首页|Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework:turnkey project-oriented rapid manufacturing system configuration
Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework:turnkey project-oriented rapid manufacturing system configuration
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In the context of increasingly prominent product personalization and customization trends,intelligent manu-facturing-oriented turnkey projects can provide manufactur-ers with fast and convenient turnkey services for manufactur-ing systems.Their key characteristic is the transformation of the traditional design process into a configuration process.However,the scope of configuration resources in existing research is limited;the cost and time required for manufac-turing system construction are overlooked;and the integra-tion of the system layout configuration is rarely considered,making it difficult to meet the manufacturing system con-figuration requirements of turnkey projects.In response,this study establishes a multi-factor integrated rapid configura-tion model and proposes a solution method for manufactur-ing systems based on the requirements of turnkey projects.The configuration model considers the system construction cost and duration and the product manufacturing cost and duration,as optimization objectives.The differences in product feature-dividing schemes and configuration of pro-cesses,equipment,tools,fixtures,and layouts were consid-ered simultaneously.The proposed model-solving method is a three-layer hybrid optimization algorithm framework with two optimization algorithm modules and an intermedi-ate algorithm module.Four hybrid configuration algorithms are established based on non-dominated sorting genetic algorithm-Ⅲ(NSGAⅢ),non-dominated sorting genetic algorithm-Ⅱ(NSGAⅡ),multi-objective simulated anneal-ing(MOSA),multi-objective neighborhood search(MONS),and tabu search(TS).These algorithms are compared and validated through a hydraulic valve block production case,and the TS and NSGAⅢ(TS-NSGAⅢ)hybrid algorithm exhibits the best performance.This case demonstrates the effectiveness of the proposed model and solution method.