Improving effectiveness of parallel machine scheduling with earliness and tardiness costs: A case study
This paper assesses the effectiveness in scheduling independent jobs with earliness/tardiness costs and variable setup times applying the Overall Equipment Effectiveness (OEE). The OEE is a common metric for measuring the manufacturing productivity. We defined a mixed-integer linear programming form...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2019 |
| País: | España |
| Recursos: | Universidad de Navarra |
| Repositório: | Dadun. Depósito Académico Digital de la Universidad de Navarra |
| Idioma: | inglês |
| OAI Identifier: | oai:dadun.unav.edu:10171/62720 |
| Acesso em linha: | https://hdl.handle.net/10171/62720 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Production scheduling Earliness/tardiness OEE Optimization Multi-objective KPI’s |
| Resumo: | This paper assesses the effectiveness in scheduling independent jobs with earliness/tardiness costs and variable setup times applying the Overall Equipment Effectiveness (OEE). The OEE is a common metric for measuring the manufacturing productivity. We defined a mixed-integer linear programming formulation of the parallel machine scheduling problem with four different objective functions in order to compare different scheduling configurations. Real data, from a plastic container manufacturing company located in the Basque Country (Spain), were used to validate this approach. A sensitivity analysis was performed with different production capacities and earliness/tardiness costs in order to evaluate the trade-offs between economic performance (i.e., costs) and the partial rates of OEE (i.e., quality, performance and availability). The objective of this study is to propose a guideline to help management make decisions regarding the measurement and improvement of scheduling effectiveness through contemplating earliness, tardiness and variable setup times. |
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