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Evaluating the Effects of Energy Productivity Measures on Lean Production Key Performance Indicators

机译:评估能源措施对精益生产关键绩效指标的影响

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The use of energy in manufacturing processes provides great saving potential. Independent studies estimate possible energy savings up to 30%. In order to benefit from these potentials, manufacturing companies need guidelines, which support them in identifying energy waste. The methodology presented provides a four-step approach to increase energy productivity. After creating transparency with an energy oriented value stream mapping and the identification of possible measures to reduce energy waste, the effects of measures on existing key performance indicators of Lean Production Systems (LPS) are analyzed. For that purpose an impact network was generated, which shows possible effects. Based on that impact network, a generic system dynamics model helps to simulate dynamic effects on important target figures out of the LPS key performance indicators. With that information, manufacturing companies are able to increase energy productivity without having negative effects on existing manufacturing structures.
机译:在制造过程中使用能量提供了很大的节省潜力。独立研究估计可能节省高达30%的能源节省。为了从这些潜力中受益,制造公司需要指导方针,这些指南支持它们识别能源浪费。提出的方法提供了一种四步方法来提高能源生产率。在创造透明度与能量取向值流映射和识别可能的措施以减少能量浪费,分析了措施对瘦生产系统(LPS)现有关键性能指标的影响。为此目的,生成了影响网络,显示出可能的效果。基于该影响网络,通用系统动态模型有助于模拟LPS关键绩效指标的重要目标数据的动态效果。通过该信息,制造公司能够提高能源生产率而不会对现有制造结构产生负面影响。

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