Fuzzy Approach for Modeling Multiple Criteria in the Job Grouping Problem
Fuzzy Approach for Modeling Multiple Criteria in the Job Grouping Problem(1998)
摘要
In flexible manufacturing systems (FMS) jobs (or products) are grouped in order to improve productivity. Usually the goal is to minimize the set-up size or the number of set-up occasions, whereas other criteria are regarded less important and, consequently, omitted from the objective function. In this paper we discuss fuzzy multiple criteria optimization of the job grouping problem in printed circuit board (PCB) assembly. We review briefly the theoretical background of the problem in question and the applied modeling method. The importance of the criteria is prescribed by weighting, and poorly satisfied criterion can be compensated by other criteria. We also show how the criteria affect the solution. The presented method is implemented in our production scheduling system designed for electronic industry and is currently in everyday use.
更多查看译文
关键词
multiple criteria,applied modeling method,modeling multiple criteria,electronic industry,flexible manufacturing system,group technology,objective function,printed circuit boards,set-up occasion,everyday use,fuzzy scheduling,fuzzy approach,job grouping problem,production planning,printed circuit board,set-up size,production scheduling system,job grouping,fuzzy multiple criteria optimization,system design,production scheduling,satisfiability
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络