کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5127961 1489064 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new integrated intuitionistic fuzzy group decision making approach for product development partner selection
ترجمه فارسی عنوان
یک تصمیم گیری جدید برای گروه تصمیم گیری فازی اتخاذ شده یکپارچه برای انتخاب شریک توسعه محصول
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


- This study proposes an integrated IF GDM approach to the partner selection problem.
- The partner selection criteria weights are determined by using IF AHP.
- The potential partner alternatives are evaluated by using IF TOPSIS.
- A case study from Turkey is provided to validate the proposed approach.

Globally, customers are getting increasingly demanding in terms of quality, price and performance of products and are asking for shorter product development periods with more predictable cycles. These market pressures drive firms to collaborate with possible partners in product development (PD) processes. Nevertheless, choosing the suitable partner for an effective PD is a challenging, complex decision. This study proposes a combined Intuitionistic Fuzzy (IF) Group Decision Making (GDM) model that consists of the Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) and Intuitionistic Fuzzy Technique for Order Preference by Similarity to Ideal Solution (IF-TOPSIS) methods for effectively evaluating PD partners. In order to obtain a more complete evaluation and more precise results, IF-AHP is used for determining criteria weights, whereas IF-TOPSIS methodology is conducted for ranking partner alternatives. This study contributes to partner selection and IF set literature by providing a combined framework based on IF-AHP and IF-TOPSIS with GDM methodology for the first time. To assess the validity of the proposed integrated IF GDM approach, a case study is also provided. This study contributes to literature as it provides a better insight into the theoretical ground of the PD partner selection problem. It also supports organizations which aim to improve their PD evaluation systems.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 102, December 2016, Pages 383-395
نویسندگان
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