Abstract-In this paper, we consider a problem minimizing investment cost when throughput target is given, and the total budget and available spaces for machines and buffers are limited. This situation happens frequently in practical manufacturing system, and we consider the crankshaft line of a Korean automotive factory as for the case study. Simulation model is developed to estimate throughput and a modified arrow assignment rule using difficulty is suggested to find optimal allocation of machines and buffers.
Phone camera lens module is assembled with a barrel, multiple lenses, multiple spacers and a shield. The major processes of manufacturing system are injection molding, coating and assembly processes, and each process has multiple machines. In this paper, we introduce a scheduler based on simulation model which can be used for frequent rescheduling problem caused by urgent orders, breaking down of molds and failures of machines. The scheduling algorithm uses heuristic Backward-Forward method, and the objective is to minimize the number of tardy orders.
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