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Consolidated Container Obtains a Dramatic Decrease in Cost of Goods Sold Within Three Months of Deploying GainSeeker Suite
技术
- 功能应用 - 制造执行系统 (MES)
- 分析与建模 - 预测分析
适用行业
- 包装
- 消费品
适用功能
- 质量保证
- 商业运营
用例
- 预测性维护
- 工厂可见化与智能化
- 过程控制与优化
服务
- 系统集成
- 软件设计与工程服务
挑战
Consolidated Container Company (CCC) faced significant challenges due to outdated legacy information systems and a lack of standardized quality data systems across its 59 manufacturing facilities. This inconsistency led to difficulties in obtaining accurate, actionable quality information, with some plants relying on archaic technology and paper-based workflows. The lack of a shared data platform made it hard for leaders to gain visibility into plant operations, resulting in quality issues that impacted customer satisfaction. The urgency to address these challenges increased when new ownership and senior leadership, experienced in industries with real-time Statistical Process Control data, took over in 2012. They demanded corporate-wide visibility into quality data, necessitating an evolution in CCC's quality data systems.
关于客户
Consolidated Container Company (CCC) is a leading supplier of rigid plastic packaging in North America, operating 59 manufacturing facilities and employing 2,300 people. The company produces a wide range of plastic packaging solutions for various industries, including consumer goods and packaging. Despite its extensive operations, CCC faced challenges with outdated legacy systems and a lack of standardized quality data systems across its facilities. This inconsistency in technology and data management hindered the company's ability to maintain high-quality standards and meet customer expectations. The company's new leadership, with a background in industries that prioritize real-time data visibility, recognized the need for a comprehensive solution to improve quality control and operational efficiency.
解决方案
Matt Simpson, Corporate Quality Systems Manager at CCC, was tasked with finding a single system to deploy across the company to improve quality control and operational efficiency. After developing a list of prioritized features and functionalities, Simpson identified ease of use for operators, data analysis capabilities, and system flexibility as top priorities. He surveyed the plants to determine the software being used for Statistical Process Control and identified three potential solutions, including GainSeeker Suite. GainSeeker Suite emerged as the clear front runner due to its superior ease of use, data analysis capabilities, and flexibility. The system allowed operators to easily collect and analyze data, and its customization options enabled it to adapt to various workflows. Simpson and his team piloted the solution in one plant, using live data from CCC's production lines, and found that GainSeeker Suite met their needs effectively.
运营影响
数量效益
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