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Reuse Optimization and Tipping-Point Resilience in Supply Chains

机译:供应链中的重用优化和临界点恢复力

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As systems are optimized, they can become more brittle and less resilient. A novel resilience index introduced in 2016 measures how close a system is to tipping points [1] and was shown to work on supply chain models in 2018 [2]. This paper expands on that research through assessing how well those methods work on real supply-chain systems through case studies in reuse optimization. The results show an interesting conflict between supply-chain reuse optimization and resilience. As a system is increasingly optimized through more efficient use and re-use of materials, its resilience decreases. This can be measured by the proximity of its resilience index to the expected tipping-point of the system. Past the tipping point, the available resources and production rates cannot meet demand. Discussion of the results explore how this resilience index can be used as an important factor in system optimizations, and the implications of these findings in the management of supply chains and other systems.
机译:随着系统的优化,它们可能会变得更脆弱且弹性降低。 2016年引入的一种新的弹性指数可衡量系统与临界点之间的距离[1],并在2018年被证明可用于供应链模型[2]。本文通过重用优化中的案例研究,通过评估这些方法在实际供应链系统中的运行情况,来扩展该研究。结果表明,供应链重用优化和弹性之间存在有趣的冲突。随着系统通过更有效地使用和重复使用材料而不断优化,其弹性降低了。这可以通过其弹性指数与系统预期的临界点的接近程度来衡量。超过临界点,可用资源和生产率无法满足需求。对结果的讨论探索了如何将此弹性指数用作系统优化的重要因素,以及这些发现对供应链和其他系统的管理的意义。

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