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Software AG > 实例探究 > Army Expects to Save Millions Per Year with Better Demand Planning
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Army Expects to Save Millions Per Year with Better Demand Planning

技术
  • 分析与建模 - 过程分析
  • 应用基础设施与中间件 - API 集成与管理
  • 应用基础设施与中间件 - 数据交换与集成
适用行业
  • 国家安全与国防
适用功能
  • 物流运输
  • 采购
用例
  • 需求计划与预测
  • 预测性维护
  • 供应链可见性(SCV)
服务
  • 软件设计与工程服务
  • 系统集成
挑战
The Army of the U.K.’s Ministry of Defence was facing challenges with accurate equipment demand forecasting and costed activity planning due to disparate systems, a myriad of spreadsheets and information from different sources. This led to wrong stock levels, poor equipment utilization, conflicting requests for resources, unsighted but avoidable costs and expensive waste. It took an inordinate amount of time to collect and aggregate data for business use. Activities were often delayed, rearranged, re-scoped or cancelled when resources were already committed. The challenge was getting the right information at the right time.
关于客户
The Army of the U.K.’s Ministry of Defence defends the interests of the U.K., which consists of England, Wales, Scotland and Northern Ireland. This may involve service overseas as part of a North Atlantic Treaty Organization (NATO) force or any other multi-national deployment. Soldiers may also be deployed on United Nations operations and used to help in other emergencies. The Army also helped to secure the 2012 Olympic and Paralympic Games.
解决方案
To resolve this challenge, the MoD’s Defence Science and Technology Laboratory built a team under its Command Inform and Battle Management (CIBM) program to look at demand planning and forecasting known as Project JANUS. Software AG led the multi-vendor open consortium to deliver a proof-of-concept in only four months. The work package demonstrated how the Army’s strategic business objectives could be enabled by Commercial Off-The-Shelf (COTS) Business Process Management (BPM), Service-Oriented Architecture (SOA) and Master Data Management (MDM) technology to create trusted information flows, accurate activity planning and decision-making. The solution showed the ability to deliver a more effective management, governance and visibility of the demand-planning process, offering a multitude of benefits.
运营影响
  • Better understood costs and budget management
  • Improved ability to cope with current and anticipated staff reductions
  • Better utilization of equipment and training assets
数量效益
  • Estimated savings of millions per year
  • Reduced staff planning effort
  • Reduced storage costs

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