. Then results from fuzzy analysis are the relationship between each factor. This research define a hierarchy of key success factor in supply chain operation phase, and the hierarchy can serve as a checklist to provide reference to reduce failure rate of such projects. The result of this research contributes to the understanding of the impact relationship among these KSFs and indicates the most important factors; therefore, it can provide valuable information for manager for decision making.

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38

Irani, Zahir, M. M. Kamal, Amir M. Sharif i P. E. D. Love. "Enabling sustainable energy futures: factors influencing green supply chain collaboration". 2017. http://hdl.handle.net/10454/14122.

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Yes
This article explores the relationship between sustainability strategies and future energy needs, supply chains need to reduce their CO2 emissions through developing their green credentials and improving performance. Knowledge management (KM) is an enabler to support collaboration efforts. The SCM and KM areas have largely focused on improving organisational performance. While the latter has yielded successful outcomes in different sectors, there is still a scarcity of research on identifying influential factors highlighting those aspects which may enable green supply chain collaboration (GrSCC), thus leading to sustainable energy futures and carbon-efficient production. This paper examines the role of KM in facilitating GrSCC. Through the identification of key factors extrapolated from the literature, a model for implementing GrSCC using a futures-based perspective is proposed. This paper inductively demonstrates the relationship between identified GrSCC factors through fuzzy cognitive mapping technique. Findings support a futures-based perspective that enhances understanding and refines forward-looking strategies for GrSCC.

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39

Chen, Chang-wei, i 陳昶維. "The effects of an integrated supply chain management on magazine supply chain member performance by using fuzzy cognitive map－A Case of FamilyMart Convenience Store in Taiwan". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/45928705770202771898.

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碩士
南華大學
出版與文化事業管理研究所
97
In Taiwan, convenience stores, which are widely distributed, provide a 24-hour even on holidays purchasing environment for customers, there are many people who became familiar with the idea of a main channel for purchase magazine. Up to date, the convenience stores have integrated magazine dealer with logistics system to form a new supply chain model. The supply chain management (SCM) has been widely studied in the academic as well as practical fields. However, there are fewer studies about the performance of magazine dealer. 　　　This paper is concerned with proposing a fuzzy cognitive map (FCM) driven approach for implementing expert decision support in the area of magazine dealer performance. A Fuzzy cognitive map is a cognitive map within which the relations between the elements (e.g. concepts, events, project resources) of a mental landscape can be used to compute the strength of impact of these elements. In this research, we propose a specific algorithms for interpreting the logic-based rules to FCMs as well as specific algorithms and formulas for calculating the values of multi-branch map hierarchies. 　　　First, the study discusses the relationship of convenience stores performance logistics, performance dealer, information system, power of negotiate and sales volume. Then construct the system relationship model. Second, we use Fuzzy Cognitive Maps to simulate the system relationship model. Finally, this paper presents preliminary experiments and comments on the usefulness of the proposed methodology tool. The results obtained in this study can be used to improve the service quality for magazine dealer and evaluate the management strategies.

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40

Lin, Yu-Ling, i 林育玲. "A Fuzzy AHP Analysis of Key Success Factors for Implementing Supply Chain Management System in the Semiconductor Industry". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/f8wbp5.

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碩士
國立臺北科技大學
工業工程與管理研究所
98
While supply chain management has become one of the important management approaches to creating closer enterprise collaborations, many companies invested significant resources in developing information systems to obtain desirable supply chain management (SCM). Error-free decision about information technology (IT) investment is vital. However, due to the complicated nature and often large scope of SCM IT implementation, few supply chain system implementations are considered successful. Furthermore, few research publications are directly related to the key success factors (KSF) of implementing a supply chain management system. The above motivates this research to define and analysis KSFs for SCM system implementation based on a successful SCM implementation project accomplished by Taiwan Semiconductor manufacturing Company and Advanced Semiconductor Engineering Inc. This study proposes a hierarchy of key success factors for implementing supply chain management system in semiconductor industry. The proposed hierarchy is based on a review of related publications and, more importantly, valuable industrial experience from focus group meetings with managers actively participating the successful SCM implementation project described above. Therefore, this proposed hierarchy provides a valuable reference for future project managers of SCM implementation projects, ensuring that all key success factors will be considered to avoid failure. This hierarchy may also serve as a foundation for academic research in fields related to SCM system implementation. Fuzzy Analytic Hierarchy Process (FAHP) was used to weight these dimensions and key success factors based on survey results from 16 executives and managers of the SCM implementation project described above. The resulting weightings provide future SCM system implementation projects executives with a reference for the relative importance of the dimensions and KSFs of the project. These weightings also serve as a valuable foundation for decision-making when critical or limited project resources must be allocated to resolve issues which are most critical to the success of the project.

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41

Hsieh, Yao Chen, i 謝兆貞. "Using Fuzzy Theory in Information Requirement Analysis for Supply Chain Management--The Case of the Aviation Industry In Taiwan". Thesis, 2001. http://ndltd.ncl.edu.tw/handle/04702372148019417269.

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碩士
長榮管理學院
經營管理研究所
89
Applying Information Technology (IT) to integrate the supply chain member and improve their cooperative relationship is an effective way of getting competitive advantage. Good planning on adopting suitable IT for supply chain decision support and information exchange is the key for such integration and improvement. An organizational Information Requirement Analysis (IRA) for supply chain management is needed prior to IT planning and resource allocation. Take the aviation industry as a case study; this research adopts ETHICS (Effective Technical and Human Implementation of Computer-Based Systems) as IRA methodology and represents the technical results as information system architecture. Both technical and social factors are considered in requirement analysis and represented in terms of business process, data & network, control, and information technology architectures. At the same time, use Fuzzy Theory to help building the weight of the objections, which is selected by experts. The results can effectively guide the information resource planning and fit the process change over the supply chain member, and meaningful implications for interorganizational information systems planning are also provided.

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42

Bean, Willemiena Lodewika. "Inventory management under uncertainty : a military application". Diss., 2011. http://hdl.handle.net/2263/28906.

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Inventory management under uncertainty is a widely researched field and many different types of inventory models have been used to address inventory problems in practice [1, 10, 11, 26, 50, 35]. However, there is a lack of published studies focusing on inventory planning in environments, such as the military, that are characterised by uncertainty as a result of extreme events. A critical area in military decision support is inventory management. Planning for stock levels in particular can be a daunting task, due to the uncertainty associated with the future. The military is typically an environment where improbable events can have massive impacts on operations; and the availability of the correct amount of stock can enhance the responsiveness, efficiency, and preparedness of the military, and ultimately save human lives. On the other hand, excessive stock - especially ammunition - can result in huge monetary losses through damages, stock degradation, and stock obsolescence. Excessive ammunition also poses a risk to public safety, and can ultimately challenge a country's ability to control the use of force. It is therefore very important to provide proper attention to determining the required stock levels during military inventory management. This dissertation aims, therefore, to develop a reliable decision support tool that can assist with inventory management in the military. To achieve this, a mixed multi-objective mathematical model is used that attempts to minimise cost, shortages, and stock while incorporating demand uncertainty by means of probability distributions and fuzzy numbers. The model considers three different scenarios, and determines the minimum required stock level and the best order quantity for three different stock categories, for a single ammunition item. The model is converted into its crisp, non-fuzzy, and deterministic counterpart first by transforming the fuzzy constraints into their crisp versions and then deriving the deterministic model of the crisp recourse stochastic model. The corresponding crisp, deterministic model is then solved using exact branch-and-bound embedded in the LINGO 10.0 optimisation software package and the reliability of the solutions in different scenarios is tested by means of discrete event simulation. The reliability of the model is then compared with the reliabilities of the well known (r;Q) and (s; S) inventory models in the literature. The comparison indicates that the mixed model proposed in this dissertation is more reliable in extreme scenarios than the (r;Q) and (s; S) inventory models in the literature. A sensitivity analysis is then performed and results indicate that the model yields reliable solutions with a reliability that varies between 74.54% and 100%, depending on the scenario investigated. The lower reliability is during the high demand scenario, this is caused by the ability of the inventory model to prioritise different scenarios based on their estimated possibility to ensure that stock levels are not unneccessary escalated for highly improbable events. It can be concluded that the proposed mixed multi-objective mathematical model that aims to minimise inventory cost, surplus stock, and shortages is a reliable inventory decision support model for the uncertain military environment.
Dissertation (MEng)--University of Pretoria, 2011.
Industrial and Systems Engineering
unrestricted

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43

Weng, Chih-Chang, i 翁志昌. "Decision-Making Analysis of Supply Chain Management of Spare Parts: The Case of the Aerospace Industrial Development Corporation (AIDC)". Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5412042%22.&searchmode=basic.

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碩士
國立中興大學
農業企業經營管理碩士在職專班
107
For MRO (Maintenance, Repair & Operation) maintenance and production operations in the aviation industry, its backup components are playing an increasingly important role in the manufacturing industry, as the MRO backup component supply chain management plan must be coordinated to ensure smooth production capacity and optimized total cost. Owing to the particularity of the spare parts and the random uncertainty of the production and storage, this study cultivates a model of stochastic programming using the quantitative mathematical model to improve the MRO spare parts supply chain plan is developed. First, this study quantify the uncertain production time capability as a random variable with a probability distribution. Second, the upper limit of the inventory cost is set to the multi-selection variable in the a limit. Finally, this study used the Lagrange Interpolating Polynomial Approach to conduct a case test of the model in the supply chain plan of the vacuum hot-press furnace (Autoclave), and the values of the optimized equivalent deterministic model and the non-zero decision variables of the linear programming arrangement were derived. And verify that the larger the difference between the objective function of the actual production time and the expected production time, the higher the labor cost required for the input will be, and the optimal cost is limited by the amount of equipment invested. In this case, the model variables could be more precisely seperated the differences. Compared to inventory management and modest manpower arrangements that are only through raw material components, stable machinery and equipment operation and good supply chain planning for operation and replenishment, the act of making a decision about effectiveness.

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44

Siciliano, Giorgia Giusi. "Managing cyber risk in organizations and supply chains". Doctoral thesis, 2018. http://hdl.handle.net/11562/978872.

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In the Industry 4.0, modern organizations are characterized by an extensive digitalization and use of Information Technology (IT). Even though there are significant advantages in such a technological progress, a noteworthy drawback is represented by cyber risks, whose occurrence dramatically increased over the last years. The information technology literature has shown great interested toward the topic, identifying mainly technical solutions to face these emerging risks. Nonetheless, cyber risks cause business disruption and damages to tangible and intangible corporate assets and require a major integration between technical solutions and a strategic management. Recently, the risk management domain and the supply chain literature have provided studies about how an effective cyber risk management process should be planned, to improve organizational resilience and to prevent financial drawbacks. However, the aforementioned studies are mainly theoretical and there is still a significant lack of empirical studies in the management literature, measuring the potential effects of cyber threats within single companies, and along networks of relationships, in a wider supply chain perspective. The present thesis aims at filling some of these gaps through three empirical essays. The first study has implemented a Grounded Theory approach to develop an interview targeting 15 European organizations. Afterwards, the fuzzy set Qualitative Comparative Analysis (fsQCA) has been performed, in order to ascertain how managers perceive cyber risks. Results contradict studies that focus merely on technical solution, and conﬁrm the dynamic capability literature, which highlights the relevance of a major integration among relational, organizational, and technical capabilities when dealing with technological issues. Moreover, the study proposes a managerial framework that draws on the dynamic capabilities view, in order to consider the complexity and dynamism of IT and cyber risks. The framework proposes to implement both technical (e.g. software, insurance, investments in IT assets) and organizational (e.g. team work, human IT resources) capabilities to protect the capability of the company to create value. The second essay extends the investigation of the drawbacks of cyber risks to supply chains. The study conducts a Grounded Theory empirical investigation toward several European organizations that rely on security and risk management standards in order to choose the drivers of systematic IT and cyber risk management (risk assessment, risk prevention, risk mitigation, risk compliance, and risk governance). The evidence gleaned from the interviews have highlighted that investments in supply chain mitigation strategies are scant, resulting in supply chains that perform like they had much higher risk appetite than managers declared. Moreover, it has emerged a general lack of awareness regarding the effects that IT and cyber risks may have on supply operations and relationships. Thus, a framework drawing on the supply chain risk management is proposed, offering a holistic risk management process, in which strategies, processes, technologies, and human resources should be aligned in coherence with the governance of each organization and of the supply chain as a whole. The ﬁnal result should be a supply chain where the actors share more information throughout the whole process, which guarantees strategic beneﬁts, reputation protection, and business continuity. The third essay draws on the Situational Crisis Communication Theory (SCCT) to ascertain whether and how different types of cyber breaches differently affect the corporate reputation, defined as a multidimensional construct in which perceptions of customers, suppliers, (potential) employees, investors and local communities converge. Data breaches have been categorized into three groups by the literature, meaning intentional and internal to the organization (e.g., malicious employees stealing customers’ data), unintentional and internal to the organization (e.g., incorrect security settings that expose private information), and intentional and external to the organization (e.g., ransomware infecting companies’ software). However, this is among the first study to analyse the different reputational drawbacks these types may cause. Moreover, the study considers that, in the industry 4.0 era, social media analysis may be of paramount importance for organizations to understand the market. In fact, user-generated content (UGC), meaning the content created by users, might help in understanding which dimensions of the corporate have been more attacked after a data breach. In this context, the study implements the Latent Dirichlet Allocation (LDA) automated method, a base model in the family of “topic models”, to extract the reputational dimensions expressed in UGC of a sample of 35 organizations in nine industries that had a data breach incident between 2013 and 2016. The results reveal that in general, after a data breach, three dimensions—perceived quality, customer orientation and corporate performance— are a subject of debate for users. However, if the data breach was intentional ad malicious, users focused more on the role of firms’ human resources management, whereas if users did not identify a responsible, users focused more on privacy drawbacks. The study complements crisis communication research by categorizing, in a data breach context, stakeholders’ perceptions of a crisis. In addition, the research is informative for risk management literature and reputation research, analysing corporate reputation dimensions in a data breach crisis setting.

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