Project Recovery: Project Failures and How to Get Rid of them

Authors

  • Mario Vanhoucke http://www.ucl.ac.uk/msi/profile/mario-vanhoucke Faculty of Economics and Business Administration, Ghent University; Belgium Technology and Operations Management Area, Vlerick Business School, Ghent, Belgium; University College London, United Kingdom Belgium
  • Marie-Julie De Bruyne Ghent University Belgium
  • Eva Moens Belgium

DOI:

https://doi.org/10.19255/JMPM02611

Keywords:

Project Success, Project Failure, Project Recovery

Abstract

Since the 1960s, project success has been receiving much interest from both academics and practitioners. Despite these efforts, project failure is still a recurring and prevalent phenomenon. In both peer-reviewed and non-peer-reviewed project management literature, a great deal of studies generates lists of success factors and failure causes. Few studies, however, investigate concrete recovery strategies to bring failing projects back on track. The present article, therefore, draws upon the literature on critical success factors and project recovery frameworks to construct an eight-step action plan that helps in recovering from project failure. The recovery action plan was awarded the University Contest by PMI Belgium in 2019.

Author Biographies

  • Mario Vanhoucke, http://www.ucl.ac.uk/msi/profile/mario-vanhoucke Faculty of Economics and Business Administration, Ghent University; Belgium Technology and Operations Management Area, Vlerick Business School, Ghent, Belgium; University College London, United Kingdom Belgium

    Dr. Mario Vanhoucke is professor at the Ghent University and head of the department of Information Science and Operations Management. He is also part-time professor at Vlerick Leuven Gent Management School (Belgium) and University College of London (UK). He teaches Project Management, Business Statistics and Applied Operations Research. Read more. Teaching Mario teaches “Project Management” in the MSc course module CEGEG041 at University College of London (UK) and Ghent University (Belgium). He also teaches “Decision Sciences” and “Business Statistics” at Vlerick Leuven Gent Management School (Belgium) and Beijing University (China), “Applied Operations Research” at Ghent University (Belgium), and Read more. Research Mario‘s research interests include project management, project risk management and project control (Earned Value Management) as well as health-care optimisation and machine scheduling. Here you can see some of his recent research projects. http://www.ucl.ac.uk/msi/profile/mario-vanhoucke/research Publications “New computational results for the discrete time/cost trade-off problem in project networks”, Journal of the Operational Research Society, 1998, 49 (11), 1153-1163 (with E. Demeulemeester, B. Foubert, W. Herroelen and M. Vanhoucke). “An exact procedure for the resource-constrained weighted earliness-tardiness project scheduling problem”, Annals of Operations Research, 2001, 102, 179-196 (with E. Demeulemeester and W. Herroelen). “On maximizing the net present value of a project under renewable resource constraints”, Management Science, 2001, 47, 1113-1121 (with E. Demeulemeester and W. Herroelen). "Scheduling projects with linearly time-dependent cash flows to maximize the net present value", International Journal of Production Research, 2001, 39, 3159-3181 (with E. Demeulemeester and W. Herroelen). “Discrete time/cost trade-offs in project scheduling with time-switch constraints”, Journal of the Operational Research Society, 2002, 53, 741-751 (with E. Demeulemeester and W. Herroelen). “A random network generator for activity-on-the-node networks”, Journal of Scheduling, 2003, 6, 13-34 (with E. Demeulemeester and W. Herroelen). “Progress payments in project scheduling problems”, European Journal of Operational Research, 2003, 148, 604-620 (with E. Demeulemeester and W. Herroelen). “New computational results for the discrete time/cost trade-off problem with time-switch constraints”, European Journal of Operational Research, 2005, 165, 359-374. “A bi-population based genetic algorithm for the RCPSP”, Lecture Notes in Computer Science, 2005, 3483, 378-387 (with D. Debels). “A hybrid scatter search/electromagnetism meta-heuristic for project scheduling”, European Journal of Operational Research, 2006, 169, 638-653 (with D. Debels, B. De Reyck, and R. Leus). “Work continuity constraints in project scheduling”, Journal of Construction Engineering and Management, 2006, 132, 14-25. “A simulation and evaluation of earned value metrics to forecast the project duration”, Journal of the Operational Research Society, 2007, 58, 1361–1374 (with S. Vandevoorde). “A decomposition-based genetic algorithm for the resource-constrained project scheduling problem”, Operations Research, 2007, 55, 457-469 (with D. Debels). “An electromagnetism meta-heuristic for the nurse scheduling problem”, Journal of Heuristics, 2007, 13, 359-385 (with B. Maenhout). “A simulation analysis of errors in the design of costing systems”, The Accounting Review, 2007, 82, 939-962 (with E. Labro). “The discrete time/cost trade-off problem: extensions and heuristic procedures”, Journal of Scheduling, 2007, 10, 311-326 (with D. Debels). “A comparison and hybridization of crossover operators for the nurse scheduling problem”, Annals of Operations Research, 2008, 159, 333 – 353 (with B. Maenhout). “An evaluation of the adequacy of project network generators with systematically sampled networks”, European Journal of Operational Research, 2008, 187, 511–524 (with J. Coelho, D. Debels, B. Maenhout and L. Tavares). “The impact of various activity assumptions on the lead-time and resource utilization of resource-constrained projects”, Computers and Industrial Engineering, 2008, 54, 140–154 (with D. Debels). “Setup times and fast tracking in resource-constrained project scheduling”, Computers and Industrial Engineering, 2008, 54, 1062-1070. “Diversity in resource consumption patterns and costing system robustness to errors”, Management Science, 2008, 54, 1715 – 1730 (with E. Labro). “On the characterisation and generation of nurse scheduling problem instances”, European Journal of Operational Research, 2009, 196, 457–467 (with B. Maenhout). “The impact of incorporating nurse-specific characteristics in a cyclical scheduling approach”, Journal of the Operational Research Society, 2009, 60, 1683-1698 (with B. Maenhout). “A finite capacity production scheduling procedure for a Belgian steel company”, International Journal of Production Research, 2009, 47, 561 – 584 (with D. Debels). “A scatter search heuristic for maximizing the net present value of a resource-constrained project with fixed activity cash flows”, International Journal of Production Research, 2010, 48, 1983-2001. “A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem”, European Journal of Operational Research, 2010, 201, 409-418 (with V. Van Peteghem). “Using activity sensitivity and network topology information to monitor project time performance”, Omega - International Journal of Management Science, 2010, 38, 359-370. “Introducing optimization techniques to students: An exam case distribution model”, INFORMS Transactions on Education, 2010, 206, 155-167. “A hybrid scatter search heuristic for personalized crew rostering in the airline industry”, European Journal of Operational Research, 2010, 206, 155-167 (with B. Maenhout). “Branching strategies in a branch-and-price approach for a multiple objective nurse scheduling problem”, Journal of Scheduling, 2010, 13, 77-93 (with B. Maenhout). “On the dynamic use of project performance and schedule risk information during project tracking”, Omega - International Journal of Management Science, 2011, 39, 416-426. “Using resource scarceness characteristics to solve the multi-mode resource-constrained project scheduling problem”, Journal of Heuristics, 2011, To appear (with V. Van Peteghem) “An evolutionary approach for the nurse rerostering problem”, Computers and Operations Research, 2011, 38, 1400-1411 (with B. Maenhout). “Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers”, European Journal of Operational Research, 2011, to appear (with J. Coelho) “On maximizing the net present value of a project under renewable resource constraints”, Management Science. “A decomposition-based genetic algorithm for the resource-constrained project scheduling problem”, Operations Research. “On maximizing the net present value of a project under renewable resource constraints”, Management Science, 2001, 47, 1113-1121 (with E. Demeulemeester, E. and W. Herroelen). “A simulation analysis of errors in the design of costing systems”, The Accounting Review, 2007, 82, 939-962 (with E. Labro). “A decomposition-based genetic algorithm for the resource-constrained project scheduling problem”, Operations Research, 2007, 55, 457-469 (with D. Debels). “Diversity in resource consumption patterns and costing system robustness to errors”, Management Science, 2008, 54, 1715 – 1730 (with E. Labro).

  • Marie-Julie De Bruyne, Ghent University Belgium

    Marie-Julie De Bruyne is a PhD researcher at the Center for Service Intelligence, Ghent University (Belgium). During her master’s in Business Engineering (Data Analytics), she received the Project Management Award by the Project Management Institute Belgium. She was granted funding by Ghent University to study consumer engagement within the sharing economy. Her research interests also cover the broader topic of the circular economy. Marie-Julie De Bruyne is also a board member of the Alumni Association of the Ghent University honours programme Quetelet Colleges.

  • Eva Moens, Belgium

    Eva Moens graduated as a Commercial Engineer, with a specialization in Operations Management, at the University of Ghent. During her master’s, she received the Project Management Award from the Project Management Institute Belgium. Furthermore, Eva decided to do an internship at Aqtor! to broaden her knowledge in the Supply Chain environment. At the moment, Eva Moens is active as a Junior Supply Chain Consultant at EY Belgium.

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Published

2022-05-20

How to Cite

Project Recovery: Project Failures and How to Get Rid of them. (2022). The Journal of Modern Project Management, 9(1). https://doi.org/10.19255/JMPM02611

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