实例探究 > SYSPRO Case Study: Green-Tek

SYSPRO Case Study: Green-Tek

公司规模
11-200
地区
  • America
国家
  • United States
产品
  • SYSPRO ERP
  • SYSPRO Material Yield System
  • Great Plains Dynamics
  • MAX ERP
技术栈
  • ERP
  • CRM
  • ODBC
  • MRP
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
  • Environmental Impact Reduction
  • Productivity Improvements
  • Waste Reduction
技术
  • 功能应用 - 计算机化维护管理系统 (CMMS)
  • 功能应用 - 企业资源规划系统 (ERP)
  • 功能应用 - 库存管理系统
  • 功能应用 - 产品数据管理系统
适用行业
  • 建筑与基础设施
  • 包装
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 库存管理
  • 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
Green-Tek, Inc., based in Edgerton, WI, is a privately-owned company specializing in the conversion, fabrication, and distribution of packaging materials, greenhouse coverings, thermal glazing, and materials handling products. The company benefits from its central US location, which provides access to a skilled labor force and efficient shipping lanes across North America. Green-Tek's product offerings include polycarbonate multi-wall and corrugated sheeting, shade cloth, and poly films with UV protection capabilities. These products are cut to order based on customer specifications, serving a diverse customer base that includes distributors and greenhouse growers. The company is led by President and co-owner Paul Jacobson, who is actively involved in sales alongside in-house sales representatives and a vice president of sales. Green-Tek is committed to customer service, with a full-time trouble shooter dedicated to tracking orders and ensuring on-time deliveries.
挑战
Green-Tek faced several challenges with their existing ERP software, including cumbersome sales procedures, lost sales history, stagnant inventory, limited visibility into processes, and wasted scrap materials. The company had been using a combination of MAX ERP software and Great Plains Dynamics since 2000, but these systems were unyielding and failed to maintain order histories. This required re-orders to be treated as new orders, leading to inefficiencies and increased scrap. A re-implementation of the MAX software in 2002 did not produce the desired results, prompting Green-Tek to search for a new solution.
解决方案
After an intensive search for a new ERP solution, Green-Tek selected SYSPRO ERP due to its extensive inventory capabilities, particularly the SYSPRO Material Yield System. This system is designed to reclaim remnants from larger cuts and return them to inventory, allowing customer-specific dimensional requirements to be matched against existing inventory. The SYSPRO Material Yield System was initially developed for Tri Star Plastics, which faced a similar remnant problem. The system's ability to maximize the use of remnants significantly reduces the amount of scrap relegated to landfills, providing both economic and environmental benefits. Green-Tek implemented the SYSPRO software, including the Material Yield System, on January 1, 2004. The software is now utilized by 34 concurrent users who leverage SYSPRO's accounting, MRP, customer relationship management, and ODBC solutions to enhance operational efficiencies. The Material Yield System performs automatic yield calculations, enabling faster order turnaround and efficient remnant management.
运营影响
  • The SYSPRO Material Yield System has made Green-Tek much more efficient, saving money on both the production and warehouse sides.
  • The system has enabled the sales team to see things faster and clearer, saving time on paperwork processing.
  • The automatic yield calculations performed by the Material Yield System allow for quicker order turnaround.
  • The system determines if remnants are of sufficient size to return to stock, creating new part numbers and values for inventory management.
  • The implementation of SYSPRO ERP has improved customer service, streamlined inventory management, and provided greater visibility into sales history.
数量效益
  • Green-Tek's inventory now includes remnants, reducing the amount of scrap and waste.
  • The SYSPRO Material Yield System has enabled faster delivery times for customer orders.

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