Abstract
Production planning and control in semiconductor manufacturing is complicated by high-level of re-entrant. Job batching is commonly used to reduce required setup time and maximize workstation utilization. New research promotes CONWIP in pull production systems, while limiting overall work-in-process. However, the implications of batching on CONWIP systems have not been well studied. This paper describes a series of simulation studies and adopted ANOVA and response surface methodology to investigate the effects and relationship of batching on different numbers of CONWIP cards, demand composition, re-entrant, and setup times. Simulation results show that all batching systems exhibited a high number of CONWIP cards and low job mix, total layers, and setup times when the lowest average flow time as well as the highest throughput level and workstation utilization are achieved. The overall result reveals that batching systems outperform non-batching systems in the simulation model of a CONWIP production control system in semiconductor manufacturing.
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