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    • Advances in Industrial Engineering
    • Volume 51, Issue 1
    • مشاهده مورد
    •   صفحهٔ اصلی
    • نشریات انگلیسی
    • Advances in Industrial Engineering
    • Volume 51, Issue 1
    • مشاهده مورد
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    A Decision Making Framework for Evaluating Suppliers of Automotive Parts Industry Based on Cognitive Map

    (ندگان)پدیدآور
    Jahangoshaye Rezaee, MustafaYoussefi, SamuelBaghery, MajidKakaei, Sarveh
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    نوع مدرک
    Text
    Research Paper
    زبان مدرک
    English
    نمایش کامل رکورد
    چکیده
    Evaluating the suppliers and selecting an appropriate set of them are one of the fundamental strategies to enhancing the product/service quality, and the reputation of the organization. Hence, identifying criteria for suppliers' evaluation, determining how important they are, and providing a framework for using them in evaluation process, play an important role in the success of an organization. As the evaluation criteria in the real world influence on each other, the actual weights of criteria in this study is achieved by considering both the relations among these criteria and expert's opinion. Thus, cognitive maps method is used to determine the weight of evaluation criteria with causal relationships between them in the automotive industry. Then, a framework for the evaluation and gradation of suppliers based on the weighted criteria is presented. This framework was implemented in one of the active company in automotive spare parts industry, according to the role of the automotive industry in GDP.
    کلید واژگان
    Automotive Parts Industry
    Cognitive Map
    Evaluation criteria
    Supplier Evaluation and Selection
    Financial Engineeing & Decision Sciences

    شماره نشریه
    1
    تاریخ نشر
    2017-04-01
    1396-01-12
    ناشر
    University of Tehran
    سازمان پدید آورنده
    Faculty of Industrial Engineering, Urmia University of Technology, Iran
    Faculty of Industrial Engineering, Urmia University of Technology, Iran
    Department of Industrial Management, Allameh Tabataba'i University, Iran
    Faculty of Industrial Engineering, Urmia University of Technology, Iran

    شاپا
    2423-6896
    2423-6888
    URI
    https://dx.doi.org/10.22059/jieng.2017.61894
    https://jieng.ut.ac.ir/article_61894.html
    https://iranjournals.nlai.ir/handle/123456789/257588

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