{"id":8629,"date":"2026-03-27T13:18:00","date_gmt":"2026-03-27T18:18:00","guid":{"rendered":"https:\/\/www.mhisolutionsmag.com\/?p=8629"},"modified":"2026-03-30T07:27:45","modified_gmt":"2026-03-30T12:27:45","slug":"when-coordination","status":"publish","type":"post","link":"https:\/\/www.mhisolutionsmag.com\/index.php\/2026\/03\/27\/when-coordination\/","title":{"rendered":"When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations"},"content":{"rendered":"<div class=\"htmlBody article_div\">\n<div class=\"byline\">BY <span class=\"author-name\">DEBJIT ROY<\/span>, INDIAN INSTITUTE OF MANAGEMENT; PUNEET TIWARI, ARAPL RAAS INTERNATIONAL LLC, USA; AND MILIND PADOLE, ARAPL RAAS INTERNATIONAL LLC, USA<\/div>\n<div>\u00a0<\/div>\n<figure class=\"picture\" style=\"background-repeat: no-repeat;\"><img decoding=\"async\" src=\"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg\" alt=\"when coordination meets intelligence\" \/>\n<figcaption><\/figcaption>\n<\/figure>\n<h4 class=\"picture\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" src=\"https:\/\/images-cdn.dashdigital.com\/mhiq\/0226_volume_14__issue_2\/data\/articles\/.\/img\/091.jpg\" alt=\"cicmhe logo\" width=\"212\" height=\"59\" \/>THE NEED FOR ORCHESTRATED FORKLIFT FLEETS IN A WAREHOUSE<\/h4>\n<p>With advancements in artificial intelligence (AI), Internet of Things (IoT) and sensor fusion technologies, such as 3D vision and Light Detection and Ranging (LiDAR) systems, the global autonomous forklift market is projected to grow from $2.73 billion in 2025 to $5.07 billion in 2032 (MarketsandMarkets, 2025).<\/p>\n<p>With the surge in e\u2011commerce and rising expectations for flexible throughput and fast delivery, intelligent fleet orchestration has emerged as a strategy to synchronize forklift operations with the broader warehouse workflow. By leveraging IoT connectivity and AI\u2011driven predictive analytics, forklift fleets are evolving from isolated workhorses into coordinated, efficient contributors to end\u2011to\u2011end material flow. In particular, real\u2011time fleet coordination policies can minimize fleet downtime and enhance throughput performance (De Koster et al., 2025).<\/p>\n<h4 tabindex=\"0\">COMPARING AUTONOMOUS AND AI\u2011AUGMENTED FLEETS<\/h4>\n<p>Intelligent fleets can be categorized by level of intelligence: AI\u2011augmented, fully autonomous and hybrid.<\/p>\n<ul>\n<li><strong>AI\u2011Augmented Human\u2011Operated Fleets:<\/strong> Many warehouses still rely on human operators driving forklifts, but now those vehicles can be outfitted with IoT sensors and assistive technology. In this model, a central system analyzes data from each forklift and helps guide decisions. It dispatches tasks to drivers and flags maintenance needs or unsafe driving in real time. The forklifts remain human\u2011controlled, but an AI &#8220;brain&#8221; optimizes their work. This approach is relatively easy to adopt\u2014existing trucks can be retrofitted with sensors\u2014and it boosts productivity while leveraging human flexibility. Workers feel empowered rather than replaced, which eases the adoption of the technology.<\/li>\n<li><strong>Fully Autonomous Forklift Fleets:<\/strong> At the cutting edge, some facilities utilize robotic forklifts that navigate and lift loads autonomously, eliminating the need for a human driver. Equipped with sensors, such as LiDAR and cameras, and onboard AI, these robots perceive their surroundings and avoid obstacles (Liu and Wang, 2024). They coordinate via fleet management software that assigns tasks and staggers charging cycles. Autonomous forklifts run 24\/7 without a &#8220;human fatigue&#8221; factor, driving consistent performance. These attributes make them ideal for handling high\u2011volume repetitive tasks and significantly reducing labor needs. However, implementation requires effort to define warehouse boundaries and adhere to strict safety measures. Autonomous systems can still find unplanned scenarios challenging to address. As their sensors and algorithms improve, autonomous forklifts are becoming more adaptable and safer.<\/li>\n<li><strong>Hybrid and Emerging Approaches:<\/strong> Many operations use a mix of manual and automated forklifts. For example, a semi\u2011autonomous &#8220;cobot&#8221; forklift might handle straightforward driving, while a human could collaborate with a forklift to offer precise placement of pallets in the rack.<\/li>\n<\/ul>\n<h4 tabindex=\"0\">CONNECTED FORKLIFT SYSTEMS: IOT TELEMATICS IN ACTION<\/h4>\n<p>Forklifts are now IoT\u2011enabled machines that continuously report data, including location, speed, load weight and equipment status. This real\u2011time telemetry allows forklifts to &#8220;talk&#8221; to other systems and even the facility infrastructure. For example, broadcasting a forklift\u2019s position can trigger nearby devices or other vehicles to slow or stop, preventing collisions. Overall, connectivity transforms a fleet into a coordinated network of moving parts, dynamically managing traffic to maintain throughput and avoid congestion on the warehouse floor.<\/p>\n<p>Beyond location tracking, connected forklifts feed operational data into a central fleet management platform. Managers maintain a live dashboard to monitor each forklift, displaying its status, location and needs, eliminating guesswork. If one unit is idle, another forklift can be dispatched to that task immediately, boosting utilization and reducing delays. Connectivity also enables access control: only certified drivers (who use an RFID card or a PIN) can activate a forklift, and the system automatically logs who is operating each machine. These IoT\u2011driven capabilities improve safety, accountability and efficiency across the fleet. While strategic decisions\u2014such as sizing the number of forklifts, deciding the number of charging points or analyzing the viability of autonomous forklift implementation\u2014require long\u2011term projection data, IoT data helps make tactical and operational decisions.<\/p>\n<h4 tabindex=\"0\">FROM PREDICTIVE ANALYTICS TO REAL\u2011TIME PRESCRIPTIVE POLICIES<\/h4>\n<p>The real gain from integration is derived from analyzing the data. Predictive analytics turns telemetry and historical patterns into actionable insights. For example, instead of servicing the forklift in pre\u2011determined schedules, predictive maintenance can be adopted to prevent long downtimes.<\/p>\n<p>Beyond maintenance, AI\u2011driven analysis of forklift activity optimizes operations. For example, the AI engine can predict which aisles are frequently congested and offer alternate routes. Such recommendations can prompt layout adjustments or more innovative task scheduling. Utilization data also helps right\u2011size the fleet, ensuring neither too few trucks (causing delays) nor too many (wasting capital). Machine learning models can even predict peak periods (for example, seasonal order surges) and recommend staging extra forklifts or staff in advance. In short, these capabilities shift fleet management from reactive problem\u2011solving to proactive optimization.<\/p>\n<p><a href=\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443\/\"><em>Click here to read the full article.<\/em><\/a><\/p>\n<\/div>\n\n\n<h6 class=\"wp-block-heading\">PANCHENKO VLADIMIR\/<a href=\"http:\/\/SHUTTERSTOCK.COM\">SHUTTERSTOCK.COM<\/a><\/h6>\n","protected":false},"excerpt":{"rendered":"<p>BY DEBJIT ROY, INDIAN INSTITUTE OF MANAGEMENT; PUNEET TIWARI, ARAPL RAAS INTERNATIONAL LLC, USA; AND MILIND PADOLE, ARAPL RAAS INTERNATIONAL LLC, USA \u00a0 THE NEED FOR ORCHESTRATED FORKLIFT FLEETS IN A WAREHOUSE With advancements in artificial intelligence (AI), Internet of Things (IoT) and sensor fusion technologies, such as 3D vision and Light Detection and Ranging &#8230;<\/p>\n","protected":false},"author":40,"featured_media":8630,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,9,5,13],"tags":[174,4110,4111,1253,442,1902,1907,466,441],"class_list":["post-8629","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-featured-article","category-education","category-features","category-technology","tag-automation","tag-autonomous-forklift-operations","tag-forklift-fleets","tag-forklifts","tag-mhi-solutions","tag-mhi-solutions-magazine","tag-mhisolutionsmag","tag-supply-chain","tag-supply-chain-innovation"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations - MHI Solutions<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations - MHI Solutions\" \/>\n<meta property=\"og:description\" content=\"BY DEBJIT ROY, INDIAN INSTITUTE OF MANAGEMENT; PUNEET TIWARI, ARAPL RAAS INTERNATIONAL LLC, USA; AND MILIND PADOLE, ARAPL RAAS INTERNATIONAL LLC, USA \u00a0 THE NEED FOR ORCHESTRATED FORKLIFT FLEETS IN A WAREHOUSE With advancements in artificial intelligence (AI), Internet of Things (IoT) and sensor fusion technologies, such as 3D vision and Light Detection and Ranging ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.mhisolutionsmag.com\/index.php\/2026\/03\/27\/when-coordination\/\" \/>\n<meta property=\"og:site_name\" content=\"MHI Solutions\" \/>\n<meta property=\"article:published_time\" content=\"2026-03-27T18:18:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-30T12:27:45+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"689\" \/>\n\t<meta property=\"og:image:height\" content=\"467\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Robin Lamerson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Robin Lamerson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.mhisolutionsmag.com\/index.php\/2026\/03\/27\/when-coordination\/\",\"url\":\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443\",\"name\":\"When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations - MHI Solutions\",\"isPartOf\":{\"@id\":\"https:\/\/www.mhisolutionsmag.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg\",\"datePublished\":\"2026-03-27T18:18:00+00:00\",\"dateModified\":\"2026-03-30T12:27:45+00:00\",\"author\":{\"@id\":\"https:\/\/www.mhisolutionsmag.com\/#\/schema\/person\/651ab04bd5786351be0f915720b16f5b\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#primaryimage\",\"url\":\"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg\",\"contentUrl\":\"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg\",\"width\":689,\"height\":467},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.mhisolutionsmag.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.mhisolutionsmag.com\/#website\",\"url\":\"https:\/\/www.mhisolutionsmag.com\/\",\"name\":\"MHI Solutions\",\"description\":\"Improving Supply Chain Performance\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.mhisolutionsmag.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.mhisolutionsmag.com\/#\/schema\/person\/651ab04bd5786351be0f915720b16f5b\",\"name\":\"Robin Lamerson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.mhisolutionsmag.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/a282fa3daa389a57fb7be768af92152401f459d8e257543a57ce1b0bc913a8cb?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/a282fa3daa389a57fb7be768af92152401f459d8e257543a57ce1b0bc913a8cb?s=96&d=mm&r=g\",\"caption\":\"Robin Lamerson\"},\"url\":\"https:\/\/www.mhisolutionsmag.com\/index.php\/author\/rlamerson\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations - MHI Solutions","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443","og_locale":"en_US","og_type":"article","og_title":"When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations - MHI Solutions","og_description":"BY DEBJIT ROY, INDIAN INSTITUTE OF MANAGEMENT; PUNEET TIWARI, ARAPL RAAS INTERNATIONAL LLC, USA; AND MILIND PADOLE, ARAPL RAAS INTERNATIONAL LLC, USA \u00a0 THE NEED FOR ORCHESTRATED FORKLIFT FLEETS IN A WAREHOUSE With advancements in artificial intelligence (AI), Internet of Things (IoT) and sensor fusion technologies, such as 3D vision and Light Detection and Ranging ...","og_url":"https:\/\/www.mhisolutionsmag.com\/index.php\/2026\/03\/27\/when-coordination\/","og_site_name":"MHI Solutions","article_published_time":"2026-03-27T18:18:00+00:00","article_modified_time":"2026-03-30T12:27:45+00:00","og_image":[{"width":689,"height":467,"url":"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg","type":"image\/jpeg"}],"author":"Robin Lamerson","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Robin Lamerson","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.mhisolutionsmag.com\/index.php\/2026\/03\/27\/when-coordination\/","url":"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443","name":"When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations - MHI Solutions","isPartOf":{"@id":"https:\/\/www.mhisolutionsmag.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#primaryimage"},"image":{"@id":"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#primaryimage"},"thumbnailUrl":"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg","datePublished":"2026-03-27T18:18:00+00:00","dateModified":"2026-03-30T12:27:45+00:00","author":{"@id":"https:\/\/www.mhisolutionsmag.com\/#\/schema\/person\/651ab04bd5786351be0f915720b16f5b"},"breadcrumb":{"@id":"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#primaryimage","url":"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg","contentUrl":"https:\/\/www.mhisolutionsmag.com\/wp-content\/uploads\/2026\/03\/091-01.jpg","width":689,"height":467},{"@type":"BreadcrumbList","@id":"https:\/\/www.mhisolutions-digital.com\/mhiq\/library\/item\/0226_volume_14__issue_2\/4330443#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.mhisolutionsmag.com\/"},{"@type":"ListItem","position":2,"name":"When Coordination Meets Intelligence: Real\u2011time Policies for Maximizing Throughput in Autonomous Forklift Operations"}]},{"@type":"WebSite","@id":"https:\/\/www.mhisolutionsmag.com\/#website","url":"https:\/\/www.mhisolutionsmag.com\/","name":"MHI Solutions","description":"Improving Supply Chain Performance","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.mhisolutionsmag.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.mhisolutionsmag.com\/#\/schema\/person\/651ab04bd5786351be0f915720b16f5b","name":"Robin Lamerson","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mhisolutionsmag.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/a282fa3daa389a57fb7be768af92152401f459d8e257543a57ce1b0bc913a8cb?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/a282fa3daa389a57fb7be768af92152401f459d8e257543a57ce1b0bc913a8cb?s=96&d=mm&r=g","caption":"Robin Lamerson"},"url":"https:\/\/www.mhisolutionsmag.com\/index.php\/author\/rlamerson\/"}]}},"_links":{"self":[{"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/posts\/8629","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/users\/40"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/comments?post=8629"}],"version-history":[{"count":0,"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/posts\/8629\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/media\/8630"}],"wp:attachment":[{"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/media?parent=8629"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/categories?post=8629"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mhisolutionsmag.com\/index.php\/wp-json\/wp\/v2\/tags?post=8629"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}