Home > Published Issues > 2024 > Volume 13, No. 6, November 2024 >
IJEETC 2024 Vol.13(6): 478-485
doi: 10.18178/ijeetc.13.6.478-485

A CNPVaR-NPV Trade-off Model for Resource-Constrained Project Scheduling Problem Under Random Environment

Qian Zhang, Sin Yin Teh*, and Peck Yeng Sharon Cheang
School of Management, Universiti Sains Malaysia, Pulau Pinang, Malaysia
Email: zhangqian2021@student.usm.my (Q.Z.), tehsyin@usm.my (S.Y.T.), sharon@usm.my (P.Y.S.C.)
*Corresponding author

Manuscript received July 10, 2024; revised September 3, 2024; accepted September 20, 2024.

Abstract—Projects face various risks and opportunities throughout their lifecycle. Integrating risk management into the project progression is a crucial factor for project success and an essential component of project management. This paper aims to evaluate the trade-off between Conditional Net Present Value at Risk (CNPVaR) and Net Present Value (NPV) in a stochastic environment. By assuming the activity duration and cash flow as random variables and setting activity start and execution modes as decision variables, a CNPVaR-NPV trade-off model is established with the objectives of minimizing CNPVaR and maximizing NPV, under priority relationships, execution mode, resource supply, and deadlines constraints. Based on the characteristics of the model, an algorithm combining nondominated sorting genetic algorithm II and Monte Carlo simulation is designed. The HVAC system project of Dongguan Jinyun Digital Park 5# Building is used as a case study to illustrate the effectiveness of the model and the algorithm. The results show that considering the CNPVaRNPV trade-off model can effectively mitigate potential risks and reduce project losses.

 
Index Terms—Multi-mode, resource constrained project scheduling problem, Conditional Net Present Value at Risk (CNPVaR) and Net Present Value (NPV), random environment

Cite: Qian Zhang, Sin Yin Teh, and Peck Yeng Sharon Cheang, "A CNPVaR-NPV Trade-off Model for Resource-Constrained Project Scheduling Problem Under Random Environment," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 13, No. 6, pp. 478-485, 2024. doi: 10.18178/ijeetc.13.6.478-485

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.