Parallel machine replacement under horizon uncertainty
Javad Seif,
Brett A. Shields and
Andrew Junfang Yu
The Engineering Economist, 2019, vol. 64, issue 1, 1-23
Abstract:
Construction projects usually get delayed for several time periods. When the planning horizon of a project is extended, projections for purchase and salvage of machinery within the planning horizon become inaccurate and less beneficial and often lead to unexpected costs. In this article, we formulate a parallel machine replacement (PMR) problem as a two-stage stochastic program with an uncertain planning horizon. We consider renting as an alternative to purchasing and maintaining the machinery. We show the application of the model through a case study in construction projects. Through numerical analysis, we derive managerial implications and show the value of the stochastic model.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/0013791X.2018.1535012 (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:taf:uteexx:v:64:y:2019:i:1:p:1-23
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTEE20
DOI: 10.1080/0013791X.2018.1535012
Access Statistics for this article
The Engineering Economist is currently edited by Sarah Ryan
More articles in The Engineering Economist from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().