Abstract
Flow shop scheduling problem is a type of scheduling dealing with sequencing jobs on a set of machines in compliance with predetermined processing orders. Each production stage to be scheduled in typical flow shop scheduling contains only one machine. However, in automotive part industry, many parts are produced in sequential flow shop containing more than one machines in each production stage. This circumstance cannot apply the existing method of flow shop scheduling. The objective of this research is to schedule the production process of automotive parts. The feature production is hybrid flow shop which consists of two-stages. In each stage, there are several manufacturing machines and each machine can produce more than one product. Thus, production scheduling is a complex problem. This paper, therefore, develops mathematical model to solve the hybrid flow shop production scheduling under different constraints of each machine. The setup time and production time of each machine can be different for each part. The solution for the experimental data sets from an automotive part manufacturer reveals that the process time can be reduced by 34.29%.
| Original language | English |
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| Title of host publication | Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017 |
| Editors | Zita Zoltay Paprika, Peter Horak, Kata Varadi, Peter Tamas Zwierczyk, Agnes Vidovics-Dancs, Janos Peter Radics |
| Publisher | European Council for Modelling and Simulation |
| Pages | 204-208 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780993244049 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 31st European Conference on Modelling and Simulation, ECMS 2017 - Budapest, Hungary Duration: 23 May 2017 → 26 May 2017 |
Publication series
| Name | Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017 |
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Conference
| Conference | 31st European Conference on Modelling and Simulation, ECMS 2017 |
|---|---|
| Country/Territory | Hungary |
| City | Budapest |
| Period | 23/05/17 → 26/05/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Automotive parts
- Hybrid flow shop scheduling
- Optimal production schedule
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