Savigent Software, Inc., a leading provider of event-driven manufacturing operations management software, has been identified as a “Best-of-Breed MES Vendor” in the Market Guide for Manufacturing Execution Systems (MES) Software by Gartner, the world’s leading information technology research and advisory company. The Market Guide assesses the state of the MES market and makes recommendations for manufacturing executives pursuing the deployment of MES applications.
David Wicker, President and Chief Executive Officer of Savigent Software, stated, “At Savigent, we help our clients understand the big picture when it comes to automation – considering every detail from the plant floor through the supply chain, enabling better decision making, reducing errors and driving optimization. Our view of MES as a total enterprise solution rather than a plant-specific individual tool is recognized and highlighted in Gartner’s market guide.”
Implementation of the Savigent Software suite of products results in a manufacturing operation that is digitally connected from the manufacturing plant to the overall business enterprise systems. This Industrial Internet of Things (IIoT) connectivity enables access to meaningful data – including production data, supply chain data and quality data – to inform crucial business decisions.
Wicker continued, “Gartner’s guide details findings that we’ve seen with our own clients again and again: that a well-executed MES system dramatically improves manufacturing quality, increases visibility and enforces best practices across the entire network.”
The Gartner report defines MES as “a specialist class of production oriented software that manages, monitors and synchronizes the execution of realtime, physical processes involved in transforming raw materials into intermediate and/or finished goods. These systems coordinate this execution of work orders with production scheduling and enterprise level systems like enterprise resource planning (ERP) and product lifecycle management (PLM). MES applications also provide feedback on process performance, support component and material level traceability, genealogy and integration with process history, where required.”
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