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Capacity investment and the value of operational flexibility in manufacturing systems with product blending

机译:带有产品混合的制造系统中的产能投资和运营灵活性的价值

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摘要

A distinct feature of process industries such as food, chemical and consumer packaged goods is the blending of intermediates into finished goods. In the context of such manufacturing systems the levels of different inputs that can be blended to process a final good define the range of flexibility. Likewise, the cost for using (blending) different inputs defines the mobility element of flexibility. In this paper, we investigate capacity investment and the value of flexibility in the presence of such product blending constraints. We are motivated by recent case studies of food manufacturers, in particular, those manufacturers that seek to increase flexibility via blending of intermediates. We analyse stochastic programs under demand uncertainty of such manufacturing systems. We provide analytical insights into trade-offs when range and mobility are interdependent. Our analytical work gives structural insights into subtle complementarity and substitution effects between dedicated and shared resources in the presence of blending. We analytically show that there is a degradation in the cost performance of such systems with an increase in correlation. We characterise the optimal blending fraction that balances the benefits of higher range with higher costs (lower mobility). Our numerical work shows that a moderate level of blending can significantly improve flexibility and that well-known guidelines for designing limited flexibility change in the presence of blending. For example, blending, even if optimally designed, weakens the appeal of chaining configurations. Overall our work guides resource configuration in industries where product blending is an integral part of the production process.
机译:食品,化学药品和消费品包装食品等加工行业的显着特征是将中间体混入成品中。在这样的制造系统的背景下,可以混合以处理最终商品的不同输入的水平定义了灵活性的范围。同样,使用(混合)不同输入的成本定义了灵活性的灵活性。在本文中,我们研究了在存在此类产品混合约束的情况下的产能投资和灵活性的价值。我们受到最近食品制造商案例研究的启发,特别是那些寻求通过混合中间体来提高灵活性的制造商。我们在这种制造系统的需求不确定性下分析随机程序。当范围和机动性相互依赖时,我们提供了权衡取舍的分析见解。我们的分析工作提供结构上的见解,以了解在存在混合的情况下专用资源和共享资源之间的细微互补性和替代效果。我们分析表明,这种系统的成本性能随着相关性的增加而降低。我们描述了最佳的混合比例,该平衡在较高范围和较高成本(较低移动性)之间取得了平衡。我们的数值研究表明,适度的混合可以显着提高柔韧性,而众所周知的准则是在存在混合时设计有限的柔韧性变化。例如,即使进行了最佳设计,混合也会削弱链接配置的吸引力。总体而言,我们的工作指导产品融合在生产过程中不可或缺的行业中的资源配置。

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