Applied Sciences · 2021 · 30 citations · 28 references
EngineeringIndustrial EngineeringManufacturing EngineeringOptimizationProduction EngineeringProduction PlanningGenetic AlgorithmsManufacturing SimulationProcess EngineeringProduction Planning SystemsProduction SchedulingSimulation-based OptimizationBatch SizingDiscrete Event Simulation ModelsDiscrete-event System SimulationManufacturing OptimizationManufacturing Process SimulationManufacturing System SimulationProduction SimulationProduction System Simulation
The textile industry is an important sector of the Brazilian economy, being considered the fifth largest textile industry in the world. To support further growth and development in this sector, this document proposes a process for production analysis through the use of Discrete Event Simulation (DES) and optimization through genetic algorithms. The focus is on production planning for weaving processes and optimization to help make decisions about batch sizing and production scheduling activities. In addition, the correlations between some current technological trends and their implications for the textile industry are also highlighted. Another important contribution of this study is to detail the use of the commercial software Tecnomatix Plant Simulation 13®, to simulate and optimize a production problem by applying genetic algorithms with real production data.
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Thuy Duong Oesterreich, Frank Teuteberg · Computers in Industry · 2016 · 1.5K citations
Architecture, Construction Management, Technology Management +13
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges
Baotong Chen, Jiafu Wan, Lei Shu et al. · IEEE Access · 2017 · 1.1K citations · Full text