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Ming-Huang Chiang, D., Lin, C.P. and Chen, M.C. (2014) Data Mining Based Storage Assignment Heuristics for Travel Distance Reduction. Expert Systems, 31, 81-90.
https://doi.org/10.1111/exsy.12006

has been cited by the following article:

• TITLE: Genetic Algorithm for Scattered Storage Assignment in Kiva Mobile Fulfillment System

  AUTHORS: Mengcheng Guan, Zhenping Li

  KEYWORDS: Scattered Storage Assignment, Kiva Mobile Fulfillment System, Association Rules, Genetic Algorithm

  JOURNAL NAME: American Journal of Operations Research, Vol.8 No.6, November 28, 2018

  ABSTRACT: Scattered storage means an item can be stored in multiple inventory bins. The scattered storage assignment problem based on association rules in Kiva mobile fulfillment system is investigated, which aims to decide the pods for each item to put on so as to minimize the number of pods to be moved when picking a batch of orders. This problem is formulated into an integer programming model. A genetic algorithm is developed to solve the large-sized problems. Computational experiments and comparison between the scattered storage strategy and random storage strategy are conducted to evaluate the performance of the model and algorithm.