实例探究 > SYSPRO Case Study

SYSPRO Case Study

公司规模
SME
地区
  • America
国家
  • United States
产品
  • SYSPRO Software
  • SYSPRO Forecasting Module
  • RealWorld Database Package
技术栈
  • ERP
  • Forecasting Algorithms
  • Inventory Optimization
实施规模
  • Enterprise-wide Deployment
影响指标
  • Productivity Improvements
  • Customer Satisfaction
  • Cost Savings
技术
  • 功能应用 - 企业资源规划系统 (ERP)
  • 功能应用 - 库存管理系统
  • 分析与建模 - 预测分析
适用行业
  • 汽车
适用功能
  • 仓库和库存管理
  • 质量保证
  • 商业运营
用例
  • 库存管理
  • 补货预测
  • 过程控制与优化
服务
  • 软件设计与工程服务
  • 系统集成
关于客户
XRP, based in South Gate, California, manufactures high performance fittings and adapters for the racing market. According to Jarrod Barker, XRP IT Manager, “XRP’s products consist of fluid transfer components that transport fuels and oils from point ‘a’ to point ‘b’ in auto, boat and other racing engines.” Founded in 1989, XRP has steadily grown thanks to an outstanding reputation for price competitiveness and “aerospace type” product quality. Today, the company fills an average of 300 orders per month. While some are one time only orders, the bulk represents repeat business from US and international dealers.
挑战
The company had been utilizing a database package from RealWorld, and while it served basic needs, it lacked a manufacturing module with inventory tracking capabilities. With more than 5,000 individual part numbers in stock, forecasting and inventory control are vitally important to XRP’s ability to fill orders on a timely basis. In addition, to inventory capabilities, XRP had to take cost into consideration. As a relatively small business of just over 30 employees, the company needed to go with an ERP solution that could bring world-class results for the long run but within a small-business budget.
解决方案
After an extensive software search that lasted 18 months, XRP settled on SYSPRO software in 2002. “We liked the whole package,” says Barker. “SYSPRO was the best fit…It offered a lot.” He also liked the fact that SYSPRO USA was headquartered just “down the road” in Costa Mesa. Today, more than half of the full-time employees at XRP use SYSPRO software on a full-time basis. When, in late 2005, SYSPRO announced a new Forecasting module as part of its new Inventory Optimization solution, XRP was one of the first companies to go for the module. The SYSPRO Forecasting module performs forecasting at the item/warehouse level as well as aggregations of forecasting to higher levels as defined by Groupings and Families. It enables the use of a variety of forecasting algorithms, including predefined algorithms or a competition method where the system will use the mathematical formula best suited to an item’s historical sales. The SYSPRO Forecasting module takes into account seasonality and also removes outliers and anomalies. Module users have the ability to define calendars, forecast horizons, monthly or weekly time buckets and to override forecasts to accommodate market intelligence. The module stores three or more years of history and facilitates dynamic analyses with tabular and graphical reports.
运营影响
  • After using the SYSPRO Forecasting module, Barker gives it “two thumbs up.” “With our former software package, our inventory would often go negative. However, SYSPRO software has given us superlative inventory management, among many other pluses.” Barker explains that the make to stock company forecasts three months out, and here the SYSPRO Forecasting module plays a key role. “The module looks at past year sales, using a forecasting algorithm that factors in a growth figure of ten percent. It really works.”
  • Additional benefits that XRP reaps from its boosted inventory control are improved quality control and, thus, customer service. By having increased and accurate visibility into their inventory, XRP is able to better manage their strict quality control processes. In turn, the company is able to continue to provide customers with an exceptional product in a shorter time frame.
  • Summarizing XRP’s experience with SYSPRO, Barker simply says, “SYSPRO has enabled us to speed order turnaround by bringing greater efficiencies to order management, forecasting and the manufacturing process itself.”
数量效益
  • The company fills an average of 300 orders per month.
  • The forecasting algorithm factors in a growth figure of ten percent.

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