Type II robotic assembly line balancing problem: An evolution strategies algorithm for a multi-objective model

In this paper a different type II robotic assembly line balancing problem (RALB-II) is considered. One of the two main differences with the existing literature is objective function which is a multi-objective one. The aim is to minimize the cycle time, robot setup costs and robot costs. The second d...

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Bibliographic Details
Published in:Journal of manufacturing systems 2012-04, Vol.31 (2), p.139-151
Main Authors: Yoosefelahi, A., Aminnayeri, M., Mosadegh, H., Ardakani, H. Davari
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Decision theory. Utility theory
Exact sciences and technology
Inventory control, production control. Distribution
Mathematical programming
Mixed-integer linear programming
Multi-objective evolution strategies
Operational research and scientific management
Operational research. Management science
Pareto optimal
Robotic assembly line balancing
Robotics
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Summary:In this paper a different type II robotic assembly line balancing problem (RALB-II) is considered. One of the two main differences with the existing literature is objective function which is a multi-objective one. The aim is to minimize the cycle time, robot setup costs and robot costs. The second difference is on the procedure proposed to solve the problem. In addition, a new mixed-integer linear programming model is developed. Since the problem is NP-hard, three versions of multi-objective evolution strategies (MOES) are employed. Numerical results show that the proposed hybrid MOES is more efficient.
ISSN:0278-6125
1878-6642
DOI:10.1016/j.jmsy.2011.10.002