Optimal location of dwell points in a single loop AGV system with time restrictions on vehicle availability

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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“…Furthermore, the effectiveness of the proposed algorithm is tested compared to other methods available in literature. Ventura and Rieksts (2009)…”

Section: Decision-making At the Operational Echelonmentioning

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

195

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“…Recently, Ventura et al (2009) provided a dynamic programming algorithm to locate the idle AGV position and find out the optimal dwell point to minimise the maximum response time to improve the efficiency of an AGV system. In brief, AGV and RGV can decrease material handling cost, and a suitable strategy for AGV, and RGV can improve productivity.…”

Section: Materials Handling Systemmentioning

confidence: 99%

A GA-based method to reduce material handling: the case of TFT-LCD array Fabs in Taiwan

Tseng

Chang

Chu

et al. 2011

International Journal of Production Research

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This study proposes a genetic algorithm (GA)-based Material Handling Strategy Function (MHSF) method to increase the productivity of a TFT-LCD array fabrication to improve the traditional FIFO method in TFT-LCD fabrication by the reduction of the material handling for a Rail Guided Vehicle (RGV), because costs of material handling count up to about 50% of production costs. In this article, the MHSF is provided to help material handling commands choice, where a novel GA approach is used to adapt the weights of affecting factors in the function. Finally, to evaluate the performance of the proposed method, experiments using the data from a major TFT-LCD manufacturing plant in Taiwan have been carried out, and the results indicate that it can indeed reduce fabrication time and increase productivity.

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“…Although these types of systems can provide many advantages, due to their high installation costs, careful designs are needed to avoid potential failure. The AGV-related research reviewed here includes topics covering both design issues (Maxwell and Muckstadt, 1982;Kulwiec, 1985;Newton, 1985;Gaskins and Tanchoco, 1987;Egbelu, 1987;Narendran, 1990, 1992;Tanchoco and Sinriech, 1992;Corréa et al, 2007;Asef-Vaziri and Goetschalckx, 2008;Chiba et al, 2009;Ventura and Rieksts, 2009) and control issues (Egbelu and Tanchoco, 1984;Taghaboni and Tanchoco, 1988;Bartholdi and Platzman, 1989;Srinivasan, 1989, 1991a, b;Lee et al, 1990;Sabuncuoglu and Hommertzheim, 1992;Hwang and Kim, 1998;Kim and Kim, 1998;Hong, 2004;Maza and Castagna, 2005;Kim and Chung, 2007). These issues are important and must be carefully considered in planning if the system's full potential is to be realized.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of automated guided vehicle systems in thin film transistor liquid crystal display (TFT-LCD) Array manufacturing process

Wei¹,

Lin²

2012

Sci. Res. Essays

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In real bay layout of automated guided vehicle (AGV) systems for thin film transistor liquid crystal display (TFT-LCD) Array manufacturing, excessive inter-bay transfers in such systems will degrade performance. Thus, this paper presents two models which capture the elements of the material handling time of both bay and conventional AGV systems. Five case simulation studies are conducted to determine whether bay systems are more suitable than conventional AGV systems for particular applications under consideration of inter-bay transfer rate.

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Optimal location of dwell points in a single loop AGV system with time restrictions on vehicle availability

Cited by 23 publications

References 15 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

A GA-based method to reduce material handling: the case of TFT-LCD array Fabs in Taiwan

Evaluation of automated guided vehicle systems in thin film transistor liquid crystal display (TFT-LCD) Array manufacturing process

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