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Challenges in Implementing Industry 4 Laboratories and Learning Factories in Academia.

, , , , and . IEEM, page 506-510. IEEE, (2019)

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Optimization of Multi-commodities Consumer supply Chains for-Part I-Modeling., , and . J. Comput. Sci., 9 (12): 1830-1846 (2013)Implementation of a Bi-Directional Digital Twin for Industry 4 Labs in Academia: A Solution Based on OPC UA., , , , , and . IEEM, page 979-983. IEEE, (2020)An innovative framework for designing genetic algorithm structures., , and . Expert Syst. Appl., (2017)Optimization of a Two-Echelon Supply Network Using Multi-objective Genetic Algorithms., , and . CSIE (5), page 406-413. IEEE Computer Society, (2009)Optimization of multi-commodities consumer supply chains part II: Simulation modeling., , and . IEEM, page 209-213. IEEE, (2014)Optimisation of partner selection and collaborative transportation scheduling in Virtual Enterprises using GA., , and . Expert Syst. Appl., 41 (15): 6701-6717 (2014)A genetic algorithm for the optimisation of assembly sequences., , and . Comput. Ind. Eng., 50 (4): 503-527 (2006)Optimisation of distribution networks using Genetic Algorithms. Part 2 - the Genetic Algorithm and Genetic Operators., , and . Int. J. Manuf. Technol. Manag., 15 (1): 84-101 (2008)Application of a fuzzy multi-criteria decision-making approach for dynamic scheduling in robotic flexible assembly cells., , and . IEEM, page 379-382. IEEE, (2014)Challenges in Implementing Industry 4 Laboratories and Learning Factories in Academia., , , , and . IEEM, page 506-510. IEEE, (2019)