An Optimized Mathematical Model for Items Supplies Planning of a Logistic System

Mohammad Ali Nasiri Khalili, Mostafa Kafaei Razavi and Morteza Kafaee Razavi

Modern Applied Science, 2016, vol. 10, issue 10, 133

Abstract: Items supplies planning of a logistic system is one of the major issue in operations research. In this article the aim is to determine how much of each item per month from each supplier logistics system requirements must be provided. To do this, a novel multi objective mixed integer programming mathematical model is offered for the first time. Since in logistics system, delivery on time is very important, the first objective is minimization of time in delivery on time costs (including lack and maintenance costs) and the cost of purchasing logistics system. The second objective function is minimization of the transportation supplier costs. Solving the mathematical model shows how to use the Multiple Objective Decision Making (MODM) can provide the ensuring policy and transportation logistics needed items. This model is solved with CPLEX and computational results show the effectiveness of the proposed model.

Date: 2016
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