Fallahpour, Alireza, Kazemi, Nima, Molani, Mohammad, Nayyeri, Sina, Ehsani, Mojtaba. (1397). An Intelligence-Based Model for Supplier Selection Integrating Data Envelopment Analysis and Support Vector Machine. , 11(2), 209-241. doi: 10.22059/ijms.2018.237965.672750
Alireza Fallahpour; Nima Kazemi; Mohammad Molani; Sina Nayyeri; Mojtaba Ehsani. "An Intelligence-Based Model for Supplier Selection Integrating Data Envelopment Analysis and Support Vector Machine". , 11, 2, 1397, 209-241. doi: 10.22059/ijms.2018.237965.672750
Fallahpour, Alireza, Kazemi, Nima, Molani, Mohammad, Nayyeri, Sina, Ehsani, Mojtaba. (1397). 'An Intelligence-Based Model for Supplier Selection Integrating Data Envelopment Analysis and Support Vector Machine', , 11(2), pp. 209-241. doi: 10.22059/ijms.2018.237965.672750
Fallahpour, Alireza, Kazemi, Nima, Molani, Mohammad, Nayyeri, Sina, Ehsani, Mojtaba. An Intelligence-Based Model for Supplier Selection Integrating Data Envelopment Analysis and Support Vector Machine. , 1397; 11(2): 209-241. doi: 10.22059/ijms.2018.237965.672750

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

Interdisciplinary Journal of Management Studies
مقاله 1، دوره 11، شماره 2، تابستان 2018، صفحه 209-241    اصل مقاله (1.97 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/ijms.2018.237965.672750
نویسندگان
Alireza Fallahpour1؛ Nima Kazemi* 2؛ Mohammad Molani3؛ Sina Nayyeri3؛ Mojtaba Ehsani4
1Department of Management, Farvardin Institute of Higher Education, Qaemshahr, Mazandaran, Iran
2Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
3Innovation and Management Research Center, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran
4Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
چکیده
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.
کلیدواژه‌ها
Supplier Selection؛ Support vector Machine؛ Data Envelopment Analysis؛ supplier efficiency؛ Artificial Intelligence
مراجع
آمار
تعداد مشاهده مقاله: 2,759
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