In their article devoted to exploring the utility of the critical path method, Deac and Vrîncut (2012) explain how it might be considered one of the possible ways to manage projects properly. It is aimed at finding what timespan is the shortest for a project to be completed in, taking into account the longest path through the tasks that have to be conducted. However, it has been found to be disadvantageous due to a number of shortcomings, such as not making allowance for the link between resources and tasks and using time reserves insufficiently. The only way for it to stay in the competition is to be thoroughly improved.
One of the attempts to improve it was made with the help of the Dragonfly Algorithm – or DA. Adibhesami et al. (2019) simulated and analyzed regular and splotched dragonfly patterns and, as a result, obtained a detailed algorithm of achievable paths with the least amount of time and cost for each activity. This algorithm’s purpose was to reduce the constraints and increase the computational efficiency of classic critical path method (CPM) analysis. The outcomes of the simulation of utilizing the Dragonfly Algorithm in CPM showed the longest pathway in the shortest timespan with the lowest possible cost. This response to CPM network analysis is able to supply project management with quite a practical tool.
When improved – one way or another – CPM can be even more effective in providing the benefits that it is known for providing. For instance, bases can become more detailed in determining how objectives can be reached. Network diagrams can be more precise in showing projected outcomes, while procedures for documenting a project – are even more concise. In addition, team perception can be further strengthened and the approach to communicating project circumstances can be developed more thoroughly.
References
Adibhesami, M. A., Ekhlassi, A., Mosadeghrad, A. M., & Mohebifar, A. (2019). Improving time-cost balance in critical path method (CPM) using Dragonfly Algorithm (DA). International Journal of Industrial Engineering & Production Research, 30(2), 187-194. Web.
Deac, V., & Vrîncut, M. (2012). Qualitative techniques for project management: II. A modern approach to the critical path. Calitatea, 13(129), 79.