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Mixed packing strategy for mass-product distributions and its Minimum Unpacking Problem

机译:大量产品分布的混合包装策略及其最低解包问题

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Packing and unpacking are necessary operations in the product distribution processes of mass manufacturing. To reduce unpacking operation numbers, some Chinese enterprises designed an innovative packing strategy. It is refereed as “Multi-Type Mixed Packing with Variable Ratio”. The new packing strategy generates a new optimization problem named as “Minimum Unpacking Problem”. We propose the mathematical model and solution approach of minimum unpacking problem. By using the model and solution approach, the performances of three kinds of packing strategies which are the suggested mixed packing strategy, and single-type packing strategy and fixed ratio mixed packing strategy, are compared by simulation for a lot of different situations including different sizes, different supply-demand rate, and different distributions of demands. The applicable cases for each packing strategies are pointed. The simulation results have shown us that the suggested variable mixed packing strategy can greatly reduce the unpacking operation numbers in the distribution processes of mass-made products by using minimum unpacking optimization. It can bring considerable profits to the enterprises.
机译:包装和解包是大规模制造业产品分配过程中的必要操作。为了减少拆包操作号码,一些中国企业设计了一种创新的包装策略。它被称为“具有可变比率的多型混合包装”。新的包装策略会生成一个名为“最小解压缩问题”的新优化问题。我们提出了最小解包问题的数学模型和解决方案方法。通过使用模型和解决方案方法,通过模拟在包括不同尺寸的许多不同情况下的模拟比较了三种包装策略的性能,以及所提出的混合包装策略和单型包装策略和固定比率混合包装策略,不同的供需率和不同的需求分布。指出每个包装策略的适用案例。仿真结果表明,通过使用最小解包优化,建议的可变混合包装策略可以大大减少大规模产品分布过程中的打开操作编号。它可以为企业带来相当大的利润。

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