An Intelligence-Based Model for Supplier Selection Integrating Data Envelopment Analysis and Support Vector Machine

Document Type: Research Paper

Authors

1 Department of Management, Farvardin Institute of Higher Education, Qaemshahr, Mazandaran, Iran

2 Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

3 Innovation and Management Research Center, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran

4 Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran

Abstract

The importance of supplier selection is nowadays highlighted more than ever as companies have realized that efficient supplier selection can significantly improve the performance of their supply chain. In this paper, an integrated model that applies Data Envelopment Analysis (DEA) and Support Vector Machine (SVM) is developed to select efficient suppliers based on their predicted efficiency scores. In the first step, fuzzy linguistic variables are changed to crisp data as initial dataset for DEA. Actual efficiency scores are then calculated for each Decision Making Unit (DMU) using CCR-DEA model. Afterwards, suppliers’ performance-related data are used for training SVM-DEA model. A numerical example representing an actual case is provided to indicate the applicability of the model.

Keywords

Main Subjects


Article Title [Persian]

ارائه یک مدل هوشمند جهت انتخاب تامینکننده مناسب بر اساس ترکیب روشهای تحلیل پوششی دادهها و SVM

Authors [Persian]

  • علیرضا فلاح پور 1
  • نیما کاظمی 2
  • محمد مولانی 3
  • سینا نیری 3
  • مجتبی احسانی 4
1 دانشکده مدیریت، موسسه آموزش عالی فروردین، قائم شهر، ایران
2 دانشکده مهندسی مکانیک، دانشگاه مالایا، کوالالامپور، مالزی
3 دانشکده مهندسی صنایع، دانشگاه نوشیروانی، بابل، ایران
4 دانشکده مدیریت، موسسه آموزش عالی فروردین، قائم شهر، ایران
Abstract [Persian]

امروزه اهمیت انتخاب تامینکننده مناسب بیش از گذشته مورد تاکید میباشد زیرا سازمانها به خوبی به این مساله واقف هستند که انتخاب تامینکنندههای کارامد موجب بهبود در عملکرد زنجیرههای تامین است. در این مقاله، به منظورانتخاب تامینکننده مناسب، مدلی ترکیبی از تحلیل پوششی دادهها و ماشین بردار پشتیبانی بر اساس امتیاز پیشبینی کارایی تامینکنندگان، توسعه داده شدهاست. در مرحله اول، متغیرهای زبانی فازی به دادههای قطعی تبدیل شده که به عنوان دادههای اولیه برای مدل تحلیل پوششی دادهها مورد استفاده قرار گرفتهاست. سپس امتیازات واقعی برای هر واحد تصمیمگیری با استفاده از مدل سی سی آر محاسبه شدهاند. در مرحله بعد، دادههای مربوط به عملکرد تامینکننده برای آموزش مدل استفاده شد. در انتها، مثالی از کاربرد مدل در مسالهای واقعی ارائه گردید.

Keywords [Persian]

  • انتخاب تامین کننده
  • ماشین بردار پشتیبان
  • تحلیل پوششی دادهها
  • کارآمدی تامین کننده
  • هوش مصنوعی
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