Nowadays, many manufacturing companies have decided to use other\ncompanies� competencies and outsource part of their manufacturing\nprocesses and business to suppliers globally in order to reduce costs, improve\nquality of products, explore or expand new markets, and offer better services\nto customers, etc. The decisions have rendered manufacturing organizations\nwith new challenges. Organizations need to evaluate their suppliers'\nperformance, and take account of their weakness and strength in order to win\nand survive in highly competitive global marketplaces. Hence, suppliers\nevaluation and selection are taken as an important strategy for manufactring\nenterprises. This paper aims to provide a comprehensive and critical review\non suppliers selection and the formulation of different criteria for suppliers\nselection, the associated multi-objctive decision makings, selecion\nalgorithms, and their implementation and application perspectives.\nFurthermore, individual and integrated suppliers selection approaches are\npresented, including Analytic hierarchy process (AHP), Analytic network\nprocess (ANP), and Mathematical programming (MP). Linear programming\n(LP), Integer programming (IP), Data envelopment analysis (DEA) and Goal\nprogramming (GP) are discussed with in-depth. The paper concludes with\nfurther discussion on the potential and application of suppliers selection\napproach for the broad manufacturing industry.
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