考虑客户满意度的智能制造生产设备选型与配置优化

Equipment Selection and Configuration Optimization for Smart Production Considering Customer Satisfaction

摘要: 以考虑客户满意度的智能制造生产设备选型与配置优化为核心目标，本文聚焦半导体设备领域，以薄膜液晶显示器(TFT-LCD)设备配向部分生产线为典型研究对象，基于粒子群算法开展设备快速选型与配置优化研究。研究将客户满意度作为关键考量维度，在满足产能需求的前提下，构建涵盖占地面积、耗电量、产品故障率、设备损耗率及客户满意度的多目标优化体系，旨在实现设备配置的相对最优与利用率最大化。通过建立智能制造场景下的设备数据库与数学模型，运用粒子群算法进行多目标优化求解，在客户要求及订单量的约束条件下，精准平衡客户满意度与企业利润，快速输出最优配置方案。结合T公司的案例分析，验证了模型与算法的可靠性，成功生成客户满意的设备选型配置方案。该智能算法适配智能制造生产线的柔性需求，在生产线布局初期可高效解决半导体设备新建厂区初期的快速选型问题，为考虑客户满意度的智能制造生产设备优化配置提供了有效支撑。

Abstract: With the core objective of optimizing the selection and configuration of intelligent manufacturing production equipment considering customer satisfaction, this paper focuses on semiconductor equipment, taking the alignment section production line of TFT-LCD equipment as a typical case, and conducts research on rapid equipment selection and configuration optimization based on the particle swarm optimization (PSO) algorithm. Taking customer satisfaction as a key consideration and on the premise of meeting production capacity requirements, this study establishes a multi-objective optimization system covering floor space, power consumption, product failure rate, equipment loss rate, and customer satisfaction, aiming to achieve the relative optimality of equipment configuration and maximize equipment utilization. By establishing an equipment database and mathematical model in the context of intelligent manufacturing, and using the particle swarm optimization algorithm for multi-objective optimization solving, it precisely balances customer satisfaction and enterprise profits under the constraints of customer requirements and order quantity, and quickly outputs the optimal configuration scheme. Combined with a case study of Company T, the reliability of the model and algorithm is verified, and a customer-satisfying equipment selection and configuration scheme is successfully generated. This intelligent algorithm adapts to the flexible needs of intelligent manufacturing production lines, and can efficiently solve the rapid selection issues in the initial stage of new plant construction for semiconductor equipment including TFT-LCD during the early stage of production line layout, providing effective support for the optimal configuration of intelligent manufacturing production equipment considering customer satisfaction.