Performance Evaluation Model for Manufacturing System Based on Approximate Reasoning
In this paper we present a hierarchical multiple attributes decision making model for manufacturing system based on approximate reasoning.This methodology is based on fuzzy logic theory.Given its hierarchical structure,the model is constituted from several blocks representing fuzzy subsystems with inputs as measurement indicators (attributes) and outputs as performance indicators.Decisions variables (inputs and outputs) are set out in linguistic form corresponding to experts judgment and highlight the decision maker subjectivity.The model contributes to assess the overall performance of the manufacturing system.It is notably evaluated looking through the performance of subsystems (human and material resources,flexibility,lead-time,quality,inventory cost,manpower cost and manufacturing overheads).The objective is to set up a decision making support.A simulation of scripts is presented to test the proposed model capability.
Manufacturing system performance evaluation decision making fuzzy logic approximate reasoning
Kamal Lakhdari Jean Lou Sculfort
Troyes Institute of TechnologyResearch Center in Sciences and Technologies of Information and Commun Troyes Institute of Technology Research Center in Sciences and Technologies of Information and Commu
国际会议
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）