Congestion-Aware Warehouse Flow Analysis and Optimization

Sawsan AlHalawani, Niloy J. Mitra

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Generating realistic configurations of urban models is a vital part of the modeling process, especially if these models are used for evaluation and analysis. In this work, we address the problem of assigning objects to their storage locations inside a warehouse which has a great impact on the quality of operations within a warehouse. Existing storage policies aim to improve the efficiency by minimizing travel time or by classifying the items based on some features. We go beyond existing methods as we analyze warehouse layout network in an attempt to understand the factors that affect traffic within the warehouse. We use simulated annealing based sampling to assign items to their storage locations while reducing traffic congestion and enhancing the speed of order picking processes. The proposed method enables a range of applications including efficient storage assignment, warehouse reliability evaluation and traffic congestion estimation.
Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science
PublisherSpringer Nature
Pages702-711
Number of pages10
ISBN (Print)978-3-319-27862-9
DOIs
StatePublished - Dec 18 2015

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