Department of Economics and Business Economics

Simon Emde

Parts-to-picker based order processing in a rack-moving mobile robots environment

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Nils Boysen, Friedrich Schiller University Jena
  • ,
  • Dirk Briskorn, University of Wuppertal
  • ,
  • Simon Emde

This paper treats a special parts-to-picker based order processing system, where mobile robots hoist racks and bring them directly to stationary pickers. This technological innovation – known as the Kiva system – heavily influences all traditional planning problems to be solved when operating a warehouse. We, specifically, tackle the order processing in a picking station, i.e., the batching and sequencing of picking orders and the interdependent sequencing of the racks brought to a station. We formalize the resulting decision problem and provide suited solution procedures. In a comprehensive computational study we show that an optimized order picking allows to more than halve the fleet of robots compared to simple decision rules often applied in real-world warehouses.

Original languageEnglish
JournalEuropean Journal of Operational Research
Pages (from-to)550-562
Number of pages13
Publication statusPublished - 16 Oct 2017
Externally publishedYes

    Research areas

  • Freight/material handling, Mobile robots, Scheduling, Warehousing

See relations at Aarhus University Citationformats

ID: 167800192