A fuzzy programming approach for vendor selection problem in a supply chain

Vendor selection problem (VSP) has been treated in this paper as a “fuzzy Multi-objective Integer Programming Vendor Selection Problem” (f-MIP_VSP) formulation that incorporates the three important goals: cost-minimization, quality-maximization and maximization of on-time-delivery-with the realistic...

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Vydáno v:International journal of production economics Ročník 101; číslo 2; s. 273 - 285
Hlavní autoři: Kumar, Manoj, Vrat, Prem, Shankar, Ravi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 01.06.2006
Elsevier
Elsevier Sequoia S.A
Edice:International Journal of Production Economics
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ISSN:0925-5273, 1873-7579
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Abstract Vendor selection problem (VSP) has been treated in this paper as a “fuzzy Multi-objective Integer Programming Vendor Selection Problem” (f-MIP_VSP) formulation that incorporates the three important goals: cost-minimization, quality-maximization and maximization of on-time-delivery-with the realistic constraints such as meeting the buyers’ demand, vendors’ capacity, vendors’ quota flexibility, etc. In the proposed model, various input parameters have been treated as vague with a linear membership function of fuzzy type. It is tested on a data set adopted from a case company. The approach provides a decision tool that facilitates the vendor selection and their quota allocation under different degrees of information vagueness in the decision parameters of a supply chain modeling.
AbstractList Vendor selection problem (VSP) has been treated in this paper as a "fuzzy Multi-objective Integer Programming Vendor Selection Problem" (f-MIP_VSP) formulation that incorporates the three important goals: cost-minimization, quality-maximization and maximization of on-time-delivery-with the realistic constraints such as meeting the buyers' demand, vendors' capacity, vendors' quota flexibility, etc. In the proposed model, various input parameters have been treated as vague with a linear membership function of fuzzy type. It is tested on a data set adopted from a case company. The approach provides a decision tool that facilitates the vendor selection and their quota allocation under different degrees of information vagueness in the decision parameters of a supply chain modeling. [PUBLICATION ABSTRACT]
Vendor selection problem (VSP) has been treated in this paper as a “fuzzy Multi-objective Integer Programming Vendor Selection Problem” (f-MIP_VSP) formulation that incorporates the three important goals: cost-minimization, quality-maximization and maximization of on-time-delivery-with the realistic constraints such as meeting the buyers’ demand, vendors’ capacity, vendors’ quota flexibility, etc. In the proposed model, various input parameters have been treated as vague with a linear membership function of fuzzy type. It is tested on a data set adopted from a case company. The approach provides a decision tool that facilitates the vendor selection and their quota allocation under different degrees of information vagueness in the decision parameters of a supply chain modeling.
Author Vrat, Prem
Shankar, Ravi
Kumar, Manoj
Author_xml – sequence: 1
  givenname: Manoj
  surname: Kumar
  fullname: Kumar, Manoj
  email: kumarm1968@rediffmail.com
  organization: Mechanical Engineering Department, Indian Institute of Technology Delhi, New Delhi 110016, India
– sequence: 2
  givenname: Prem
  surname: Vrat
  fullname: Vrat, Prem
  email: director@iitr.ernet.in
  organization: Indian Institute of Technology, Roorkee 247667, Uttaranchal, India
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  givenname: Ravi
  surname: Shankar
  fullname: Shankar, Ravi
  email: ravi1@dms.iitd.ernet.in, r.s@rediffmail.com
  organization: Department of Management Studies, Viswakarma Building, Indian Institute of Technology Delhi, New Delhi 110016, India
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Keywords Supply chain
Vendor selection problem
Fuzzy programming
Multiple criteria decision
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Snippet Vendor selection problem (VSP) has been treated in this paper as a “fuzzy Multi-objective Integer Programming Vendor Selection Problem” (f-MIP_VSP) formulation...
Vendor selection problem (VSP) has been treated in this paper as a "fuzzy Multi-objective Integer Programming Vendor Selection Problem" (f-MIP_VSP) formulation...
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StartPage 273
SubjectTerms Decision making
Fuzzy logic
Fuzzy programming
Integer programming
Mathematical models
Multiple criteria decision
Studies
Supply chain
Supply chains
Vendor selection problem
Title A fuzzy programming approach for vendor selection problem in a supply chain
URI https://dx.doi.org/10.1016/j.ijpe.2005.01.005
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