A planning system must reason about the uncertainty of continuous variables in order to accurately project the possible system state over time. A method is devised for directly reasoning about the uncertainty in continuous activity duration and resource usage for planning problems. By representing random variables as parametric distributions, computing projected system state can be simplified i...

Today, the construction industry is facing intense competition and success in this competition depends on several factors. Project managers try to minimize project time and cost, carbon dioxide emission and at the same time maximizing the quality of project and its plan robustness. In this paper, study construction project scheduling considering a discrete trade-off between time, cost, quality,...

There is increasing interest in long-term plans that can adapt to changing situations under conditions of deep uncertainty. We argue that a sustainable plan should not only achieve economic, environmental, and social objectives, but should be robust and able to be adapted over time to (unforeseen) future conditions. Large numbers of papers dealing with robustness and adaptive plans have begun t...

Since there are obvious uncertainties in task duration, the uncertainty will be passed step by step due to the precedence relationships among tasks. Therefore, one should pay attention to the robustness of project plan when scheduling the project. In this paper, the project plan robustness is evaluated as the probability of completing the project in the planning duration, the Monte Carlo method...

This paper considers the problem of stochastic robustness testing for plans. As many authors have observed, unforeseen execution-time variations, both in the effects of actions and in the times at which they occur, can result in a plan failing to execute correctly even when it is valid with respect to a domain model. In this paper we contrast the validation of a plan with respect to a domain mo...

When multiple agents act concurrently towards achieving their goals in a shared environment, interactions between their actions may arise, affecting the outcome of their plans. We propose an approach to planning in such environments, termed interference robustness optimization planning that builds upon the HTN planning paradigm and extends it with explicit consideration and optimization of plan...

Robustness is vital in some scheduling and temporal planning problems, such as evacuation planning (Even, Pillac, and Hentenryck 2014). However, it is hard to measure robustness directly, so some metrics measuring relative features have been introduced (e.g., Cesta, Oddi, and Smith 1998; Aloulou and Portmann 2003; Wilson et al. 2014), as well as algorithms for finding high-robustness schedules ...