Literatura académica sobre el tema "Supply chain management-Fuzzy logic"
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Artículos de revistas sobre el tema "Supply chain management-Fuzzy logic"
JADHAV, D. S. y V. H. BAJAJ. "Supply chain management under fuzzy logic approach". INTERNATIONAL JOURNAL OF COMMERCE AND BUSINESS MANAGEMENT 7, n.º 2 (15 de octubre de 2014): 372–76. http://dx.doi.org/10.15740/has/ijcbm/7.2/372-376.
Texto completoWang, Juite y Yun-Feng Shu. "Fuzzy decision modeling for supply chain management". Fuzzy Sets and Systems 150, n.º 1 (febrero de 2005): 107–27. http://dx.doi.org/10.1016/j.fss.2004.07.005.
Texto completoGanga, Gilberto Miller Devós y Luiz Cesar Ribeiro Carpinetti. "A fuzzy logic approach to supply chain performance management". International Journal of Production Economics 134, n.º 1 (noviembre de 2011): 177–87. http://dx.doi.org/10.1016/j.ijpe.2011.06.011.
Texto completoGanguly, Kunal K., R. K. Padhy y Siddharth Shankar Rai. "Managing the humanitarian supply chain: a fuzzy logic approach". International Journal of Disaster Resilience in the Built Environment 8, n.º 5 (13 de noviembre de 2017): 521–36. http://dx.doi.org/10.1108/ijdrbe-07-2015-0038.
Texto completoSayed, Maysara, Linda C. Hendry y Marta Zorzini Bell. "Institutional complexity and sustainable supply chain management practices". Supply Chain Management: An International Journal 22, n.º 6 (11 de septiembre de 2017): 542–63. http://dx.doi.org/10.1108/scm-10-2016-0365.
Texto completoBarcellos de Paula, Luciano, Anna María Gil-Lafuente y Aline de Castro Rezende. "Sustainable Management of the Supply Chain Based on Fuzzy Logic". Cybernetics and Systems 52, n.º 7 (19 de abril de 2021): 579–600. http://dx.doi.org/10.1080/01969722.2021.1910763.
Texto completoButusov, O. B. y M. E. Dubinin. "Decision support system for supplier selection in supply chain". Izvestiya MGTU MAMI 7, n.º 1-4 (10 de julio de 2013): 268–71. http://dx.doi.org/10.17816/2074-0530-67927.
Texto completo., Sunil, Dharmanshu Kumar, Udit Mehta y Rakesh Kumar. "Identification of the Barriers of Reverse Supply Chain". International Journal of Advance Research and Innovation 8, n.º 2 (2020): 144–62. http://dx.doi.org/10.51976/ijari.822025.
Texto completoAgami, Nedaa, Mohamed Saleh y Mohamed Rasmy. "An Innovative Fuzzy Logic Based Approach for Supply Chain Performance Management". IEEE Systems Journal 8, n.º 2 (junio de 2014): 336–42. http://dx.doi.org/10.1109/jsyst.2012.2219913.
Texto completoVo, Thanh Van y 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, n.º 4 (31 de diciembre de 2014): 69–82. http://dx.doi.org/10.32508/stdj.v17i4.1545.
Texto completoTesis sobre el tema "Supply chain management-Fuzzy logic"
Thomas, Douglas J. "Committed delivery strategies for supply chain management". Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/24930.
Texto completoManataki, Areti. "Analysing supply chain operation dynamics through logic-based modelling and simulation". Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7687.
Texto completoHammadi, Lamia. "Custom supply chain engineering : modeling and risk management : application to the customs". Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR23.
Texto completoThe 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
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.
Texto completoConselho 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
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.
Texto completoAmirbagheri, 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.
Texto completoTruong, 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.
Texto completoRandall, 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/.
Texto completoDobrzykowski, 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.
Texto completoNg, Irene, Ralph Badinelli, Francesco Polese, Nauta Primiano Di, Helge Löbler y Sue Halliday. "S-D logic research directions and opportunities". Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-218383.
Texto completoLibros sobre el tema "Supply chain management-Fuzzy logic"
Martin, Christopher. Logistics and supply chain management. Burr Ridge, Ill: Financial Times/Irwin Professional Pub., 1994.
Buscar texto completoMartin, Christopher. Logistics and supply chain management: Creating value-added networks. 3a ed. Harlow, England: Financial Times Prentice Hall, 2005.
Buscar texto completoLogistics and supply chain management: Creating value-adding networks. 3a ed. Harlow, England: Financial Times Prentice Hall, 2005.
Buscar texto completoLogistics and supply chain management: Strategies for reducing costs and improving services. London: Financial Times, 1992.
Buscar texto completoLogistics and supply chain management: Strategies for reducing cost and improving service. 2a ed. London: Financial Times/Pitman, 1998.
Buscar texto completoSupply Chain Management Under Fuzziness: Recent Developments and Techniques. Springer, 2014.
Buscar texto completoKahraman, Cengiz y Başar Öztayşi. Supply Chain Management under Fuzziness: Recent Developments and Techniques. Springer London, Limited, 2014.
Buscar texto completoKahraman, Cengiz y Başar Öztayşi. Supply Chain Management Under Fuzziness: Recent Developments and Techniques. Springer, 2016.
Buscar texto completoValue Determination Of Supply Chain Initiatives A Quantification Approach Based On Fuzzy Logic And System Dynamics. Gabler Verlag, 2010.
Buscar texto completoWessely, Philip. Value Determination of Supply Chain Initiatives: A Quantification Approach Based on Fuzzy Logic and System Dynamics. Westdeutscher Verlag GmbH, 2010.
Buscar texto completoCapítulos de libros sobre el tema "Supply chain management-Fuzzy logic"
Díaz-Curbelo, Alina, Ángel Manuel Gento Municio y Rafael Alejandro Espin-Andrade. "Fuzzy Logic-Based Approaches in Supply Chain Risk Management: A Review". En Computational Intelligence for Business Analytics, 79–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73819-8_5.
Texto completoNaderi, Mohammad Javad, Mir Saman Pishvaee y Seyed Ali Torabi. "Applications of Fuzzy Mathematical Programming Approaches in Supply Chain Planning Problems". En 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.
Texto completoGuijarro-Rodríguez, Alfonso A., Lorenzo J. Cevallos-Torres, Edison R. Valencia-Nuñez, Alexandra M. Wilches-Medina y Vicente A. Correa-Barrera. "Analysis of Transport Logistics Costs in Supply Chain Management by Applying Fuzzy Logic". En 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.
Texto completoKluska, Kamila y Patrycja Hoffa-Dąbrowska. "Logic for Management of Vehicles at Warehouse". En 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.
Texto completoDong, A. H., W. K. Wong, S. F. Chan y P. K. W. Yeung. "Developing an Apparel Supply Chain Simulation System with the Application of Fuzzy Logic". En Computational Textile, 185–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-70658-8_11.
Texto completoGrossmann, Ignacio E. "Advances in Logic-Based Optimization Approaches to Process Integration and Supply Chain Management". En Chemical Engineering, 299–322. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470025018.ch11.
Texto completoÖztayşi, Başar y Mine Işık. "Supplier Evaluation Using Fuzzy Clustering". En 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.
Texto completoSindi, Safaa y Michael Roe. "The Application of Fuzzy Delphi to Strategic Supply Chain Modelling". En Strategic Supply Chain Management, 131–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54843-2_6.
Texto completoAmindoust, Atefeh y Ali Saghafinia. "Supplier Evaluation Using Fuzzy Inference Systems". En 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.
Texto completoBozhenyuk, Alexandr y Evgeniya Gerasimenko. "Flows Finding in Networks in Fuzzy Conditions". En 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.
Texto completoActas de conferencias sobre el tema "Supply chain management-Fuzzy logic"
Pilevari, N., S. M. SeyedHosseini y J. Jassbi. "Fuzzy logic Supply Chain Agility Assessment methodology". En 2008 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2008. http://dx.doi.org/10.1109/ieem.2008.4738043.
Texto completoMostafa, Abdelrahman Ibrahim, Abdelrahman Mostafa Rashed, Yasmin Ashraf Alsherif, Yomna Nagah Enien, Menatalla Kaoud y Ahmed Mohib. "Supply Chain Risk Assessment Using Fuzzy Logic". En 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES). IEEE, 2021. http://dx.doi.org/10.1109/niles53778.2021.9600100.
Texto completoAlaoui, Mohamed El y Hussain Ben-Azza. "Aggregation of performance indicators for supply chain and fuzzy logic extensions applied to green supply chain". En 2017 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2017. http://dx.doi.org/10.1109/logistiqua.2017.7962870.
Texto completoSarir, Hicham y Benkacem Abderhmane. "Smart inventory control by using PID ACO controller and fuzzy logic controller". En 2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2022. http://dx.doi.org/10.1109/logistiqua55056.2022.9938044.
Texto completoAydın, Serhat y Cengiz Kahraman. "Order Fulfillment Performance Evaluation in Supply Chain Management Under Intuitionistic Fuzzy Environment". En 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.
Texto completoEttahiri, Fatima Ezzahra y Mina Elmaallam. "The impact of Fuzzy Logic on Knowledge Management in the context of Supply Chain". En the 2nd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3320326.3320395.
Texto completoSee, Tung-King, Edward M. Kasprzak, Tarunraj Singh y Kemper E. Lewis. "Modeling of Supply Chain Decision Logic Using PID Controllers". En ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57760.
Texto completoGuo, Wei y Ke Chen. "Strategy-Oriented Supply Chain Performance Management Based On Factor Logic Analysis". En 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.
Texto completoZhang, Zhen, Guangquan Zhang, Jie Lu y Chonghui Guo. "A fuzzy tri-level decision making algorithm and its application in supply chain". En 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.
Texto completoLi, Jizi, Chunling Liu y Peiling Guo. "Optimization on Logistics Capability in Cluster Supply Chain Based on Fuzzy Logic and AHP". En 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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