Item-associated cluster assignment model on storage allocation problems

Chuang, Yi-Fei; Lee, Hsu-Tung; Lai, Yi-Chuan

doi:10.1016/j.cie.2012.06.021

Cited by 71 publications

(33 citation statements)

References 20 publications

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“…picking sequence, picking distance, picking time, storage policy and order frequency (Bukchin, Khmelnitsky, & Yakuel, 2012;Gademann & Van de Velde, 2005;Grosse, Glock, & Jaber, 2013;Wutthisirisart, Noble, & Chang, 2015). Typically, items with high order frequencies are stored close to the P/D point to reduce the S/R activity duration (Chuang, Lee, & Laih, 2012;Goetschalckx & Ratliff, 1990;Kutzelnigg, 2011;Le-Duc & De Koster, 2005;Manzini, Gamberi, & Regattieri, 2005;Petersen, Aase, & Heiser, 2004). Assignment strategies for UL warehouses face the ULAP seeking the minimum average travelled time and distance for the S/R activities.…”

Section: Literature Reviewmentioning

confidence: 98%

Unit-load storage assignment strategy for warehouses in seismic areas

Bortolini

Botti

Cascini

et al. 2015

Computers & Industrial Engineering

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Section: Literature Reviewmentioning

confidence: 98%

Unit-load storage assignment strategy for warehouses in seismic areas

Bortolini

Botti

Cascini

et al. 2015

Computers & Industrial Engineering

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“…Xiao and Zheng (2008) design a optimization model for storage location assignment considering the material frequency and demand correlation, and solve it by the genetic algorithm. Yifei Chuan et al (2012) set correlation coefficient, and then divide items into categories according to correlation coefficient. They establish a model with the target to reduce the picking distance.…”

Section: Storage Location Assignmentmentioning

confidence: 99%

Research on Storage Location Assignment of B2C Electronic Commerce Enterprise Based on Association Rules Mining

Jin

2013

Liss 2013

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In order to improve the order picking efficiency of B2C electronic commerce enterprise, the storage location assignment in this paper takes into account both the demand correlation and the order frequency. First, we use association rules mining to analyze the demand correlation between items, and form the item combinations. Then we establish a mathematical model for the storage location assignment of the item combinations, the optimization objective of the model is to shorten the total picking distance. And the storage location assignment within the item combination is in accordance with the order frequency. A numerical experiment proves that using this method can get higher picking efficiency.

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“…This research frameworks are adopted, combined and redesign from Pan et al [1], De Koster et al [2], and Chuang et al [3] for storage assignment and order picking concepts. As we mention before that storage assignment is set of rules, so the model is designed by set of stages to find the dynamic storage assignment rule.…”

Section: Methodsmentioning

confidence: 99%

A modeling of dynamic storage assignment for order picking in beverage warehousing with Drive-in Rack system

Hadi

Djatna

Sugiarto

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. This paper develops a dynamic storage assignment model to solve storage assignment problem (SAP) for beverages order picking in a drive-in rack warehousing system to determine the appropriate storage location and space for each beverage products dynamically so that the performance of the system can be improved. This study constructs a graph model to represent drive-in rack storage position then combine association rules mining, class-based storage policies and an arrangement rule algorithm to determine an appropriate storage location and arrangement of the product according to dynamic orders from customers. The performance of the proposed model is measured as rule adjacency accuracy, travel distance (for picking process) and probability a product become expiry using Last Come First Serve (LCFS) queue approach. Finally, the proposed model is implemented through computer simulation and compare the performance for different storage assignment methods as well. The result indicates that the proposed model outperforms other storage assignment methods.

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Item-associated cluster assignment model on storage allocation problems

Cited by 71 publications

References 20 publications

Unit-load storage assignment strategy for warehouses in seismic areas

Unit-load storage assignment strategy for warehouses in seismic areas

Research on Storage Location Assignment of B2C Electronic Commerce Enterprise Based on Association Rules Mining

A modeling of dynamic storage assignment for order picking in beverage warehousing with Drive-in Rack system

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