Many applications of autonomous agents require groups to work in tight coordination. To be dependable, these groups must plan, carry out and adapt their activities in a way that is robust to failure and to uncertainty. Previous work developed contingent, temporally flexible plans. These plans provide robustness to uncertain activity durations, through flexible timing constraints, and robustness...

in this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. a two-stage stochastic linear programming approach is used to maximize the expected profit. decisions such as the production amount, the inventory level of finished and semi-finished product, t...

In previous work we have investigated a framework for distributed temporal plan repair. Using temporal constraints for activities to be executed, we developed a distributed algorithm capable of dealing with temporal changes (disruptions) in these constraints to perform fast plan repair. This framework, however, did not include resource management issues. In this paper, first of all, we extend o...

We define the robustness of a sequential plan as the probability that it will execute successfully despite uncertainty in the execution environment. We consider a rich notion of uncertainty over continuous domains that includes stochastic action effects, and changes to state variables due to unpredictable exogenous events. Given a characterization of this uncertainty in terms of probability dis...

A method is presented for the robust design of ¯exible manufacturing systems (FMS) that undergo the forecasted product plan variations. The resource allocation and the operation schedule of a FMS are modeled as a colored Petri net and an associated transition ®ring sequence. The robust design of the colored Petri net model is formulated as a multi-objective optimization problem that simultaneou...

a common problem arising in project management is the fact that the baseline schedule is often disrupted during the project execution because of uncertain parameters. as a result, project managers are often unable to meet the deadline time of the milestones. robust project scheduling is an effective approach in case of uncertainty. upon adopting this approach, schedules are protected against po...

Automated planning is a well-established field of artificial intelligence (AI), with applications in route finding, robotics and operational research, among others. The task of developing a plan is often solved by finding a path in a graph representing the search domain; a robust plan consists of numerous paths that can be chosen if the execution of the best (optimal) one fails. While robust pl...

an optimal desirability function method is proposed to optimize multiple responses in multiple production scenarios, simultaneously. in dynamic environments, changes in production requirements in each condition create different production scenarios. therefore, in multiple production scenarios like producing in several production lines with different technologies in a factory, various fitted res...