Open AccessSolving the Problem of Minimizing the Total Cost in the Integrated Planning of Production and Distribution in a Supply Chain Using Meta-Heuristic Algorithm
Author(s) -
Hadi Pazoki Toroudi,
Mahsa Sadat Madani,
Fatemeh Sarlak,
Yosef GholipourKanani
Publication year - 2017
Publication title -
journal of management research
Language(s) - English
Resource type - Journals
ISSN - 1941-899X
DOI - 10.5296/jmr.v9i1.10591
Subject(s) - crossover , genetic algorithm , production (economics) , mathematical optimization , heuristic , computer science , meta heuristic , algorithm , process (computing) , production planning , supply chain , distribution (mathematics) , mathematics , artificial intelligence , economics , macroeconomics , operating system , mathematical analysis , political science , law
In this paper, a concurrent planning of production and distribution is considered for manufacturers. In the production section production machines with a specific capacity that has the possibility of process multiple tasks simultaneously are intended and the tasks have the desired size and processing time and the overall size of the tasks within each category does not exceed the capacity of the machine. Also in distribution section the vehicles have specified capacity. In this study, by using meta-heuristic Genetics Algorithm the production problem is solved and in genetic algorithms to obtain better solutions help operators crossover and mutation has been taken. Results show that by increasing the size of the issue of genetic algorithms nearly optimum solutions and provides a shorter running time.