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New Belgium Brewing Improves Performance and Meets Customer Demands
技术
- 功能应用 - 制造执行系统 (MES)
适用行业
- 食品与饮料
适用功能
- 离散制造
- 质量保证
用例
- 预测性维护
- 自动化制造系统
服务
- 系统集成
- 软件设计与工程服务
挑战
New Belgium Brewing, the third largest craft brewery and eighth largest overall brewery in the U.S., was facing challenges in meeting the growing demand for its products. The brewery lacked real-time information on unscheduled downtimes at various equipment areas, which caused production slowdowns. The production staff were continually reacting to unscheduled downtime at equipment areas. Management needed to address gaps in methods and processes to drive improvements. The bottling operation lacked the ability to predict capabilities to effectively commit brewery staff to specific production goals.
关于客户
New Belgium Brewing Co. is a multi-million dollar success story in the American craft brewing industry. The company, which started as a beer brewing hobby, has grown to become the nation's third largest craft brewery and eighth largest overall brewery since 2012. The company produces some of the world's most popular craft brews, including Fat Tire and a multitude of other popular IPA, Pilsner, wheat beers and ales. The company is based in Fort Collins, Colorado, USA.
解决方案
New Belgium Brewing implemented a series of manufacturing automation initiatives over the last five years to streamline and improve its brewing and bottling facility. The company expanded its current Wonderware by AVEVA automation software capabilities to take advantage of its full Manufacturing Execution System capabilities. With the technical assistance of Apex Manufacturing Solutions, New Belgium achieved record levels of efficiencies in scheduled and non-scheduled downtime throughout its operations with the implementation of AVEVA’s Manufacturing Execution System software. The software provided greater visibility and a true understanding of actual production capacity for predictable order fulfillment. The brewery’s existing systems provided huge amounts of data, but with no context. The management team needed a way to effectively collect and analyse that data in order to turn it into actionable information.
运营影响
数量效益
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