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Development of a tool for forecasting a warehouse facility footprint and enabling rapid scenario analysis

机译:开发用于预测仓库设施占地面积并实现快速情景分析的工具

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摘要

Companies in every industry, including both manufacturers and service providers, must make decisions about their operational footprint -the amount of building space required for business needs such as storing inventory and equipment and providing work areas for employees. Changes to the existing footprint often involve buying, building, expanding, leasing or selling facilities. These are long lead time decisions, making it critical to accurately forecast these needs far in advance. The problem is that many companies do not know what facility footprint requirements will be years from now. This thesis addresses the problem by investigating factors that drive space requirements and estimating trends, resulting in a five year space forecast. An approach is provided for quantifying a proactive outlook, thereby enabling more confident decisions regarding the operational footprint of the future. The thesis addresses how to adapt the forecast to create a valuable instrument that enables analysis of changing conditions and assumptions in a dynamic environment. -This provides the ability to easily and intuitively compare the outcome of multiple changes with one another. It also displays the capacity to perform analysis of complex multivariable scenarios. We explore in this thesis approaches for reducing facility size required to store inventory. These approaches include consolidation of warehouses, utilization of high bay storage and the identification and elimination of aging inventory. This research was conducted at Raytheon Company, a US-based defense contractor, with a focus on predicting warehouse space required to store inventory to support their manufacturing operations. However, these concepts apply to any situation where costly investments must be made to enable capacity to meet demand. This includes expansion or contraction of manufacturing plants, retail stores and office buildings. A proactive approach enables more insightful decisions about capital investment, construction plans and lease terms.
机译:每个行业的公司,包括制造商和服务提供商,都必须决定其运营足迹-业务需求(如存储库存和设备以及为员工提供工作区)所需的建筑空间量。现有占地面积的变化通常涉及购买,建造,扩展,租赁或出售设施。这些都是较长的交货期决策,因此至关重要的是要提前准确地预测这些需求。问题在于,许多公司不知道从现在起几年后将需要什么设施占地面积。本文通过调查驱动空间需求的因素并估算趋势来解决这个问题,从而得出了五年的空间预测。提供了一种量化前瞻性前景的方法,从而可以对未来的运营足迹做出更加自信的决策。本文探讨了如何调整预测以创建有价值的工具,从而能够分析动态环境中不断变化的条件和假设。 -这提供了轻松直观地比较多个更改结果的能力。它还显示了执行复杂多变量方案分析的能力。我们在本文中探索减少存储库存所需的设施规模的方法。这些方法包括合并仓库,利用高架仓库以及识别和消除陈旧库存。这项研究是在美国国防承包商雷神公司(Raytheon Company)进行的,重点是预测存储库存以支持其制造业务所需的仓库空间。但是,这些概念适用于必须进行昂贵的投资才能使能力满足需求的任何情况。这包括制造厂,零售店和办公楼的扩张或收缩。积极主动的方法可以使您对资本投资,建筑计划和租赁条款做出更明智的决策。

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