Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization prob
Planning and controlling production in a large make-to-order manufacturing network poses complex and...
A temporal flexible planning problem can be formulated as a simple temporal network with uncertainty...
The design of temporal networks typically follows a top-down approach where a designer handcrafts a ...
A wide variety of decision problems in operations research are defined on temporal networks, that i...
Temporal networks describe workflows of time-consuming tasks whose processing order is constrained b...
Temporal networks are data structures for representing and reasoning about temporal constraints on a...
This paper concerns networks of precedence constraints between tasks with random durations, known as...
This paper concerns networks of precedence constraints between tasks with random durations, known as...
Abstract: The Simple Temporal Network with Uncertainty (STNU) model focuses on the representation an...
International audienceGiven an activity-on-node network where every activity has an uncertain durati...
Dynamically controllable simple temporal networks with uncertainty (STNU) are widely used to represe...
This article proposes accounting for uncertainty factors in a dynamic optimization model. Accounting...
The Simple Temporal Network with Uncertainty (STNU) model focuses on the representation and evaluati...
Simple Temporal Networks (STNs) have proved useful in ap-plications that involve metric time. Howeve...
The Simple Temporal Network with Uncertainty (STNU) model focuses on the representation and evaluati...
Planning and controlling production in a large make-to-order manufacturing network poses complex and...
A temporal flexible planning problem can be formulated as a simple temporal network with uncertainty...
The design of temporal networks typically follows a top-down approach where a designer handcrafts a ...
A wide variety of decision problems in operations research are defined on temporal networks, that i...
Temporal networks describe workflows of time-consuming tasks whose processing order is constrained b...
Temporal networks are data structures for representing and reasoning about temporal constraints on a...
This paper concerns networks of precedence constraints between tasks with random durations, known as...
This paper concerns networks of precedence constraints between tasks with random durations, known as...
Abstract: The Simple Temporal Network with Uncertainty (STNU) model focuses on the representation an...
International audienceGiven an activity-on-node network where every activity has an uncertain durati...
Dynamically controllable simple temporal networks with uncertainty (STNU) are widely used to represe...
This article proposes accounting for uncertainty factors in a dynamic optimization model. Accounting...
The Simple Temporal Network with Uncertainty (STNU) model focuses on the representation and evaluati...
Simple Temporal Networks (STNs) have proved useful in ap-plications that involve metric time. Howeve...
The Simple Temporal Network with Uncertainty (STNU) model focuses on the representation and evaluati...
Planning and controlling production in a large make-to-order manufacturing network poses complex and...
A temporal flexible planning problem can be formulated as a simple temporal network with uncertainty...
The design of temporal networks typically follows a top-down approach where a designer handcrafts a ...