A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
An effective supplier selection method for constructing a competitive supply-relationship
Expert Systems with Applications: An International Journal
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With the growing maturation of the economical globalization and the fast progress of the IT industry, both the development of the global market and intellectual economy has overrun the national broad lines. However, the subsequent competition has also becoming fiercer and fiercer. Many enterprises have made more closely joint development with their partners, and built up "supply chain" with their partners to further expand supply-and-demand network. In the whole chain even the whole network Suppliers are upstream and key organizations of this chain and the net, selection of suppliers is the key for whole chain, and it plays important role for efficient operation of whole chain. Although many specialists have done research on multi-supplier selection and performance measurement system, it is still one of the most difficult problems for most manufacturing, but many subjective and objective issues exist during actual operation of supplier selection. In this paper, the improved genetic ant colony algorithm is used for research about selection of multi-supplier based on various relevant literatures about selection of suppliers at home and abroad. Via analysis for simulated examples, it is proven that this method is effective and feasible, and provides referential model and algorithm for selection of various types in supply chain.