Simulation-based Multiple Automated Guided Vehicles Considering Charging and Collision-free Requirements in Automatic Warehouse

Lee, C. K. M.; Keung, K. L.; Ng, Ka Man; Lai, Daniel C. P.

doi:10.1109/ieem.2018.8607396

Cited by 18 publications

(8 citation statements)

References 9 publications

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“…By simulating a process before deploying AGVs for a workflow, authors showed the importance of simulation since wastages and overheads were reduced due to simulation before actual deployment. Benefits of simulation were also highlighted in [277]. Through the use of simulation, it was emphasized in [277] that optimal set of deployed AGVs in a warehouse depends on factory size, dimensions, workflow process and layout structure of the factory.…”

Section: G Applications and Use Casesmentioning

confidence: 99%

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A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

et al. 2020

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In industrial environments, over several decades, Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) have served to improve efficiencies of intralogistics and material handling tasks. However, for system integrators, the choice and effective deployment of improved, suitable and reliable communication and control technologies for these unmanned vehicles remains a very challenging task. Specifics of communication for AGVs and AMRs imposes stringent performance requirements on latency and reliability of communication links which many existing wireless technologies struggle to satisfy. In this paper, a review of latest AGVs and AMRs research results in the past decade is presented. The review encompasses results from different past and present research domains of AGVs. In addition, performance requirements of communication networks in terms of their latencies and reliabilities when they are deployed for AGVs and AMRs coordination, control and fleet management in smart manufacturing environments are discussed. Integration challenges and limitations of present state-of-the-art AGV and AMR technologies when those technologies are used for facilitating AGV-based smart manufacturing and factory of the future applications are also thoroughly discussed. The paper also present a thorough discussion of areas in need of further research regarding the application of 5G networks for AGVs and AMRs fleet management in smart manufacturing environments. In addition, novel integration ideas by which tactile Internet, 5G network slicing and virtual reality applications can be used to facilitate AGV and AMR based factory of the future (FoF) and smart manufacturing applications were motivated.INDEX TERMS Intelligent factory, factory of the future, 5G, smart manufacturing, industry 4.0, autonomous industrial equipment, AGV, AMR, tactile Internet, virtual reality, lean manufacturing.

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Section: G Applications and Use Casesmentioning

confidence: 99%

“…Benefits of simulation were also highlighted in [277]. Through the use of simulation, it was emphasized in [277] that optimal set of deployed AGVs in a warehouse depends on factory size, dimensions, workflow process and layout structure of the factory.…”

Section: G Applications and Use Casesmentioning

confidence: 99%

A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

et al. 2020

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“…The primary purpose for warehouses and distribution centers is to deliver goods from suppliers, store and complete and deliver customer orders so that customer demand is delivered at the best time and a reasonable cost. Reasons for using the warehouse include the intermediate cycles between the two production processes, demand coverage at the time of delivery, storage due to discounts, seasonal fluctuations, supply of various products in the central location, and forecasting of assets and stored capital (Lee et al 2018). Therefore, the main purpose of most warehouses is to minimize the total operating cost according to the level of service expected by the customer.…”

Section: Introductionmentioning

confidence: 99%

Novel Implementation of Multiple Mathematical Models in Automated Storage and Retrieval Warehouse Systems by Using Optimization Algorithms

Attari

Ala

Jami

2021

Preprint

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Warehouses and distribution centers are among the essential components in the supply chain, and their management is crucial. In the classifications made in the literature, warehouse management methods and distribution centers are divided into manual and machine forms. This system has advantages over previous systems, such as increased flexibility, accuracy, and order preparation speed. In this project, this storage system is called an automatic reverse storage system (ARWS). In this research, a complete and comprehensive explanation about the automatic reverse storage system and its components and their relationship with each other is provided. The following are mathematical models related to ordering items, assigning items to shelves, and completing orders and routing. For validation, the proposed models for small-size problems have been carefully solved with GAMS software. Then, to select the appropriate metaheuristic method, the landscape analysis method has been used. Hence using the analysis method, population-based methods were selected. Taguchi is used to determining the parameters of this method, and its results are presented.

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“…As an important part of the FMS, the material handling system of a shop floor should be efficient and automated. 3 The automated guided vehicle (AGV) is an industrial vehicle that loads goods automatically or manually, automatically travels to a designated place according to a designed route, and then unloads goods by automatic or manual means. [4][5][6][7][8] With the support of the Internet of things (IoT) technology, the automated guided vehicles system (AGVS) has become highly skilled in manufacturing production lines, capable of transporting materials efficiently, accurately, and flexibly.…”

Section: Introductionmentioning

confidence: 99%

A bio-inspired scheduling approach for machines and automated guided vehicles in flexible manufacturing system using hormone secretion principle

Zheng

et al. 2020

Advances in Mechanical Engineering

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The product quality and production efficiency of a flexible manufacturing system have improved effectively by introducing the computer management and the material transportation system. The flexible manufacturing system performance greatly depends on the performance of the material transportation system. As a mobile robot controlled by a central controller, an automated guided vehicle has a strong ability for material transportation. This article studies a dynamic scheduling problem in a shop floor, where machines and automated guided vehicles run at a specified speed and specifies a mathematical model for the dynamic scheduling problem with the goal of makespan minimization. Meanwhile, inspired by the hormone secretion principle of the endocrine system, a bio-inspired scheduling optimization approach is developed to solve the dynamic scheduling problem in the flexible manufacturing system. To verify its practical application, the bio-inspired scheduling optimization approach and other scheduling approaches are tested, and the results illustrate that the bio-inspired scheduling optimization approach has better scheduling performance as well as optimizes the quality of integrated and real-time scheduling of machines and automated guided vehicles.

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Simulation-based Multiple Automated Guided Vehicles Considering Charging and Collision-free Requirements in Automatic Warehouse

Cited by 18 publications

References 9 publications

A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

Novel Implementation of Multiple Mathematical Models in Automated Storage and Retrieval Warehouse Systems by Using Optimization Algorithms

A bio-inspired scheduling approach for machines and automated guided vehicles in flexible manufacturing system using hormone secretion principle

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