An effective measure of Key Performance Indicators (KPIs) is of great significance to enhance the capabilities of a decision support system (DSS) of any enterprise. Only a properly planned systematic analysis can provide the DSS with enough information in order to reap the associated benefits. This study aims to provide such an information-set on continuous basis for a tile manufacturing industry of medium-size. A discrete-event simulation-based approach is employed in order to continuously analyze the process parameters in real time. A signal-based notification system is used for dynamic mapping of the process parameters to the defined KPIs in order to tweak the overall system performance. A comparative analysis of the existing process with proposed strategy reveals that there is an increase in the daily production rate that consequently reduced the per unit cost significantly without incurring any considerable capital cost. Apart from the present form, the proposed approach is quite useful by carefully extending it to a generalized form for various industries of similar nature. This would not only help the practitioners in the industry to boost the productivity but also the researchers can employ the approach to design, simulate and devise solutions of customized nature for a wide-set of industries.

中文翻译：

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工业4.0准备：与制造业关键绩效指标相关的绿色计算

有效衡量关键绩效指标（KPI）对于增强任何企业的决策支持系统（DSS）的功能具有重要意义。只有经过适当计划的系统分析才能为DSS提供足够的信息，以便获得相关的收益。这项研究旨在为中等规模的瓷砖制造业连续提供这样的信息集。为了基于实时连续分析过程参数，采用了基于离散事件模拟的方法。基于信号的通知系统用于将过程参数动态映射到定义的KPI，以便调整整体系统性能。通过提议的策略对现有流程进行的比较分析表明，日生产率有所提高，因此可以显着降低单位成本，而不会产生任何可观的资本成本。除了当前形式外，建议的方法还可以通过将其仔细地扩展为具有相似性质的各种行业的通用形式来使用。这不仅将帮助该行业的从业人员提高生产率，而且研究人员可以采用该方法来设计，模拟和设计适用于各种行业的定制性质的解决方案。