Dynamic demand lot-sizing rules for incremental quantity discounts
J Hu and
C L Munson ()
Additional contact information
J Hu: Washington State University
C L Munson: Washington State University
Journal of the Operational Research Society, 2002, vol. 53, issue 8, 855-863
Abstract:
Abstract Numerous studies have developed and compared lot-sizing procedures for finite-horizon dynamic demand, material requirements planning (MRP), environments when either no purchase discounts exist or for the case of all-units quantity discounts. This paper examines lot-sizing rules when product price schedules follow incremental quantity discounts. The optimal (non-discount) procedure and some traditional heuristic procedures are modified to incorporate incremental quantity discounts. We further modify two heuristics with a ‘look-ahead enhancement’ that performs very well under experimentation. Numerical tests revealed the overall best-performing heuristic in this study to be a modified ‘least-unit cost’ method with a look-ahead enhancement. That procedure produced an average cost penalty vs optimal of 0.26%.
Keywords: inventory; quantity discounts; purchasing; material requirements planning; heuristics (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jors.2601373 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:53:y:2002:i:8:d:10.1057_palgrave.jors.2601373
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274
DOI: 10.1057/palgrave.jors.2601373
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 ().