Similarity-Based Experts Weighting of CBR-Based Multi-experts System in Partner Selection

摘要

With the development of supply chain collaboration in agile manufacturing (AM), outsourcing has become a focus, in which partner selection is an important problem. Outsourcing decision is often related with expertise. The decision of partner selection needs to take opinions of multi-experts from various departments of enterprise into consideration. Expert system (ES) is one of the main branches that focus on expertise, and case-based reasoning (CBR) is a methodology for problem solving in complex environments. In this research, a new approach of similarity-based experts weighting in CBR-based multi-experts system (MES) was proposed to integrate expertise in outsourcing of AM. Foundational issues of expert weighting in CBR-based MES, including the R~6 model, assumption of delaminating structure of case and similarity-based experts weighting, were firstly discussed. Based on the R6 model and assumptions, experts weighting mechanism in CBR-based MES was then built up, including weighting founded on consensus-based similarity and that founded on case-based similarity. Finally, the application of multi-experts weighting approach in supplier selection carried out.