پديدآورندگان :
Mirzaei-Khezri S so.mirzaeek@hotmail.com Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran , Noori-Darvish S Department of Industrial Engineering, Allameh Mohaddes Noori University, Noor, Iran , Tavakkoli-Moghaddam R School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
كليدواژه :
Flexible manufacturing system , Automated guided vehicle , possibilistic programming , Job shop scheduling problem , Completion time , Earliness , Tardiness
چكيده فارسي :
This paper present a novel bi-objective possibilistic mixed-integer linear programming model for a job shop scheduling problem as a flexible manufacturing system with AGVs for automated material handeling. Fuzzy due dates with triangular possibility distribution is the main feature of the model. The objectives are to minimize total completion times and sum of total weighted tardiness and total weighted earliness. A fuzzy programming approach as a MODM method is applied to convert the original model into an auxiliary single objective crisp one. Some numerical instances in small sizes are generated at random by using a classic approach given in the literature and solved in order to obtain the Pareto-optimal solutions..
