Affordable Upgrades of Complex Systems: A Multilevel, Performance-Based Approach
James A. Reneke,
Matthew J. Saltzman and
Margaret M. Wiecek
Additional contact information
James A. Reneke: Clemson University
Matthew J. Saltzman: Clemson University
Margaret M. Wiecek: Clemson University
Chapter Chapter 15 in Modeling Uncertainty, 2002, pp 301-331 from Springer
Abstract:
Abstract A modeling and methodological approach to complex system decision making is proposed. A system is modeled as a multilevel network whose components interact and decisions on affordable upgrades of the components are to be made under uncertainty. The system is studied within a framework of overall performance analysis in a range of exogenous environments and in the presence of random inputs. The methodology makes use of stochastic analysis and multiple-criteria decision analysis. An illustrative example of upgrading an idealized industrial production system with complete computations is included.
Keywords: Decision Maker; Performance Function; Exogenous Variable; Multicriteria Optimization; Multiple Criterion Decision Making (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:isochp:978-0-306-48102-4_15
Ordering information: This item can be ordered from
http://www.springer.com/9780306481024
DOI: 10.1007/0-306-48102-2_15
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().