Evaluation of a class-based storage scheduling technique applied to dual-shuttle automated storage and retrieval systems

Sarker, Bhaba R.; Mann, Lawrence; Santos, João

doi:10.1080/09537289408919516

Cited by 19 publications

(8 citation statements)

References 7 publications

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“…Class-based storage Eynan and Rosenblatt (1993) Unit-load AS/RS Nearest-neighbor heuristic Heuristic Sarker et al (1994) Unit-load dual shuttle AS/RS Nearest-neighbor heuristic Heuristic next. In this case, an efficient heuristic is proposed based on the additional assumption that each order is picked along its shortest spanning interval, which is the shortest interval that covers all the picking locations of the order.…”

Section: Sequencing and Routing For Carousel Systemsmentioning

confidence: 99%

Research on warehouse operation: A comprehensive review

Goetschalckx

McGinnis

2007

European Journal of Operational Research

715

433

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Section: Sequencing and Routing For Carousel Systemsmentioning

confidence: 99%

Research on warehouse operation: A comprehensive review

Goetschalckx

McGinnis

2007

European Journal of Operational Research

715

433

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“…Numerous studies have addressed other operational and control issues such as batching (Elsayed, 1981;Hwang et al, 1988;Egbelu, 1991), dwell point strategies (Bozer and White, 1984;Egbelu, 1991;Peters et al, 1996;Van den Berg, 2002), dual-shuttle or multi-shuttle (Keserla and Peters, 1994;Sarker et al, 1994;Meller and Mungwattana, 1997), and sequencing (Schwarz et al, 1978;Han et al, 1987;Eynan and Rosenblatt, 1993). Lee (1997) categorized the techniques of evaluating the performance of AS/RSs into static (Egbelu, 1991;Egbelu and Wu, 1993), computer simulation (Linn and Wysk, 1990;Randhawa et al, 1991;Egbelu and Wu, 1993;Randhawa and Shroff, 1995), and stochastic analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Analytical models for an automated storage and retrieval system with multiple in-the-aisle pick positions

Ramtin¹,

Pazour²

2014

IIE Transactions

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An automated storage and retrieval system with multiple in-the-aisle pick positions (MIAPP-AS/RS) is a case-level order fulfillment technology that enables order picking via multiple pick positions (outputs) located in the aisle. This article develops expected travel time models for different operating policies and different physical configurations. These models can be used to analyze MIAPP-AS/RS throughput performance during peak and non-peak hours. Moreover, closed-form approximations are derived for the case of an infinite number of pick positions, which enable the optimal shape configuration that minimizes expected travel times to be derived. The expected travel time models are compared with a simulation model of a discrete rack, and the results validate that the proposed models provide good estimates. Finally, a numerical experiment is conducted to illustrate the trade-offs between performance of operating policies and design configurations. It is found that MIAPP-AS/RS with a dual picking floor and input point is a robust configuration due to the single command operating policy having a comparable throughput performance to a dual-command operating policy.

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“…possible combinations. The analytical calculation of the performance in zoned racks is not easily possible, therefore, an approximation for interleaving travel times under class-based storage policies is often leading to overestimated results [18], [19], [20].…”

Section: Obtaining Optimal Zones In the Rackmentioning

confidence: 99%

Applying GPU programming to obtain average AS/RS performance in optimal zoned aisles

Lauck

Boxnick

Kopecki

2014

Asia-Pacific World Congress on Computer Science and Engineering

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This paper presents a methodology to find optimal zones in automated storage/ retrieval systems (AS/RS) and derive the performance gain for different operating strategies. One central feature of the described method is the computation of precise results in very short time (less than one second in most cases on standard hardware) for any given rack shape independent of interface alignment. These short runtimes lead to new openings in warehouse planning and control: Warehouse planning is broadly driven by the usage of experience and analytical models without respect to influences through operating strategies in early design stages. Embedding the presented method in specially tailored software enables the planner to evaluate the possible system performance achieved under a class-based storage strategy. Additionally the computed results are utilized to assess performance gains using multi-shuttle storage and retrieval systems with advanced routing and can be easily extended for double-deep systems. Furthermore, warehouse control systems can adopt the introduced models to calculate optimal article to zone associations continuously and improve overall performance in existing systems. Short runtimes are realized by a new procedure to determine optimal zones in the rack and thereon a highly parallelized algorithm calculates the average performance for a given system on usual graphic processors.

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Evaluation of a class-based storage scheduling technique applied to dual-shuttle automated storage and retrieval systems

Cited by 19 publications

References 7 publications

Research on warehouse operation: A comprehensive review

Research on warehouse operation: A comprehensive review

Analytical models for an automated storage and retrieval system with multiple in-the-aisle pick positions

Applying GPU programming to obtain average AS/RS performance in optimal zoned aisles

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