More and more companies are placing greater emphasis on maintenance and seeking help from vendors to boost the effectiveness of their efforts, as some recent major investment decisions demonstrate. Many automation companies now are benefiting by building up asset management services alongside process control capabilities.
Understanding how changing a work environment affects people can reduce accidents. Management of Change (MOC) has been one of the hardest of the PSM requirements for industry to master. Making matters worse, its rarely applied to people and organization changes. But there are proven approaches.
Author: Ian Nimmo, User Centered Design Services, LLC
Classic distributed control systems typically remain only in high-availability refining and power applications, but their strategies and capabilities persist in descendants and todays sophisticated networks.
More attention to steam systems and trap monitoring provides big benefits. At most chemical plants, plant management and operators face increasing pressures to improve the energy efficiency of their processes, so they should see how they can save on steam.
Senior Editor Dirk Willard discusses Shigeo Shingo's take on mistake-proofing, or Poke Yoke, if you speak Japanese. The practice suggests the following devices: eliminate redesign, facilitate guide, mitigate lessen the damage caused by the error, or flag identify the error.
Guidance for chemical manufacturers, processors, and distributors about Section 8(e) of the Toxic Substances control act was issued on September 14, by the U.S. Environmental Protection Agency (EPA). Chemical Processing's Regulatory Editor Lynn Bergeson discusses the new regulation.
End-of-life and other product stewardship initiatives will impact chemical plants. An agreement to lessen the environmental impact of chemicals production will have global ramifications. Meanwhile, European end-of-life directives on electrical and electronic equipment already are having a worldwide effect.
Things are changing at warp speed. Manufacturing companies are collecting large volumes of data from data systems but improvements are possible only if the data are analyzed and developed into useful business parameters.