Improving effectiveness of parallel machine scheduling with earliness and tardiness costs: A case study
| Autor: | Jairo R. Montoya-Torres, Maria Jesus Alvaréz, Javier Santos, Andrés Muñoz-Villamizar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Optimization
Machine scheduling Mathematical optimization OEE Multi-objective lcsh:T55.4-60.8 Computer science Tardiness Production scheduling Scheduling (production processes) Production sch eduling KPI’s Industrial and Manufacturing Engineering Earliness/tardiness lcsh:Industrial engineering. Management engineering lcsh:Production management. Operations management lcsh:TS155-194 |
| Zdroj: | Universidad de La Sabana Intellectum Repositorio Universidad de La Sabana Repositorio Universidad de la Sabana Universidad de la Sabana instacron:Universidad de la Sabana Dadun. Depósito Académico Digital de la Universidad de Navarra Consejo Superior de Investigaciones Científicas (CSIC) International Journal of Industrial Engineering Computations, Vol 10, Iss 3, Pp 375-392 (2019) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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