Optimization of Energy Resource Management for Assembly Line Balancing Using Adaptive Current Search

• 作者: Supaporn Suwannarongsri Tika Bunnag Waraporn Klinbun
• 来源期刊: 美国运筹学期刊(英文)
• 学科: 医学
• 关键词: ADAPTIVE CURRENT SEARCH Assembly Line Balancing Energy Resource MANAGEMENT METAHEURISTIC OPTIMIZATION
• 年，卷（期）: mgycxqkyw_2014,（1）
• 页码范围: 8-21
• 页数: 14页
• 分类号: R73

摘要

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.