Syngenta Uses a Cover Optimizer to Determine Production Volumes for Its European Seed Supply Chain

Peter Comhaire, Felix Papier
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引用次数: 7

Abstract

The European seed business of Syngenta relies on its supply chain to supply seed products to the different European markets, which led to more than 1.2 billion USD revenues in 2013. The seed supply chain is, however, exposed to a high level of uncertainty – from the demand side as well as from the supply side. Determining optimal production volumes in a highly volatile environment and more than one year before the sales period is not only a complex business decision but also one which strongly affects the company’s profitability through lost sales and unsold supply. In order to better handle the production volume planning, Syngenta has developed a planning tool which determines optimal production volumes by taking the different levels of uncertainty into account. We report on this tool, the impact it has achieved, its integration into the planning process at Syngenta, and its technical design. In 2013, its first year of application, the production optimization tool has already avoided approximately 1.5 million USD in supply discards and has led Syngenta to revise the way how it handles uncertainty in its supply chain planning.
先正达使用覆盖优化器来确定其欧洲种子供应链的产量
先正达的欧洲种子业务依靠其供应链向不同的欧洲市场提供种子产品,2013年的收入超过12亿美元。然而,种子供应链面临着来自需求侧和供应侧的高度不确定性。在一个高度不稳定的环境中,在销售期前一年多的时间里确定最佳产量不仅是一个复杂的商业决策,而且还会通过销售损失和未售出的供应严重影响公司的盈利能力。为了更好地处理产量计划,先正达开发了一种计划工具,通过考虑不同程度的不确定性来确定最佳产量。我们报道了这个工具,它所取得的影响,它融入先正达的规划过程,以及它的技术设计。在2013年,即该生产优化工具应用的第一年,该工具已经避免了大约150万美元的供应浪费,并促使先正达公司修改了其处理供应链规划不确定性的方式。
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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