Abstract




 
   

IJE TRANSACTIONS C: Aspects Vol. 28, No. 6 (June 2015) 913-921    Article in Press

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  A COMMON WEIGHT DATA ENVELOPMENT ANALYSIS APPROACH FOR MATERIAL SELECTION
 
S. A. Torabi and I. Shokr
 
( Received: February 04, 2015 – Accepted: June 11, 2015 )
 
 

Abstract    Material selection is one of the major problems in manufacturing environments since the improper selected material may lead to fail in the production processes and result in customer dissatisfaction and cost inefficiency. Every material has different properties which should be considered as major criteria during the material selection procedure. Selection criteria could be quantitative or qualitative. Quantifying the performance measures of qualitative criteria is an inevitable issue in the multi criteria decision making (MCDM) problems. In this paper, the common weight data envelopment analysis (CWDEA) model proposed by Hatefi et al. [27] is applied for material selection problem which accounts for both quantitative and qualitative criteria in an effective manner. However, through a numerical example borrowed from the literature, it is shown that the proposed method by Hatefi et al. [27] is not able to produce a full ranking vector our problem. Accordingly, the problem is resolved under different normalization methods and the resulting ranking vectors are then aggregated by the linear assignment method.

 

Keywords    Material selection, Data envelopment analysis (DEA), Multi-criteria decision making (MCDM)

 

چکیده    انتخاب مواد اولیه مناسب یکی از مسائل چالش برانگیز در محیط‌های تولیدی است که انتخاب نامناسب مواد اولیه می تواند باعث شکست در فرآیندهای تولیدی شود و تبعاتی همچون هزینه بر بودن تولید و نارضایتی مصرف کنندگان را به همراه خواهد داشت. هر یک از مواد اولیه خصوصیات مختلفی دارند که باید در هنگام انتخاب بهترین ماده اولیه مد نظر قرار گیرند. برخی از این معیارها کیفی و برخی دیگر کمی هستند. کمی سازی معیارهای کیفی در تکنیک های تصمیم‌گیری چند معیاره همواره از چالش‌های اصلی این حوزه بوده است. در این مقاله از روش تحلیل پوششی داده‌ها با اوزان مشترک (هاتفی و همکاران [23]) در مسئله انتخاب مواد اولیه مناسب استفاده شده است. همچنین یک مثال به عنوان نمونه حل شده است و نشان داده شده است که روش فوق قادر به ارائه رتبه بندی کامل نیست. برای غلبه بر این مشکل، مسئله با استفاده از روش‌های نرمال‌سازی مختلف توسط روش مذکور حل شده است و در انتها با استفاده از یک روش ادغام‌سازی مبتی بر برنامه‌ریزی خطی، رتبه بندی کامل بدست آمده است.

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