| Summary: | 碩士 === 國立勤益科技大學 === 工業工程與管理系 === 101 === In order to satisfy the different requirements of customers, the assembly line model
have to change from producing single type production to producing multiple type one
simultaneously on the same assembly line. And assigning jobs to stations becomes more
complicate than before, this makes the assembly line balancing problem becomes an
important issue. The idle time and overload of the labors or machines will be reduced if
the assembly lines are balanced and then the production efficiency will be move up and
the total synergy of assembly line will be improved.
Differing from the heuristic or hybrid meta-heuristic used before, this study
proposes a multi-agent system for mixed-model assembly line balancing. The system
consists of planning agent, balancing agent and machine agent. The agents can negotiate
between them iteratively to improve jobs assignment. The greatest positional weight is
applied to obtain initial solution, and then the neighborhood search of Tabu search is
employed to find the best move strategy to insert or swap jobs among machines.
The results show that the proposed agent negotiation approach can minimize the
work load variation and idle time of workstation on assembly line and achieve the goal
of assembly line balancing.
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