Value Base Decision Models of Management for Complex Systems

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Show simple item record Watt, DJ Willey, K
dc.contributor.editor Xie, M
dc.contributor.editor Durrani, TS
dc.contributor.editor Tang, HK 2009-11-09T05:36:15Z 2004-01
dc.identifier.citation Engineering Management Conference, 2004. Proceedings. 2004, 2004, pp. 1278 - 1283
dc.identifier.isbn 0-7803-8519-5
dc.identifier.other E1 en_US
dc.description.abstract Large scale complex engineering systems (LSCES), or complex systems, and their development comprise many factors of influence, of which some are currently known, others not yet known, and some may never be fully understood. Given the very nature of, and operating difficulties in developing complex systems, often there are inconsistencies associated with providing an objective business case and in establishing a realistic (acquisition) program. The inconsistencies arise as a result of measurement difficulties in determining overall value in the presence of both "hard" and "soft" factors. The traditional approach and continued practice of allocating subjective weightings to each factor of interest also contributes to the problem of inconsistency. This paper provides a structural framework that establishes a measure of value through the application of discrete choice methods. The methods are widely used to identify the decision making behaviour of individuals and organizations. This is achieved through considering relevant qualitative and quantitative factors or attributes that as a whole provide a measure of utility, and therefore value. Whilst there has been considerable success in the use of these models within the marketing and transportation domains, there has been little application toward their use in evaluating and assessing competitively tendered contracts (CTC) for the acquisition of complex systems.
dc.publisher IEEE International
dc.relation.isbasedon 10.1109/IEMC.2004.1408900
dc.title Value Base Decision Models of Management for Complex Systems
dc.type Conference Proceeding
dc.parent Engineering Management Conference, 2004. Proceedings. 2004
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 1278 en_US
dc.identifier.endpage 1283 en_US Management, Policy and Practice en_US
dc.conference IEEE Engineering Management Conference en_US
dc.conference International Conference on Engineering Management
dc.conference.location Singapore en_US
dc.for 091503 Engineering Practice
dc.for 0999 Other Engineering
dc.personcode 995679 2004-10-18
dc.location.activity Singapore
dc.description.keywords decision making large-scale systems project management
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Strength - Realtime Information Networks
utslib.copyright.status Closed Access 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)

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