A model for warehouse layout

Roodbergen, Kees Jan; Vis, Iris F. A.

doi:10.1080/07408170500494566

Cited by 122 publications

(69 citation statements)

References 14 publications

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“…Table 1 presents the results per value of the number of picks, because it has appeared from other research (Roodbergen and Vis, 2006), that estimate quality is more sensitive to changes in this parameter than to changes in the other parameters. Each row in the …”

Section: Comparison Of the Travel Distance Estimate With Simulationmentioning

confidence: 99%

“…Furthermore, equation 1 is formulated for a fixed value of the number of picks m. Similar to Roodbergen and Vis (2006) we can easily adapt the estimates for a variable pick list size. Assuming that we know for every pick list size m that it will occur with probability p m the average travel distance can be estimated as T (n, k, y) = P ∞ m=1 p m · T m (n, k, y).…”

Section: Estimate For Total Average Travel Distancementioning

confidence: 99%

“…Expanding the one-block optimization model of Roodbergen and Vis (2006) for multiple blocks, we can formulate the problem as follows:…”

Section: Xxxxxxxxxxxxxxmentioning

confidence: 99%

“…Research on the subject of travel distance estimation has mainly been restricted to warehouses consisting of a single block, see Chew and Tang (1999), Hall (1993), Jarvis and McDowell (1991), Kunder and Gudehus (1975) and Roodbergen and Vis (2006). Caron et al (1998) and Le-Duc and De Koster (2005) studied a two-block layout with turnover-based storage policies and with the depot at the head of the middle cross aisle.…”

Section: Average Travel Distance Estimationmentioning

confidence: 99%

“…Hall (1993) studied the impact of layout on order picking efficiency through analytical estimates for travel distance in one-block layouts. Roodbergen and Vis (2006) developed a model that is capable of finding the best layout structure for the order picking area. Their analysis shows the possibilities and impact of developing a layout based on characteristics of the operating policies.…”

Section: Xxxxxxxxxxxxxxmentioning

confidence: 99%

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Designing the layout structure of manual order picking areas in warehouses

2008

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Order picking is the warehousing process by which products are retrieved from their storage locations in response to customers' orders. Its efficiency can be influenced through the layout of the area and the operating policies. We present a model that minimizes travel distances in the picking area by identifying an appropriate layout structure consisting of one or more blocks of parallel aisles.The model has been developed for one commonly used routing policy, but it is shown to be fairly accurate for some other routing policies as well.

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Section: Comparison Of the Travel Distance Estimate With Simulationmentioning

confidence: 99%

Section: Estimate For Total Average Travel Distancementioning

confidence: 99%

“…Expanding the one-block optimization model of Roodbergen and Vis (2006) for multiple blocks, we can formulate the problem as follows:…”

Section: Xxxxxxxxxxxxxxmentioning

confidence: 99%

Section: Average Travel Distance Estimationmentioning

confidence: 99%

Section: Xxxxxxxxxxxxxxmentioning

confidence: 99%

See 3 more Smart Citations

Designing the layout structure of manual order picking areas in warehouses

2008

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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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Optimizing fishbone aisles for dual‐command operations in a warehouse

Pohl

Meller

Gue

2009

Naval Research Logistics

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Unit-load warehouses store and retrieve unit-loads, typically pallets. When storage and retrieval operations are not coordinated, travel is from a pickup and deposit (P&D) point to a pallet location and back again. In some facilities, workers interleave storage and retrieval operations to form a dual-command cycle. Two new aisle designs proposed by Gue and Meller ("Improving the unit-load warehouse." In Progress in Material Handling Research: 2006. Material Handling Industry of America, Charlotte, NC, 2006) use diagonal aisles to reduce the travel distance to a single pallet location by approximately 10 and 20% for the two designs, respectively. We develop analytical expressions for travel between pallet locations for one of these-the fishbone design. We then compare fishbone warehouses that have been optimized for dual-command to traditional warehouses that have been optimized in the same manner, and show that an optimal fishbone design reduces dual-command travel by 10-15%.

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A model for warehouse layout

Cited by 122 publications

References 14 publications

Designing the layout structure of manual order picking areas in warehouses

Designing the layout structure of manual order picking areas in warehouses

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

Optimizing fishbone aisles for dual‐command operations in a warehouse

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