## 5 Case Study  
The validation of the EDM module and the AR application is based on a real-life case study derived from the mold-making industry. The shopfloor of the mold-making industry consists of 7 job shops, each with 13 work-centers and a total of 40 individual resources. The hierarchical model of the mold-making industry based on the workload and the available resources is illustrated in Figure 5.  
Figure 4: Graphical User Interfaces (GUI) of the developed AR application. The mold company selected as the test case is an SME which manufactures and performs MRO on injection molds. In the present, mold maintenance is manually documented. Therefore, maintenance monitoring, maintenance history of sold molds, historical data about mold assemblies, and the scheduling are performed manually by the mold-maker engineering department and are difficult to track/monitor/retrieve. If a customer requests mold maintenance, the physical product is sent to the company's premises along with a report about the mold specifications. Upon mold arrival, the company's engineering department receives the mold and in conjunction with the technicians, the mold inspection is performed. During this process, the engineer prepares a report of the points/components that need to be repaired, so that the process planning can be completed, and the maintenance quotation is sent to the client as well. The time and cost quotation is sent to the customer as a PDF, through the Cloud platform, for approval. If the customer's approval is granted, then the actual maintenance procedures take place. Finally, the repaired mold is tested and is shipped back to the customer. The proposed framework has implemented an alarming tool, accessible from both stakeholders (i.e., client and service provider). For the alarming tool, the installation and setup of a Wireless Sensor Network (WSN) is required in order to monitor the operation of the injection mold machines. Currently, the mold manufacturer receives no input from their customers about the mold's health during their operation. Thus, the production of the mold company cannot be scheduled effectively, creating delays in the maintenance of the mold as well as the production of the client. At this point, AR is used as a visualization tool for monitoring the status of the mold components. With this functionality, the clients are capable of scanning their molds with the use of unique QR codes and view the mold status. A unique QR code is used for each mold, corresponding to its model, ID, and specifications. A color-coding system has been implemented (green, yellow, and red), indicating the health of the components to quickly notify the users. The engineering department, through the implementation of the ESC module, targets gathering useful insights regarding energy consumption, i.e., when, where, and why energy is consumed, so that the company can enter the energy trade market with knowledge. The SME customer, on the other hand, must be persuaded of the benefits of participating in such an ecosystem. By default, energy provision is a PSS, which involves the contract as a product and a set of services that go far beyond the sole provision of energy and benefit both the energy provider and the customers. The energy provider can design more suitable energy plans by tracking the customers' energy demand, whereas the clients can constantly monitor the amount of energy used as well as peak demands within workdays and workhours, resulting in more cost-effective and environmentally friendly production plans. The business problem that needs to be solved can be defined as an industrial customer's need to reschedule the production in order to avoid excessive energy consumption within a predetermined time frame. It is emphasized that the specific ESC industrial customers  
Figure 5: Hierarchical model for workload and facility model. are covered by a fixed sales tariff, which means a fixed price for peak energy periods and a different price for non-peak energy periods.