{"id":41585,"date":"2025-11-12T15:24:57","date_gmt":"2025-11-12T07:24:57","guid":{"rendered":"https:\/\/incit.org\/?p=41585"},"modified":"2025-11-12T15:41:18","modified_gmt":"2025-11-12T07:41:18","slug":"beyond-efficiency-how-ai-and-simulation-models-are-redefining-process-manufacturing-to-reduce-energy-cost-and-improve-yield","status":"publish","type":"post","link":"https:\/\/incit.org\/en_au\/newsroom\/beyond-efficiency-how-ai-and-simulation-models-are-redefining-process-manufacturing-to-reduce-energy-cost-and-improve-yield\/","title":{"rendered":"Beyond Efficiency: How AI and Simulation Models Are Redefining Process Manufacturing to Reduce Energy Cost and Improve Yield"},"content":{"rendered":"<p><img fetchpriority=\"high\" decoding=\"async\" class=\"size-large wp-image-41587 alignnone\" src=\"https:\/\/assets.incit.org\/wp-content\/uploads\/2025\/11\/12152319\/Web-Article-Banner-1024x512.png\" alt=\"\" width=\"800\" height=\"400\" srcset=\"https:\/\/assets.incit.org\/wp-content\/uploads\/2025\/11\/12152319\/Web-Article-Banner-1024x512.png 1024w, https:\/\/assets.incit.org\/wp-content\/uploads\/2025\/11\/12152319\/Web-Article-Banner-300x150.png 300w, https:\/\/assets.incit.org\/wp-content\/uploads\/2025\/11\/12152319\/Web-Article-Banner-768x384.png 768w, https:\/\/assets.incit.org\/wp-content\/uploads\/2025\/11\/12152319\/Web-Article-Banner-18x9.png 18w, https:\/\/assets.incit.org\/wp-content\/uploads\/2025\/11\/12152319\/Web-Article-Banner.png 1200w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>In today\u2019s fast-evolving process manufacturing landscape, efficiency isn\u2019t just an advantage; it\u2019s a survival strategy. Across the chemical and pharmaceutical sectors, rising energy prices, variable raw-material quality, and increasing process complexity are testing even the most experienced engineers. As a result, plants lose millions each year, troubleshooting avoidable inefficiencies and chasing yield losses that could have been prevented. The problem lies in how optimisation has traditionally been done <em>reactively<\/em>, after performance drops, rather than <em>proactively<\/em>, before inefficiencies arise.<\/p>\n<p>At Aleph Technologies, we believe <strong>the future of manufacturing lies in turning process data into foresight<\/strong>. Through advanced virtual simulation models and proprietary AI, Aleph recreates real manufacturing environments in a digital space, mirroring every reaction, unit operation, and material flow. Inside this environment, our AI runs <strong>thousands of \u201cwhat-if\u201d scenarios<\/strong> to explore how small changes in temperature, pressure, or feed flow could improve performance.<\/p>\n<p>This simulation-driven approach empowers engineers to uncover the most energy-efficient and high-yield operating conditions <em>before<\/em> making any real-world adjustments. The result is <strong>measurable reductions in energy costs, improved product consistency, and fewer unplanned disruptions<\/strong>.<\/p>\n<p>Join <strong>Suwira Teo<\/strong> and <strong>Dr. Sushant Garud<\/strong>, Co-Founders of Aleph Technologies, as they explain how manufacturers are using simulation-driven AI to move from reactive troubleshooting to proactive optimisation\u2014achieving tangible gains in performance, reliability, and profitability.<\/p>\n<p><strong>What to Expect from This Webinar<\/strong><\/p>\n<p>This session will provide valuable insights on:<\/p>\n<ul>\n<li>Why conventional optimisation limits plant performance, and how simulation-driven AI changes that dynamic.<\/li>\n<li>How virtual models predict the most energy-efficient and high-yield operating conditions.<\/li>\n<li>How real-world plants have reduced costs, improved output quality, and enhanced decision-making accuracy.<\/li>\n<li>Practical steps to bring simulation-driven AI into your facility.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Why Attend?<\/strong><\/p>\n<ul>\n<li>Shift from reactive problem-solving to proactive, data-driven optimisation. Learn how AI and simulation models can help identify performance risks before they affect yield or energy use.<\/li>\n<li>Discover how to combine physical process simulation with AI-driven insights to achieve predictive optimisation in process manufacturing.<\/li>\n<li>Gain hands-on understanding of how Aleph Omega\u2122 enables virtual testing of thousands of \u201cwhat-if\u201d scenarios to determine optimal operating conditions without disrupting live production.<\/li>\n<li>Explore how predictive analytics can enhance decision-making, improve energy efficiency, and stabilise production performance.<\/li>\n<li>Connect with Aleph Technologies\u2019 experts and learn how to apply AI as a decision-support tool in your operations.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Webinar Details:<\/strong><\/p>\n<ul>\n<li>Date: November 21, 2025 (Friday)<\/li>\n<li>Time: 10:30am \u2013 11:15am SGT<\/li>\n<li>Location: Online<\/li>\n<li>Register here:\u00a0<a href=\"http:\/\/tinyurl.com\/incitxaleph\" target=\"_blank\" rel=\"noopener\">http:\/\/tinyurl.com\/incitxaleph<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Register Now<\/strong><\/p>\n<p>Process manufacturing is highly sensitive to variability: Small changes in feed quality, conditions, or equipment can cause major efficiency and yield losses. This session is designed for <strong>INCIT-Certified Assessors<\/strong>, <strong>process engineers<\/strong>, <strong>plant managers<\/strong>, <strong>manufacturing leaders<\/strong>, and <strong>digital transformation professionals<\/strong> seeking to move from reactive troubleshooting to predictive optimisation.<\/p>\n<p><strong>Consultants, system integrators, and technology leaders<\/strong> will gain insight into how simulation-driven AI can integrate with existing systems to deliver data-backed performance improvements, while <strong>operational excellence teams and solution providers<\/strong> will see how predictive models enhance decision-making and drive consistent, measurable results.<\/p>\n<p>By attending, you\u2019ll discover how simulation and AI act as a process co-pilot\u2014helping you anticipate problems, optimise setpoints, and operate more efficiently and reliably.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>About Aleph Technologies<\/strong><\/p>\n<p>Aleph Technologies is a Singapore-based AI company helping process manufacturers optimise complex operations through its <strong>Aleph Omega\u2122<\/strong> platform. By combining AI, virtual simulation models, and domain expertise in chemistry and thermodynamics, Aleph enables manufacturers to identify performance gaps, simulate optimal conditions, and make real-time decisions that deliver greater efficiency, reliability, and profitability.<\/p>\n<p>For more details and updates, follow our announcement on LinkedIn\u00a0<a href=\"https:\/\/www.linkedin.com\/company\/international-centre-for-industrial-transformation-ltd\" target=\"_blank\" rel=\"noopener\">here<\/a><\/p>\n<p>For collaboration &amp; further enquiries, please contact\u00a0<a href=\"mailto:contact@incit.org\">contact@incit.org<\/a>\u00a0or Ask\u00a0<a href=\"https:\/\/incit.org\/en_au\/contact-us\/\">IC4IT<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>In today\u2019s fast-evolving process manufacturing landscape, efficiency isn\u2019t just an advantage; it\u2019s a survival strategy. Across the chemical and pharmaceutical sectors, rising energy prices, variable raw-material quality, and increasing process complexity are testing even the most experienced engineers. As a result, plants lose millions each year, troubleshooting avoidable inefficiencies and chasing yield losses that could [&hellip;]<\/p>","protected":false},"author":1,"featured_media":41587,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[18],"tags":[309,298,314,47,300,313,310,311,312],"class_list":["post-41585","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-newsroom","tag-alephtechnologies","tag-digitaltransformation","tag-futureofmanufacturing","tag-incit","tag-industry40","tag-operationalexcellence","tag-predictiveoptimisation","tag-processmanufacturing","tag-simulationdrivenai"],"acf":{"featured_post":true},"_links":{"self":[{"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/posts\/41585","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/comments?post=41585"}],"version-history":[{"count":7,"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/posts\/41585\/revisions"}],"predecessor-version":[{"id":41594,"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/posts\/41585\/revisions\/41594"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/media\/41587"}],"wp:attachment":[{"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/media?parent=41585"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/categories?post=41585"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/incit.org\/en_au\/wp-json\/wp\/v2\/tags?post=41585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}