The blocks relocation problem with item families minimizing the number of reshuffles

Sven Boge () and Sigrid Knust ()
Additional contact information
Sven Boge: Osnabrück University
Sigrid Knust: Osnabrück University

OR Spectrum: Quantitative Approaches in Management, 2023, vol. 45, issue 2, No 3, 395-435

Abstract: Abstract In this paper, we consider the process of unloading items from a storage (e.g., a warehouse, depot, etc.). The items are stored in stacks where only the topmost item of each stack can be directly accessed. Each item belongs to a certain family indicating the main type of the item. For a given sequence of families, it has to be decided which item of each demanded family is unloaded from the storage with the objective to minimize the total number of reshuffles. Besides new complexity results, we propose IP formulations and a two-stage simulated annealing algorithm. Computational results are presented for real-world data from a company, benchmark instances from the literature and randomly generated instances with different characteristics.

Keywords: Logistics; Storage unloading; Reshuffles; Relocations; Stacking problems (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00291-022-00703-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:orspec:v:45:y:2023:i:2:d:10.1007_s00291-022-00703-x

Ordering information: This journal article can be ordered from
http://www.springer. ... research/journal/291

DOI: 10.1007/s00291-022-00703-x

Access Statistics for this article

OR Spectrum: Quantitative Approaches in Management is currently edited by Rainer Kolisch

More articles in OR Spectrum: Quantitative Approaches in Management from Springer, Gesellschaft für Operations Research e.V.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().