ABSTRACT The demand response monitoring is one key energy-efficient production technique and can reduce costs contributing simultaneously to the reduction of environmental emissions and maintaining the stability of electrical grids following the policies examined from European and International organizations. Although, energy trade market effect has been investigated in the literature, the novelty of this research work lies in the design and development of an Industrial Product Service System (IPSS) business model, aiming to the collaboration between Energy Sales Companies (ESC) and manufacturing companies. ESC through an energy-demand management tool, supported by data acquisition devices connected to the Cloud, calculates and signals energy price forecasts to the manufacturers. Moreover, an adaptive production scheduling approach considering the power usage of manufacturers in response to time-varying energy prices is presented. Particularly, an intelligent algorithm is applied for the generation and examination of multi-criteria alternative assignment scenarios and an evaluation of each planning scenario against a set of user-defined criteria is made for the identification of the most efficient ones. The proposed approach is validated in an industrial case study using production and energy-consumption data from a mold making industry. The results indicate potential savings for the industrial consumer finding both actors to mutually benefit.

中文翻译：

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能源贸易市场对生产调度的影响：工业产品服务系统 (IPSS) 方法

摘要 需求响应监测是一项关键的节能生产技术，可以降低成本，同时有助于减少环境排放和按照欧洲和国际组织审查的政策维持电网的稳定性。尽管文献中已经研究了能源贸易市场效应，但这项研究工作的新颖之处在于工业产品服务系统 (IPSS) 商业模式的设计和开发，旨在能源销售公司 (ESC) 与制造业之间的合作公司。ESC 通过能源需求管理工具，在连接到云的数据采集设备的支持下，计算能源价格预测并将其发送给制造商。而且，提出了一种考虑制造商的电力使用以响应时变能源价格的自适应生产调度方法。特别是，智能算法应用于生成和检查多标准替代分配方案，并根据一组用户定义的标准对每个规划方案进行评估，以识别最有效的方案。所提出的方法在使用来自模具制造行业的生产和能源消耗数据的工业案例研究中得到了验证。结果表明，工业消费者发现双方都可以互惠互利，因此可能节省开支。智能算法用于生成和检查多标准替代分配方案，并根据一组用户定义的标准对每个规划方案进行评估，以确定最有效的方案。所提出的方法在使用来自模具制造行业的生产和能源消耗数据的工业案例研究中得到了验证。结果表明，工业消费者发现双方都可以互惠互利，因此可能节省开支。智能算法用于生成和检查多标准替代分配方案，并根据一组用户定义的标准对每个规划方案进行评估，以确定最有效的方案。所提出的方法在使用来自模具制造行业的生产和能源消耗数据的工业案例研究中得到了验证。结果表明，工业消费者发现双方都可以互惠互利，因此可能节省开支。