为南非食品银行提供决策支持

ORiON Pub Date : 2014-06-03 DOI:10.5784/30-1-142
Nm Watson, T. Stewart, L. Scott
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引用次数: 0

摘要

本文采用了一种“软硬兼施”的OR方法来帮助非营利组织南非食品银行(FBSA)在分配领域做出决策,该组织代表了南非最大的饥饿救济网络。使用了两个问题结构工具,因果映射和根定义(rd)。因果映射用于确定FBSA中有用的研究领域,并从组织的目标方面获得对组织的更深入了解,从而更好地了解做出决策的背景。使用根定义是为了更好地理解开普敦仓库分配系统中的“决策问题”。建立了模拟日常分配决策的仿真模型,其最终目标是通过制定一系列分配策略来辅助决策。决策支持系统(DSS)的发展,以帮助FBSA管理他们的机构数据库,自动化一些日常分配决策和模拟分配政策。
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Decision support for Foodbank South Africa
This paper employs a combined 'soft-hard' OR approach to aid decision making in the area of allocation at a not-for-profit organization, Foodbank South Africa (FBSA), that represents the largest hunger-relief network in South Africa. Two problem-structuring tools, causal mapping and root definitions (RDs) are utilized. Causal mapping is used to identify areas for useful research within FBSA, and gain a greater understanding of the organization in terms of its goals and consequently a good appreciation of the context in which decisions are made. Root definitions are employed to acquire a better understanding of the 'decision-issues' within the allocation system at the Cape Town warehouse. A simulation model is developed to imitate daily allocation decisions, with the end-objective of assisting decision-making by developing a range of allocation policies. A decision support system (DSS) is developed to help FBSA manage their agency database, automate some of the daily allocation decisions and simulate allocation policies.
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