Paper Title :Solving Parallel Mixed-Model Assembly Line Balancing Problem under Uncertainty Considering Resource-Constrained Project Scheduling Techniques
Author :Masoud Rabbani, Farahnaz Alipour, Mahdi Mobini
Article Citation :Masoud Rabbani ,Farahnaz Alipour ,Mahdi Mobini ,
(2017 ) " Solving Parallel Mixed-Model Assembly Line Balancing Problem under Uncertainty Considering Resource-Constrained Project Scheduling Techniques " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 60-67,
Volume-3,Issue-9
Abstract : When designing an assembly line, one of the most important and challenging problems is the line balancing
problem. While considering the limitations of machinery in parallel mixed model line layouts, and probabilistic uncertainty
of task durations, this study seeks to reduce the number of stations required in assembly lines. Being an NP-hard problem,
the mathematical model cannot be solved to optimality for the real-world problems. A heuristic algorithm is used to solve the
problem that takes advantage of the similarity of the assembly line balancing problem with the resource constraint project
scheduling problem. The Particle Swarm Optimization algorithm is used to explore the feasible region. Monte-Carlo
simulation method is applied to consider the uncertainties and their effect on the optimum number of stations. The proposed
model and the solution method are evaluated by well-known data set available in the literature. Obtained results show the
merits of the proposed model and the solution method.
Keywords - Mixed-model Assembly Line, Balancing, Stochastic Optimization, Parallel Line, Resource Constraint Project
Scheduling, Particle Swarm Optimization Algorithm
Type : Research paper
Published : Volume-3,Issue-9
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-9464
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Copyright: © Institute of Research and Journals
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Published on 2017-11-24 |
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