## 5 Case Study
One theoretical scenario that serves as a starting point for the adaptive scheduling algorithm is presented in Figure 6. The energy peak is identified on the ESC side, considering the energy requirements of the companies. The ESC then specifies two specific periods with energy consumption thresholds. In the case that the above-mentioned thresholds are not exceeded, the industry's pricing tariff remains the same. In order to implement and validate the developed system, a use case of a mold-manufacturing SME undertaking both the construction of new molds as well the maintenance of older molds was chosen. The current situation is not digitalized and the communication between the customer and the manufacturer is based on the exchange of written reports. In addition to that, the mold manufacturer is not aware of the malfunctions of the mold until it has been delivered to their premises by the customer. For the testing and validation purposes, the following scenario was set up. Initially, the customer had to create a digital form using the developed mobile application in order to request a maintenance schedule and to describe the malfunction observed. Then, the customer delivered the injection mold to the premises of the manufacturer. At this point, the engineering department is assigned with the task of mold inspection. During this step, the engineers physically inspect the mold and with the utilization of the mobile application functionalities, they create textual annotation on the virtual counterparts of the mold, which are then saved automatically on the Cloud Database. In case that there are no data about the operating parameters of the mold, the customer is requested to upload them using the Cloud Database. It is stressed that these data will be used at the final stage of the maintenance procedure in order to test it under real circumstances. As soon as the physical inspection of the mold is completed, the engineer using the application composes an analytical quote about the maintenance activities required. Simultaneously, the BOM and the BOP are created in order to proceed. In order to facilitate the engineers creating an accurate quote, similar past cases are examined in order to provide time and cost estimations which have been saved in the Cloud repository. At this point, the engineer consults the energy supplier in order to obtain the necessary energy consumption and pricing predictions. Further to that, the scheduling of the mold maintenance company is adapted to the predictions of the energy provider, taking into consideration the MRO operation that needs to be undertaken. As a result, the maintenance engineer has a clear perspective on the delivery date of the mold from the customer. By extension, the customer can adapt their production schedule based on the report received from the maintenance engineer. Consequently, with the integration of the proposed framework, as part of the PSS provided by the mold maker, disruptions in the production and  
Figure 6: Scenario for the consideration of the energy-supplier to the adaptive scheduling algorithm. the supply chain can be further minimized. In Figure 7, a typical example of three different injection mold maintenance BOPs are illustrated. The technicians are in charge of the maintenance. Through the interactive 3D GUIs, the shopfloor technicians are provided the functionality to record the duration of each maintenance task. As long as a maintenance task is completed, the time recording is automatically uploaded to the Cloud Database and the knowledge database is updated. There are two (2) demand periods (DP) in which \"smoothen the peak requirement\" exists, with the following targeted thresholds: 50 KWh (DP1) and 0 KWh (DP2). Finally, a balanced change has been accomplished. Even though the processing time has increased by 3% overall, energy consumption has decreased by 11%, achieving the desired consumption shift. Likewise, the adapted schedule reduces energy costs while increasing time. Finally, a balanced change has been accomplished.