{"id":47147,"date":"2025-07-15T10:31:26","date_gmt":"2025-07-15T09:31:26","guid":{"rendered":"https:\/\/www.intelligentcio.com\/apac\/?p=47147"},"modified":"2025-08-06T15:15:43","modified_gmt":"2025-08-06T14:15:43","slug":"ana-and-hitachi-launch-ai-powered-flight-disruption-system-to-optimise-airline-operations","status":"publish","type":"post","link":"https:\/\/www.intelligentcio.com\/apac\/2025\/07\/15\/ana-and-hitachi-launch-ai-powered-flight-disruption-system-to-optimise-airline-operations\/","title":{"rendered":"ANA and Hitachi launch AI-powered flight disruption system to optimise airline operations"},"content":{"rendered":"\n<p><em>System enables rapid, optimal flight schedule revisions during disruptions.<\/em><\/p>\n\n\n\n<p>All Nippon Airways, in partnership with Hitachi, has developed a new system that can automatically formulate fast and optimal revision plans for flight schedules to address disruptions from bad weather and other challenges.<\/p>\n\n\n\n<p>The now operational system combines All Nippon Airways&#8217; operational expertise with Hitachi&#8217;s planning optimization technology to shorten flight schedule revision times by several hours, helping minimize customer impact during irregularities.<\/p>\n\n\n\n<p>The system automatically and rapidly generates optimized flight schedule revisions during disruptions affecting ANA&#8217;s domestic flight operations.<\/p>\n\n\n\n<p>Jointly developed by combining ANA&#8217;s operational expertise with Hitachi&#8217;s technological capabilities, this is the first time a Japanese airline has implemented such a system.<\/p>\n\n\n\n<p>The system works by dynamically collecting and analyzing large amounts of data, including aircraft operation schedules, maintenance plans, crew schedules and various airport conditions, to autonomously generate multiple revised schedule proposals. It intelligently adapts to real-time changes, including modifications to maintenance plans, airport or runway closures and consecutive irregular events across multiple airports. ANA&#8217;s operations staff can then swiftly review and select the most effective option, significantly reducing decision times and improving operational performance.<\/p>\n\n\n\n<p>Previously, ANA relied heavily on the expertise of seasoned operations staff, which created challenges in both human resource development and the time required to formulate optimal schedule revisions that consider complex conditions within a limited timeframe. Therefore, innovation in operation management was needed.<\/p>\n\n\n\n<p>Recognizing these challenges, ANA, Hitachi and Hitachi Consulting began developing the system in 2019. Extensive trials confirmed that the system&#8217;s proposals match the quality of schedules produced by highly experienced operations staff while reducing work time by several hours, especially during large-scale disruptions. For example, in scenarios where typhoons severely disrupted flight operations, veteran ANA staff with more than a decade of experience previously spent entire nights manually adjusting schedules to minimize impact.<\/p>\n\n\n\n<p>With the implementation of this new system, we can now:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reduce the time needed to consider revisions by up to 70%.<\/li>\n\n\n\n<li>Respond flexibly and repeatedly to changes in weather forecasts, such as typhoon paths and speeds.<\/li>\n\n\n\n<li>Relieve the mental stress on operations staff who are pressured to quickly create and decide on schedule revisions.<\/li>\n\n\n\n<li>Improve flight stability by allowing for the rapid comparison of multiple revision options.<\/li>\n<\/ul>\n\n\n\n<p>ANA says these benefits are expected to enable faster communication to customers, which will in turn lead to an enhanced customer experience.<\/p>\n\n\n\n<p>Amid the global push for digital technology in the aviation industry, this system is pitched as offering &nbsp;\u2018exceptional accuracy\u2019 in two key areas: its versatility to automate solutions for any disruption, from major events to daily issues, and the comprehensiveness to replicate the operational quality ANA has homed in a challenging environment like Japan, with its frequent typhoons and complex flight paths.<\/p>\n\n\n\n<p>Hitachi plans to extend the capabilities of the initiative to ANA&#8217;s international operations and other airlines worldwide &#8211; supporting critical social infrastructure.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>System enables rapid, optimal flight schedule revisions during disruptions. All Nippon Airways, in partnership with Hitachi, has developed a new system that can automatically formulate fast and optimal revision plans for flight schedules to address disruptions from bad weather and other challenges. The now operational system combines All Nippon Airways&#8217; operational expertise with Hitachi&#8217;s planning [&hellip;]<\/p>\n","protected":false},"author":58,"featured_media":47148,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7027,5,15,56,51,44,54],"tags":[8661,8662,8666,8671,8665,8659,8660,8663,8664,192,8670,8668,1411,8669,8658,8667],"class_list":["post-47147","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intelligent-technologies-ai","category-industry-verticals-aviation","category-digital-transformation","category-east-asia","category-intelligent-technology-newsletter","category-top-stories","category-used","tag-ai-flight-planning","tag-ai-in-aviation","tag-airline-automation","tag-airline-innovation","tag-airline-operations","tag-all-nippon-airways","tag-ana","tag-aviation-disruption-response","tag-aviation-technology","tag-digital-transformation","tag-flight-disruption-management","tag-flight-schedule-optimisation","tag-hitachi","tag-japan-aviation","tag-operations-brain-system","tag-typhoon-flight-delays"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/47147","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/comments?post=47147"}],"version-history":[{"count":2,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/47147\/revisions"}],"predecessor-version":[{"id":48479,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/47147\/revisions\/48479"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/media\/47148"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/media?parent=47147"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/categories?post=47147"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/tags?post=47147"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}