Finding optimal dwell points for automated guided vehicles in general guide-path layouts

Ventura, José A.; Pazhani, Subramanian; Mendoza, Abraham

doi:10.1016/j.ijpe.2015.03.007

Cited by 18 publications

(10 citation statements)

References 22 publications

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“…Internationalization of markets along with sustainability concerns stemming from regulatory schemes, business stakeholders and consumers' environmental awareness underpin the adoption and exploitation of flexible and automated systems across supply chain (SC) operations (European Commission, 2015;Ventura et al, 2015;Verdouw et al, 2016). To that end, Automated Guided Vehicles (AGVs) are being integrated into existing manufacturing systems as they provide a range of benefits across economic, environmental and social sustainability dimensions (Craig and Dale, 2008;Kannegiesser et al, 2015;Wu et al, 2016), including (i) increased productivity (Negahban and Smith, 2014), labor cost savings (Gosavi and Grasman, 2009), (ii) reduced energy consumption and emissions , and (iii) enhanced safety .…”

Section: Introductionmentioning

confidence: 99%

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

Bechtsis

Tsolakis

Vlachos

et al. 2017

Journal of Cleaner Production

189

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Internationalization of markets and climate change introduce multifaceted challenges for modern supply chain (SC) management in the today's digitalisation era. On the other hand, Automated Guided Vehicle (AGV) systems have reached an age of maturity that allows for their utilization towards tackling dynamic market conditions and aligning SC management focus with sustainability considerations. However, extant research only myopically tackles the sustainability potential of AGVs, focusing more on addressing network optimization problems and less on developing integrated and systematic methodological approaches for promoting economic, environmental and social sustainability. To that end, the present study provides a critical taxonomy of key decisions for facilitating the adoption of AGV systems into SC design and * Corresponding author. Tel: +30 2310 995896; fax: +30 2310 996018. E-mail address: dimbec@autom.teithe.gr (D. Bechtsis).2 planning, as these are mapped on the relevant strategic, tactical and operational levels of the natural hierarchy. We then propose the Sustainable Supply Chain Cube (S2C2), a conceptual tool that integrates sustainable SC management with the proposed hierarchical decision-making framework for AGVs'. Market opportunities and the potential of integrating AGVs into a SC context with the use of the S2C2 tool are further discussed.

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Section: Introductionmentioning

confidence: 99%

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

Bechtsis

Tsolakis

Vlachos

et al. 2017

Journal of Cleaner Production

189

View full text Add to dashboard Cite

show abstract

“…Since solving the model by mathematical methods is complicated, they proposed a bi-level solution method using search space and finding optimal solution. Ventura et al (2015) presented a mathematical model for allocating appropriate parking place to AGVs. The objectives of this model are minimising the mean responding time of AGV, minimising the maximum responding time of AGV and finally, minimising the maximum responding time in the system, regarding the restriction of AGV availability.…”

Section: Literature Reviewmentioning

confidence: 99%

Proposing a new mathematical model and a meta-heuristic algorithm for scheduling and allocating automated guided vehicle

Aghili

Sajadi

Tavakoli

2018

IJMOR

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“…For instance, the single-loop guide path [9] can be adopted to reduce the conflicts between multiple vehicles. Namely, in a single-loop guide path, all vehicles travel in a unidirectional loop, which connects all pick-up and drop points together [10]. Since there is no path intersection in a single-loop guide path, interferences between vehicles at intersection points are completely eliminated.…”

Section: Introductionmentioning

confidence: 99%

A Collision and Deadlock Prevention Method With Traffic Sequence Optimization Strategy for UGN-Based AGVS

Xiao

Qin

et al. 2020

IEEE Access

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Due to the advantages of high efficiency and flexibility, the Automatic Guided Vehicle System (AGVS) has been more and more widely used in many industries. However, one of the main challenges in AGVS control is how to prevent collision and deadlock between vehicles. Although many collision and deadlock prevention algorithms have been proposed, they are inefficient for the AGVS based on a unidirectional guide-path network (UGN). In order to solve this problem, this paper proposes a collision and deadlock prevention method with a traffic sequence optimization strategy for the UGN-based AGVS. First, a vehicle coordination method based on the semaphore theory and Internet of Things (IoT) positioning technology is proposed to prevent collisions and intersection congestion deadlocks. Then, to avoid cycle deadlocks, a cycle deadlock search and avoid algorithm based on the digraph theory is developed. After that a bidding mechanism-based strategy is developed to optimize the vehicle traffic sequence in each path intersection. Finally, extensive simulation tests are conducted to verify the performance of the proposed methods and strategy. Simulation results show that, compared to the zone controlled (ZC) methods, the average travel time of the proposed methods is reduced by 6.2%-29.6%, and the average throughput is increased by 3.5%-27.4%. Also, the bidding mechanism-based traffic sequence optimization strategy can not only increase the average throughput of the processing subsystem but also reduce the congestion and deadlock risk of the logistics transportation subsystem. The proposed method is suitable for an UGN-based AGVS in the manufacturing application environment. INDEX TERMS Automatic guided vehicle system, collision and deadlock prevention, traffic sequence optimization, unidirectional guide-path network.

show abstract

Finding optimal dwell points for automated guided vehicles in general guide-path layouts

Cited by 18 publications

References 22 publications

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

Proposing a new mathematical model and a meta-heuristic algorithm for scheduling and allocating automated guided vehicle

A Collision and Deadlock Prevention Method With Traffic Sequence Optimization Strategy for UGN-Based AGVS

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