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Journal articles on the topic 'Automation. Automated guided vehicle systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Wenning, Marius, Sebastian Kawollek, and Achim Kampker. "Automated driving for car manufacturers’ vehicle logistics." at - Automatisierungstechnik 68, no. 3 (2020): 222–27. http://dx.doi.org/10.1515/auto-2019-0087.

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AbstractTechnical and legal challenges cause the implementation of Autonomous Driving in road traffic to still be a long way off. However, the introduction of driver assistance functions enables cars’ automation for low speeds already nowadays. The concept of Autonomous Transport (AT) combines automated driving with Automated Guided Vehicle’s technology. In this paper, we assess risks that emanate from AT and show fields of action for its implementation with respect to the standards for functional safety. We set up requirements for the reliability of cars’ electric power supply, actuators and

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2

Yang, Yi, and Wei Pan. "Automated guided vehicles in modular integrated construction: potentials and future directions." Construction Innovation 21, no. 1 (2020): 85–104. http://dx.doi.org/10.1108/ci-07-2019-0073.

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Purpose This paper aims to examine the potentials of using automated guided vehicle (AGV) technology in modular integrated construction (MiC) to realise logistics automation in module manufacturing and transport. Design/methodology/approach This paper adopts a scenario approach through three phases (i.e. scenario preparation, development and transfer), with six steps performed iteratively. The scenarios were systematically developed using a six-aspect socio-technical framework. Data were collected through a comprehensive literature review, site visits and interviews with relevant stakeholders

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3

Pransky, Joanne. "The Pransky interview: Mitchell Weiss, CTO, Seegrid Corporation." Industrial Robot: An International Journal 44, no. 2 (2017): 137–41. http://dx.doi.org/10.1108/ir-01-2017-0012.

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Purpose The purpose of this paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned-entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is Mitchell Weiss, Chief Technology Officer (CTO) for Seegrid Corporation, a manufacturer of stereo vision-guided robots and vehicle control systems. As an accomplished executive of automat

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4

Dávid, Andrej. "Automation of Handling Systems in the Container Terminals of Maritime Ports." Transport and Communications 7, no. 1 (2019): 6–9. http://dx.doi.org/10.26552/tac.c.2019.1.2.

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Automation of handling systems in the container terminals of maritime ports has become one of the most important changes that happened in maritime transport since the first voyage of a container vessel in 1956. Nowadays, new automated terminals are being built in the world. Most of them are located in Europe, then in North America and the Far East. Automated guided vehicles, automated straddle carriers or automated stacking cranes have replaced handling devices that were manipulated and were controlled by port workers in the container terminals. The basic goal of the paper is to focus on the a

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5

Ramirez-Atencia, Cristian, and David Camacho. "Extending QGroundControl for Automated Mission Planning of UAVs." Sensors 18, no. 7 (2018): 2339. http://dx.doi.org/10.3390/s18072339.

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Unmanned Aerial Vehicles (UAVs) have become very popular in the last decade due to some advantages such as strong terrain adaptation, low cost, zero casualties, and so on. One of the most interesting advances in this field is the automation of mission planning (task allocation) and real-time replanning, which are highly useful to increase the autonomy of the vehicle and reduce the operator workload. These automated mission planning and replanning systems require a Human Computer Interface (HCI) that facilitates the visualization and selection of plans that will be executed by the vehicles. In

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6

Ito, Masanori, and Feifei Zhang. "Intelligent Control for Container Terminal AGV." Journal of Advanced Computational Intelligence and Intelligent Informatics 2, no. 3 (1998): 72–76. http://dx.doi.org/10.20965/jaciii.1998.p0072.

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The world's container cargo trading is increasing daily, and the role of the container terminal is becoming more important as the center of cargo transportation. In Japan, new container terminals being constructed face very severe competition with larger, cheaper terminals so they must handle cargo more efficiently and cheaply. To cope, handling systems such as container cranes, yard cranes, and conveyers are being automated to enable unattended operation unloading and loading schedule planning, etc., are being computerized. In these system, crane automation and control computerization are alr

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7

Wolter, Stefan, Giancarlo Caccia Dominioni, Sebastian Hergeth, Fabio Tango, Stuart Whitehouse, and Frederik Naujoks. "Human–Vehicle Integration in the Code of Practice for Automated Driving." Information 11, no. 6 (2020): 284. http://dx.doi.org/10.3390/info11060284.

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The advancement of SAE Level 3 automated driving systems requires best practices to guide the development process. In the past, the Code of Practice for the Design and Evaluation of ADAS served this role for SAE Level 1 and 2 systems. The challenges of Level 3 automation make it necessary to create a new Code of Practice for automated driving (CoP-AD) as part of the public-funded European project L3Pilot. It provides the developer with a comprehensive guideline on how to design and test automated driving functions, with a focus on highway driving and parking. A variety of areas such as Functio

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8

Farooq, Basit, Jinsong Bao, and Qingwen Ma. "Flow-Shop Predictive Modeling for Multi-Automated Guided Vehicles Scheduling in Smart Spinning Cyber–Physical Production Systems." Electronics 9, no. 5 (2020): 799. http://dx.doi.org/10.3390/electronics9050799.

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Pointed at a problem that leads to the high complexity of the production management tasks in the multi-stage spinning industry, mixed flow batch production is often the case in response to a customer’s personalized demands. Manual handling cans have a large number of tasks, and there is a long turnover period in their semi-finished products. A novel heuristic research was conducted that considered mixed-flow shop scheduling problems with automated guided vehicle (AGV) distribution and path planning to prevent conflict and deadlock by optimizing distribution efficiency and improving the automat

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9

Nguyen Duc, Duy, Thong Tran Huu, and Narameth Nananukul. "A Dynamic Route-Planning System Based on Industry 4.0 Technology." Algorithms 13, no. 12 (2020): 308. http://dx.doi.org/10.3390/a13120308.

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Due to the availability of Industry 4.0 technology, the application of big data analytics to automated systems is possible. The distribution of products between warehouses or within a warehouse is an area that can benefit from automation based on Industry 4.0 technology. In this paper, the focus was on developing a dynamic route-planning system for automated guided vehicles within a warehouse. A dynamic routing problem with real-time obstacles was considered in this research. A key problem in this research area is the lack of a real-time route-planning algorithm that is suitable for the implem

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10

Rudas, Imre J. "Intelligent Engineering Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 2, no. 3 (1998): 69–71. http://dx.doi.org/10.20965/jaciii.1998.p0069.

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Building intelligent systems has been one of the great challenges since the early days of human culture. From the second half of the 18th century, two revolutionary changes played the key role in technical development, hence in creating engineering and intelligent engineering systems. The industrial revolution was made possible through technical advances, and muscle power was replaced by machine power. The information revolution of our time, in turn, canbe characterized as the replacement of brain power by machine intelligence. The technique used to build engineering systems and replace muscle

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11

Muller, Mark, Seri Park, Ross Lee, Brett Fusco, and Gonçalo Homem de Almeida Correia. "Review of Whole System Simulation Methodologies for Assessing Mobility as a Service (MaaS) as an Enabler for Sustainable Urban Mobility." Sustainability 13, no. 10 (2021): 5591. http://dx.doi.org/10.3390/su13105591.

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Mobility as a Service (MaaS) is an emerging concept that is being advanced as an effective approach to improve the sustainability of mobility, especially in densely populated urban areas. MaaS can be defined as the integration of various transport modes into a single service, accessible on demand, via a seamless digital planning and payment application. Recent studies have shown the potential reduction in the size of automobile fleets, with corresponding predicted improvements in congestion and environmental impact, that might be realized by the advent of automated vehicles as part of future M

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12

Berman, Sigal, Edna Schechtman, and Yael Edan. "Evaluation of automatic guided vehicle systems." Robotics and Computer-Integrated Manufacturing 25, no. 3 (2009): 522–28. http://dx.doi.org/10.1016/j.rcim.2008.02.009.

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13

D'Souza, Floyd, João Costa, and J. Norberto Pires. "Development of a solution for adding a collaborative robot to an industrial AGV." Industrial Robot: the international journal of robotics research and application 47, no. 5 (2020): 723–35. http://dx.doi.org/10.1108/ir-01-2020-0004.

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Purpose The Industry 4.0 initiative – with its ultimate objective of revolutionizing the supply-chain – putted more emphasis on smart and autonomous systems, creating new opportunities to add flexibility and agility to automatic manufacturing systems. These systems are designed to free people from monotonous and repetitive tasks, enabling them to concentrate in knowledge-based jobs. One of these repetitive functions is the order-picking task which consists of collecting parts from storage (warehouse) and distributing them among the ordering stations. An order-picking system can also pick finis

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14

Chetto, H., P. Castagna, and C. Plot. "Design and Traffic Control of Automatic Guided Vehicle Systems." IFAC Proceedings Volumes 28, no. 5 (1995): 377–83. http://dx.doi.org/10.1016/s1474-6670(17)47256-9.

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15

Kasilingam, R. G., and S. L. Gobal. "Vehicle requirements model for automated guided vehicle systems." International Journal of Advanced Manufacturing Technology 12, no. 4 (1996): 276–79. http://dx.doi.org/10.1007/bf01239614.

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16

An, Xinyuan, Sihao Zhao, Xiaowei Cui, Qin Shi, and Mingquan Lu. "Distributed Multi-Antenna Positioning for Automatic-Guided Vehicle." Sensors 20, no. 4 (2020): 1155. http://dx.doi.org/10.3390/s20041155.

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Radio-based positioning systems are typically utilized to provide high-precision position information for automatic-guided vehicles (AGVs). However, the presence of obstacles in harsh environments, as well as carried cargoes on the AGV, will degrade the localization performance, since they block the propagation of radio signals. In this paper, a distributed multi-antenna positioning system is proposed, where multiple synchronous antennas are equipped on corners of an AGV to improve the availability and accuracy of positioning. An estimator based on the Levenberg–Marquardt algorithm is introduc

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17

Wuwei, Chen, James K. Mills, and Shi Wenwu. "A New Navigation Method for an Automatic Guided Vehicle." Journal of Robotic Systems 21, no. 3 (2004): 129–39. http://dx.doi.org/10.1002/rob.20004.

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18

Interrante, Leslie D., and Daniel M. Rochowiak. "Active rescheduling for automated guided vehicle systems." Intelligent Systems Engineering 3, no. 2 (1994): 87. http://dx.doi.org/10.1049/ise.1994.0012.

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19

LIM, Jae Kook, Kap Hwan KIM, Ki Young KIM, Teruo TAKAHASHI, and Kazuho YOSHIMOTO. "Dynamic Routing in Automated Guided Vehicle Systems." JSME International Journal Series C 45, no. 1 (2002): 323–32. http://dx.doi.org/10.1299/jsmec.45.323.

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20

Hsieh, Ling‐Feng, and D. Y. Sha. "A design process for tandem automated guided vehicle systems: the concurrent design of machine layout and guided vehicle routes in tandem automated guided vehicle systems." Integrated Manufacturing Systems 7, no. 6 (1996): 30–38. http://dx.doi.org/10.1108/09576069610151167.

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21

Jakubiec, Beata. "Power supply systems of Automated Guided Vehicle l." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (2018): 486–89. http://dx.doi.org/10.24136/atest.2018.118.

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The development of technologies in the field of energy storage and loader solutions has influenced the creation of many ways to power the automatic trucks. The article discusses the technologies of power systems used in Automated Guided Vehicle.

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22

SEZEN, Bülent. "Modeling Automated Guided Vehicle Systems in Material Handling." Doğuş Üniversitesi Dergisi 2, no. 4 (2003): 207–16. http://dx.doi.org/10.31671/dogus.2019.319.

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23

SEO, Y., and P. J. EGBELU. "Flexible guidepath design for automated guided vehicle systems." International Journal of Production Research 33, no. 4 (1995): 1135–56. http://dx.doi.org/10.1080/00207549508930197.

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24

GASKINS, R. J., and J. M. A. TANCHOCO. "Flow path design for automated guided vehicle systems." International Journal of Production Research 25, no. 5 (1987): 667–76. http://dx.doi.org/10.1080/00207548708919869.

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25

Goetschalckx, Marc, and Kathleen Henning. "Computer aided engineering of automated guided vehicle systems." Computers & Industrial Engineering 13, no. 1-4 (1987): 149–52. http://dx.doi.org/10.1016/0360-8352(87)90070-2.

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26

Lee, Jim, Richard Hoo-Gon Choi, and Majid Khaksar. "Evaluation of automated guided vehicle systems by simulation." Computers & Industrial Engineering 19, no. 1-4 (1990): 318–21. http://dx.doi.org/10.1016/0360-8352(90)90130-e.

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27

Salehipour, Amir, Hamed Kazemipoor, and Leila Moslemi Naeini. "Locating workstations in tandem automated guided vehicle systems." International Journal of Advanced Manufacturing Technology 52, no. 1-4 (2010): 321–28. http://dx.doi.org/10.1007/s00170-010-2727-y.

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28

Song, K. T., and C. E. Li. "Tracking control of a free-ranging automatic guided vehicle." Control Engineering Practice 1, no. 1 (1993): 163–69. http://dx.doi.org/10.1016/0967-0661(93)92116-l.

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29

Shladover, S. E. "Automated vehicles for highway operations (automated highway systems)." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 219, no. 1 (2005): 53–75. http://dx.doi.org/10.1243/095440705x9407.

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Considerable research effort has been devoted within the past 15 years to automating the driving of highway vehicles in order to improve their safety and efficiency of operation and to help to reduce traffic congestion. Although the highway environment is in some ways more structured than other environments in which automated vehicles have been proposed to operate, the density and complexity of road traffic still make the sensing and control problems challenging. Because highway vehicles are not ‘unmanned’ but are expected to carry passengers and to coexist with other passenger-carrying vehicl

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30

Sawada, Kenji, Seiichi Shin, Kenji Kumagai, and Hisato Yoneda. "Optimal Scheduling of Automatic Guided Vehicle System via State Space Realization." International Journal of Automation Technology 7, no. 5 (2013): 571–80. http://dx.doi.org/10.20965/ijat.2013.p0571.

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This paper considers dynamical system modeling of transportation systems in semiconductor manufacturing based on state space realization. Utilizing this method, we consider an optimal scheduling problem for an Automatic Guided Vehicle (AGV) transfer problem, which is to control AGV congestion at transport rail junctions. Our scheduling algorithm is based on model-predictive control in which the cycle of measurement, prediction and optimization is repeated. Its optimization is recast as an Integer Linear Programming (ILP) problem. Since little attention has been given to AGV scheduling based on

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31

De Ryck, M., M. Versteyhe, and K. Shariatmadar. "Resource management in decentralized industrial Automated Guided Vehicle systems." Journal of Manufacturing Systems 54 (January 2020): 204–14. http://dx.doi.org/10.1016/j.jmsy.2019.11.003.

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32

Hark Hwang and Sang Hwi Kim. "Development of dispatching rules for automated guided vehicle systems." Journal of Manufacturing Systems 17, no. 2 (1998): 137–43. http://dx.doi.org/10.1016/s0278-6125(98)80026-5.

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33

Ross, Edward A., Farzad Mahmoodi, and Charles T. Mosier. "Tandem Configuration Automated Guided Vehicle Systems: A Comparative Study." Decision Sciences 27, no. 1 (1996): 81–102. http://dx.doi.org/10.1111/j.1540-5915.1996.tb00844.x.

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34

Schulze, Lothar, and Lindu Zhao. "Worldwide development and application of automated guided vehicle systems." International Journal of Services Operations and Informatics 2, no. 2 (2007): 164. http://dx.doi.org/10.1504/ijsoi.2007.014518.

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35

Wu, N., and M. Zhou. "Modeling and Deadlock Control of Automated Guided Vehicle Systems." IEEE/ASME Transactions on Mechatronics 9, no. 1 (2004): 50–57. http://dx.doi.org/10.1109/tmech.2004.823875.

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36

Hsieh, Suhua, and Ying-Jer Shih. "Automated guided vehicle systems and their Petri-net properties." Journal of Intelligent Manufacturing 3, no. 6 (1992): 379–90. http://dx.doi.org/10.1007/bf01473533.

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37

Arifin, Robert, and Pius J. Egbelu. "Determination of vehicle requirements in automated guided vehicle systems: A statistical approach." Production Planning & Control 11, no. 3 (2000): 258–70. http://dx.doi.org/10.1080/095372800232225.

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38

Gobal, S. L., and R. G. Kasilingam. "A simulation model for estimating vehicle requirements in automated guided vehicle systems." Computers & Industrial Engineering 21, no. 1-4 (1991): 623–27. http://dx.doi.org/10.1016/0360-8352(91)90163-z.

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39

Berman, S., Y. Edan, and Mo Jamshidi. "Navigation of decentralized autonomous automatic guided vehicles in material handling." IEEE Transactions on Robotics and Automation 19, no. 4 (2003): 743–49. http://dx.doi.org/10.1109/tra.2003.814513.

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40

Hoyos, Christian, Benjamin D. Lester, Caroline Crump, David M. Cades, and Douglas Young. "Consumer perceptions, understanding, and expectations of Advanced Driver Assistance Systems (ADAS) and vehicle automation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 1888–92. http://dx.doi.org/10.1177/1541931218621429.

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Consumers are faced with an increasingly complex decision process as novel safety technologies become commonplace in new vehicles. Consumers’ knowledge of these systems is potentially limited given the recent introduction and constant evolution of ADAS. We examined consumers’ understanding and perceptions of ADAS and vehicle automation in a national survey. Our analysis focused on consumers’ understanding of how certain driving tasks that can be automated (e.g., steering, braking, navigation, etc.) maps onto proposed levels of vehicle automation. Additionally, we report what sources of informa

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41

Feierle, Alexander, Michael Rettenmaier, Florian Zeitlmeir, and Klaus Bengler. "Multi-Vehicle Simulation in Urban Automated Driving: Technical Implementation and Added Benefit." Information 11, no. 5 (2020): 272. http://dx.doi.org/10.3390/info11050272.

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This article investigates the simultaneous interaction between an automated vehicle (AV) and its passenger, and between the same AV and a human driver of another vehicle. For this purpose, we have implemented a multi-vehicle simulation consisting of two driving simulators, one for the AV and one for the manual vehicle. The considered scenario is a road bottleneck with a double-parked vehicle either on one side of the road or on both sides of the road where an AV and a simultaneously oncoming human driver negotiate the right of way. The AV communicates to its passenger via the internal automati

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42

Setiawan, Yuhanes Dedy, Trong Hai Nguyen, Pandu Sandi Pratama, Hak Kyeong Kim, and Sang Bong Kim. "Path tracking controller design of four wheel independent steering automatic guided vehicle." International Journal of Control, Automation and Systems 14, no. 6 (2016): 1550–60. http://dx.doi.org/10.1007/s12555-015-0216-7.

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43

Hancock, P. A., Tara Kajaks, Jeff K. Caird, et al. "Challenges to Human Drivers in Increasingly Automated Vehicles." Human Factors: The Journal of the Human Factors and Ergonomics Society 62, no. 2 (2020): 310–28. http://dx.doi.org/10.1177/0018720819900402.

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Objective We examine the relationships between contemporary progress in on‐road vehicle automation and its coherence with an envisioned “autopia” (automobile utopia) whereby the vehicle operation task is removed from all direct human control. Background The progressive automation of on‐road vehicles toward a completely driverless state is determined by the integration of technological advances into the private automobile market; improvements in transportation infrastructure and systems efficiencies; and the vision of future driving as a crash‐free enterprise. While there are many challenges to

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44

KING, RUSSELL E., and CARL WILSON. "A review of automated guided-vehicle systems design and scheduling." Production Planning & Control 2, no. 1 (1991): 44–51. http://dx.doi.org/10.1080/09537289108919329.

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45

GASKINS, ROBERT J., J. M. A. TANCHOCO, and FATANEH TAGHABONI. "Virtual flow paths for free-ranging automated guided vehicle systems." International Journal of Production Research 27, no. 1 (1989): 91–100. http://dx.doi.org/10.1080/00207548908942532.

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46

KOUVELIS, PANAGIOTIS, GENARO J. GUTIERREZ, and WEN-CHYUAN CHIANG. "Heuristic unidirectional flowpath design approaches for automated guided vehicle systems." International Journal of Production Research 30, no. 6 (1992): 1327–51. http://dx.doi.org/10.1080/00207549208942960.

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47

Jeong, Byung Ho, and Sabah U. Randhawa. "A multi-attribute dispatching rule for automated guided vehicle systems." International Journal of Production Research 39, no. 13 (2001): 2817–32. http://dx.doi.org/10.1080/00207540110051860.

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48

Farling, B. E., C. T. Mosier, and F. Mahmoodi. "Analysis of automated guided vehicle configurations in flexible manufacturing systems." International Journal of Production Research 39, no. 18 (2001): 4239–60. http://dx.doi.org/10.1080/00207540110072957.

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49

Norman, Susan K., and Donald E. Scheck. "Design of a Simulation Package for Automated Guided Vehicle Systems." Computers & Industrial Engineering 11, no. 1-4 (1986): 401–5. http://dx.doi.org/10.1016/0360-8352(86)90120-8.

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50

Salehipour, Amir, and Mohammad Mehdi Sepehri. "Optimal location of workstations in tandem automated-guided vehicle systems." International Journal of Advanced Manufacturing Technology 72, no. 9-12 (2014): 1429–38. http://dx.doi.org/10.1007/s00170-014-5678-x.

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