Statistical-Analysis-Based-Comparisons of Scheduling Strategies in An Industrial Context
This paper deals with the application of statistical tests to Multi-Criteria Decision Making problems in the context of scheduling nonpreemptable jobs. This study synthesizes the results of the application of our framework to a real-life, highly constrained, discrete-continuous problem. The purpose of this paper is to compare the solutions of five scheduling strategies so as to select the most adequate scheduling strategy when considering the decision-maker’s preferences and the economic context. The solutions are ranked via a lexicographical sort or a multicriteria analysis and validated by parametric and nonparametric statistical tests.
Decision making multicriteria optimization statistical analysis computer aided manufacturing simulation
O.ROUX V.DHAEVERS A.HANSET A.LAZRAQ
GPO department,Catholic University of Mons (FUCaM),151 Chaussée de Binche,B-7000 Mons,Belgium, ENIM,Rabat,Morocco
国际会议
北京
英文
2007-05-30(万方平台首次上网日期,不代表论文的发表时间)