A case based reasoning approach on supplier selection in petroleum enterprises |
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| Authors: | Kai Zhao Xin Yu |
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| Affiliation: | 1. College of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing, China;2. Department of Management and Law of Daqing Oilfield Co. Ltd., Petrochina, Daqing, China;3. Department of Environmental Engineering, University of Science and Technology Beijing, Beijing, China;1. Kadir Has University, Department of Business Administration, Istanbul 34083, Turkey;2. Columbia University, IE&OR Department, School of Engineering and Applied Sciences Columbia University, 500 West 120th Street, Rm. 313, New York, NY 10027, United States;3. Columbia Business School, 409 Uris Hall, 3022 Broadway, New York, NY 10027, United States;1. Centro de Oceanografia, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal;2. Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal;1. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;2. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;1. Center for Industrial Production, Aalborg University, Aalborg, Denmark;2. Department of Planning, Aalborg University, Aalborg, Denmark |
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| Abstract: | Petroleum is an important strategic material which is connected with the vitals and safety of the national economy, and the supplier selections are related to the safety of petroleum production and supply. However, the traditional approaches for supplier selections are limited in subjective evaluation of weights, inaccurate assessing rules, and inefficient decision-making. Although most of the current methods are widely applied in corporation management, a more efficient approach needs to be proposed for supplier selection of oil enterprise.This paper summarizes the particular characteristics of the supply chain of Chinese petroleum enterprises, analyzes the limitations of the traditional methods of supplier selection, and brought forward the method based on case reasoning system (CBR) for petroleum enterprises. The method based on data mining techniques which solves three key problems of CBR, includes calculating the weights of the attributes with information entropy in case warehouse organizing process objectively, evaluating the similarities with k-prototype clustering between the original and target cases in case retrieving process exactly, and extracting the potential rules with back propagation neural networks from conclusions in maintenance and revising process efficiently. It demonstrates the advantages, practicability and validity of this method via case study finally. |
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