دانلود مقاله ISI انگلیسی شماره 40618
عنوان فارسی مقاله

ارزیابی عملکرد زنجیره تامین با تحلیل پوششی داده ها و رویکرد کارت امتیازی متوازن

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
40618 2014 21 صفحه PDF سفارش دهید 13340 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Mathematical Modelling, Volume 38, Issues 21–22, 1 November 2014, Pages 5092–5112

کلمات کلیدی
مدیریت زنجیره تامین - کارت امتیازی متوازن (BSC) - تحلیل پوششی داده ها (DEA) - شبکه DEA
پیش نمایش مقاله
پیش نمایش مقاله ارزیابی عملکرد زنجیره تامین با تحلیل پوششی داده ها و رویکرد کارت امتیازی متوازن

چکیده انگلیسی

One of the most complicated decision making problems for managers is the evaluation of supply chain (SC) performance which involves various criteria. Though vast studies have been recorded on supply chain efficiency evaluation via balanced scorecard (BSC) approach, these studies do not focus on the relationships between the four perspectives of BSC approach. The present paper is an attempt focusing on these relationships, especially the returnable ones. To do so, at first, all relationships between the four perspectives of BSC were determined and then the DEMATEL approach was employed to obtain a network structure. This network structure was then used to create a network DEA model. Since it was not possible to calculate the efficiency evaluation score by BSC, the data envelopment analysis (DEA) model was used for such an evaluation. Moreover, after reviewing different tools to evaluate the performance of supply chain, a new approach, relying on network DEA with BSC approach, was generated. Finally, this model was applied in the Iranian food industry to evaluate its supply chains efficiency and the results proved the high efficiency of the model designed. The findings could be used in various evaluation processes in different industries.

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