:: Volume 2, Issue 2 (6-2012) ::
2012, 2(2): 0-0 Back to browse issues page
Using a multi-criteria decision making approach (ANP-TOPSIS) to evaluate suppliers in Iran’s auto industry
K. Shahroudi , H. Rouydel
Abstract:   (11954 Views)
Supplier selection is a multi-criteria problem which includes both tangible and intangible factors in these problems if suppliers have capacity or other different constraints two problems will exist: which suppliers are the best and how much should be purchased from each selected supplier? The objective of this paper is to present an integrated model and a supporting approach for effective supplier selection decisions and determined optimum order allocation. Therefore, an integrated approach of ANP- TOPSIS (Analytic Network Process and Technique for Order Preference by Similarity to Ideal Solution) is proposed in choosing the best suppliers and defined the optimum quantities order among selected suppliers by using a mathematical model (Multi-Objective Linear Programming). Hence, after library studies and interview with experts, managers and specialists in supply chain management filed, decision criterion was identified through brain storming contains of seven main criteria for suppliers selection process. Then in the second section for order allocation to every selected suppliers in first section we used a (MOLP) Multi-Objective Linear Programming model. Therefore objectives and subjective of suppliers and Automotive Company were identified in this section. Results show that applying a two phase ANP-TOPSIS methodology causes to some important advantages such as: Long-term relationship, consist quality, lower cost, special attention and etc. Keywords: Supplier Evaluation, TOPSIS, ANP, Order Allocation.
Full-Text [PDF 548 kb]   (8964 Downloads)    
Type of Study: Research | Subject: Special
Received: 2012/06/11 | Published: 2012/06/15

XML     Print

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 2, Issue 2 (6-2012) Back to browse issues page