Development and application of magnetic magnesium for data storage in gentelligent products

Optimization of Material Supply in Smart Manufacturing Environment: A Metaheuristic Approach for Matrix Production

“…Rosin et al, 2020 [1] Application of principles and tools of I4.0 in lean management Skapinyecz et al, 2018 [2] Optimal selection of logistics service providers in Industry 4.0 Tchoffa et al, 2019 [3] Extension of federated interoperability framework in I4.0 Alcácer et al, 2019 [4] Information and communication technologies in I4.0 Dastjerdi et al, 2016 [5] Impact of fog computing on IoT solutions Huang et al, 2013 [6] Additive manufacturing and sustainability Wu et al, 2010 [7] Magnetic magnesium for data storage in gentelligent products Guo et al, 2019 [8] Modular based flexible digital twin for factory design Tao et al, 2018 [9] Digital twin-enabled product design, manufacturing, and service Ding et al, 2019 [10] Digital twin-based cyber-physical production system Cui et al, 2020 [11] Big data applications Schahinian, 2020 [12] Concept of matrix production Bányai et al, 2019 [13] Real time optimization of matrix production systems Azarm et al, 1991 [14] Production priorities in the heuristic optimization of rough-mill yield Kops et al, 1994 [15] Optimum allocation of jobs on machine tools Hidaka et al, 1997 [16] Facility location for large-scale logistics using heuristics Chitsaz et al, 2019 [17] Joint optimization of production and distribution Eydi et al, 2020 [18] Decision making for supplier and carrier selection Feng et al, 2018 [19] Integrated production and transportation planning Ghomi et al, 2019 [20] Optimization in cloud manufacturing Sadati et al, 2018 [21] Identification of significant control variables in manufacturing Haberer et al, 2016 [22] Optimization of a crawler track unit Tamás, 2017 [23] Simulation-enabled decision making in manufacturing processes Saez-Mas et al, 2020 [24] Hybrid approach for cell assignment problems Bohács et al, 2017 [25] Ontology-driven framework for Jellyfish-type simulation Ghomi et al, 2019 [26] Optimization of queueing problems in cloud manufacturing Hong et al, 2018 [27] Multi-stage supply chain optimization Khalilpourazari et al, 2019 [28] Analysis of impact of defective supply batches…”

“…The new concept of gentelligent products aims to develop genetically intelligent products and components, which collect data through their lifecycle and bequeath them to the next generation in various time spans. The appearance of gentelligent products has a great impact on big data problems [7].…”

Development of a cloud based smart manufacturing system

“…For the chosen approach, it is necessary to develop the magnetic magnesium (Mg). The Mg used as a sintered material is integrated into an appropriate component (Wu, et al, 2010). The vision of "feeling" machine components is achieved by attaching multi-sensor system to these components (Denkena, et al, 2010).…”