Effects of product postponement on the distribution network: a case study
S Kumar (),
D A Nottestad and
E E Murphy
Additional contact information
S Kumar: University of St. Thomas
D A Nottestad: 3M Company
E E Murphy: 3M Company
Journal of the Operational Research Society, 2009, vol. 60, issue 4, 471-480
Abstract:
Abstract This case study is based on a supply network analysis conducted at 3M Company, a large multi-national company headquartered in Maplewood, Minnesota. The company has developed product colouring technology that enables product postponement. This study focuses on the development of a discrete-event simulation model and inventory management equations to accurately portray the behaviour of the proposed distribution network that supports product postponement capability. The paper describes, in detail, the modelling process in the context of this actual case study. In this study, it is shown that properly devised product postponement strategy allows for best-in-class delivery within a specified lead-time. The reasons for choosing this inventory management practice are discussed. The benefits and drawbacks of product postponement are reviewed in general terms. Simulation as a tool for analysing supply networks is developed and evaluated for its ability to support a data-driven decision process.
Keywords: integrated simulation application design; decision support system; capacity planning; product distribution network; product postponement (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jors.2602572 Abstract (text/html)
Access to full text is restricted to subscribers.
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:pal:jorsoc:v:60:y:2009:i:4:d:10.1057_palgrave.jors.2602572
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274
DOI: 10.1057/palgrave.jors.2602572
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook
More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().