Personalized Garment Customization With Multitasking and Distinct Learning Effects

Junkai He, F. Chu, Feifeng Zheng, C. Chu
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Abstract

In this paper, we address a novel personalized garment customization, where two typical characteristics are considered: (i) Multitasking. The staffs have the ability to speed up their service efficiency if two orders are similar to each other. (ii) Unique learning effects. The subsequently served order may have a processing time reduction due to the multitasking ability of designers. The considered problem can be seen as a parallel-machine scheduling problem with multitasking and learning effects. For the problem, a mixed integer programming model is formulated to minimize the total tardiness of customized orders. Note that this is the first model for the personalized customization background. Experimental results on 90 randomly generated instances show that the effectiveness and validity of the proposed solution method. Therefore, our studied problem and method can provide some decision supports for the garment compames.
具有多任务和独特学习效果的个性化服装定制
在本文中,我们讨论了一种新的个性化服装定制,其中考虑了两个典型特征:(i)多任务处理。如果两个订单相似,工作人员有能力加快服务效率。(二)独特的学习效果。由于设计人员的多任务处理能力,后续服务订单的处理时间可能会减少。所考虑的问题可以看作是一个具有多任务和学习效应的并行机器调度问题。针对该问题,建立了一个混合整数规划模型,使定制订单的总延迟最小化。注意,这是个性化定制背景的第一个模型。在90个随机生成实例上的实验结果表明了所提求解方法的有效性和有效性。因此,本文研究的问题和方法可以为服装企业提供决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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