A review of artificial intelligence techniques for selection & evaluation

Author:

Ahmad Ijaz,Liu Yan,Javeed Danish,Shamshad Nadia,Sarwr Danish,Ahmad Shahab

Abstract

Abstract Today, supplier selection &evaluation has been an important issue of strategic planning for a long time. Various artificial intelligence (AI) methods have been applied in the methodology of supplier section & evaluation from different researchers. This paper provides a review of past various artificial intelligence methods (AI) from 2010 to 2018 in the area supplier selection & evaluation problems. The review report is based on the literature of fifty articles include six review papers. Our survey presents and tries to find out the most useful and prominent AI method recommendable for the future in the problem of supplier selection &evalution.

Publisher

IOP Publishing

Subject

General Medicine

Reference50 articles.

1. Supplier pre-selection for platform-based products: a multi-objective approach;Cao;International Journal of Production Research,2014

2. Supplier selection in a sustainable supply chain;Molamohamadi;Journal of Advanced Management Science,2013

3. Designing a collaborative supply-chain plan using the analytic hierarchy process and genetic algorithm with cycle-time estimation;Che;International Journal of Production Research,2012

4. Minimisation of supply chain cost with embedded risk using computational intelligence approaches;Kumar;International Journal of Production Research,2010

5. A modified Pareto genetic algorithm for multi-objective build-to-order supply chain planning with product assembly;Che;Advances in Engineering Software,2010

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