Azizollah Jafari - Department of Industrial Engineering, University of Science and Culture, Iran & Technology Development Institute, Sharif university branch of ACECR, Iran
Mehdi Sharifyazdi - Department of Industrial Engineering, University of Science and Culture, Iran
Mehdi Jafarian - Department of Industrial Engineering, University of Science and Culture, Iran & Technology Development Institute, Sharif university branch of ACECR, Iran
Seyed Javad Hoseininezhad - Department of Industrial Engineering, Iran University of Science and Technology, Iran

Since now, cost, distance time and other objective data have played an important role in location theory as objective functions in the location models. However they are not sufficient in facing with real world. One of the most important parameter in order to make applicable models is considering qualitative aspects which were called subjective data and they have not been considered seriously or MADM techniques were used, As decision makers opinions are one of the most effective subjective data in the location decision, it this paper we present an algorithm which is able to quantify decision markers opinions via fuzzy theory and construct a multy- objective model by inserting the quantified opinions in a basic distribution center location model. Lp-metric method is used to solve our multi-objective model. Finelly, a numerical example is expressed for illustration of the proposed method.

Distribution centers location problem, multi-objective decision making (MODM), fuzzy AHP