Presenting a model for production and transportation scheduling in automotive industry (a case study: Iran Khodro)

One of the main reasons for lack of competitiveness in automotive production in our country is mismanagement in supply of primary parts and transporting them to the domestic auto companies. This paper presents an integrated approach in order to make decisions to schedule orders of production and transportation, including assigning orders to suppliers and vehicles, sequencing production orders for suppliers and the way they are transported to Iran Khodro company. A shared transportation navigation is also considered in the problem. In order to optimize decisions in the proposed model, a genetic algorithm is used. In comparison to integrated and non-integrated models and the developed genetic algorithms used recently in the literature, the algorithm suggested in this paper gives a better performance. Furthermore, when compared to a real case, the proposed algorithm in this paper showed superior results.