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آرشیو :
نسخه زمستان 1399
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نوع مقاله :
پژوهشی
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کد پذیرش :
11310
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موضوع :
موضوعی تعریف نشده!
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نویسنده/گان :
لیلا کشور دوست ماسوله، فاطمه کشاورز گیلده
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کلید واژه :
تحلیل پوششی داده ها، کارایی، موازنه خط مونتاژ
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Title :
Choosing the most preferred solution to assembly line balancing problems using DEA
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Abstract :
Each solution to the assembly line balancing (ALB) problem can be considered as a decision-making unit. Since ALB has a significant impact on the efficiency of the assembly line and reduces cost and time, choosing the preferred solution for ALB is an important issue. In the previous studies, the most important solution was not considered and a set of solutions was introduced to the manager. This study provides an algorithm for identifying the most preferred solution. The algorithm uses the DEA super-efficiency model and a new definition for the weight. The proposed algorithm is described by two examples of literature that the necessity of using this algorithm is to find a unique solution. The situations analyzed are as follows:) the rank of any heuristic technique may be different in solving ALB problems. ) The solution to an ALB problem may vary in evaluations. The algorithm specifies the solutions from top to bottom to assist the assembly manager in deciding to respond to the company's needs.
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key words :
Assembly line balancing, Data envelopment analysis, Efficiency
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مراجع :
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- صفحات : 11-27
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