Enhancing Performance of Spare Part Manufacturing Industry through Job-Shop Scheduling System: A Case of Addis Machine and Spare Parts Manufacturing Industry (AMSMI)
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Date
2023-03
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Addis Ababa University
Abstract
Industries nowadays must be able to quickly adapt with the customer and improve production performance to survive in the competitive edge. This study aims at enhancing performance of spare part manufacturing industry through job shop scheduling by taking Addis Machine and Spare Parts Manufacturing Industry (AMSMI) as a cases study. The study combines scheduling and model simulation as methodological techniques to optimize numerous performance indicators in the production system. The study also identifying critical success factors affecting performance of manufacturing industry and major key production performance indicators, through different literature review. Moreover, brief evaluations of solution techniques for Flexible Job Shop Scheduling Problem (FJSSP) are addressed. Due to poor production schedule attainment, the company (AMSMI) is facing long lead time of products (make span), idleness of machine and high work in process (WIP). To address those problems, detail shop floor assessment and analysis of current scheduling system (First Come First Serve) and other alternative schedule scenarios (Longest Processing Time and Generic shifting Bottleneck) are conducted using Lekin and Arena simulation software. As the analysis shows, in the current scheduling system makespan, product output, machine utilization and works in process (WIP) are 1100 minutes, 126, 31.44% and 470.01 respectively, whereas in the optimum scheduling model (Generic Shifting Bottleneck Algorithm), makespan, product output, machine utilization and work in process (WIP) are 1043 minutes, 131, 36.06% and 432.08 respectively. So it is concluded as, using the proposed scheduling model (Generic Shifting Bottleneck Algorithm) can increases makespan, machine utilization and product output by 5.1%, 4.6% and 3.8% respectively, and decreased work in process (WIP) by 8%. Therefore, this research implies that combining scheduling and model simulation to use as the performance enhancement approach can optimize several performance indicators simultaneously, in spare part manufacturing industries.
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Keywords
Performance, FJSSP, Generic SB Algorithm, makespan, machine utilization, WIP