Formulating and Solving Integrated Order Picking and Routing in AVS/RS

  • Wenqing Chu
  • , Xuan Zhou
  • , Xiang Shi
  • , Jingchen Jiang
  • , Wei Dong
  • , Fang Deng*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies an integrated order picking and routing (IOPR) problem in Autonomous Vehicle Storage and Retrieval Systems (AVS/RS), which addresses the joint optimization of order allocation, the sequencing of shuttle robot movements, and elevator scheduling. To solve this problem, we build the mixed-integer linear programming model and propose an order-to-storage allocation algorithm (OSAA). In OSAA, five destruction and two repair operators with problem-specific knowledge and an adaptive search mechanism are designed to get the order-to-storage allocation. Each solution is evaluated by a routing-transformation strategy, which transforms the routing problem of shuttle robots and elevators into a traveling salesman problem and subsequently solves it. Experimental results demonstrate that the proposed approach significantly improves solution quality and computational efficiency compared to traditional methods.

Original languageEnglish
Title of host publicationProceedings of the 44th Chinese Control Conference, CCC 2025
EditorsJian Sun, Hongpeng Yin
PublisherIEEE Computer Society
Pages2406-2413
Number of pages8
ISBN (Electronic)9789887581611
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event44th Chinese Control Conference, CCC 2025 - Chongqing, China
Duration: 28 Jul 202530 Jul 2025

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference44th Chinese Control Conference, CCC 2025
Country/TerritoryChina
CityChongqing
Period28/07/2530/07/25

Keywords

  • Autonomous Vehicle Storage and Retrieval Systems
  • Combinatorial Optimization
  • Order Picking
  • Shuttle robots

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