شماره ركورد كنفرانس :
4214
عنوان مقاله :
Modeling and solving Multi-objective MRCPSP using genetic algorithm (case study: Design and manufacturing adhesive pasting)
پديدآورندگان :
Jafary Sany Mehrdad Sadjad University of Technology, Mashhad , Rezaee Nik Ebrahim Sadjad University of Technology, Mashhad
تعداد صفحه :
9
كليدواژه :
Multi , objective , Multi , mode , Resource Constrained Project Scheduling Problem , Genetic Algorithm (GA)
سال انتشار :
1396
عنوان كنفرانس :
دهمين كنفرانس بين المللي تحقيق در عمليات
زبان مدرك :
فارسي
چكيده فارسي :
Resource Constrained Project Scheduling Problem (RCPSP) is a classic combined optimization problem in which project activities should be scheduled in order to optimize project time and some other goals. Most research conducted in project scheduling is aimed to decrease project time or cost and improving project quality. In this paper by considering 3goals, including time, cost and quality simultaneously, a comprehensive model is introduced. In our problem each activity can be done withmultiple execution modes with different time, cost and quality. The proposed model is solved using Genetic Algorithm. The results show that the proposed algorithm is efficient.
كشور :
ايران
لينک به اين مدرک :
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