Cloud-based cyber-physical robotic mobile fulfillment systems considering order correlation pattern

K. L. Keung, C. K.M. Lee, P. Ji, Jiage Huo

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

13 Citations (Scopus)

Abstract

Ordering picking is the most time- and cost-consuming operation in the Robotic Mobile Fulfillment System (RMFS) and affects the entire supply chain operation efficiency and effectiveness. With the aid of digital operations, Cyber-Physical Systems (CPS) provide a nearly real-time control and response in the virtualized environment, thereby conducting a virtual prototype for near real-time simulation and prediction. The research presented in this paper explores the application of CPS in RMFS, considering the order correlation pattern. Four algorithms: Apriori algorithm, Frequent Pattern Growth algorithm, ECLAT algorithm and k-modes algorithm are introduced to reduce robotic conflicts of robots and enhance the capacity management in RMFS. The total completion time based on frequent itemset assignment is less than that based on random storage assignment. However, the dock grid conflicts are increased because the most frequent items are concentrated in a particular area.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
PublisherIEEE Computer Society
Pages113-117
Number of pages5
ISBN (Electronic)9781538672204
DOIs
Publication statusPublished - 14 Dec 2020
Event2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020 - Virtual, Singapore, Singapore
Duration: 14 Dec 202017 Dec 2020

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2020-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
Country/TerritorySingapore
CityVirtual, Singapore
Period14/12/2017/12/20

Keywords

  • Cyber-Physical System
  • Internet of Things
  • Order Correlation Pattern
  • Robotic Mobile Fulfillment Systems

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Cloud-based cyber-physical robotic mobile fulfillment systems considering order correlation pattern'. Together they form a unique fingerprint.

Cite this