دانلود رایگان ترجمه مقاله یک روش DEA برای انتخاب تامین کننده با AHP و ارزیابی ریسک – IEEE 2016
دانلود رایگان مقاله انگلیسی یک رویکرد DEA (تحلیل پوششی داده ها) برای انتخاب تامین کننده با فرآیند تحلیل سلسله مراتبی و ملاحظات مربوط به ریسک به همراه ترجمه فارسی
عنوان فارسی مقاله | یک رویکرد DEA (تحلیل پوششی داده ها) برای انتخاب تامین کننده با فرآیند تحلیل سلسله مراتبی و ملاحظات مربوط به ریسک |
عنوان انگلیسی مقاله | A DEA approach for Supplier Selection with AHP and Risk Consideration |
رشته های مرتبط | مهندسی صنایع، لجستیک و زنجیره تامین، برنامه ریزی و تحلیل سیستم ها، لجستیک و زنجیره تامین |
کلمات کلیدی | تصمیم گیری چند معیاره، AHP، تحلیل پوششی داده ها، ملاحظات ریسک، انتخاب تامین کننده |
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کیفیت ترجمه | کیفیت ترجمه این مقاله متوسط میباشد |
نشریه | IEEE |
مجله | کنفرانس بین المللی کلان داده ها – International Conference on Big Data |
سال انتشار | ۲۰۱۶ |
کد محصول | F729 |
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جستجوی ترجمه مقالات | جستجوی ترجمه مقالات مهندسی صنایع |
فهرست مقاله: چکیده |
بخشی از ترجمه فارسی مقاله: ۱- مقدمه |
بخشی از مقاله انگلیسی: I. INTRODUCTION The supplier selection problem is a common issue that numerous companies have faced for many years [1]. Choosing the right supplier can be a real headache – there are many criteria to consider and assessing them is no easy feat [1]. Supplier selection is no longer as simple as picking the suitable ones based on the prices they offer. Also, the decision maker may not be sure on how to choose the right criteria to assess the suppliers [2]. Furthermore, even if the decision maker does have the right criteria in mind, he or she may not know the right tools to assess these criteria and select the ideal supplier(s) [2]. Supplier selection is a process whereby the companies will have to first identify, then assess, and eventually contract with the suppliers [3]. Such process usually requires massive amount of a firm’s financial resources and is thus a critical process [3]. It involves a broad comparison of the different suppliers by using the same set of criteria and measures to evaluate their competencies [4]. Furthermore, in today’s highly competitive world it is not possible to produce low cost and high quality goods without the proper selection of suppliers [5]. As such, supplier selection is one of the most important components in supply chain management whereby the short and long term success of the companies will be heavily dependent on the right selection of its suppliers [4]. Thus, supplier selection plays an important role in ensuring the survival of the company [6]. Evaluating the supplier selection problem requires both quantitative and qualitative measures to provide a more holistic assessment of the suppliers [2]. Data Envelopment Analysis (DEA), a commonly used decision analysis method, is capable of measuring the efficiencies of the suppliers [7]. However, one downside of DEA is the requirement of data to be in quantitative form [4]. As such, DEA could not involve qualitative attributes in its analysis. On the other hand, Analytic Hierarchy Process (AHP) can be used to assign values (which are known as weights) to qualitative attributes [4]. This would turn qualitative attributes into quantifiable measures which can then be used in the DEA model. The integration of AHP and DEA would allow the decision maker to compare efficiency of the suppliers based on both quantitative and qualitative attributes. Thus, this paper proposes the use of an AHP-DEA approach to tackle the supplier selection problem. Besides focusing on the method to select the most appropriate supplier(s), we will also need to identify suitable attributes for us to evaluate the suppliers. On top of usual criteria such as quality and service used for supplier evaluation, this paper also proposes the inclusion of risks, which could stream from potential supply disruptions, as a criterion to evaluate the suppliers. As supply chains are getting more and more complex these days, the issue of risk has always been a main concern of supply chain managers [8] [9]. Thus, risks should also play a role in the evaluation of suppliers so that the decision makers can account for supply risks that could potentially disrupt their operations. This paper proposes 6 qualitative and 3 quantitative attributes as the criteria for the Supplier Selection. AHP is used to quantify the qualitative attributes. The AHP weights assigned to the qualitative attributes are then used together with the quantitative attributes for the DEA model. In addition, instead of using the basic DEA model, this paper proposes the use of super-efficiency DEA model as it could help to assign scores which could distinguish the suppliers further. In the next section, a brief literature review will summarize relevant studies to the proposed AHP-DEA approach in this paper. In the 3rd section, the AHP-DEA approach, together with the proposed qualitative and quantitative attributes, will be described in details. An illustrative case will be shown in the following section to provide the reader of a clearer picture of how the approach works. There will be a discussion on the results and the limitations of the approach in the 5th section. Last but not least, a conclusion was given to summarize the content of this paper. |