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Optimization of Sales and Operations Planning at Shell Chemicals Europe

机译:贝壳化学品欧洲销售和运营规划优化

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In the chemical industry, planning and scheduling are labor-intensive, complex, rolling processes. Interdependent decisions have to be made around different stages within the supply chain (purchases, production, distribution, exchanges, storage levels, and sales). In taking these decisions the overall enterprise margin needs to be maximized across the global supply chain. To support making these decisions the chemicals supply chain has been modeled using GMOS/NetSim, an AIMMS-based network optimization tool jointly developed by Shell Global Solutions andORTEC.Years of extensive collaborationwith various customers have made GMOS/NetSim a proven tool for strategic supply chain studies. For this project a modulewas developed to calculate accumulated costs/margins throughout the supply chain. The outcomes are used to do detailed margin analyses. The key challenge was to integrate the model into themonthly S&OPat SCE. Input data needs to be obtained from 15+ people around the world from various fields of expertise on a regular basis, as market conditions constantly change. Moreover, actual data is used for model validation purposes and margin analyses for past months. The key outcomes from the optimization are shared with the user community twice every month. The main benefit of this project is that we are able to establish a unified global base plan and a unified approach for fact-based decision making. The complex mathematical model behind this approach includes a great level of detail reflecting reality in everyday SCE business. This improves both the quality and speed of business decisions at 3 months (S&OP) and multi-year (business plan) horizons across the global supply chain.
机译:在化学工业中,规划和调度是劳动密集型,复杂,滚动的过程。必须在供应链内的不同阶段进行相互依存的决策(购买,生产,分销,交换,存储水平和销售)。在采取这些决定时,整体企业利润需要在全球供应链中最大化。为了支持这些决策,化学品供应链已经使用GMOS / Netsim建模,由Shell Global Solutions Andortec联合开发的基于AIMMS的网络优化工具,由Shell Global Solutions Andortec。各种客户的广泛协作,各种客户制造了Gmos / Netsim的战略供应链的成熟工具学习。对于该项目,开发的模型用于计算整个供应链中的累积成本/边距。结果用于进行详细的保证金分析。关键挑战是将模型集成到OPONLY S&OPAT SCE中。随着市场条件不断变化,需要从世界各地的15个以上的世界各地从世界各地从世界各地从世界各地获得的投入数据。此外,实际数据用于过去几个月的模型验证目的和边距分析。优化的关键结果每月与用户社区共享两次。该项目的主要利益是,我们能够建立一个统一的全球基础计划和基于事实的决策的统一方法。这种方法背后的复杂数学模型包括在日常SCE业务中反映现实的大量细节。这提高了全球供应链3个月(S&OP)和多年(商业计划)视野的业务决策的质量和速度。

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