• <nav id="urrag"></nav><dd id="urrag"></dd>
    1. <wbr id="urrag"><p id="urrag"></p></wbr>
        <nav id="urrag"></nav>
      1. <nav id="urrag"><code id="urrag"><meter id="urrag"></meter></code></nav><form id="urrag"><legend id="urrag"></legend></form>
      2. APPROACH

        To address this, the team at Tredence developed an analytically robust approach with the following specifications:

        • Identified primary drivers among the selected machine variables using ML variable reduction techniques
        • Driver models to understand key influential variables and determine the energy consumption profile
        • Identified the right combination of drivers under the given production constraints – time, quantity and quality
        • Optimization engine to provide the machine settings for a given production plan


        • The learnings will be used across similar machines to create operational guidelines for reducing energy consumption


        • We were able to achieve a ~5% reduction in energy consumption across major machines

        亚洲 欧洲 日韩 综合在线