{"id":1160,"date":"2021-10-26T15:15:18","date_gmt":"2021-10-26T15:15:18","guid":{"rendered":"https:\/\/axistogroup.com\/cases\/better-terminal-efficiency-by-better-planning\/"},"modified":"2026-02-20T10:38:50","modified_gmt":"2026-02-20T10:38:50","slug":"better-terminal-efficiency-by-better-planning","status":"publish","type":"case","link":"https:\/\/axistogroup.com\/en\/cases\/better-terminal-efficiency-by-better-planning\/","title":{"rendered":"More processing capacity for a container terminal by better efficiency"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Challenge<\/h2>\n\n\n\n<p>A container terminal reached the limits of its capacity due to a further increase in the number of units to be processed. The terminal also had to become more attractive for ships to dock by faster loading and unloading for shorter waiting times. Furthermore, container ships are getting bigger, increasing complexity and time pressure at the terminal.<\/p>\n\n\n\n<p>The assignment was to increase efficiency to make more inbound and outbound truck movements possible and to shorten ship waiting times.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Approach<\/h2>\n\n\n\n<p>Based on data from the ERP system regarding plan and actual over a representative period, the current working method of the terminal was reconstructed in our Planning Platform. The actual operation was visualised and animated, allowing the movements of each individual container to be tracked from position to position. The reconstruction was validated and further fine-tuned in a highly interactive process with the client.<\/p>\n\n\n\n<p>Subsequently, with our Planning Platform, the current operational performance of the terminal was determined based on jointly identified Key Performance Indicators (KPIs), such as the mooring time per barge, the number of crane movements in\/out and the number of truck movements in\/out. Subsequently, a simulation of an optimised operation was performed using the exact same dataset and boundary conditions. The comparison of the KPIs of the current and optimised operations immediately gave a clear picture of the improvement potential.<\/p>\n\n\n\n<p>In close collaboration with the client, the plan for a number of containers was then optimised step-by-step until the total was finally optimised. After each step, the improvement was measured against the identified KPIs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Results<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>15% more inbound and outbound truck movements.<\/li>\n\n\n\n<li>Substantially shorter waiting times for vessels at the quay.<\/li>\n\n\n\n<li>Less container handling.<\/li>\n<\/ul>\n","protected":false},"featured_media":596,"template":"","service-types":[74],"divicion-categories":[],"class_list":["post-1160","case","type-case","status-publish","has-post-thumbnail","hentry","service-types-ai-consulting-and-ml-services"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Better terminal efficiency by better planning<\/title>\n<meta name=\"description\" content=\"Better terminal efficiency for faster truck and ship turnaround by better planning with the Axisto Planning Platform.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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