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Three Echelon Supply Chain Design with Supplier Evaluation
Bharatiya Vidya Bhavan’s Usha & Lakshmi Mittal Institute of Mangement, Copernicus Lane, K. G. Marg, New Delhi.
Department of Operational Research, Faculty of Mathematical Sciences, University of Delhi.
Department of Business and Economics, University of Southern Denmark, Odense.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
2014 (English)In: Proceedings of the Third International Conference on Soft Computing for Problem Solving: SocProS 2013 / [ed] Millie Pant; Kusum Deep; Atulya Nagar; Jagdish Chand Bansal, Berlin: Springer-Verlag GmbH , 2014, Vol. 2, p. 867-881Conference paper, Published paper (Refereed)
Abstract [en]

Effective supply chain management (SCM), which facilitates companies to react to changing demand by swiftly communicating those needs to their supplier, is at the root of successful manufacturing. Optimizing a supply chain (SC) performance is a key factor for success in long term SC relationships. Much information like price, delivery time percentage and acceptance percentage are discussed in the process. A factor as imprecise demand is added in the same process that fuzzifies coordination between buyer and supplier. The paper considers nondeterministic conditions in the environment of business, coordination in procurement and distribution in a supplier selection problem that was proposed and a fuzzy model with two objectives was defined. The proposed model is a “fuzzy bi-objective mixed integer nonlinear” problem. A “fuzzy solution and fuzzy goal programming method” is used to convert the model into crisp form and solved using differential evolution

Place, publisher, year, edition, pages
Berlin: Springer-Verlag GmbH , 2014. Vol. 2, p. 867-881
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 259
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-28475DOI: 10.1007/978-81-322-1768-8_74Scopus ID: 84922662389Local ID: 249e47e2-cacd-4d25-909f-89f4bbf79127ISBN: 978-81-322-1767-1 (print)ISBN: 978-81-322-1768-8 (electronic)OAI: oai:DiVA.org:ltu-28475DiVA, id: diva2:1001673
Conference
International Conference on Soft Computing for Problem Solving : 26/12/2013 - 28/12/2013
Note
Godkänd; 2014; 20140316 (diegal)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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  • apa
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