TITLE:
Optimization of Energy Resource Management for Assembly Line Balancing Using Adaptive Current Search
AUTHORS:
Supaporn Suwannarongsri, Tika Bunnag, Waraporn Klinbun
KEYWORDS:
Adaptive Current Search; Assembly Line Balancing; Energy Resource Management; Metaheuristic Optimization
JOURNAL NAME:
American Journal of Operations Research,
Vol.4 No.1,
January
15,
2014
ABSTRACT: This paper aimed to
present the optimization of energy resource management in a car factory by the
adaptive current search (ACS)—one of the most efficient metaheuristic
optimization search techniques. Assembly lines of a specific car factory considered
as a case study are balanced by the ACS to optimize their energy resource management. The workload variance of the line is
performed as the objective function to be minimized in order to increase the
productivity. In this work, the ACS is used to address the number of tasks
assigned for each workstation, while the sequence of tasks is assigned by
factory. Three real-world assembly line balancing (ALB) problems from a
specific car factory are tested. Results obtained by the ACS are compared with
those obtained by the genetic algorithm (GA), tabu search (TS) and current
search (CS). As results, the ACS outperforms other
algorithms. By using the ACS, the productivity can be increased and the energy
consumption of the lines can be decreased significantly.