{"id":200795,"date":"2026-03-31T02:45:04","date_gmt":"2026-03-31T06:45:04","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/03\/31\/japans-arum-turns-craftsmanship-into-scalable-ai-for-precision-manufacturing\/"},"modified":"2026-03-31T02:45:18","modified_gmt":"2026-03-31T06:45:18","slug":"japans-arum-turns-craftsmanship-into-scalable-ai-for-precision-manufacturing","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/03\/31\/japans-arum-turns-craftsmanship-into-scalable-ai-for-precision-manufacturing\/","title":{"rendered":"Japan\u2019s ARUM turns craftsmanship into scalable AI for precision manufacturing"},"content":{"rendered":"<p><a href=\"https:\/\/news.microsoft.com\/source\/2026\/03\/24\/japans-arum-turns-craftsmanship-into-scalable-ai-for-precision-manufacturing\/\">Japan\u2019s ARUM turns craftsmanship into scalable AI for precision manufacturing<\/a><\/p>\n<p><a href=\"https:\/\/news.microsoft.com\/source\/2026\/03\/24\/japans-arum-turns-craftsmanship-into-scalable-ai-for-precision-manufacturing\/\">https:\/\/news.microsoft.com\/source\/2026\/03\/24\/japans-arum-turns-craftsmanship-into-scalable-ai-for-precision-manufacturing\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-03-24 02:19:45<\/a><\/p>\n<p>Source Domain: <a href=\"news.microsoft.com\">news.microsoft.com<\/a><\/p>\n<p>ARUM, a leading Japanese company in precision part manufacturing, is leveraging AI technologies to tackle the chronic labor shortage affecting Japan\u2019s manufacturing sector. As the demand for skilled machinists sharply declines, ARUM has enhanced its automation technology by developing ARUMCODE and TTMC to address this issue. Led by its CEO, Takayuki Hirayama, ARUM has created ARUMCODE, an AI-driven software that translates craftsmanship into a series of automated production steps, significantly reducing the time to manufacture components compared to traditional methods. In tandem, ARUM&#8217;s TTMC Type F machines execute these instructions with minimal human involvement, enhancing efficiency, reducing costs, and enabling faster production cycles. ARUM\u2019s pioneering work can streamline the production of specialized and highly customized \u201chigh-mix, low-volume\u201d precision parts crucial for sectors such as semiconductors, robotics, and optics. This innovative approach also helps maintain manufacturing operations amid the growing labor deficit in Japan.<\/p>\n<p>Key Points:<br \/>\n&#8211; ARUM developed AI-driven solutions like ARUMCODE and TTMC to address labor shortages in Japan\u2019s precision manufacturing sector.<br \/>\n&#8211; ARUMCODE automates the conversion of CAD drawings into CAM instructions, expediting the manufacturing process.<br \/>\n&#8211; TTMC Type F physically executes these automated instructions with minimal human intervention, improving efficiency.<br \/>\n&#8211; The combination of ARUMCODE and TTMC has fully automated 12-step metal processing production and made it operable by less-skilled workers.<br \/>\n&#8211; ARUM&#8217;s AI solutions offer significant benefits for high-mix, low-volume precision part producers in competitive manufacturing environments.<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Japan\u2019s ARUM turns craftsmanship into scalable AI for precision manufacturing https:\/\/news.microsoft.com\/source\/2026\/03\/24\/japans-arum-turns-craftsmanship-into-scalable-ai-for-precision-manufacturing\/ Publish Date: 2026-03-24 02:19:45&#8230;<\/p>\n","protected":false},"author":1,"featured_media":200796,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/news.microsoft.com\/source\/asia\/wp-content\/uploads\/2026\/03\/Tetsuya-Kitanishi-1-scaled.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-200795","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/200795"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=200795"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/200795\/revisions"}],"predecessor-version":[{"id":200797,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/200795\/revisions\/200797"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/200796"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=200795"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=200795"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=200795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}