Closed form models for determining the optimal dwell point location in automated storage and retrieval systems

Peters, Brett A.; Smith, Jeffrey S.; Hale, Trevor S.

doi:10.1080/00207549608904995

Cited by 33 publications

(29 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Van den Berg (2002) presents analytical expressions for determining dwell points under randomised and class-based storage policies. Contrary to Peters et al (1996), these methods can be used for various AS/RS configurations with varying locations of the I/O-point instead of situating it at the lower corners of the rack.…”

Section: Insert Table 5 XXXmentioning

confidence: 99%

“…Except for the location and height, the exact aisle also needs to be specified. Peters et al (1996) developed closed-form analytical models to determine dwell points in continuous square-in-time and rectangular racks under random storage based on the travel time estimations of Bozer and White (1984). Park (1999) developed an optimal dwell point policy for square-in-time racks under dedicated storage.…”

Section: Insert Table 5 XXXmentioning

confidence: 99%

See 1 more Smart Citation

A survey of literature on automated storage and retrieval systems

Roodbergen

Vis

2009

European Journal of Operational Research

494

208

View full text Add to dashboard Cite

Automated Storage and Retrieval Systems (AS/RSs) are warehousing systems that are used for the storage and retrieval of products in both distribution and production environments. This paper provides an overview of literature from the past 30 years. A comprehensive explanation of the current state of the art in AS/RS design is provided for a range of issues such as system configuration, travel time estimation, storage assignment, dwell point location, and request sequencing. The majority of the reviewed models and solution methods are applicable to static scheduling and design problems only. Requirements for AS/RSs are, however, increasingly of a more dynamic nature for which new models will need to be developed to overcome large computation times and finite planning horizons, and to improve system performance. Several other avenues for future research in the design and control of AS/RSs are also specified.

show abstract

Section: Insert Table 5 XXXmentioning

confidence: 99%

Section: Insert Table 5 XXXmentioning

confidence: 99%

A survey of literature on automated storage and retrieval systems

Roodbergen

Vis

2009

European Journal of Operational Research

494

208

View full text Add to dashboard Cite

show abstract

“…However, the stacker cranes capable of transporting more than two loads are still rarely seen and it is believed that there are no systems in practice with more than three shuttles (Meller Fig. 8.6 Illustration of AS/RS continuous rack face (Modified after Peters et al 1996) and Mungwattana 1997; Roodbergen and Vis 2009). The storage (S) and retrieval (R) operations in an AS/RS rack for different command cycles are shown in Fig.…”

Section: Different Command Cycles Of the Stacker Cranementioning

confidence: 97%

Automated Storage and Retrieval Systems: A Review on Travel Time Models and Control Policies

Tang

Vasili

2012

Warehousing in the Global Supply Chain

View full text Add to dashboard Cite

Automated storage and retrieval system (AS/RS) is one of the major material handling systems, which is widely used in distribution centers and automated production environments. AS/RSs have been utilized not only as alternatives to traditional warehouses but also as a part of advanced manufacturing systems. AS/RSs can play an essential role in modern factories for work-in-process storage and offer the advantages of improved inventory control and cost-effective utilization of time, space and equipment. Many issues and approaches related to the efficiency improvement of AS/RSs have been addressed in the literature. This chapter presents an overview of this literature from the past 40 years. It presents a comprehensive description of the current state-of-the-art in AS/RSs and discusses future prospects. The focus is principally on travel time estimates and different control policies such as dwell-point of the stacker crane, storage assignment, request sequencing and so on. In particular, this chapter will provide researchers and decision makers with an understanding of how to apply existing approaches effectively. IntroductionThe chapter is presented in four sections. The current section and Sect. 8.2 provide brief background information on facilities planning and design, material handling,

show abstract

“…The choice of the dwell point has a significant impact on expected response time of AS/RS. Peters et al (1996) developed an analytical model for the determination of the optimal dwell point location for an SIR machine. This model provides a closed form solution for the dwell point location problem under a variety of system configurations.…”

Section: Analytical Modelsmentioning

confidence: 99%

“…This model provides a closed form solution for the dwell point location problem under a variety of system configurations. Peters et al (1996) developed a closed form solution for square-in-time (SIT) racks. However, racks are not necessarily SIT, which means study of non-square-in-time (NSIT) and uniformly distributed racks are more valuable.…”

Section: Analytical Modelsmentioning

confidence: 99%

Performance evaluation of warehouses with automated storage and retrieval technologies.

Cai¹

View full text Add to dashboard Cite

In this dissertation, we study the performance evaluation of two automated warehouse material handling (MH) technologies -automated storage/retrieval system (AS/RS) and autonomous vehicle storage/retrieval system (AVS/RS). AS/RS is a traditional automated warehouse MH technology and has been used for more than five decades. We show how to model AVSjRSs with tier-to-tier vehicles as SOQNs and evaluate performance of these designs in Chapter 6.AVSjRS is a relatively new automated warehouse design technology. Hence, there are few efficient analytical tools to evaluate performance mea.<;ures of this technology.We developed some efficient algorithms based on SOQN to quickly and effectively evaluate performance of AVSjRS. Additionally, we present a tool that helps a warehouse designer during the concepting stage to determine the type of MH technology to use, analyze numerous alternate warehouse configurations and select one of these for final implementation.VI

show abstract

Closed form models for determining the optimal dwell point location in automated storage and retrieval systems

Cited by 33 publications

References 0 publications

A survey of literature on automated storage and retrieval systems

A survey of literature on automated storage and retrieval systems

Automated Storage and Retrieval Systems: A Review on Travel Time Models and Control Policies

Performance evaluation of warehouses with automated storage and retrieval technologies.

Contact Info

Product

Resources

About