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

By Manoj Kumar, Prem Vrat, Ravi Shankar. Computers & industrial engineering, 2004

506 citations recorded by the source corpus.

A fuzzy goal programming approach is applied in this paper for solving the vendor selection problem with multiple objectives, in which some of the parameters are fuzzy in nature. A vendor selection problem has been formulated as a fuzzy mixed integer goal programming vendor selection problem that includes three primary goals: minimizing the net cost, minimizing the net rejections, and minimizing the net late deliveries subject to realistic constraints regarding buyer's demand, vendors capacity, vendors' quota flexibility, purchase value of items, budget allocation to individual vendor, etc. An illustration with a data set from a realistic situation is included to demonstrate the effectiveness of the proposed model. The proposed approach has the capability to handle realistic situations in a fuzzy environment and provides a better decision tool for the vendor selection decision in a supply chain.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/af96acc13c18b9eb9e535631d67bb5d7f8dd29e0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

  1. Zeynep Susuz
  2. Babak Javadi
  3. Ali Kokangül
  4. Mustafa Batuhan Ayhan

In Management Science and Operations Research

  1. Ravi Shankar
  2. Mustafa Batuhan Ayhan

In Strategy and Management

  1. Zeynep Susuz
  2. Ravi Shankar
  3. Ali Kokangül
  4. Mustafa Batuhan Ayhan

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