An evaluation of routing policies for order-picking operations in low-level picker-to-part system

Hwang, Hark; Oh, YH; Yk, Lee

doi:10.1080/00207540410001696339

Cited by 86 publications

(66 citation statements)

References 13 publications

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“…Schmenner 1999, Hall 1993). De Koster and van der Poort (1998), Hwang et al (2004) and Petersen and Aase (2004), among others, compared different heuristic routing strategies for manual order picking systems and showed that heuristics may lead to good results, as compared to the optimal solution. Ratliff and Rosenthal (1983), in turn, formulated the order picking problem in a rectangular warehouse as a special case of the travelling salesman problem and provided a procedure for deriving a minimum length tour.…”

Section: Literature Reviewmentioning

confidence: 99%

Storage policies and order picking strategies in U-shaped order-picking systems with a movable base

Glock

Grosse

2012

International Journal of Production Research

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Section: Literature Reviewmentioning

confidence: 99%

Storage policies and order picking strategies in U-shaped order-picking systems with a movable base

Glock

Grosse

2012

International Journal of Production Research

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“…Examples include routing Hwang et al, 2004;Petersen, 2004), storage assignment (Jarvis and McDowell, 1991), warehouse layout (Hsieh and Tsai, 2006), and zoning (Jane and Laih, 2005;Le-Duc and De Koster, 2005). This body of research is a major contribution to the field and has led to greater efficiency in those warehouses that have been able to successfully implement the findings in practice.…”

Section: Introductionmentioning

confidence: 99%

Aligning Order Picking Methods, Incentive Systems, and Regulatory Focus to Increase Performance

Vries

Koster

Stam³

2015

SSRN Journal

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A unique controlled field experiment investigates order picking performance (in terms of productivity and quality). We examined three manual picker-to-parts order picking methods (parallel, zone, and dynamic zone picking) under two different incentive systems (competitionbased versus cooperation-based) for pickers with different regulatory foci (prevention-focus versus promotion-focus). The study was carried out in a warehouse erected especially for the purposes of order picking research. Our results show that when using a parallel picking method a competitionbased incentive system increases productivity and quality compared to a cooperation-based incentive system, and that when using a zone picking method it is more productive to use a cooperationbased incentive system. This pattern of results was especially pronounced for pickers with a dominant promotion focus. Dominantly prevention focused pickers, however, were more productive with a cooperation-based incentive system, irrespective of the picking method. Additionally, a cooperation-based incentive system delivered a low quality performance in zone picking, but a high quality performance in dynamic zone picking. The analyses demonstrate that by aligning order picking methods, incentive systems and regulatory focus, warehouses can improve productivity and quality, and reduce wage costs by up to 20%.

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“…3c). Three analytical models have been proposed in order to evaluate the expected travel distance for these three routing policies and examined their performance by varying the parameter values of the COI-based (Cube-per-Order Index) ABC curve, number of items in the list, and ratio of the length to the width of the warehouse [10]. Goetschalckx and McGinnis indicated that an analytical model is important for both warehouse design and operation purposes [11].…”

Section: Green Sourcingmentioning

confidence: 99%

“…In case of items are stored in racks, ny,z is equal to 1; in case there are no racks, ny,z is obtained by equations (7 -8). As far as concern hnz, it allows evaluating the average forks height required for picking up one item from a stockpile respectively adopting a storage configuration with rack (9) or with stackable units (10).…”

Section: Theoretical Formulationmentioning

confidence: 99%

Greening Activities in Warehouses: A Model for Identifying Sustainable Strategies in Material Handling

Boenzi¹,

Digiesi²,

Facchini³

et al. 2016

DAAAM Proceedings

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Recently many firms adopted a "green warehousing" approach in order to improve their environmental performances. The common driver of the solutions identified is in the reduction of the energy consumptions, considered as the key "greening element". The optimization of energy required by order picking (estimated to count up to 55% of the total energy for warehousing activities) can be obtained by means of the adoption of forklift equipped by different engines or by means of the optimization of operational activities such as the pickers routing, the movements for material handling, etc. In literature, the type of forklift and the storage configuration to be adopted are addressed as different issues. In this study a support decision tool based on an iterative nonlinear integer model is developed. The tool allows identifying the strategy (the type of forklift and the storage configuration to be adopted) optimizing the environmental performances of warehouse activities.

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An evaluation of routing policies for order-picking operations in low-level picker-to-part system

Cited by 86 publications

References 13 publications

Storage policies and order picking strategies in U-shaped order-picking systems with a movable base

Storage policies and order picking strategies in U-shaped order-picking systems with a movable base

Aligning Order Picking Methods, Incentive Systems, and Regulatory Focus to Increase Performance

Greening Activities in Warehouses: A Model for Identifying Sustainable Strategies in Material Handling

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