In this paper, the risk of schedule in a project under randomness of both time and cost is analyzed. A model called DSPSP is proposed to determine optimal delay time for each activity so as to maximize the project's expected net present value in terms of financial cost and the risk of delaying the cash inflow. Duration and cost of each activity are dependent discrete random variables. The optimization result of two instances using a simulated annealing procedure is much better than the two extreme strategie...
Jia Min WANG
, Yong Guang SUN
, Zong Xin WU. , {{custom_author.name_en}}.
Optimal Scheduling under Probabilistic Time and Cost. Systems Engineering - Theory & Practice, 2002, 22(1): 93-98 https://doi.org/10.12011/1000-6788(2002)1-93