نوع مقاله : پژوهشی
تازه های تحقیق
عنوان مقاله English
نویسنده English
Decision-making around sustainable supplier selection is a key issue in supply chain management that has become an important goal for Sapco in recent years. The supplier selection problem is considered a decision-making problem due to the consideration of multiple criteria. As a result, some of the most widely used decision-making approaches known in this field can be used to solve these problems. In this regard, considering the importance of the problem, the present study attempts to present a decision support system based on data envelopment analysis and cumulative star utility by studying some decision-making techniques and examining study gaps. The new decision support system uses three steps to evaluate and select suppliers of the problem. In the first step, decision-making indicators and options were extracted by reviewing the research background, interviewing experts, and reviewing documents available in the organization. In the second step, the decision-making options were ranked and efficient units were identified by implementing the data envelopment analysis model. Finally, in the third step, by implementing the cumulative utility star method (UTASTAR), the utility of Sapco's efficient units was determined to select the most desirable supplier. According to the results obtained from the present study, Sapco's suppliers can be evaluated and their utility can be measured, and with a decision support system, the results can be presented with greater confidence for decision-making.
کلیدواژهها English
Copyright ©, Seyyed Akbar Gholamian
License
This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.
