Relevant bibliographies by topics / Supply chain management-Fuzzy logic

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Supply chain management-Fuzzy logic'

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Published: 6 September 2023

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Journal articles on the topic "Supply chain management-Fuzzy logic"

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JADHAV, D. S., and V. H. BAJAJ. "Supply chain management under fuzzy logic approach." INTERNATIONAL JOURNAL OF COMMERCE AND BUSINESS MANAGEMENT 7, no. 2 (October 15, 2014): 372–76. http://dx.doi.org/10.15740/has/ijcbm/7.2/372-376.

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Wang, Juite, and Yun-Feng Shu. "Fuzzy decision modeling for supply chain management." Fuzzy Sets and Systems 150, no. 1 (February 2005): 107–27. http://dx.doi.org/10.1016/j.fss.2004.07.005.

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Ganga, Gilberto Miller Devós, and Luiz Cesar Ribeiro Carpinetti. "A fuzzy logic approach to supply chain performance management." International Journal of Production Economics 134, no. 1 (November 2011): 177–87. http://dx.doi.org/10.1016/j.ijpe.2011.06.011.

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Ganguly, Kunal K., R. K. Padhy, and Siddharth Shankar Rai. "Managing the humanitarian supply chain: a fuzzy logic approach." International Journal of Disaster Resilience in the Built Environment 8, no. 5 (November 13, 2017): 521–36. http://dx.doi.org/10.1108/ijdrbe-07-2015-0038.

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Purpose Humanitarian supply chain management (HSCM) in today’s environment faces the challenges such as information availability, inventory management, collaboration, logistics related issues and preparedness. The purpose of this paper is to evaluate the HSCM performance, considering the consequences in terms of operation, recovery and responsiveness based on the fuzzy estimates of the components presented. Design/methodology/approach In the study, triangulation approach was adapted for collecting data and developing a hierarchical structure for humanitarian supply chain performance assessment. The relationships between HSCM performance and its suddenness and required preparedness are depicted by cause and effect diagrams. The concepts of fuzzy association and fuzzy composition are applied to identify relationships. Findings In the hierarchy presented, the performance in a disaster situation, preparedness and suddenness of the situation and factors that influence the above are modeled. The taxonomy is developed for describing the relationship between factors, their likelihoods and impacts to achieve consistent quantification. Research limitations/implications The study considers case studies from Indian conditions; however, conditions in other countries and their practices for the disaster management may vary to certain extent. Practical implications A methodology presented for evaluating the exposures in considering the consequences in terms of responsiveness, operations, recovery, mitigation and emergency response. The study may help the humanitarian relief practitioners to understand the insights of the disaster situations using the proposed framework. Originality/value A common language for describing the different factors of HSCM is presented, which includes terms for quantifying likelihoods and impacts. The concept of fuzzy association and fuzzy composition has been applied to identify relationships between sources and consequences on HSCM performance. The use of descriptive linguistic variables is ensured through the implementation of fuzzy logic.
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Sayed, Maysara, Linda C. Hendry, and Marta Zorzini Bell. "Institutional complexity and sustainable supply chain management practices." Supply Chain Management: An International Journal 22, no. 6 (September 11, 2017): 542–63. http://dx.doi.org/10.1108/scm-10-2016-0365.

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Purpose The purpose of this study is to empirically investigate the impact of institutional pressures, institutional logics and institutional complexity on Sustainable Supply Chain Management (SSCM) practices across mixed public and private sector supply chains. Design/methodology/approach Multi-case study data were collected from three tiers of food and catering supply chains: the customer/consumer tier; focal public sector UK Universities; and private sector suppliers/contractors. Findings The findings indicate that: normative and mimetic pressures are more prevalent in focal Universities, compared to suppliers; there is typically no single dominant logic across these supply chains; and the multiplicity of institutional logics (e.g. sustainability logic versus financial logic) increases institutional complexity. Therefore, in the typical case of homogeneity in terms of institutional pressures and logics, e.g. with a dominant sustainability logic throughout the supply chain, radical change in SSCM practices is facilitated. In contrast, in the more typical case when there is heterogeneity, with competing logics at different supply chain tiers, this limits SSCM to more incremental changes in practices. Research limitations/implications This study is limited to three tiers of the food and catering supply chains of UK Universities. Practical implications To aid in the successful implementation of SSCM, this study suggests a need for managers to develop an initial understanding of the prevailing institutional logics and pressures at different tiers of the supply chain. Social implications A number of the SSCM practices studied address social sustainability. Originality/value No previous studies have empirically investigated the impact of institutional complexity in the context of SSCM practices across supply chains, involving both mixed public and private sector organisations.
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Barcellos de Paula, Luciano, Anna María Gil-Lafuente, and Aline de Castro Rezende. "Sustainable Management of the Supply Chain Based on Fuzzy Logic." Cybernetics and Systems 52, no. 7 (April 19, 2021): 579–600. http://dx.doi.org/10.1080/01969722.2021.1910763.

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Butusov, O. B., and M. E. Dubinin. "Decision support system for supplier selection in supply chain." Izvestiya MGTU MAMI 7, no. 1-4 (July 10, 2013): 268–71. http://dx.doi.org/10.17816/2074-0530-67927.

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Designed fuzzy logic algorithm and software and information management decision support system for the rational choice of supplier in the supply chain by using the analytic hierarchy process (AHP) and the operations of the theory of fuzzy sets. The functioning of the DSS has been verified experimentally on real accounting and statistics. The results of numerical experiments confirmed the effectiveness of the proposed algorithm for the adoption of logistics management solutions.
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., Sunil, Dharmanshu Kumar, Udit Mehta, and Rakesh Kumar. "Identification of the Barriers of Reverse Supply Chain." International Journal of Advance Research and Innovation 8, no. 2 (2020): 144–62. http://dx.doi.org/10.51976/ijari.822025.

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Reverse supply chains represent an opportunity to create a value stream, not financial loss. Reverse supply chains deserve as much attention at the corporate level as forward supply chains and should be managed as business processes that can create value for the company. Many manufacturing firms have not yet adapted reverse supply chain but view it as the great nightmare to their organizational system. Like many other system, reverse supply chain has also its critical success factors. This research aims to identify the barriers of reverse supply chain management which invariably present in the system. Among the critical success factors, those perform below the threshold were identified as barrier using fuzzy logic technique.
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Agami, Nedaa, Mohamed Saleh, and Mohamed Rasmy. "An Innovative Fuzzy Logic Based Approach for Supply Chain Performance Management." IEEE Systems Journal 8, no. 2 (June 2014): 336–42. http://dx.doi.org/10.1109/jsyst.2012.2219913.

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Vo, Thanh Van, and Trung Quoc Pham. "APPLYING CFMAE METHOD TO BUILD A SUPPLY CHAIN PERFORMANCE ASSESSMENT SYSTEM IN TEXTILE INDUSTRY IN HO CHI MINH CITY." Science and Technology Development Journal 17, no. 4 (December 31, 2014): 69–82. http://dx.doi.org/10.32508/stdj.v17i4.1545.

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The paper provides an application which is a combination between decision making technique and fuzzy logic to build a supply chain performance measurement system in textile industry in Ho Chi Minh City. The methodology is a combination of theoretical analysis, Delphi quantitative method and Combined Fuzzy Multiple Attribute Evaluation (CFMAE) method. First of all, based on theories on textile supply chain, we developed a hierarchical system for performance measurement. After three Delphi rounds to seek opinions of experts on the system, the CFMAE which consists of two phases (fuzzy integral and fuzzy analysis hierarchy process – FAHP) was conducted to build a supply chain performance measurement system in textile industry with general attributes. The study has constructed a supply chain performance measurement system in textile industry in Ho Chi Minh City with suitable attributes. The weight of attributes is determined as a general viewpoint of the industry of the importance of the attributes to the supply chain performance. In terms of practicality, this paper provides an approach in the performance measurement for the textile supply chain that serves as a framework for a centralized and effective improvement. The scientific meaning of this paper is the application of the fuzzy logic in economics and management to eliminate the subjectivity in the decision making process.
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Dissertations / Theses on the topic "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, and 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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Books on the topic "Supply chain management-Fuzzy logic"

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Martin, Christopher. Logistics and supply chain management. Burr Ridge, Ill: Financial Times/Irwin Professional Pub., 1994.

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Martin, Christopher. Logistics and supply chain management: Creating value-added networks. 3rd ed. Harlow, England: Financial Times Prentice Hall, 2005.

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Logistics and supply chain management: Creating value-adding networks. 3rd ed. Harlow, England: Financial Times Prentice Hall, 2005.

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Logistics and supply chain management: Strategies for reducing costs and improving services. London: Financial Times, 1992.

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Logistics and supply chain management: Strategies for reducing cost and improving service. 2nd ed. London: Financial Times/Pitman, 1998.

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Supply Chain Management Under Fuzziness: Recent Developments and Techniques. Springer, 2014.

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Kahraman, Cengiz, and Başar Öztayşi. Supply Chain Management under Fuzziness: Recent Developments and Techniques. Springer London, Limited, 2014.

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Kahraman, Cengiz, and Başar Öztayşi. Supply Chain Management Under Fuzziness: Recent Developments and Techniques. Springer, 2016.

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Value Determination Of Supply Chain Initiatives A Quantification Approach Based On Fuzzy Logic And System Dynamics. Gabler Verlag, 2010.

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Wessely, Philip. Value Determination of Supply Chain Initiatives: A Quantification Approach Based on Fuzzy Logic and System Dynamics. Westdeutscher Verlag GmbH, 2010.

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Book chapters on the topic "Supply chain management-Fuzzy logic"

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Díaz-Curbelo, Alina, Ángel Manuel Gento Municio, and Rafael Alejandro Espin-Andrade. "Fuzzy Logic-Based Approaches in Supply Chain Risk Management: A Review." In Computational Intelligence for Business Analytics, 79–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73819-8_5.

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Naderi, Mohammad Javad, Mir Saman Pishvaee, and Seyed Ali Torabi. "Applications of Fuzzy Mathematical Programming Approaches in Supply Chain Planning Problems." In Fuzzy Logic in Its 50th Year, 369–402. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31093-0_16.

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Guijarro-Rodríguez, Alfonso A., Lorenzo J. Cevallos-Torres, Edison R. Valencia-Nuñez, Alexandra M. Wilches-Medina, and Vicente A. Correa-Barrera. "Analysis of Transport Logistics Costs in Supply Chain Management by Applying Fuzzy Logic." In Communications in Computer and Information Science, 145–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72727-1_11.

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Kluska, Kamila, and Patrycja Hoffa-Dąbrowska. "Logic for Management of Vehicles at Warehouse." In Smart and Sustainable Supply Chain and Logistics – Trends, Challenges, Methods and Best Practices, 73–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61947-3_5.

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Dong, A. H., W. K. Wong, S. F. Chan, and P. K. W. Yeung. "Developing an Apparel Supply Chain Simulation System with the Application of Fuzzy Logic." In Computational Textile, 185–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-70658-8_11.

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Grossmann, Ignacio E. "Advances in Logic-Based Optimization Approaches to Process Integration and Supply Chain Management." In Chemical Engineering, 299–322. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470025018.ch11.

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Öztayşi, Başar, and Mine Işık. "Supplier Evaluation Using Fuzzy Clustering." In Supply Chain Management Under Fuzziness, 61–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53939-8_4.

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Sindi, Safaa, and Michael Roe. "The Application of Fuzzy Delphi to Strategic Supply Chain Modelling." In Strategic Supply Chain Management, 131–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54843-2_6.

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Amindoust, Atefeh, and Ali Saghafinia. "Supplier Evaluation Using Fuzzy Inference Systems." In Supply Chain Management Under Fuzziness, 3–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53939-8_1.

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Bozhenyuk, Alexandr, and Evgeniya Gerasimenko. "Flows Finding in Networks in Fuzzy Conditions." In Supply Chain Management Under Fuzziness, 269–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53939-8_12.

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Conference papers on the topic "Supply chain management-Fuzzy logic"

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Pilevari, N., S. M. SeyedHosseini, and J. Jassbi. "Fuzzy logic Supply Chain Agility Assessment methodology." In 2008 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2008. http://dx.doi.org/10.1109/ieem.2008.4738043.

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Mostafa, Abdelrahman Ibrahim, Abdelrahman Mostafa Rashed, Yasmin Ashraf Alsherif, Yomna Nagah Enien, Menatalla Kaoud, and Ahmed Mohib. "Supply Chain Risk Assessment Using Fuzzy Logic." In 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES). IEEE, 2021. http://dx.doi.org/10.1109/niles53778.2021.9600100.

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Alaoui, Mohamed El, and Hussain Ben-Azza. "Aggregation of performance indicators for supply chain and fuzzy logic extensions applied to green supply chain." In 2017 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2017. http://dx.doi.org/10.1109/logistiqua.2017.7962870.

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Sarir, Hicham, and Benkacem Abderhmane. "Smart inventory control by using PID ACO controller and fuzzy logic controller." In 2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2022. http://dx.doi.org/10.1109/logistiqua55056.2022.9938044.

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Aydın, Serhat, and Cengiz Kahraman. "Order Fulfillment Performance Evaluation in Supply Chain Management Under Intuitionistic Fuzzy Environment." In Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/eusflat-19.2019.9.

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Ettahiri, Fatima Ezzahra, and Mina Elmaallam. "The impact of Fuzzy Logic on Knowledge Management in the context of Supply Chain." In the 2nd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3320326.3320395.

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See, Tung-King, Edward M. Kasprzak, Tarunraj Singh, and Kemper E. Lewis. "Modeling of Supply Chain Decision Logic Using PID Controllers." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57760.

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Abstract:
Most manufacturing takes place in the context of a supply chain. Each station in the supply chain must not only manufacture a product but also decide how much to produce. This decision is influenced by the supply of materials/components from the next station down in the supply chain and the demand from the next station up. With the advent of increased customization, inventory management is increasingly becoming a critical issue in the manufacturing process. In this paper we model the decision logic at each stage of a supply chain system through the use of system identification and PID controllers. The goal is to investigate and manage the costs of manufacturing a product in the context of a supply chain. It is assumed that the supply chain has well-understood interactions between individual positions, allowing for a focus on the ordering decision logic. A review of ordering strategies is presented, and a discussion of the difficulties in determining PID gains for human decision makers is included. The results show a range of correlation between the PID simulation and measured supply chain inventories. This stems from a number of factors, which are discussed. Additionally, ordering strategies to optimize the supply chain are investigated.
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Guo, Wei, and Ke Chen. "Strategy-Oriented Supply Chain Performance Management Based On Factor Logic Analysis." In Eighth International Conference of Chinese Logistics and Transportation Professionals (ICCLTP). Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/40996(330)85.

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Zhang, Zhen, Guangquan Zhang, Jie Lu, and Chonghui Guo. "A fuzzy tri-level decision making algorithm and its application in supply chain." In The 8th conference of the European Society for Fuzzy Logic and Technology. Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/eusflat.2013.22.

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Li, Jizi, Chunling Liu, and Peiling Guo. "Optimization on Logistics Capability in Cluster Supply Chain Based on Fuzzy Logic and AHP." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.319.

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