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首页> 外文期刊>International Journal of Production Research >Why do nonlinearities matter? The repercussions of linear assumptions on the dynamic behaviour of assemble-to-order systems
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Why do nonlinearities matter? The repercussions of linear assumptions on the dynamic behaviour of assemble-to-order systems

机译：为什么非线性重要？线性假设对组装到订单系统的动态行为的影响

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摘要

The hybrid assembly-to-order (ATO) supply chain, combining make-to-stock and make-to-order (MTS-MTO) production, separated by a customer order decoupling point (CODP), is well recognised in many sectors. Based on the well-established Inventory and Order Based Production Control Systems (the IOBPCS family), we develop a hybrid ATO system dynamics model and analytically study the impact of nonlinearities on its dynamic performance. Nonlinearities play an important, sometimes even a dominant, role in influencing the dynamic performance of supply chain systems. However, most IOBPCS based analytical studies assume supply chain systems are completely linear and thereby greatly limit the applicability of published results, making it difficult to fully explain and describe oscillations caused by internal factors. We address this gap by analytically exploring the non-negative order and capacity constraint nonlinearities present in an ATO system. By adopting nonlinear control engineering and simulation approaches, we reveal that, depending on the mean and amplitude of the demand, the non-negative order and capacity constraints in the ATO system may occur and their significant impact on system dynamics performance should be carefully considered. Failing to monitor non-negative order constraints may underestimate the mean level of inventory and overestimate the inventory recovery speed. Sub-assemblers may suffer increased inventory cost (i.e. the consequence of varying inventory levels and recovery speed) if capacity and non-negative order constraints are not considered at their production site. Future research should consider the optimal trade-off design between CODP inventory and capacity and the exploration of delivery lead-time dynamics.
机译：通过客户订单解耦点（CODP）分开的混合组装有序（ATO）供应链，组合的股票和按订单（MTS-MTO）的生产，在许多部门中得到很好的认可。基于良好的库存和基于订单的生产控制系统（IOBPCS系列），我们开发了一个混合ATO系统动力学模型，并分析了非线性对动态性能的影响。非线性在影响供应链系统的动态性能方面发挥着重要的，有时甚至是一个主导的作用。然而，基于IOBPC的分析研究假设供应链系统是完全线性的，从而大大限制了公布结果的适用性，使得难以充分解释和描述由内部因素引起的振荡。我们通过分析探索ATO系统中存在的非负秩序和容量约束非线性来解决这个差距。通过采用非线性控制工程和模拟方法，我们揭示了，根据需求的平均值和幅度，可能会发生ATO系统中的非负阶和容量约束，并且应仔细考虑它们对系统动力学性能的显着影响。未能监控非负订单约束可能低估库存的平均水平并高估库存恢复速度。如果在其生产现场不考虑容量和非负面订单限制，则子组件可能会增加库存成本（即，库存水平和恢复速度的后果）。未来的研究应考虑CODP库存和能力之间的最佳权衡设计以及交付延期动态的探索。

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