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Dynamic Routing of Automated Guided Vehicles in Real-time
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{"work":{"id":28678468,"created_at":"2016-09-23T06:07:10.733-07:00","from_world_paper_id":157696664,"updated_at":"2024-11-15T02:59:58.119-08:00","_data":{"grobid_abstract":"Automated Guided Vehicles (AGVs) are state-of-the-art technology for optimizing large scale production systems and are used in a wide range of application areas. A standard task in this context is to find efficient routing schemes, i.e., algorithms that route these vehicles through the particular environment. The productivity of the AGVs is highly dependent on the used routing scheme.","publication_date":"2008,,","publication_name":"Mathematics – Key Technology for the Future","grobid_abstract_attachment_id":"49062085"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Dynamic Routing of Automated Guided Vehicles in Real-time","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [53883428]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "full_page_mobile_sutd_modal"; window.loswp.useOptimizedScribd4genScript = false; window.loginModal = {}; window.loginModal.appleClientId = 'edu.academia.applesignon'; window.userInChina = "false";</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":49062085,"attachmentType":"pdf"}"><img alt="First page of “Dynamic Routing of Automated Guided Vehicles in Real-time”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/49062085/mini_magick20190201-21395-1r63dzi.png?1549069512" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/images/single_work_splash/adobe_icon.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">Dynamic Routing of Automated Guided Vehicles in Real-time</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="53883428" href="https://independent.academia.edu/EwgenijGawrilow"><img alt="Profile image of Ewgenij Gawrilow" class="ds-work-card--author-avatar" src="//a.academia-assets.com/images/s65_no_pic.png" />Ewgenij Gawrilow</a></div><div class="ds-work-card--detail"><p class="ds-work-card--detail ds2-5-body-sm">2008, Mathematics – Key Technology for the Future</p><div class="ds-work-card--work-metadata"><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">visibility</span><p class="ds2-5-body-sm" id="work-metadata-view-count">…</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span><p class="ds2-5-body-sm">16 pages</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">link</span><p class="ds2-5-body-sm">1 file</p></div></div><script>(async () => { const workId = 28678468; 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if (!viewCountBody) { throw new Error('Failed to find work views element'); } viewCountBody.textContent = `${commaizedViewCount} views`; } catch (error) { // Remove the whole views element if there was some issue parsing. document.getElementById('work-metadata-view-count')?.parentNode?.remove(); throw new Error(`Failed to parse view count: ${viewCount}`, error); } }; // If the DOM is still loading, wait for it to be ready before updating the view count. if (document.readyState === "loading") { document.addEventListener('DOMContentLoaded', () => { updateViewCount(viewCount); }); // Otherwise, just update it immediately. } else { updateViewCount(viewCount); } })();</script></div><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">Automated Guided Vehicles (AGVs) are state-of-the-art technology for optimizing large scale production systems and are used in a wide range of application areas. A standard task in this context is to find efficient routing schemes, i.e., algorithms that route these vehicles through the particular environment. The productivity of the AGVs is highly dependent on the used routing scheme.</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":49062085,"attachmentType":"pdf","workUrl":"https://www.academia.edu/28678468/Dynamic_Routing_of_Automated_Guided_Vehicles_in_Real_time"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":49062085,"attachmentType":"pdf","workUrl":"https://www.academia.edu/28678468/Dynamic_Routing_of_Automated_Guided_Vehicles_in_Real_time"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div><div class="ds-signup-banner-trigger-container"><div class="ds-signup-banner-trigger ds-signup-banner-trigger-control"></div></div><div class="ds-signup-banner ds-signup-banner-control"><div id="ds-signup-banner-close-button"><button class="ds2-5-button ds2-5-button--secondary ds2-5-button--inverse"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">close</span></button></div><div class="ds-signup-banner-ctas" data-impression-entity-id="28678468" data-impression-entity-type="2" data-impression-source="signup-banner"><img src="//a.academia-assets.com/images/academia-logo-capital-white.svg" /><h4 class="ds2-5-heading-serif-sm">Sign up for access to the world's latest research</h4><button class="ds2-5-button ds2-5-button--inverse ds2-5-button--full-width js-swp-download-button" data-signup-modal="{"location":"signup-banner"}">Sign up for free<span class="material-symbols-outlined" style="font-size: 20px" translate="no">arrow_forward</span></button></div><div class="ds-signup-banner-divider"></div><div class="ds-signup-banner-reasons"><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Get notified about relevant papers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Save papers to use in your research</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Join the discussion with peers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Track your impact</span></div></div></div><script>(() => { // Set up signup banner show/hide behavior: // 1. 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Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119), 2000</p><p class="ds-related-work--abstract ds2-5-body-sm">The Automated Guided Vehicles (or AGVs for short) have become an important option in the container handling process. We present a parallel simulation system for the study of AGV routing schemes. We model the AGV system based on a time-driven approach and execute the model on an efficient simulation engine implemented by using Cilk, a parallel programming language developed at MIT. We will elaborate on the AGV routing algorithms and traffic control scheme and propose a deadlock-free decentralized routing scheme. The performance results of the scheme are also documented.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Distributed routing and simulation of automated guided vehicles","attachmentId":45653720,"attachmentType":"pdf","work_url":"https://www.academia.edu/25353585/Distributed_routing_and_simulation_of_automated_guided_vehicles","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/25353585/Distributed_routing_and_simulation_of_automated_guided_vehicles"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="107953602" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/107953602/Dynamic_Scheduling_and_Path_Planning_of_Automated_Guided_Vehicles_in_Automatic_Container_Terminal">Dynamic Scheduling and Path Planning of Automated Guided Vehicles in Automatic Container Terminal</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="53180586" href="https://independent.academia.edu/IEEECAAJAS">IEEE/CAA J. Autom. Sinica</a></div><p class="ds-related-work--metadata ds2-5-body-xs">IEEE/CAA Journal of Automatica Sinica, 2022</p><p class="ds-related-work--abstract ds2-5-body-sm">The uninterrupted operation of the quay crane (QC) ensures that the large container ship can depart port within laytime, which effectively reduces the handling cost for the container terminal and ship owners. The QC waiting caused by automated guided vehicles (AGVs) delay in the uncertain environment can be alleviated by dynamic scheduling optimization. A dynamic scheduling process is introduced in this paper to solve the AGV scheduling and path planning problems, in which the scheduling scheme determines the starting and ending nodes of paths, and the choice of paths between nodes affects the scheduling of subsequent AGVs. This work proposes a two-stage mixed integer optimization model to minimize the transportation cost of AGVs under the constraint of laytime. A dynamic optimization algorithm, including the improved rule-based heuristic algorithm and the integration of the Dijkstra algorithm and the Q-Learning algorithm, is designed to solve the optimal AGV scheduling and path schemes. A new conflict avoidance strategy based on graph theory is also proposed to reduce the probability of path conflicts between AGVs. Numerical experiments are conducted to demonstrate the effectiveness of the proposed model and algorithm over existing methods.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Dynamic Scheduling and Path Planning of Automated Guided Vehicles in Automatic Container Terminal","attachmentId":106470796,"attachmentType":"pdf","work_url":"https://www.academia.edu/107953602/Dynamic_Scheduling_and_Path_Planning_of_Automated_Guided_Vehicles_in_Automatic_Container_Terminal","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/107953602/Dynamic_Scheduling_and_Path_Planning_of_Automated_Guided_Vehicles_in_Automatic_Container_Terminal"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="14500173" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/14500173/Shortest_Routing_of_Bidirectional_Automated_Guided_Vehicles_Avoiding_Deadlock_and_Blocking">Shortest Routing of Bidirectional Automated Guided Vehicles Avoiding Deadlock and Blocking</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="33437388" href="https://independent.academia.edu/MengchuZhou">Mengchu Zhou</a></div><p class="ds-related-work--metadata ds2-5-body-xs">IEEE/ASME Transactions on Mechatronics, 2000</p><p class="ds-related-work--abstract ds2-5-body-sm">It is a great challenge to effectively manage automated manufacturing systems in which automated guided vehicles (AGVs) are adopted to handle materials, because of such features as prior unknown AGV requests and changing AGV initial positions. This paper aims to find the shortest time routes, while both deadlock and blocking in AGV systems are avoided. It first finds the shortest routes based on a guide path layout, and then performs rerouting, whenever necessary, to avoid deadlock and blocking according to a deadlock avoidance policy, previously developed by the authors. The proposed approach can offer better solutions than existing methods. For some cases, it can find a solution, while the existing ones cannot.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Shortest Routing of Bidirectional Automated Guided Vehicles Avoiding Deadlock and Blocking","attachmentId":44110252,"attachmentType":"pdf","work_url":"https://www.academia.edu/14500173/Shortest_Routing_of_Bidirectional_Automated_Guided_Vehicles_Avoiding_Deadlock_and_Blocking","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/14500173/Shortest_Routing_of_Bidirectional_Automated_Guided_Vehicles_Avoiding_Deadlock_and_Blocking"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="28786505" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/28786505/Conflict_free_vehicle_routing">Conflict-free vehicle routing</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="53883428" href="https://independent.academia.edu/EwgenijGawrilow">Ewgenij Gawrilow</a></div><p class="ds-related-work--metadata ds2-5-body-xs">EURO Journal on Transportation and Logistics, 2012</p><p class="ds-related-work--abstract ds2-5-body-sm">Collision-free vehicle routing occurs in many applications from robot movements via scheduling multiple cranes in steel logistics to the transport of containers by automated guided vehicles. In cooperation with the HHLA Container Terminal Altenwerder (CTA), we have developed a dynamic online routing algorithm that computes collision-free routes for AGVs by considering implicit time-expanded networks. This approach proved to be very efficient in scenarios with a high traffic density. This is in contrast to the more frequent static approaches that use routes computed in the static graph-i.e., without time expansion-and employ additional methods for collision avoidance during execution of the static routes. These static approaches have the advantage that they are quite robust against disturbances but are rather unpredictable because of the usually heuristic collision avoidance rules that may even run into deadlocks in high traffic scenarios. In this paper, we study if the static approach can be suitably enhanced to meet the performance of the dynamic approach and become predictable and collision and deadlock-free. Our approach is based on online static route computations combined with load balancing techniques and graph algorithms for guaranteed deadlock avoidance. We evaluate our static algorithm on routing scenarios from the HHLA CTA. It turns out that the performance of our static router is slightly superior in low and medium traffic scenarios, but loses against the dynamic router in high traffic scenarios.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Conflict-free vehicle routing","attachmentId":49205253,"attachmentType":"pdf","work_url":"https://www.academia.edu/28786505/Conflict_free_vehicle_routing","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/28786505/Conflict_free_vehicle_routing"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="3314741" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/3314741/Scheduling_and_routing_algorithms_for_AGVs_a_survey">Scheduling and routing algorithms for AGVs: a survey</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="3833745" href="https://independent.academia.edu/RadhiaZaghdoud">Radhia Zaghdoud</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Production Research, 1999</p><p class="ds-related-work--abstract ds2-5-body-sm">Automated Guided Vehicles (AGVs) are now becoming popular in automated materials handling systems, flexible manufacturing systems and even containers handling applications at seaports. In the past two decades, much research and many papers have been devoted to various aspects of the AGV technology and rapid progress has been witnessed. As one of the enabling technologies, scheduling and routing of AGVs have attracted considerable attention; many algorithms about scheduling and routing of AGVs have been proposed. However, most of the existing results are applicable to systems with small number of AGVs, offering low degree of concurrency. With drastically increased number of AGVs in recent applications (e.g.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Scheduling and routing algorithms for AGVs: a survey","attachmentId":50342765,"attachmentType":"pdf","work_url":"https://www.academia.edu/3314741/Scheduling_and_routing_algorithms_for_AGVs_a_survey","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/3314741/Scheduling_and_routing_algorithms_for_AGVs_a_survey"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="54219123" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/54219123/A_Temporised_Conflict_Free_Routing_Policy_for_AGVs">A Temporised Conflict-Free Routing Policy for AGVs</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="39366710" href="https://univ-nantes.academia.edu/RosaAbbou">Rosa Abbou</a></div><p class="ds-related-work--metadata ds2-5-body-xs">IFAC-PapersOnLine, 2017</p><p class="ds-related-work--abstract ds2-5-body-sm">This paper deals with the conflict avoidance problem of an Automated Guided Vehicles (AGV) system, in a Flexible Manufacturing System (FMS). Regarding the complexity of this kind of problems, it has generated many works to find an optimal strategy for scheduling and routing AGVs. In this paper, we propose a new strategy based on a temporal logic, modelled using time Petri nets. It consists in imposing suitable delays on an AGV in order to avoid a critical situation with another AGV. We built an algorithm including three main stages. In the first one, we test the evolution of our system. In the second stage, we calculate our suitable delay, if it exists, by testing the different critical scenario cases. In the last stage, we assign the delays and update the system. The validity of the algorithm is proven mathematically, and its feasibility is shown using a simulation.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A Temporised Conflict-Free Routing Policy for AGVs","attachmentId":70688297,"attachmentType":"pdf","work_url":"https://www.academia.edu/54219123/A_Temporised_Conflict_Free_Routing_Policy_for_AGVs","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/54219123/A_Temporised_Conflict_Free_Routing_Policy_for_AGVs"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="20449561" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/20449561/A_complete_and_an_incomplete_algorithm_for_automated_guided_vehicle_scheduling_in_container_terminals">A complete and an incomplete algorithm for automated guided vehicle scheduling in container terminals</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="12807350" href="https://allameh.academia.edu/HRashidi">Hassan Rashidi</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Computers & Mathematics with Applications, 2011</p><p class="ds-related-work--abstract ds2-5-body-sm">In this paper, a scheduling problem for automated guided vehicles in container terminals is defined and formulated as a Minimum Cost Flow model. This problem is then solved by a novel algorithm, NSA+, which extended the standard Network Simplex Algorithm (NSA). Like NSA, NSA+ is a complete algorithm, which means that it guarantees optimality of the solution if it finds one within the time available. To complement NSA+, an incomplete algorithm Greedy Vehicle Search (GVS) is designed and implemented. The NSA+ and GVS are compared and contrasted to evaluate their relative strength and weakness. With polynomial time complexity, NSA+ can be used to solve very large problems, as verified in our experiments. Should the problem be too large for NSA+, or the time available for computation is too short (as it would be in dynamic scheduling), GVS complements NSA+.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A complete and an incomplete algorithm for automated guided vehicle scheduling in container terminals","attachmentId":41956691,"attachmentType":"pdf","work_url":"https://www.academia.edu/20449561/A_complete_and_an_incomplete_algorithm_for_automated_guided_vehicle_scheduling_in_container_terminals","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/20449561/A_complete_and_an_incomplete_algorithm_for_automated_guided_vehicle_scheduling_in_container_terminals"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="13188656" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/13188656/Dispatching_and_Conflict_Free_Routing_of_Automated_Guided_Vehicles_An_Exact_Approach">Dispatching and Conflict-Free Routing of Automated Guided Vehicles: An Exact Approach</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="32446169" href="https://polymtl.academia.edu/GuyDesaulniers">Guy Desaulniers</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Flexible Manufacturing Systems, 2000</p><p class="ds-related-work--abstract ds2-5-body-sm">This paper reports on the on-going development of a hybrid approach for dispatching and conflict-free routing of automated guided vehicles used for material handling in manufacturing. The approach combines Constraint Programming for scheduling and Mixed Integer Programming for routing without conflict. The objective of this work is to provide a reliable method for solving instances with a large number of vehicles. The proposed approach can also be used heuristically to obtain very good solution quickly.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Dispatching and Conflict-Free Routing of Automated Guided Vehicles: An Exact Approach","attachmentId":45607674,"attachmentType":"pdf","work_url":"https://www.academia.edu/13188656/Dispatching_and_Conflict_Free_Routing_of_Automated_Guided_Vehicles_An_Exact_Approach","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/13188656/Dispatching_and_Conflict_Free_Routing_of_Automated_Guided_Vehicles_An_Exact_Approach"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="65582784" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/65582784/Dynamic_con_ict_free_routing_of_automated_guided_vehicles">Dynamic con ̄ ict-free routing of automated guided vehicles</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="61261657" href="https://independent.academia.edu/MarkKarwan">Mark Karwan</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2002</p><p class="ds-related-work--abstract ds2-5-body-sm">This paper presents work performed to address design and operational control issues for an Automated Guided Vehicle (AGV) based material handling system. Various design issues connected with ̄ ow path design, such as tra c ̄ ow along the guide paths, location and representation of intersections, bu ers, pickup and dropo points, are outlined. A network representation of the AVG system (AGVS) is presented. Operational control factors, such as demand selection and assignment, route planning and tra c management, idle AGV positioning, and AGV characteristics, are addressed. In particular, the performance of six demand selection policies, four demand assignment policies, and two idle AGV positioning policies are outlined. A very e ective route-generation technique that provides con ̄ ict-free routes for multiple AGVs with varying speeds is presented. A large-scale simulation of a dynamic batch type manufacturing system to test the feasibility of the proposed scheme for real time con...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Dynamic con ̄ ict-free routing of automated guided vehicles","attachmentId":77114526,"attachmentType":"pdf","work_url":"https://www.academia.edu/65582784/Dynamic_con_ict_free_routing_of_automated_guided_vehicles","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/65582784/Dynamic_con_ict_free_routing_of_automated_guided_vehicles"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="49748985" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/49748985/Conflict_free_scheduling_and_routing_of_automated_guided_vehicles_in_mesh_topologies">Conflict-free scheduling and routing of automated guided vehicles in mesh topologies</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="12411976" href="https://bshams.academia.edu/MohammadAbdollahiAzgomi">Mohammad Abdollahi Azgomi</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Robotics and Autonomous Systems, 2009</p><p class="ds-related-work--abstract ds2-5-body-sm">Many storing and manufacturing systems tend to use automated guided vehicles (AGV) for speed, quality and safety as transporting objects. In this paper an integrated algorithm for scheduling and routing of AGVs in mesh-like systems is presented. The main characteristics of the scheduling algorithm are as follows: (1) prediction and prevention of conflicts, (2) arbitrary choice for AGVs to traverse shortest path from source to destination, (3) effect of priority policies to the scheduling result, and (4) no theoretical limitation on the number of participated AGVs. The proposed greedy algorithm for routing reduces the average number of conflicts and is closely related to the scheduling algorithm. We will also present mathematical and statistical models for the analysis of the algorithms.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Conflict-free scheduling and routing of automated guided vehicles in mesh topologies","attachmentId":68000112,"attachmentType":"pdf","work_url":"https://www.academia.edu/49748985/Conflict_free_scheduling_and_routing_of_automated_guided_vehicles_in_mesh_topologies","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/49748985/Conflict_free_scheduling_and_routing_of_automated_guided_vehicles_in_mesh_topologies"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":49062085,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":49062085,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_49062085" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. You can download the paper by clicking the button above.</p></div></div></div></div><div class="ds-sidebar--container js-work-sidebar"><div class="ds-related-content--container"><h2 class="ds-related-content--heading">Related papers</h2><div class="ds-related-work--container js-related-work-sidebar-card" data-collection-position="0" data-entity-id="54565707" data-sort-order="default"><a class="ds-related-work--title js-related-work-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/54565707/Scheduling_and_routing_of_automated_guided_vehicles_A_hybrid_approach">Scheduling and routing of automated guided vehicles: A hybrid approach</a><div class="ds-related-work--metadata"><a class="js-related-work-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="141889861" href="https://univ-thies.academia.edu/AyoubCorrea">Ayoub Correa</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Computers & Operations Research - CoR, 2007</p><div 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data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Determination of the number of automated guided vehicles required at a semi-automated container terminal","attachmentId":106622578,"attachmentType":"pdf","work_url":"https://www.academia.edu/108167786/Determination_of_the_number_of_automated_guided_vehicles_required_at_a_semi_automated_container_terminal","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-related-work-grid-card-view-pdf" href="https://www.academia.edu/108167786/Determination_of_the_number_of_automated_guided_vehicles_required_at_a_semi_automated_container_terminal"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div 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href="https://www.academia.edu/30228588/Priority_based_genetic_algorithm_for_conflict_free_automated_guided_vehicle_routing">Priority-based genetic algorithm for conflict-free automated guided vehicle routing</a><div class="ds-related-work--metadata"><a class="js-related-work-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="57574792" href="https://independent.academia.edu/MOHDKHAIROLANUARBINMOHDARIFFINENG">MOHD KHAIROL ANUAR BIN MOHD ARIFFIN / ENG</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2012</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Priority-based genetic algorithm for conflict-free automated guided vehicle 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