Assembly line balancing problem

Author:

Fathi Masood,Fontes Dalila Benedita Machado Martins,Urenda Moris Matias,Ghobakhloo Morteza

Abstract

Purpose The purpose of this study is to first investigate the efficiency of the most commonly used performance measures for minimizing the number of workstations (NWs) in approaches addressing simple assembly line balancing problem (SALBP) for both straight and U-shaped line, and second to provide a comparative evaluation of 20 constructive heuristics to find solutions to the SALBP-1. Design/methodology/approach A total of 200 problems are solved by 20 different constructive heuristics for both straight and U-shaped assembly line. Moreover, several comparisons have been made to evaluate the performance of constructive heuristics. Findings Minimizing the smoothness index is not necessarily equivalent to minimizing the NWs; therefore, it should not be used as the fitness function in approaches addressing the SALBP-1. Line efficiency and the idle time are indeed reliable performance measures for minimizing the NWs. The most promising heuristics for straight and U-shaped line configurations for SALBP-1 are also ranked and introduced. Practical implications Results are expected to help scholars and industrial practitioners to better design effective solution methods for having the most balanced assembly line. This study will further help with choosing the most proper heuristic with regard to the problem specifications and line configuration. Originality/value There is limited research assessing the efficiency of the common objectives for SALBP-1. This study is among the first to prove that minimizing the workload smoothness is not equivalent to minimizing the NWs in SALBP-1 studies. This work is also one of the first attempts for evaluating the constructive heuristics for both straight and U-shaped line configurations.

Publisher

Emerald

Subject

Management Science and Operations Research,Strategy and Management,General Decision Sciences

Reference35 articles.

1. Fuzzy adaptive genetic algorithm for multi-objective assembly line balancing problems;Applied Soft Computing,2015

2. A new heuristic method to solve straight assembly line balancing problem;Pertanika Journal of Science & Technology,2012

3. A taxonomy of line balancing problems and their solutionapproaches;International Journal of Production Economics,2013

4. A dynamic programming based heuristic for the assembly line balancing problem;European Journal of Operational Research,2009

5. Multi-rule multi-objective simulated annealing algorithm for straight and u type assembly line balancing problems;Journal of Intelligent Manufacturing,2006

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