Relevant bibliographies by topics / Dynamic supply chain-Fuzzy logic

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Academic literature on the topic 'Dynamic supply chain-Fuzzy logic'

Author: Grafiati
Published: 6 September 2023
Last updated: 7 September 2023

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Journal articles on the topic "Dynamic supply chain-Fuzzy logic"

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Poornikoo, Mehdi, and Muhammad Azeem Qureshi. "System dynamics modeling with fuzzy logic application to mitigate the bullwhip effect in supply chains." Journal of Modelling in Management 14, no. 3 (August 2, 2019): 610–27. http://dx.doi.org/10.1108/jm2-04-2018-0045.

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Purpose A plethora of studies focused on the cause and solutions for the bullwhip effect, and consequently many have successfully experimented to dampen the effect. However, the feasibility of such studies and the actual contribution for supply chain performance are yet up for debate. This paper aims to fill this gap by providing a holistic system-based perspective and proposes a fuzzy logic decision-making implementation for a single-product, three-echelon and multi-period supply chain system to mitigate such effect. Design/methodology/approach This study uses system dynamics (SD) as the central modeling method for which Vensim® is used as a tool for hybrid simulation. Further, the authors used MATLAB for undertaking fuzzy logic modeling and constructing a fuzzy inference system that is later on incorporated into SD model for interaction with the main supply chain structure. Findings This research illustrated the usefulness of fuzzy estimations based on experts’ linguistically and logically defined parameters instead of relying merely on the traditional demand forecasting based on time series. Despite the increased complexity of the calculations and structure of the fuzzy model, the bullwhip effect has been considerably decreased resulting in an improved supply chain performance. Practical implications This dynamic modeling approach is not only useful in supply chain management but also the model developed for this study can be integrated into a corporate financial planning model. Further, this model enables optimization for an automated system in a company, where decision-makers can adjust the fuzzy variables according to various situations and inventory policies. Originality/value This study presents a systemic approach to deal with uncertainty and vagueness in dynamic models, which might be a major cause in generating the bullwhip effect. For this purpose, the combination between fuzzy set theory and system dynamics is a significant step forward.
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Jamegh, Riyadh, Dr AllaEldin Kassam, and Dr Sawsan Sabih. "DEVELOPMENT OF FUZZY LOGIC APPROACH TO OPTIMIZE SAFETY STOCK LEVEL IN DETERIORATED PRODUCTS/A SUPPLY CHAIN DAIRY INDUSTRIES CASE STUDY." Al-Qadisiyah Journal for Engineering Sciences 11, no. 3 (January 31, 2019): 332–44. http://dx.doi.org/10.30772/qjes.v11i3.564.

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In today's complex environment, a high responding ability represents a core for each organization to survive in a competitive environment. To grip your position in intense competition market, the organization must design high efficiency inventory system that has the ability to respond to changes in demand and at the same time reduce holding cost of accommodation to the lowest possible value by controlling inventory drivers such as safety stock level (SS). The traditional approaches of safety stock are limited to deal with dynamic behavior of market. Advanced approaches based on soft computing allow the dynamic updating of SS level. In this paper, a highly advanced dynamic fuzzy logic (DFL) has been suggested as an innovation step to identify safety stock level in dairy industries with objective of minimizing total cost and meet with customer requirements. The proposed approach consists of three main steps firstly, identifying demand uncertainty conditions by applying fuzzy logic steps embedded by identifying dynamic (N) factor which represents the increasing level in demand in period time. Secondly, identifying of raw material availability conditions by applying fuzzy logic steps, and finally, identification of inventory on hand conditions by applying fuzzy logic steps. It is necessary to identify the level of SS dynamically in fuzzy logic as an output embedded with identifying of period specification concept which describes states of demand in a specific period in which the demand is high, medium, or low which leads to identify maximum values of universe of discourse of output (safety stock). Here Matlab program was used. The provided solution demonstrates the proposed model validity. There has been a significant reduction in safety stock level ranging from (7-98)% depending on product type and period specification with a reduction also in holding cost, while keeping the requirements fulfillment of customers demand
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Xu, Bowei, Weiting Liu, and Junjun Li. "Resilience Regulation Strategy for Container Port Supply Chain under Disruptive Events." Journal of Marine Science and Engineering 11, no. 4 (March 28, 2023): 732. http://dx.doi.org/10.3390/jmse11040732.

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There are many inevitable disruptive events, such as the COVID-19 pandemic, natural disasters and geopolitical conflicts, during the operation of the container port supply chain (CPSC). These events bring ship delays, port congestion and turnover inefficiency. In order to enhance the resilience of the CPSC, a modified two-stage CPSC system containing a container pretreatment system (CPS) and a container handling system (CHS) is built. A two-dimensional resilience index is designed to measure its affordability and recovery. An adaptive fuzzy double-feedback adjustment (AFDA) strategy is proposed to mitigate the disruptive effects and regulate its dynamicity. The AFDA strategy consists of the first-level fuzzy logic control system and the second-level adaptive fuzzy adjustment system. Simulations show the AFDA strategy outperforms the original system, PID, and two pipelines for improved dynamic response and augmented resilience. This study effectively supports the operations manager in determining the proper control policies and resilience management with respect to indeterminate container waiting delay and allocation delay due to disruptive effects.
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Matawale, Chhabi Ram, Saurav Datta, and S. S. Mahapatra. "A fuzzy embedded leagility assessment module in supply chain." Benchmarking: An International Journal 23, no. 7 (October 3, 2016): 1937–82. http://dx.doi.org/10.1108/bij-12-2013-0113.

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Purpose In today’s ever-changing global business environment, successful survival of manufacturing firms/production units depends on the extent of fulfillment of dynamic customers’ demands. Appropriate supply chain strategy is of vital concern in this context. Lean principles correspond to zero inventory level; whereas, agile concepts motivate safety inventory to face and withstand in turbulent market conditions. The leagile paradigm is gaining prime importance in the contemporary scenario which includes salient features of both leanness and agility. While lean strategy affords markets with predictable demand, low variety and long product life cycle; agility performs best in a volatile environment with high variety, mass-customization and short product life cycle. Successful implementation of leagile concept requires evaluation of the total performance metric and development of a route map for integrating lean production and agile supply in the total supply chain. To this end, the purpose of this paper is to propose a leagility evaluation framework using fuzzy logic. Design/methodology/approach A structured framework consisting of leagile capabilities/attributes as well as criterions has been explored to assess an overall leagility index, for a case enterprise and the data, obtained thereof, has been analyzed. Future opportunities toward improving leagility degree have been identified as well. This paper proposes a Fuzzy Overall Performance Index to assess the combined agility and leanness measure (leagility) of the organizational supply chain. Findings The proposed method has been found fruitful from managerial implication viewpoint. Originality/value This paper aimed to present an integrated fuzzy-based performance appraisement module in an organizational leagile supply chain. This evaluation module helps to assess existing organizational leagility degree; it can be considered as a ready reference to compare performance of different leagile organization (running under similar supply chain architecture) and to benchmark candidate leagile enterprises; so that best practices can be transmitted to the less-performing organizations. Moreover, there is scope to identify ill-performing areas (barriers of leagility) which require special managerial attention for future improvement.
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Aengchuan, Prasert, and Busaba Phruksaphanrat. "Inventory System Design by Fuzzy Logic Control: A Case Study." Advanced Materials Research 811 (September 2013): 619–24. http://dx.doi.org/10.4028/www.scientific.net/amr.811.619.

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Existing inventory lot-sizing models assume certain demand and sufficient supply, which are not practical for industry. Dynamic inventory models can serve uncertain demand, but supply is assumed to be available. However, in the real world situation, supply is not always offered. So, the method that can deal with both uncertain demand and supply should be developed. Fuzzy logic control is now being the effective methodology in many applications under uncertainty. Therefore, a fuzzy logic approach for solving the problem of inventory control under uncertainty was proposed for a case study factory. In the proposed Fuzzy Inventory System (FIS), both demand and availability of supply are described by linguistic terms. Then, the developed fuzzy rules are used to extract the fuzzy order quantity and the fuzzy reorder point continuously. The order quantity and reorder point are both adjusted according to the FIS system. In this research, the suitable ranges for the inputs of the FIS model are justified for the case study factory. Moreover, the effect of trend demands for both increase and decrease are also analyzed with the proposed range. Inventory costs of the proposed fuzzy inventory system are compared with the existing model based on historical data of the case study factory. It found that the proposed range can obtain lower cost than the previous research FIS lot-sizing model, which is better than conventional approaches.
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Pérez-Pimentel, Yolanda, Ismael Osuna-Galán, Carlos Avilés-Cruz, and Juan Villegas-Cortez. "Power Supply Management for an Electric Vehicle Using Fuzzy Logic." Applied Computational Intelligence and Soft Computing 2018 (November 5, 2018): 1–9. http://dx.doi.org/10.1155/2018/2846748.

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The technology of power electronic systems has diversified into industrial, commercial, and residential areas. Developing a strategy to improve the performance of the electrical energy of an electric vehicle (EV) requires an analysis of the model that describes it. EVs are complex mechatronic systems described by nonlinear models and, therefore, its study is not an easy task. It can improve the performance of a battery bank by creating new batteries that allow for greater storage or by developing a management energy system. This article shows the development of a power supply management system based on fuzzy logic for an electric vehicle, in order to minimize the total energy consumption and optimize the battery bank. The experimental result is shown using the fuzzy controller under standard operating conditions. An increase in battery performance and overall performance of energy consumption is shown. Speed signals acquired show improvements in some dynamic, such as overshoot, settling time, and steady-state error parameters. It is shown that this fuzzy controller increases the overall energy efficiency of the vehicle.
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Al-Zabidi, Ayoub, Ateekh Ur Rehman, and Mohammed Alkahtani. "An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization." Sustainability 13, no. 4 (February 6, 2021): 1752. http://dx.doi.org/10.3390/su13041752.

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Worldwide business organizations realize that agility of sustainable supply-chain is a requisite need for survival in a dynamic, competitive, and unpredictable market. The contribution of this research is to explore and evaluate sustainable agility in supply chains for a dairy manufacturing organization located in Saudi Arabia. Other contributions of this research are to update the literature about the different factors contributing to achieve agile supply chain, propose conceptual framework and assessment approach incorporating the relationships between sustainable supply-chain capabilities, enablers, and attributes, and shortlisting the agility barriers and how they would facilitate manufacturing organizations’ performance. The paper presents supply chain agility evaluation approach, which covers identification of agile supply-chain capabilities and drivers. It also presents a conceptual model and a framework to define agility level and barriers within the supply-chain. In the paper, fuzzy logic approach is preferred, owing to its capability to incorporate and deal with problems involving impreciseness and vagueness phenomena. Threshold-value in this study for the case organization is set to 0.24829. The outcome of the adopted approach indicates that 21 attributes performed below the threshold value; these attributes are further categorized as agility barriers. These are the barriers within their supply chain that impact the agility-level. For the case organization, the foremost priority is to enhance maintainability and serviceability to make it flexible and inexpensive to establish an agile responsive supply chain. At the same time, it should have priority to focus on development and integration of their core competencies to deal with cross-functional and cross-enterprise issues in supply chain. For the case organization, the agility level was found “very agile,” although it is below the “extremely agile.” Thus, a study was developed to understand the behaviour of the supply chain agility and assess/evaluate it to support decision makers in order to develop a strategic solution for different organizational barriers.
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Richey, R. Glenn, Chadwick B. Hilton, Michael G. Harvey, Lauren Skinner Beitelspacher, Mert Tokman, and Miriam Moeller. "Aligning operant resources for global performance: An assessment of supply chain human resource management." Journal of Management & Organization 17, no. 3 (May 2011): 364–82. http://dx.doi.org/10.1017/s1833367200001528.

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AbstractPurpose:The intent of the paper is to develop the service marketing logic (S-D logic) strategy that is centered on service as a means to differentiate global strategy from those of competitors. The context of the paper is to examine S-D logic in global supply chains. Design/Methodology:The paper is a theory driven conceptual piece.Findings:Globalization emphasizes complex interconnected systems, while S-D logic emphasizes the importance of leveraging operant resources in order to achieve sustainable competitive advantage. Both S-D logic and globalization apply in the supply chain context. This paper focuses on the global supply chain and the importance of leveraging service based operant resources. Because the focus of management has shifted from a domestic to a more complex, three-dimensional network, it is critical for practitioners and researchers to understand how to optimize service based operant resources in the global marketplace.Practical Implications:Because the focus of management has shifted from a domestic to a more complex, three-dimensional global network, it is critical for practitioners and researchers to understand how to optimize service based operant resources in the global marketplace. We suggest that in this dynamic marketplace, both globalization and S-D logic are required to fully explain supply chain performance. Specifically, we suggest that managers develop a global ‘supply-chain management’ perspective allowing for the key operant resource – human capital – to create synergistic partner relationships and customer experiences resulting in superior performance.Originality/Value:This is one of the first (if not the first) paper that examines S-D logic in a global context. This move forward from the domestic orientation of many/most of the recent literature provides the foundation for future global research into the S-D logic.
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Richey, R. Glenn, Chadwick B. Hilton, Michael G. Harvey, Lauren Skinner Beitelspacher, Mert Tokman, and Miriam Moeller. "Aligning operant resources for global performance: An assessment of supply chain human resource management." Journal of Management & Organization 17, no. 3 (May 2011): 364–82. http://dx.doi.org/10.5172/jmo.2011.17.3.364.

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AbstractPurpose:The intent of the paper is to develop the service marketing logic (S-D logic) strategy that is centered on service as a means to differentiate global strategy from those of competitors. The context of the paper is to examine S-D logic in global supply chains. Design/Methodology:The paper is a theory driven conceptual piece.Findings:Globalization emphasizes complex interconnected systems, while S-D logic emphasizes the importance of leveraging operant resources in order to achieve sustainable competitive advantage. Both S-D logic and globalization apply in the supply chain context. This paper focuses on the global supply chain and the importance of leveraging service based operant resources. Because the focus of management has shifted from a domestic to a more complex, three-dimensional network, it is critical for practitioners and researchers to understand how to optimize service based operant resources in the global marketplace.Practical Implications:Because the focus of management has shifted from a domestic to a more complex, three-dimensional global network, it is critical for practitioners and researchers to understand how to optimize service based operant resources in the global marketplace. We suggest that in this dynamic marketplace, both globalization and S-D logic are required to fully explain supply chain performance. Specifically, we suggest that managers develop a global ‘supply-chain management’ perspective allowing for the key operant resource – human capital – to create synergistic partner relationships and customer experiences resulting in superior performance.Originality/Value:This is one of the first (if not the first) paper that examines S-D logic in a global context. This move forward from the domestic orientation of many/most of the recent literature provides the foundation for future global research into the S-D logic.
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Kamal, Esraa, Amal F. Abdel Abdel-Gawad, and Shereen Zaki. "Neutrosophic-based Machine Learning Techniques in the Context of Supply Chain Management: A Survey." International Journal of Neutrosophic Science 21, no. 2 (2023): 142–60. http://dx.doi.org/10.54216/ijns.210213.

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Supply Chain Management (SCM) plays a critical role in the success of any business organization. Individuals involved in business activities often have to make decisions regarding different aspects of the supply chain, including planning, procurement, production, inventory management, transportation, distribution, and customer relationship management. The combination of neutrosophic logic and machine learning has gained significant attention in the field of SCM as a means to tackle uncertainties and improve decision-making. This paper highlights the potential benefits and applications of integrating neutrosophic reasoning and machine learning in SCM. Neutrosophic reasoning provides a framework for handling imprecise and uncertain information, while machine learning techniques offer powerful tools for data analysis, pattern recognition, and predictive modeling. By leveraging machine learning algorithms within the context of neutrosophic logic, SCM practitioners can enhance demand forecasting accuracy, optimize inventory management, improve transportation and routing decisions, and strengthen supply chain collaboration. The integration of neutrosophic logic and machine learning enables the handling of complex supply chain data, accommodates dynamic and uncertain environments, and supports proactive decision-making. Furthermore, the combination of these approaches can contribute to improved supply chain resilience, sustainability, and customer satisfaction. This paper applied the neutrosophic AHP method as a feature section to select the highest importance criteria as an input to machine learning. Then we applied two machine learning models named random forest and decision. The results show the random forest has the highest accuracy followed by a decision tree.
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Dissertations / Theses on the topic "Dynamic supply chain-Fuzzy logic"

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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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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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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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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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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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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, and 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, and 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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Books on the topic "Dynamic supply chain-Fuzzy logic"

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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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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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Book chapters on the topic "Dynamic supply chain-Fuzzy logic"

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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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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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Taniguchi, Ken, and Takao Terano. "Analyzing Dynamics of a Supply Chain Using Logic-Based Genetic Programming." In Lecture Notes in Computer Science, 464–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30132-5_66.

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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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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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Mutingi, Michael, and Charles Mbohwa. "Fuzzy System Dynamics." In Handbook of Research on Novel Soft Computing Intelligent Algorithms, 234–57. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4450-2.ch008.

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In the presence of fuzzy or linguistic and dynamic variables, dynamic modeling of real-world systems is a challenge to many decision makers. In such environments with fuzzy time-dependent variables, the right decisions and the impacts of possible actions are not precisely known. The presence of linguistic variables in a dynamic environment is a serious cause for concern to most practicing decision makers. For instance, in a demand-driven supply chain, demand information is inherently imprecise, leading to unwanted fluctuations throughout the supply chain. This chapter integrates, from a systems perspective, fuzzy logic and system dynamics paradigms to model a typical supply chain in a fuzzy environment. Based on a set of performance indices defined to evaluate supply chain behavior, results from comparative simulation experiments show the utility of the fuzzy system dynamics paradigm: (1) the approach provides a real-world picture of a fuzzy dynamic supply chain, (2) expert opinion can be captured into a dynamic simulation model with ease, (3) the fuzzy dynamic policies yield better supply chain performance, and (4) “what-if analysis” show the robustness of the fuzzy dynamic policies even in turbulent demand situations. Managerial insights and practical evaluations are provided.
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Tsai, Chwei-Shyong, Chien-Wen Chen, and Ching-Torng Li. "Align Agile Drivers, Capabilities and Providers to Achieve Agility: a Fuzzy-Logic QFD Approach." In Supply Chain. I-Tech Education and Publishing, 2008. http://dx.doi.org/10.5772/5344.

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Sharma, Yogesh Kumar, Sachin Kumar Mangla, and Pravin P. Patil. "Risks in Sustainable Food Supply Chain Management." In Advanced Fuzzy Logic Approaches in Engineering Science, 117–31. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5709-8.ch006.

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Sustainability is the important factor in the food sector, due to the large demand worldwide. Sustainability in food sector is not accepted globally as per the growing demand of food. Because of business risks, uncertainty, government policy, technology, innovation, etc. So, in this article we will discuss about the risks in adoption of sustainable food supply chain management (SFSCM) and ranking the risks by using Fuzzy Analytic Hierarchy Process (FAHP) technique. We acknowledged various SFSCM related risks and suitable correlation among the identified risks. Ranking the risks by using Fuzzy AHP approach based on their priorities. Nine risks were identified from literature survey and expert's views. Risks like safety, technology, and legal and monetary of food, etc., are barriers in successful adoption of sustainability in the food sector. The risks related some terms which were found according to Indian culture and lifestyle of Indians.
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Tang, Ling-Lang, Yei-Chun Kuo, and E. Stanley Lee. "A Multi-Objective Model for Taiwan Notebook Computer Distribution Problem." In Global Integrated Supply Chain Systems, 171–82. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-611-2.ch011.

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A multi-objective model of global distribution for the Taiwan notebook computer industry is proposed. The proposed two-stage approach involves a mixed integer linear programming model and the fuzzy analytic hierarchy process (AHP) approach. The analytic method provides quantitative assessment of the relationships between manufacturers and customer service. To show the effectiveness of the proposed approach, a Taiwan notebook computer model is solved. The results of this multi-objective model show some dynamic characteristics among various performance criteria of the outbound logistics.
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Jain, Vipul. "Modeling Buyer-Supplier Relationships in Dynamic Supply Chains." In Global Implications of Modern Enterprise Information Systems, 288–316. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-146-9.ch015.

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The key part of dynamic supply chain management is negotiating with suppliers and with buyers. Designing efficient business processes throughout the supply chain, and controlling their speed, timing, and interaction with one another, is decisive factors in a competitive and dynamic environment. Coordination is essential for successful supply chain management. Therefore, in this chapter, a novel Negotiation-to-Coordinate (N2C) mechanism is proposed to explore the interactive nature of the buyersupplier relationships for dynamic environments. The proposed N2C mechanism uses prioritized fuzzy constraints to represent trade-offs among the different probable values associated with the negotiation issues and to signify how agents should make concessions. Supervisor agent in the N2C mechanism takes into account the conflicts of interest of buyer’s agent and supplier’s agent and the proposal and plan generated by supervisor agents helps in resolving the true and potential conflicts of interests for buyer’s agent and supplier’s agent. The proposed computational framework based on fuzzy constraints is suited for capturing the dynamics by modeling trade-offs between different attributes of a product leading to a fair and equitable deal for both suppliers and buyers. The proposed approach models the intricacies in the face of the imprecise, uncertain and conflicting nature of objectives. The efficacy of the proposed approach is demonstrated through an illustrative example.
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Conference papers on the topic "Dynamic supply chain-Fuzzy logic"

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Tiwari, Kunal N., and Parameswaran Krishnankutty. "Fuzzy Logic Controller for Dynamic Positioning of an Offshore Supply Vessel." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61394.

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The purpose of this paper is to examine the performance of fuzzy controller applied to a dynamic positioning system of ship by numerical simulation. By definition, dynamic positioning system is computer controlled system which uses the active thrusters to automatically maintain the position and heading of the ship. The proposed control scheme consist of low pass filter in cascade with three proportional derivative type fuzzy controller with Mamdani type inference scheme. Feed-forward compensation decoupling scheme is employed to reduce coupling between sway and yaw. Robustness of control scheme is assessed for Cybership II in presence of wave disturbances.
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Pourshaghaghi, Hamid Reza, and Jose Pineda de Gyvez. "Dynamic voltage scaling based on supply current tracking using fuzzy Logic controller." In 2009 16th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icecs.2009.5410775.

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Anis, Yasser H., and Saad A. Kassem. "Performance of Constant Power Operated Swash Plate Axial Piston Pumps With Fuzzy Logic Controllers." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65351.

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In this paper, simulation of the step response of electro hydromechanically controlled constant power regulated swash plate axial piston pumps with conical cylinder blocks has been carried out when a new fuzzy logic controller (FLC) is proposed to replace the PD controller in current use. The theoretically deduced performance shows that the proposed FLC renders better performance when compared to both the PD controller and a previously proposed FLC. The effects of the control valve supply pressure, valve port width, and control piston leakage coefficient on the pump step response has been investigated. Results show that the proposed FLC renders better dynamic performance, when compared with the previously proposed FLC and the PD controller, at all practical values of the investigated three parameters.
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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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Wang, Junyan. "Dynamic production game with fuzzy demand in a supply chain." In 2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM). IEEE, 2010. http://dx.doi.org/10.1109/iclsim.2010.5461259.

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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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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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