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Affordable Upgrades of Complex Systems: A Multilevel, Performance-Based Approach

  • James A. Reneke
  • Matthew J. Saltzman
  • Margaret M. Wiecek
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 46)

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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science + Business Media, Inc. 2002

Authors and Affiliations

  • James A. Reneke
    • 1
  • Matthew J. Saltzman
    • 1
  • Margaret M. Wiecek
    • 1
  1. 1.Dept. of Mathematical SciencesClemson UniversityClemson

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