Abstract: The problem we tackle is progressive scheduling with temporal and resource uncertainty. Operation durations are imprecise and alternative resources may break down. Operation end times and resource breakdowns are observed during execution. In this paper, we assume we have a representation of uncertainty in the form of probability distributions which are used in the simulation of schedule execution. We generate the schedule piece by piece during execution and use simulation to monitor the execution of the partial schedule. This paper describes the basis on which the decision to select and schedule a new subset of operations is made. Copyright c © 2006 IFA
This work proposes an agent-based simulation system to address challenges in resource constrained mu...
This paper considers the problem of generating partial or-der schedules (POS), that is, schedules wh...
In real-world project scheduling applications, activity durations are often uncertain. Proactive sch...
The problem we tackle is on-line rescheduling with temporal uncertainty, activity durations are unce...
The problem we tackle is on-line rescheduling with temporal uncertainty, activity durations are unce...
The project scheduling problem domain is an important research and applications area of engineering ...
The project scheduling problem domain is an important research and applications area of engineering ...
In this paper, we describe an approach to scheduling under uncertainty that achieves scalability thr...
Abstract. In the context of Scheduling under uncertainty, Partial Order Schedules (POS) provide a co...
The uncertain environment in which construction projects are executed poses a challenge to project m...
Robustness is essential for schedules if they are being executed under uncertain conditions. In this...
During execution of a schedule some uncertain events may take place for example: resources may becom...
The purpose of this paper is to propose models for project scheduling when there is considerable unc...
In this paper, we present a new method for finding robust solutions to mixed-integer linear programs...
The purpose of this thesis is to provide new insights in how to solve different scheduling and seque...
This work proposes an agent-based simulation system to address challenges in resource constrained mu...
This paper considers the problem of generating partial or-der schedules (POS), that is, schedules wh...
In real-world project scheduling applications, activity durations are often uncertain. Proactive sch...
The problem we tackle is on-line rescheduling with temporal uncertainty, activity durations are unce...
The problem we tackle is on-line rescheduling with temporal uncertainty, activity durations are unce...
The project scheduling problem domain is an important research and applications area of engineering ...
The project scheduling problem domain is an important research and applications area of engineering ...
In this paper, we describe an approach to scheduling under uncertainty that achieves scalability thr...
Abstract. In the context of Scheduling under uncertainty, Partial Order Schedules (POS) provide a co...
The uncertain environment in which construction projects are executed poses a challenge to project m...
Robustness is essential for schedules if they are being executed under uncertain conditions. In this...
During execution of a schedule some uncertain events may take place for example: resources may becom...
The purpose of this paper is to propose models for project scheduling when there is considerable unc...
In this paper, we present a new method for finding robust solutions to mixed-integer linear programs...
The purpose of this thesis is to provide new insights in how to solve different scheduling and seque...
This work proposes an agent-based simulation system to address challenges in resource constrained mu...
This paper considers the problem of generating partial or-der schedules (POS), that is, schedules wh...
In real-world project scheduling applications, activity durations are often uncertain. Proactive sch...