Manufacturing Decision Support System II


n this deliverable, it is described the work for the COMPOSITION task T3.4 –Decision Support System for Optimising Manufacturing Processing. The deliverable is the update of D3.8 –Manufacturing Decision Support System I. It contains all the updatesdone in the T3.4 from M20 to M30. The DSS combinesinformation from included Business Process Diagrams (BPD) and Digital Factory Model (DFM) and based on the semantic models produced as well as from all stakeholders involved in the complete supply chain.The task extendsthe work done in other projects such as SatisFactory(SatisFactory, 2015). The main aim of the DSS isto make a step forward towards a better understanding of the involved manufacturing processes and operations, the contribution of individual links of the supply chain, the effect of process monitoring in productivity, to facilitate communication and knowledge sharing among departments with different roles and responsibilities, the maintenance requirements and procedures and the detection of daily production details and flaws(COMPOSITION, 2016). The data isreceived via MQTT and AQMP protocols and formats (XML and JSON) provided from the partners involved in the ongoing processes and isreal -time processed. It isbe coupled with the associated requests to certain parts of the supply chain, SOP (standard operating procedures) and response strategies, in order to offer feedback to the involved internal or external suppliers, in terms of actionable knowledge and recommendations, including maintenance operations and schedules. The DSS system providesfeedback at fixed and mobile terminals in attractive communication interfaces and visualise KPIs and real-time data analyticsIn this deliverable an analysis of the current State of the Art for DSS is given, including streaming processes and security options. Also, the COMPOSITION DSS is analysed and examined in detail, along with its algorithms and. a small description of the components thatwork together with DSS and the integration of them in the system.

Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
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