The Application of Queuing Network in The Warehousing System: A Literature Review

Authors

  • Baihao Fu

DOI:

https://doi.org/10.54097/capdng15

Keywords:

Queuing Network, Warehousing System, Order picking.

Abstract

This review delves into the application of queuing networks within warehousing systems, highlighting their significance in optimizing operations amidst inherent stochasticity. The paper systematically evaluates existing literature, focusing on methodologies such as open, closed, and semi-open queuing networks. It underscores the necessity for developing more sophisticated analytical algorithms to handle general service time distributions and complex correlations. The review advocates for the integration of realistic distributions and empirical validation to enhance model accuracy. Ultimately, it posits that queuing network models are pivotal for advancing warehousing efficiency and innovation, emphasizing their transformative potential in the logistics sector.

Downloads

Download data is not yet available.

References

Guofang Duan et al. “Performance evaluation for robotic mobile fulfillment systems with time-varying arrivals”. In: Computers & Industrial Engineering 158 (2021), p. 107365.

Banu Y Ekren and Anıl Akpunar. “An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system”. In: Applied Mathematical Modelling 89 (2021), pp. 1678–1695.

Govind Lal Kumawat and Debjit Roy. “A new solution approach for multistage semi-open queuing networks: An application in shuttle-based compact storage systems”. In: Computers & Operations Research 125 (2021), p. 105086.

Po-Hsun Kuo, Ananth Krishnamurthy, and Charles J Malmborg. “Performance modelling of autonomous vehicle storage and retrieval systems using class-based storage policies”. In: International Journal of Computer Applications in Technology 31.3-4 (2008), pp. 238–248.

Tim Lamballais, Debjit Roy, and MBM De Koster. “Estimating performance in a robotic mobile fulfillment system”. In: European Journal of Operational Research 256.3 (2017), pp. 976–990.

Tim Lamballais et al. “Dynamic policies for resource reallocation in a robotic mobile fulfillment system with time-varying demand”. In: European Journal of Operational Research 300.3 (2022), pp. 937–952.

Debjit Roy et al. “Performance analysis and design trade-offs in warehouses with autonomous vehicle technology”. In: Iie Transactions 44.12 (2012), pp. 1045–1060.

Elena Tappia et al. “Modeling, analysis, and design insights for shuttlebased compact storage systems”. In: Transportation Science 51.1 (2017), pp. 269–295.

Yingying Wu et al. “Modelling and design for a shuttle-based storage and retrieval system”. In: International journal of production research 58.16 (2020), pp. 4808–4828.

Zhe Yuan and Yeming Yale Gong. “Bot-in-time delivery for robotic mobile fulfillment systems”. In: IEEE Transactions on Engineering Management 64.1 (2017), pp. 83–93.

Bipan Zou et al. “Assignment rules in robotic mobile fulfilment systems for online retailers”. In: International Journal of Production Research 55.20 (2017), pp. 6175–6192.

Downloads

Published

14-08-2024

How to Cite

Fu, B. (2024). The Application of Queuing Network in The Warehousing System: A Literature Review. Journal of Education, Humanities and Social Sciences, 36, 93-97. https://doi.org/10.54097/capdng15