Abstract
This paper discusses a sequencing problem of a mixed-model assembly line (MMAL) in a manual boiler plant in Japan, where is used to assemble a variety of product models with certain level of similarity in operational characteristics. This variety causes workload variance among other problems results in low efficiency and line stops. The evaluation of the product sequencing problem refers to the Goal Cashing Method (GCM) that is being developed by Toyota Motor Company for JIT production. Even if the GCM attempts to minimize the distance between the average and actual workloads for each step of the product sequence, the solution for providing an optimum solution for the entire system is not guaranteed. Hence, this study attempts to find the global optimum for MMAL systems and achieve sufficient balancing of MMAL systems to used genetic algorithm. The results of simulation experiments suggest that the proposed approach is an effective management tool of mixed-model assembly line system.
| Original language | English |
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| Title of host publication | 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 40th International Conference on Computers and Industrial Engineering, CIE40 2010 - Awaji Duration: 2010 Jul 25 → 2010 Jul 28 |
Other
| Other | 40th International Conference on Computers and Industrial Engineering, CIE40 2010 |
|---|---|
| City | Awaji |
| Period | 10/7/25 → 10/7/28 |
Keywords
- Genetic algorithm
- Job sequencing
- Line balancing
- Mixed-model assembly lines
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Software