最新博客信息

Our common industrial temptation is to focus on the “easy” engineering part of management systems while deferring the more difficult people part of incorporating the system into the daily work life. However, we need to give organization and workforce issues the same attention if we are to develop successful and sustainable manufacturing management systems.

The system needs to be easy to use and well enough embedded into company culture that it survives time and employee turnover.

Lagniappe may be a time honored tradition in New Orleans, but “give-away” (aka product overfill) is a major cost for food and other packaged consumer goods. Manufacturers are whipsawed between the economic drive to reduce package overfill and the risks of non-compliance with regulatory MAV standards and commercial contract specifications.

It is very easy to focus on the glittering façade while giving scant attention to whether the foundation is sound and the framing is true. The same happens when we look at manufacturing decision support tools such as analytics and graphics-based notifications and reporting. It is too easy to assume that the data has been properly collected and handled so that we can make the analysis we need.

Manufacturing needs timely information to support and drive operational decisions. Manufacturing Intelligence (MI) turns plant data into that usable knowledge and real-time decision support.

NWA supplies the analytics that drive much of the MI system, but the question remains, what is the system infrastructure required to support an effective MI system? During 2012 we will focus our webinars on what needs to be considered to support an effective MI program.