Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909374961680384 |
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| author | Bokor, Balwin Seiringer, Wolfgang Altendorfer, Klaus Felberbauer, Thomas |
| author_facet | Bokor, Balwin Seiringer, Wolfgang Altendorfer, Klaus Felberbauer, Thomas |
| contents | In response to the escalating need for sustainable manufacturing practices amid fluctuating energy prices, this study introduces a novel dispatching rule that integrates energy price and workload considerations with Material Requirement Planning (MRP) to optimize production logistics and energy costs. The dispatching rule effectively adjusts machine operational states, i.e. turn the machine on or off, based on current energy prices and workload. By developing a stochastic multi-item multi-stage job shop simulation model, this research evaluates the performance of the dispatching rule through a comprehensive full-factorial simulation. Findings indicate a significant enhancement in shop floor decision-making through reduced overall costs. Moreover, the analysis of the Pareto front reveals trade-offs between minimizing energy and production logistics costs, aiding decision-makers in selecting optimal configurations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_02445 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs Bokor, Balwin Seiringer, Wolfgang Altendorfer, Klaus Felberbauer, Thomas General Economics Economics In response to the escalating need for sustainable manufacturing practices amid fluctuating energy prices, this study introduces a novel dispatching rule that integrates energy price and workload considerations with Material Requirement Planning (MRP) to optimize production logistics and energy costs. The dispatching rule effectively adjusts machine operational states, i.e. turn the machine on or off, based on current energy prices and workload. By developing a stochastic multi-item multi-stage job shop simulation model, this research evaluates the performance of the dispatching rule through a comprehensive full-factorial simulation. Findings indicate a significant enhancement in shop floor decision-making through reduced overall costs. Moreover, the analysis of the Pareto front reveals trade-offs between minimizing energy and production logistics costs, aiding decision-makers in selecting optimal configurations. |
| title | Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs |
| topic | General Economics Economics |
| url | https://arxiv.org/abs/2405.02445 |