A combined fuzzy AHP-goal programming approach to assembly-line selection

摘要: In mass production, assembly-line balancing (ALB) problem has been a critical and repetitive issue for companies long time. On the other hand, equipment selection stations also another important at design stage of an system. this paper, both problems are handled simultaneously. Therefore first, goal programming (GP) method, well-suited technique is used to develop preemptive formulation joint problems, when nature consists several conflicting objectives, some mathematical constraints on solutions. Second, AHP method based fuzzy scales which incorporated with GP due fact that it takes qualitative quantitative judgments decision-maker(s) into consideration rank alternatives by weight. The as one most commonly multiple-criteria decision making (MCDM) methods effectively more than decade in academic research practice, vagueness uncertainty crisp pairwise comparison conventional seems insufficient imprecise capture right decision-maker(s). short, study, combined AHP-GP approach proposed evaluating selection. An integer constructed, uses scores alternatives, employs them goals. Then, model solved find out ultimate alternative terms minimized cost maximized preference measures illustrated sample case study.