与能源价格和工作负荷相关的调度规则：平衡能源成本与生产物流成本
Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs
AI总结：
本研究针对能源价格波动下的可持续制造需求，提出一种结合能源价格、工作负荷与MRP的新型调度规则，通过调整机器运行状态优化成本，经全因子仿真验证可降低总成本，并揭示两类成本的权衡关系以辅助决策。
摘要：
为应对能源价格波动背景下可持续制造实践日益增长的需求，本研究提出了一种新型调度规则，该规则将能源价格与工作负荷考量和物料需求计划（Material Requirement Planning, MRP）相结合，以优化生产物流与能源成本。该调度规则可根据当前能源价格和工作负荷有效调整机器运行状态，即开启或关闭机器。本研究构建了一个随机多产品多阶段作业车间仿真模型，通过全面的全因子仿真评估了该调度规则的性能。研究结果表明，该方法显著提升了车间决策水平，降低了总成本。此外，对帕累托前沿的分析揭示了最小化能源成本与生产物流成本之间的权衡关系，可辅助决策者选择最优配置。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
