Framework for dynamic positioning of storage/retrieval machines in an automated storage/retrieval system

Egbelu, Pius J.

doi:10.1080/00207549108930046

Cited by 68 publications

(37 citation statements)

References 4 publications

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“…In practice, there is no significant difference between the results obtained from the continuous-approach-based expressions and the ones from the discrete-approach-based solutions (Sari et al 2005). Discrete representation of the rack, for example, was investigated by Egbelu (1991), Thonemann and Brandeau (1998), Ashayeri et al (2002), Sari et al (2005) and so on. Continuous representation of the rack has received considerable interests since the study of Hausman et al (1976) and these literatures can be classified into two groups according to the shape of the AS/RS: (1) square-in-time and (2) rectangular-in-time.…”

Section: As/rs Travel Time Interpretationsmentioning

confidence: 94%

“…The results show that the pursuit mode appears to be better than single addressing mode, and should always be used for AS/RS control strategy when both types of requests are available. Egbelu (1991) showed that the expected travel time of stacker crane could be obtained by summing the expected travel time to each location in the rack from an unknown dwell-point and then obtaining the expected travel time of stacker crane as a linear program. For this purpose, a linear programing methodology was developed which minimizes the service response time in an AS/RS through the optimal selection of the dwell-point of the stacker crane.…”

Section: Dwell-point Policy Of the Stacker Cranementioning

confidence: 99%

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

Tang

Vasili

2012

Warehousing in the Global Supply Chain

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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,

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Section: As/rs Travel Time Interpretationsmentioning

confidence: 94%

Section: Dwell-point Policy Of the Stacker Cranementioning

confidence: 99%

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

Tang

Vasili

2012

Warehousing in the Global Supply Chain

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“…Linn and Wysk [7] proposed an expert-system-based AS/RS controller to search for storage and retrieval. Egbelu [8] minimized the service response time in the AS/RS by selecting the dwell point of the storage/retrieval machine. Mansuri [9] proposed a computerized algorithm to find the dedicated storage allocation.…”

Section: Introductionmentioning

confidence: 99%

The implement of a remote control system for automated warehouse by ZigBee networking

Cheng

Chiu

2017

MATEC Web Conf.

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Abstract. Excessive raw materials and products in stock unduly increase an enterprise's overhead. However, insufficient raw materials and products will also influence the efficiency and output of the manufacturing process. Therefore, to largely reduce stock cost and facilitate adequate production for plants with multiple manufacturing processes and warehouses, the adjustment of raw material and products between warehouses is necessary. In addition, in order to keep track of current raw materials and products, remote online monitoring and control of the storage/retrieval system is compulsory. To simplify the search in an AS/BS process, a graph-aided strategy that manually selects the location within the stock map is presented. Moreover, to avoid interference from internet wiring allocation with existing equipment, a wireless storage/retrieval system using the ZigBee module is adopted. Consequently, a prototype of the remote wireless monitoring and control storage/retrieval system for sixteen storage spaces is exemplified.

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“…Hwang and Lim (1993) extended the Egbelu (1991) study by transforming one sub model into a single-facility location problem and developed an efficient algorithm to generate an optimal dwell point of SIR machines in AS/RS. Several dwell point specification strategies for SIR machines have been studied by Egbelu and Wu (1993) based on the simple rule-of-thumb policies by Bozer and White (1984) and dynamic strategies based on linear program developed by Egbelu (1991). Egbelu and Wu (1993) conducted a performance comparison by using average order turnaround time as the basis for comparison.…”

Section: Analytical Modelsmentioning

confidence: 99%

“…These strategies are easy to understand and implement, but they are static and cannot respond to changes in the SIR transactions in an AS/RS from period to period. Egbelu (1991) developed a dynamic optimal location strategy based on mathematical programming including two separated sub models to minimize the service response time. One sub model is to minimize the maximum SIR machine response time while the other solves the minimization of the expected response time.…”

Section: Analytical Modelsmentioning

confidence: 99%

Performance evaluation of warehouses with automated storage and retrieval technologies.

Cai¹

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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

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Framework for dynamic positioning of storage/retrieval machines in an automated storage/retrieval system

Cited by 68 publications

References 4 publications

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

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

The implement of a remote control system for automated warehouse by ZigBee networking

Performance evaluation of warehouses with automated storage and retrieval technologies.

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