Operational research and material handling

Matson, Jessica O.; White, John A.

doi:10.1016/0377-2217(82)90196-5

Cited by 45 publications

(13 citation statements)

References 30 publications

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“…In 1971, 1982 and 1983 respectively, Miebach [86], Matson and White [83] and J\1cGinnis et al [46] reviewed the operations research and material handling literature. They concluded that important gaps in the research fields existed and that most research seemed to concentrate on rather limited problems.…”

Section: Warehouse Literature Overviewsmentioning

confidence: 99%

Warehouse design and control: Framework and literature review

Rouwenhorst

Reuter

Stockrahm

et al. 2000

European Journal of Operational Research

466

291

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In this paper we pf(~s(mt a reference framework and a classification of warehouse design and control problems. Based on this framework, we review the existing literature on warehousing systems and indicate important gaps. In particular, we emphasi:r.e the need for design oriented studies, a..'l opposed to the strong analysis oriented research on isolated subproblems that seems to be dominant in the current literature.

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Section: Warehouse Literature Overviewsmentioning

confidence: 99%

Warehouse design and control: Framework and literature review

Rouwenhorst

Reuter

Stockrahm

et al. 2000

European Journal of Operational Research

466

291

View full text Add to dashboard Cite

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“…Because of this, only a limited number of aspects of AS/RSs and a limited number of references with respect to AS/RSs are presented in those papers. Matson and White (1982) review a number of material handling research areas one of which is concerned with AS/RSs. Kusiak (1985) describes design and operational decision problems for flexible manufacturing systems with a focus on automated guided vehicles and AS/RSs.…”

Section: Introductionmentioning

confidence: 99%

A survey of literature on automated storage and retrieval systems

Roodbergen

Vis

2009

European Journal of Operational Research

498

208

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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.

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“…Matson and White [13] provide a general overview of research in material handling, and van den Berg [18] provides a nice literature review of the planning and control of warehousing systems.…”

Section: Related Workmentioning

confidence: 99%

Analysis and optimal design of discrete order picking technologies along a line

Eisenstein¹

2008

Naval Research Logistics

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Abstract:Order picking accounts for most of the operating expense of a typical distribution center, and thus is often considered the most critical function of a supply chain. In discrete order picking a single worker walks to pick all the items necessary to fulfill a single customer order. Discrete order picking is common not only because of its simplicity and reliability, but also because of its ability to pick orders quickly upon receipt, and thus is commonly used by e-commerce operations. There are two primary ways to reduce the cost (walking distance required) of the order picking system. First is through the use of technology-conveyor systems and/or the ability to transmit order information to pickers via mobile units. Second is through the design-where best to locate depots (where workers receive pick lists and deposit completed orders) and how best to lay out the product. We build a stochastic model to compare three configurations of different technology requirements: single-depot, dual-depot, and no-depot. For each configuration we explore the optimal design.

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Operational research and material handling

Cited by 45 publications

References 30 publications

Warehouse design and control: Framework and literature review

Warehouse design and control: Framework and literature review

A survey of literature on automated storage and retrieval systems

Analysis and optimal design of discrete order picking technologies along a line

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