A Mathematical Model for a Flow Shop Scheduling Problem with Fuzzy Processing Times
عنوان مقاله: A Mathematical Model for a Flow Shop Scheduling Problem with Fuzzy Processing Times
شناسه ملی مقاله: JR_JOIE-2-3_005
منتشر شده در شماره 3 دوره 2 فصل در سال 1387
شناسه ملی مقاله: JR_JOIE-2-3_005
منتشر شده در شماره 3 دوره 2 فصل در سال 1387
مشخصات نویسندگان مقاله:
Jafar Razmi - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
Reza Tavakkoli Moghaddam - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
Mohammad Saffari - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
خلاصه مقاله:
Jafar Razmi - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
Reza Tavakkoli Moghaddam - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
Mohammad Saffari - Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
This paper presents a mathematical model for a flow shop scheduling problem consisting of m machine and n jobs with fuzzy processing times that can be estimated as independent stochastic or fuzzy numbers. In the traditional flow shop scheduling problem, the typical objective is to minimize the makespan). However,, two significant criteria for each schedule in stochastic models are: expectable makespan and the probability of minimizing the makespan. These criteria can be considered for fuzzy problems as well. In this paper, we propose a solution for the fuzzy model by the use of fuzzy logic based on developing the model presented by MacCahon
کلمات کلیدی: Scheduling, Flo shop, Fuzzy models, Makespan
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/790884/