The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint

Article history: Received June 25, 2015 Received in revised format: October 12, 2015 Accepted December 15, 2015 Available online December 17 2015 This paper presents a mathematical model to solve a multi-objective decision making supplier selection problem. The proposed problem considers three objective functions: the first objective function minimizes the cost of purchasing the products while the second objective function minimizes the due dates and finally the third objective function maximizes the customer satisfaction. The resulted problem is formulated as mixed integer programming and, therefore, we use invasive weed optimization technique to solve the resulted problem. The performance of the proposed model is compared with NSGA II based on different criteria such as mean ideal distance and quality matrix. The preliminary results indicate that the proposed model performs relatively well compared with alternative method. Growing Science Ltd. All rights reserved. 6 © 201

[1]  R. Tavakkoli-Moghaddam,et al.  SOLVING A NEW PRIORITY M/M/C QUEUE MODEL FOR A MULTI- MODE HUB COVERING LOCATION PROBLEM BY MULTI- OBJECTIVE PARALLEL SIMULATED ANNEALING , 2014 .

[2]  Seyed Hassan Ghodsypour,et al.  A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming , 1998 .

[3]  Thomas L. Saaty.  What is the analytic hierarchy process , 1988 .

[4]  M. D. Webber,et al.  Supply-chain management: logistics catches up with strategy , 1982 .

[5]  Beyza Ahlatçioglu Ozkok,et al.  A compensatory fuzzy approach to multi-objective linear supplier selection problem with multiple-item , 2011, Expert Syst. Appl..

[6]  C. Lucas,et al.  A novel numerical optimization algorithm inspired from weed colonization , 2006, Ecol. Informatics.

[7]  Srinivas Talluri,et al.  Production , Manufacturing and Logistics Vendor evaluation with performance variability : A max – min approach , 2003 .

[8]  S. H. Ghodsypour,et al.  The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint , 2001 .

[9]  Cengiz Kahraman,et al.  Multi Criteria Supplier Selection Using Fuzzy PROMETHEE Method , 2014, Supply Chain Management Under Fuzziness.

[10]  K. Shahroudi,et al.  Using a multi-criteria decision making approach (ANP-TOPSIS) to evaluate suppliers in Iran’s auto industry , 2012 .

[11]  Ton van der Wiele,et al.  The ISO 9000 series as a tool for organisational change: Is there a case? , 2001, Bus. Process. Manag. J..

[12]  D. I. Cho,et al.  An integrated approach for supplier selection and purchasing decisions , 2008 .

[13]  Morteza Parhizkari,et al.  A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem , 2013 .

[14]  Wan Lung Ng,et al.  An efficient and simple model for multiple criteria supplier selection problem , 2008, Eur. J. Oper. Res..

[15]  Robert C. Creese,et al.  Neural network application for supplier selection , 2009 .

[16]  Václav Snásel,et al.  A modified Invasive Weed Optimization algorithm for time-modulated linear antenna array synthesis , 2010, IEEE Congress on Evolutionary Computation.

[17]  Kalyanmoy Deb,et al.  A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.

[18]  Reza Tavakkoli-Moghaddam,et al.  Solving a multi-objective chance-constrained hub covering location problem by discrete invasive weed optimization , 2014 .

[19]  W. C. Benton,et al.  Vendor selection criteria and methods , 1991 .

[20]  Srinivas Talluri,et al.  Multiproduct, Multicriteria Model for Supplier Selection with Product Life-Cycle Considerations , 2006, Decis. Sci..