INFORMATION AXIOM BASED EVALUATION APPROACH TO FACILITY LAYOUT PROBLEM  

基于信息公理的车间布局问题评价方法(英文)

作　　者：王晓勇[1,2] 唐敦兵[1] 楼佩煌[1] 

机构地区：[1]南京航空航天大学机电学院 [2]南京工业职业技术学院机械系

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2009年第3期170-177,共8页南京航空航天大学学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(50505017,50775111);the Qing Lan Project of China~~

摘　　要：The facility layout problem belongs to typical multiple-attribute decision-making（MADM） problems. To make the information axiom fit to MADM problems, the original computation method for the information content is improved by increasing the satisfaction degree item. Attribute values are divided into precise type, uncertainty type and fuzzy type. For benefit, cost, fixation, and interval type attributes, the computation methods for the information content on the three types of attribute values are presented. The improved information content can reflect the system success probability and the decision-maker satisfaction degree simultaneously and evaluate the MADM problem including multiple type attribute values. Finally, as a case study, the facility layout alternatives of a welding assembly workshop are evaluated. The result verifies the validity and the feasibility of the improved information axiom on the MADM problems.车间布局评价问题属于典型多属性决策问题。为了使信息公理更适合于解决多属性决策问题,通过增加满意度项改进了原有的信息量计算方法。属性值被划分为精确型、不确定型和模糊型,同时针对效益性、成本性、定值性和区间性属性给出了这三种数值类型的信息量的计算办法。改进后的信息量同时反映系统的成功概率以及决策者满意程度,并能够对包含多种数值类型的多属性决策问题进行评价。最后,作为实例,对焊接装配车间的布局方案进行了评价,结果验证了所改进的信息公理对于解决多属性决策问题的可行性和有效性。

关 键 词：plant layout decision making information axiom multiple-attribute decision-making（MADM） 

分 类 号：TH181[机械工程—机械制造及自动化] C934[经济管理—管理学]