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Constrained clustering method for class-based storage location assignment in warehouse
Industrial Management & Data Systems, 2016Purpose – Class-based storage has been studied extensively and proved to be an efficient storage policy. However, few literature addressed how to cluster stuck items for class-based storage. The purpose of this paper is to develop a constrained clustering method integrated with principal component analysis (PCA) to ...
Chao-Lung Yang, Nguyen Thi Phuong Quyen
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Data mining-based algorithm for storage location assignment in a randomised warehouse
International Journal of Production Research, 2016Data mining has long been applied in information extraction for a wide range of applications such as customer relationship management in marketing. In the retailing industry, this technique is used to extract the consumers buying behaviour when customers frequently purchase similar products together; in warehousing, it is also beneficial to store these
King-Wah Pang, Hau-Ling Chan
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Mathematical modeling and solving procedure of the planar storage location assignment problem
Computers and Industrial Engineering, 2009This paper focuses on the planar storage location assignment problem (PSLAP) that needs to be clearly defined and newly formulated. In addition, the solving procedure should be developed. The PSLAP can be defined as the assignment of the inbound and outbound objects to the storage yard with aim of minimizing the number of obstructive object moves.
Changkyu Park, Junyong Seo
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Network-Embedding Based Storage Location Assignment in Mobile Rack Warehouse
2019As mobile rack warehouses become more and more popular in e-commerce era, traditional storage location assignment strategy which optimize the space, retrieval speed, utilization ratio is no longer suitable for such situation. Current mobile rack warehouse often using random strategy to put goods onto racks.
Jing Qiu 0002 +6 more
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Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming
2014The Storage Location Assignment Problem SLAP is to find an optimal stock arrangement in a warehouse. This study presents a scalable method for solving large-scale SLAPs utilizing Genetic Programming GP and two sampling strategies. Given a large scale problem, a sub-problem is sampled from the original problem for our GP method to learn an allocation ...
Jing Xie 0007 +4 more
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An Integrated Model for Storage Location Assignment and Storage/Retrieval Scheduling in AS/RS system
2019An integrated optimization framework, including location assignment under grouping class-based storage policy and schedule of dual shuttle cranes, is offered by presenting a new optimization programming model. The objective functions, which are considered at this level, are the minimization of total costs and energy consumption.
Habibi Tostani, H. +3 more
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New Benchmarks and Optimization Model for the Storage Location Assignment Problem
Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, 2022Johan Oxenstierna +2 more
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Adaptive Storage Location Assignment for Warehouses Using Intelligent Products
2015Due to rapidly changing customer preferences, order-picking has become a bottleneck for the efficiency of the order fulfilment process and in turn a burden to the customer satisfaction of warehouse companies. Improved storage location assignment of newly delivered products is one effective method for improving the picking performance.
Nikolaos Tsamis +4 more
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Storage location assignment problem in a warehouse system
2014In a warehouse management system, there are a large number of items that needs to be handled efficiently with an emphasis on timely execution andoptimum utilization of storage space. A mathematical model is presented that involves the use of randomized storage and class based storage policy solving the storae assignment problem by reducing the transit ...
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RETRACTED: Optimization of storage location assignment in automated warehouse
Microprocessors and Microsystems, 2021Dong Yang, Yaohua Wu, Wenkai Ma
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