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Project implementation scenario selection for sustainable project and product lifecycle management. Application of network data envelopment analysis

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  • Dorota Kuchta

Abstract

A method has been proposed to select one of several project implementation variants in the context of sustainable project management. The method should be applied in the phase of the project definition. The projects are viewed across the entire lifecycle of the project and its product. In all the phases, the sustainability aspects should be addressed in a balanced way. The sustainability context implies that different stakeholders will have conflicting opinions on the weights of different variables. The proposed approach is based on network Data Envelopment Analysis that does not require the weights of individual variables as input. Consequently, the proposed method is the first approach allowing users to select a project implementation variant in the context of sustainability and the entire project and product lifecycle, without imposing the weights of individual variables. The proposal is designed for organisations using project sustainable management.

Suggested Citation

  • Dorota Kuchta, 2023. "Project implementation scenario selection for sustainable project and product lifecycle management. Application of network data envelopment analysis," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(4), pages 133-154.
    • Handle: RePEc:wut:journl:v:33:y:2023:i:4:p:133-154:id:8
    DOI: 10.37190/ord230408
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    References listed on IDEAS

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    1. Akbari, Negar & Jones, Dylan & Arabikhan, Farzad, 2021. "Goal programming models with interval coefficients for the sustainable selection of marine renewable energy projects in the UK," European Journal of Operational Research, Elsevier, vol. 293(2), pages 748-760.
    2. Dorota Kuchta & Dimitris Despotis & Kazimierz Frączkowski & Stanisław Stanek, 2019. "Application of data envelopment analysis to evaluation of IT project success," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(3), pages 17-36.
    3. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    4. Mehdiloo, Mahmood & Podinovski, Victor V., 2019. "Selective strong and weak disposability in efficiency analysis," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1154-1169.
    5. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    6. Felicia Alina Dinu, 2017. "The Architecture of a Decision Support Software System for Sustainable Projects Selection," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 5(1), June.
    7. Ioannis E. Tsolas, 2020. "Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA," Clean Technol., MDPI, vol. 2(3), pages 1-12, September.
    8. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    9. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K. & Kritikos, Manolis N., 2022. "Fair efficiency decomposition in network DEA: A compromise programming approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    10. Gilbert Silvius, 2012. "Change the Game: Sustainability in Projects and Project Management," Springer Books, in: Jan vom Brocke & Stefan Seidel & Jan Recker (ed.), Green Business Process Management, edition 127, pages 161-177, Springer.
    11. Victoria Wojcik & Harald Dyckhoff & Sebastian Gutgesell, 2017. "The desirable input of undesirable factors in data envelopment analysis," Annals of Operations Research, Springer, vol. 259(1), pages 461-484, December.
    12. Zhongsheng Hua & Yiwen Bian, 2008. "Performance measurement for network DEA with undesirable factors," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 9(2), pages 141-153.
    13. Despotis, Dimitris K. & Sotiros, Dimitris & Koronakos, Gregory, 2016. "A network DEA approach for series multi-stage processes," Omega, Elsevier, vol. 61(C), pages 35-48.
    14. Anna Ćwiąkała-Małys & Violetta Nowak, 2009. "Classification of Data Envelopment Analysis models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(3), pages 5-18.
    15. Mahmood Esfandiari & Saber Saati & Mehrzad Navabakhsh & Kaveh Khalili-Damghani, 2019. "A novel Data Envelopment Analysis model with complex numbers. Measuring the efficiency of generators in steam power plants," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(4), pages 41-52.
    16. Eilat, Harel & Golany, Boaz & Shtub, Avraham, 2008. "R&D project evaluation: An integrated DEA and balanced scorecard approach," Omega, Elsevier, vol. 36(5), pages 895-912, October.
    17. Bogusław Guzik, 2009. "Basic analytical capabilities of the CCR-DEA model," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(1), pages 55-75.
    18. Dimitris Despotis & Gregory Koronakos & Dimitris Sotiros, 2016. "Composition versus decomposition in two-stage network DEA: a reverse approach," Journal of Productivity Analysis, Springer, vol. 45(1), pages 71-87, February.
    19. Cook, Wade D. & Zhu, Joe & Bi, Gongbing & Yang, Feng, 2010. "Network DEA: Additive efficiency decomposition," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1122-1129, December.
    20. Charnes, A. & Cooper, W. W. & Seiford, L. & Stutz, J., 1982. "A multiplicative model for efficiency analysis," Socio-Economic Planning Sciences, Elsevier, vol. 16(5), pages 223-224.
    21. Ali RezaHoseini & Zahra Rahmani & Morteza BagherPour, 2022. "Performance evaluation of sustainable projects: a possibilistic integrated novel analytic hierarchy process-data envelopment analysis approach using Z-Number information," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3198-3257, March.
    22. T Joro & E-J Viitala, 2004. "Weight-restricted DEA in action: from expert opinions to mathematical models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 814-821, August.
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