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Scheduling optimisation of co-operator selection and task allocation in mass customisation supply chain based on collaborative benefits and risks

机译:基于协作收益和风险的大规模定制供应链中合作者选择和任务分配的调度优化

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摘要

How to deal with the contradiction between mass production effects and customised demand is the key problem of mass customisation (MC). With the development of supply chain management, we can probe a new way to solve this problem through the excellent character of supply chain scheduling (SCS). However, SCS in MC has special characters, mainly reflected in the random information of customer orders and the outstanding collaborative benefits and risks which can cause many complicated contradictions in operation. Based on earlier work about solving these contradictions, this paper introduces the collaborative benefit and risk analysis into scheduling and emphasises it not only for short-term but also for long-term collaboration. A dynamic and multi-objective optimisation model and an algorithm are set up for the scheduling optimisation of co-operator selection and task allocation. The model and algorithm not only reflect the operating requirements for the scheduling selection process in MC, but also reflect the thought of solving the key problem in MC and give consideration to the collaborative benefits and risks. The application feasibility of the model and algorithm are ultimately validated through an application case study.
机译:如何应对量产效应和定制需求之间的矛盾是大规模定制(MC)的关键问题。随着供应链管理的发展,我们可以通过供应链调度(SCS)的出色特性探索解决这一问题的新方法。但是,MC中的SCS具有特殊性,主要体现在客户订单的随机信息以及突出的协作收益和风险中,这可能会导致许多复杂的操作矛盾。在解决这些矛盾的早期工作的基础上,本文将协作收益和风险分析引入到计划中,并且不仅针对短期协作,而且还针对长期协作进行强调。建立了合作伙伴选择和任务分配调度优化的动态多目标优化模型和算法。该模型和算法不仅反映了MC中调度选择过程的操作要求,而且反映了解决MC中关键问题的思想,并考虑了协同收益和风险。该模型和算法的应用可行性最终通过一个应用案例研究得到了验证。

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