实例探究 > Vanguard Predictive Planning Case Study

Vanguard Predictive Planning Case Study

公司规模
1,000+
地区
  • America
国家
  • Costa Rica
  • United States
产品
  • Vanguard Predictive Planning
  • Vanguard Software’s Supply Planning module
技术栈
  • Statistical Methods
  • Dynamic Reporting Capability
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
技术
  • 分析与建模 - 预测分析
  • 功能应用 - 企业资源规划系统 (ERP)
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 医疗保健和医院
  • 生命科学
适用功能
  • 商业运营
  • 产品研发
用例
  • 需求计划与预测
  • 库存管理
  • 供应链可见性(SCV)
服务
  • 软件设计与工程服务
  • 系统集成
关于客户
MicroVention, a subsidiary of the Japanese Terumo Medical Corporation, develops devices and technologies that treat vascular diseases and associated complications, such as brain aneurysms. MicroVention has grown rapidly since being founded in 1997 and now sells products in more than 60 countries worldwide. The company continues to introduce new products including different types of stents, occlusion balloons, polymer coils, and drainage catheters. Based in Tustin, California, MicroVention has expanded its physical footprint to include manufacturing and administrative facilities in Santa Ana and Aliso Viejo, California, and in San Jose, Costa Rica.
挑战
By 2013, when MicroVention opened its manufacturing facility in Costa Rica, unit sales and product-line growth had already begun to outstrip management’s ability to meet global demand cost effectively. The reason was simple. MicroVention was operating with inadequate technology and outdated processes for forecasting demand and planning operations. Prior to August of that year, when MicroVention implemented Vanguard Predictive Planning, sales and operations planners had to hustle through manual processes for gathering data and preparing forecasts each month. These processes were not only labor intensive, but rife with guesswork, input error and formatting inconsistencies. The result was unreliable sales forecasts, which led to faulty demand planning, ill-timed production scheduling, and unsustainably high operating costs. The company was not only wasting valuable human resources on the compilation and management of spreadsheets, the output of those spreadsheets was difficult to interpret and unfit for critical planning purposes. The situation had become untenable.
解决方案
MicroVention needed a unified, enterprise-grade solution that could reduce forecast effort, increase forecast accuracy, and streamline operations to reduce production costs and maximize sales. To do that, they would need an automated system that could expand their forecast capability with best-in-class statistical methods. This would enable planners to spot growth trends, manage new product releases and product transitions, and understand product dependencies. Management chose Vanguard Software on a trial basis to see how well its business forecasting and planning platform could improve forecast accuracy while accommodating some unique custom requirements. The software handily captured all monthly historical data and auto-generated unprecedentedly accurate baseline forecasts. From there, users learned how easily they could make adjustments and overrides in the system workflow to fine-tune historical baselines. Adjustments are generally based on sales-team foreknowledge of buyer plans and marketplace activity. Users were also able to use the system’s dynamic reporting capability to analyze forecasts by revenue, unit, region, product family, and SKU. Demand planning and production scheduling improved markedly as a result. The company now looks to install Vanguard Software’s Supply Planning module, with the expectation of lowering inventory carrying costs by 15 to 20 percent within six months of implementation. Currently, MicroVention uses Vanguard Software globally to determine business trends, allocate resources, and prioritize capital investments.
运营影响
  • Implementing Vanguard Predictive Planning has yielded a positive net return on investment within one year.
  • The labor hours dedicated to forecasting preparation have decreased by 90%, allowing employees to focus on more strategic tasks.
  • The forecast production and reporting cycle has been reduced from weeks to mere minutes, significantly improving operational efficiency.
  • The accuracy of forecasts has increased by 28%, leading to better demand planning and production scheduling.
  • Order fulfillment has improved by 12%, enhancing customer satisfaction and operational reliability.
数量效益
  • One Year Payback - positive net return on investment
  • 90% decrease in labor hours dedicated to forecasting preparation
  • Reduction of forecast production and reporting cycled from weeks to minutes
  • 28% increase in forecast accuracy
  • 12% improvement in order fulfillment

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