Modeling class-based storage assignment over life cycle picking patterns

Riccardo Manzini, Riccardo Accorsi, Mauro Gamberi and Stefano Penazzi

International Journal of Production Economics, 2015, vol. 170, issue PC, 790-800

Abstract: This paper aims to introduce a new approach for the design and management of warehousing systems, which involves variable demand patterns in agreement with the life cycle of stock keeping units (SKUs). Two cost-based mixed integer linear programming (MILP) models are formulated to address both the technology selection, e.g. part-to-picker systems (as automated storage and retrieval systems – AS/RS, miniloads, etc.) and picker-to-part order picking systems, and the SKU assignment to the storage areas. In particular, a class based storage assignment over a life cycle picking metric is adopted. This metric is a rolling measure of popularity.

Keywords: Life cycle picking; Product life cycle; Order picking system (OPS); Class-based storage; Storage assignment; Storage allocation; Warehouse; Re-warehousing (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527315002418
Full text for ScienceDirect subscribers only

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:eee:proeco:v:170:y:2015:i:pc:p:790-800

DOI: 10.1016/j.ijpe.2015.06.026

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().