1
PG Student, PSG College of Technology, Coimbatore
2
Associate Professor, PSG College of Technology, Coimbatore
Abstract
This project describes how Simulation can be applied to optimize a job shop scheduling problem (JSSP) at a precision aerospace components manufacturing company. The product selected for the simulation study is casing. As 8 different casings are manufactured in a single casing manufacturing line, the demand requirements are not met. To identify the bottleneck operations, the existing manufacturing process is simulated using Arena simulation software. The model is simulated for various batch sizes and Scheduling rules and the performance parameters like total casing output, average work in process, average utilization and average flow time were determined. Design of experiments and Interaction plot is used to determine the optimum batch size and scheduling rule. The results showed that for maximum casing output and Resource utilization, the optimum batch size is 5 and optimum scheduling rule is Shortest processing time (SPT) priority rule. To minimize the Average WIP and flow time, the optimum batch size is 2 and optimum scheduling rule is Shortest processing time (SPT) priority rule.
R, J., & D R, S. (2021). Optimization In A Casing Manufacturing Industry Using Simulation Study. Int. J. of Aquatic Science, 12(2), 4424-4437.
MLA
Jayachitra R; Siddhaarth D R. "Optimization In A Casing Manufacturing Industry Using Simulation Study". Int. J. of Aquatic Science, 12, 2, 2021, 4424-4437.
HARVARD
R, J., D R, S. (2021). 'Optimization In A Casing Manufacturing Industry Using Simulation Study', Int. J. of Aquatic Science, 12(2), pp. 4424-4437.
VANCOUVER
R, J., D R, S. Optimization In A Casing Manufacturing Industry Using Simulation Study. Int. J. of Aquatic Science, 2021; 12(2): 4424-4437.
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