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An integrated model for evaluation and optimisation of business project portfolios

Author

Listed:
  • Maria Auxiliadora Cannarozzo Tinoco
  • Camila Costa Dutra
  • José Luis Duarte Ribeiro
  • Rogério Feroldi Miorando
  • Carla Schwengber Ten Caten

Abstract

This paper presents an integrated model for the evaluation and probabilistic optimisation of project portfolios, integrating economic, social and environmental impacts analysis. The contribution of the proposed model lies in: 1) an extended list of criteria covering economic, social and environmental aspects; 2) use of financial measures, which are easily understood; 3) use of Monte Carlo simulation to cope with variability; 4) use of mathematical optimisation to deal with constraints and/or large amount of information. A practical test carried out in a company is reported and confirms the applicability and usefulness of the model. The integration of approaches for sustainable assessment of business projects and selection and optimisation of project portfolio is deficient in literature. Thereby, the proposed model is presented as an alternative to conduct integrated analysis and define optimal project portfolio for sustainable development in business contexts characterised by uncertainties. [Received: 26 October 2015; Revised: 26 August 2017; Revised: 1 March 2018; Accepted: 1 March 2018]

Suggested Citation

  • Maria Auxiliadora Cannarozzo Tinoco & Camila Costa Dutra & José Luis Duarte Ribeiro & Rogério Feroldi Miorando & Carla Schwengber Ten Caten, 2018. "An integrated model for evaluation and optimisation of business project portfolios," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 12(3), pages 442-463.
    • Handle: RePEc:ids:eujine:v:12:y:2018:i:3:p:442-463
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    Cited by:

    1. Fahime Lotfian Delouyi & Seyed Hassan Ghodsypour & Maryam Ashrafi, 2021. "Dynamic Portfolio Selection in Gas Transmission Projects Considering Sustainable Strategic Alignment and Project Interdependencies through Value Analysis," Sustainability, MDPI, vol. 13(10), pages 1-25, May.

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