The Multi-Objective Approach for Supply Chain Modeling– An Example of Supplier Selection
In recent years, supply chain management (SCM) has been touted as one of the major strategies of improving organizational performance and generating a competitive advantage. Many companies are discovering that effective supply chain management is the next step they need to take in order to increase profit and market share. Design of the chain should be able to integrate the various elements of the chain and should strive for the optimization of the chain rather than the entities or group of entities. A growing number of firms have begun to realize the strategic importance of planning, controlling, and designing a supply chain as a whole. In an effort to help firms capture the spirit of integration and coordination across the supply chain and to subsequently make better supply chain decisions, synthesize of past supply chain modeling efforts and a novel approach to modeling supply chain are required. This paper develops the multi-objective label correcting algorithm (MLC) to solve supply chain modeling problems. The proposed approach extends label correcting algorithm to apply to multi-objective problems so as to make a tradeoff between different criteria at the same time.
Supply Chain Modeling Multi-Objective Label Correcting Algorithm Supplier Selection.
Wen-Yau Liang
Department of Information Management,National Changhua University of Education, Taiwan
国际会议
香港·广州
英文
249-252
2010-07-25（万方平台首次上网日期，不代表论文的发表时间）