Abstract

Within a supply chain, purchasing plays a key role in achieving corporate competition. Hence, selecting the right suppliers is a vital component of these strategies. In practice, supplier selection is a multi-objective programming problem with vagueness and imprecision of the input data. In spite of the importance of the problem, the literature on this subject is relatively scarce. In this paper, a fuzzy multi-objective linear/nonlinear model is developed to overcome the vagueness of the information. At the same time, fuzzy weight and stochastic demand are applied to enable the decision-maker to select right supplier. The model is illustrated by a numerical example. Key words: Fuzzy set theory, supplier selection, fuzzy weight, a supply chain.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.