Titlebook: Collaborative Networks in Digitalization and Society 5.0; 23rd IFIP WG 5.5 Wor Luis M. Camarinha-Matos,Angel Ortiz,A. Luís Osório Conferenc

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Incorporating a Prediction Engine to a Digital Twin Simulation for Effective Decision Support in Conlation of a process, a prediction model can be used to determine process parameters based upon desired process outcomes that enhance the manufacturing process. To evaluate our architecture, an industrial case study based on Inventory, Storage and Distribution will be used.

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Shakespeare: Three Problem Playsg models are derived. Combined with a morphology and the value creation system, different scenarios for the identification of platform services are examined. These scenarios are weighted in a utility analysis to get an operating model blueprint to develop and establish digital platforms in less digitized industries.

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Influence of Collaboration in Sustainable Manufacturing Networks co-responsibility for a more sustainable manufacturing network. This article proposes a set of performance indicators and a related simulation model to set up several scenarios to analyse how collaboration can influence sustainability in horizontal manufacturing networks. Results from simulation scenarios are included and discussed.

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Knowledge-Driven Data Provision to Enhance Smart Manufacturing – A Case Study in Swedish Manufacturion from knowledge requirements to identify, extract and provide raw data until the application of such data sets. To evaluate the applicability of the reference model, a case study was conducted in which it was used to guide the implementation of an IoT Solution in four Swedish manufacturing companies.

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Understanding the Organizational Impact of Robotic Process Automation: A Socio-Technical Perspectivestigated. Following a socio-technical systems approach, a model was developed and validated in a use case of a company in the mechanical engineering sector. Knowing the influencing factors before launching large-scale automation initiatives will help practitioners to better exploit efficiency potentials and increase the long-term success.

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