Three echelon supply chain design with supplier evaluation

Kanika Gandhi*, P. C. Jha, Kannan Govindan, M.E., PhD., , Diego Galar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

An effective supply chain management (SCM) facilitates companies to react to changing demand by swiftly communicating their needs to the supplier. Optimizing a supply chain (SC) performance is a key factor for success in long term SC relationships. Substantial information such as price, delivery time percentage and acceptance percentage are discussed in the process. Imprecise demand as one of the factors is added in the same process that fuzzifies coordination between buyer and supplier. The paper considers non-deterministic conditions in the environment of business, coordination in procurement and distribution in a supplier selection problem and a fuzzy model with two objectives is defined. The proposed model is a “fuzzy bi-objective mixed integer nonlinear” problem. To process the solution the fuzzy model is converted into crisp and further fuzzy goal programming approach is employed. The model is validated with the help of a real case problem.

Original languageEnglish
Title of host publicationProceedings of the Third International Conference on Soft Computing for Problem Solving : SocProS 2013
EditorsMillie Pant, Kusum Deep, Atulya Nagar, Jagdish Chand Bansal
Volume2
PublisherSpringer
Publication date2014
Pages867-881
ISBN (Print)978-81-322-1767-1
ISBN (Electronic)978-81-322-1768-8
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Soft Computing for Problem Solving - Roorkee, India
Duration: 26. Dec 201328. Dec 2013

Conference

Conference3rd International Conference on Soft Computing for Problem Solving
Country/TerritoryIndia
CityRoorkee
Period26/12/201328/12/2013
SeriesAdvances in Intelligent Systems and Computing
Volume259
ISSN2194-5357

Keywords

  • Fuzzy logics
  • Supplier selection
  • Supply chain coordination
  • Truckload and less than truckload

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