Multicriteria portfolio decision analysis for project selection

Morton, Alec and Keisler, Jeffrey M. and Salo, Ahti; Greco, S and Ehrgott, M and Figueira, J R, eds. (2016) Multicriteria portfolio decision analysis for project selection. In: Multiple Criteria Decision Analysis. International Series in Operations Research & Management Science, 233 (2). Springer, New York, pp. 1269-1298. ISBN 9781493979851 (https://doi.org/10.1007/978-1-4939-3094-4)

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Abstract

Multicriteria Portfolio Analysis spans several methods which typically employ build on MCDA to guide the selection of a subset (i.e.,portfolio) of available objects, with the aim of maximising the performance of the resulting portfolio with regard to multiple criteria, subject to the requirement that the selected portfolio does not consume of resources consumed by the portfolio does not exceed the availability of resources and, moreover, satisfies other relevant constraints as well. In this chapter, we present a formal model of this selection problem and describe how this model can present both challenges (e.g. portfolio value may, due to the interactions of elements, depend on project-level decisions in complex and non-additive ways) and opportunities (e.g.triage rules can be used to focus elicitation on projects which are critical) for value assessment. We also survey the application of Portfolio Decision Analysis in several domains, such as allocation of R&D expenditure, military procurement, prioritisation of healthcare projects, and environment and energy planning, and conclude by outlining possible future research directions.

ORCID iDs

Morton, Alec ORCID: https://orcid.org/0000-0003-3803-8517

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• Item metadata

  Item type:	Book Section
  ID code:	55732
  Dates:	Date Event 21 March 2016 Published
  Subjects:	Social Sciences > Industries. Land use. Labor > Management. Industrial Management
  Department:	Strathclyde Business School > Management Science
  Depositing user:	Pure Administrator
  Date deposited:	02 Mar 2016 09:39
  Last modified:	16 Dec 2024 19:03
  URI:	https://strathprints.strath.ac.uk/id/eprint/55732