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Titlebook: Advances in Production Management Systems. Towards Smart and Digital Manufacturing; IFIP WG 5.7 Internat Bojan Lalic,Vidosav Majstorovic,Da

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Computational Collective Intelligenceing production costs. The (continuous) collection of relevant data is a crucial precondition for every Industry 4.0 or smart technology. While new machines have internal controllers and sensors to meet those requirements, this is usually not the case for machines being already in use. Especially in
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Marcin Gorawski,Ewa Płuciennik-Psotanctions locally in companies as well as at the national level. This article addresses how the basic values of this practice promote processes of industrial digitalization in Norway. The digitalization of industry and society has many faces, but the focus here is on organization, forms of collaborati
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Ching-Shen Dong,Ananth Srinivasannergy Analytics and Solution lab, using the Unity3D game development platform. The presented example is a case study that shows the possibilities of such development environment for creating a fully connectable digital twin of an energy analytics lab and other more complex industrial environments.
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Thanh-Trung Nguyen,Phi-Khu Nguyenective of efficient resource allocation, time-saving, broadening the variety of products, reducing waste, and increasing the productivity and economy of production. Delivering competitive advantage needed for being successful in the new digital era is of crucial importance for the Serbian manufactur
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Mn-Ta Lee,Hsuan T. Chang,Mu-Liang Wangsforming companies’ business models by bringing the customer’s preference in the production process. Companies require to adapt their business model to these disrupting manufacturing approach. In this paper, we present a management tool for guiding the business model innovation towards personalized
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