EconPapers    
Economics at your fingertips  
 

Constructively simple estimating: a project management example

C Chapman () and S Ward ()
Additional contact information
C Chapman: University of Southampton
S Ward: University of Southampton

Journal of the Operational Research Society, 2003, vol. 54, issue 10, 1050-1058

Abstract: Abstract A ‘constructively simple’ approach to estimating uses a decision support modelling paradigm based on project risk management and operational research concepts. It employs probability models selected from a set of alternative stochastic models of uncertainty with a view to maximising the insight provided, given an appropriate level of complexity. It addresses issues that include the joint use of subjective and objective probabilities, subjectivity of model data and structure, bias, data acquisition costs, the importance of getting an estimate right, optimising the estimating processes involved as a whole in approximate but robust terms, and differences in interpretation of what this means to estimators and users of estimates. Specific applications are necessarily context-specific to some extent, but the underlying ideas are of general applicability. This paper uses a simple example involving estimating the uncertain duration of a project activity to illustrate what is involved.

Keywords: estimates; uncertainty; risk management; project risk management (search for similar items in EconPapers)
Date: 2003
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.2601610 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:54:y:2003:i:10:d:10.1057_palgrave.jors.2601610

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

DOI: 10.1057/palgrave.jors.2601610

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 ().

 
Page updated 2025-03-19
Handle: RePEc:pal:jorsoc:v:54:y:2003:i:10:d:10.1057_palgrave.jors.2601610