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A cloud-based intelligent decision-making system for order tracking and allocation in apparel manufacturing

机译:基于云的智能决策系统,用于服装制造中的订单跟踪和分配

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This paper addressed the order tracking and allocation problem in an apparel manufacturing environment with multiple plants. A cloud-based intelligent decision-making system was developed to tackle this problem, which combined radio frequency identification and cloud computing technologies to capture real-time production records and make remote production order tracking, and employed computational intelligence techniques to generate effective order allocation solutions to appropriate plants. To evaluate the effectiveness of the proposed system, the system was implemented in an apparel manufacturing company with multiple plants, which reported distinct reductions in production costs and increases in production efficiency. This paper also investigated learning phenomenon in production and its effects on production efficiency and decision-making performance.
机译:本文讨论了在具有多个工厂的服装制造环境中的订单跟踪和分配问题。为了解决这个问题,开发了基于云的智能决策系统,该系统结合了射频识别和云计算技术来捕获实时生产记录并进行远程生产订单跟踪,并使用计算智能技术来生成有效的订单分配解决方案到合适的植物。为了评估所提出系统的有效性,该系统在一家拥有多家工厂的服装制造公司中实施,该公司报告称生产成本显着降低,生产效率有所提高。本文还研究了生产中的学习现象及其对生产效率和决策绩效的影响。

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