LARGE-SCALE 0-1 FUZZY GOAL PROGRAMMING AND ITS APPLICATION TO RELIABILITY OPTIMIZATION PROBLEM

Goal Programming (GP) is one of the most powerful Multiple Objective D ecision Making (MODM) methods for Industrial Engineering. In practical MODM problems, many GP models involve a large number of 0-1 decision variables and special structures in the system constraints. In this pa per, an efficient algorithm for solving large-scale 0-1 GP problem is proposed, introducing the fuzziness due to judgement of goal accomplis hments, with the generalized upper bound structure. Also, the optimiza tion problem of system reliability with several failure modes is demon strated by using the proposed algorithm. Finally, the effectiveness of the algorithm is illustrated.