Minimizing total absolute deviation of job completion times: extensions to position-dependent processing times and parallel identical machines

G Mosheiov ()
Additional contact information
G Mosheiov: The Hebrew University

Journal of the Operational Research Society, 2008, vol. 59, issue 10, 1422-1424

Abstract: Abstract As a measure of variation, total absolute deviation of job completion times (TADC) has received relatively little attention in scheduling literature. Minimizing TADC on a single machine was shown to have a polynomial time solution. In this note, we extend TADC in two directions: (i) we allow position-dependent processing times and (ii) we consider parallel identical machines. We show that each of these two more general problems, and TADC with both extensions remain polynomially solvable.

Keywords: scheduling; single machine; parallel identical machines; measures of variation; position-dependent processing times (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jors.2602480 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:59:y:2008:i:10:d:10.1057_palgrave.jors.2602480

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

DOI: 10.1057/palgrave.jors.2602480

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 ().