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When it comes to today’s manufacturing businesses, most of the low-hanging fruit in improving traditional processes or legacy systems has been picked. Many of these improvements involve leveraging cutting-edge technology to its fullest, as well as defining common goals and aligning processes across multiple plants and business units in order to meet enterprise-level goals.
This week's article compilation includes noteworthy discussions on product lifecycle management software (PLM), the increase in corporate sustainability reporting, best practices for implementing manufacturing operations management (MOM), and material sustainability in advanced manufacturing.
This article compliation provides insight into the latest advancements occuring within the industrial technology space. Topics being discussed include PLM, the relationship between enterprise quality management software and big data, quality management failures in the automotive industry, and more.
This LNS Research article discusses recently published industrial content. The round-up for this week includes topics such as advancements in offshore wind energy, ROI of big data for manufacturers, product lifecycle management (PLM) as it relates to quality, and developing centralized energy management.
In our previous blog, we discussed the relationship between Product Lifecycle Management (PLM) and the cost of quality. In this blog, we’ll take a look into how PLM is now, more than ever, being used to improve quality management across processes. Moreover, we’ll discuss how interoperability between traditional PLM and Quality Management System capabilities moves an organization towards a closed-loop quality management system.
We’ve been writing a lot about the benefits of increasing communication and collaboration by breaking down traditional functional barriers in manufacturing. When searching for the solution to a problem, collective knowledge is almost always the better choice. Manufacturing software and IT advancements are highlighting the fact that compartmentalizing information, or keeping it in what many refer to as silos, is inefficient and often results in sub-optimal decisions.
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