This Special Issue of the Journal of Industrial Engineering and Management (JIEM) gathers six papers, which contributed to deepen knowledge in the sustainable Industry 4.0 domain, through the presentation of studies focused on the adoption of smart technologies, methodologies, artificial intelligence techniques, and optimised strategies for a sustainable management of the factories of the future.These papers were selected at the 2020 edition of the International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), organised by the University of Applied Sciences Upper Austria, Austria, and the University of Calabria, Italy, whose mission is to exchange knowledge and discuss theoretical advances, research results and industrial experiences among researchers and practitioners in the field of Industry 4.0 and smart manufacturing for the digital.
Nowadays production environments request standard efficient frameworks in order to map and simulate manufacturing processes which literature or market can barely provide. A generalized reference model is necessary to highlight the differences and affinities among manufacturing systems resources, so as to examine the possibilities of modelling of such concepts and their respective roles. OPUS project formalizes a new modelling and simulation language for productive manufacturing systems through the support of an optimization tool development. On a practical level a BPMN approach has been useful to conceive a model strictly related to business processes, in addition to the simplification of the implementation/coding of the simulation tool.
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