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In this paper, we describe a knowledge-based system for factory scheduling that dynamically focuses its decision-making according to characteristics of current solution constraints. Both problem decomposition and subproblem solution rely on knowledge of the time and resource capacity constraints that are imposed by the current factory state and the(More)
To be useful in practice, a factory production schedule must reflect the influence of a large and conflicting set of requirements, objectives and preferences. Human schedulers are typically overburdened by the complexity of this task, and conventional computer-based scheduling systems consider only a small fraction of the relevant knowledge. This article(More)
Problems requiring the synthesis of a collection of plans accomplishing distinct (but mostly related) goals has received increasing attention within Al. Such problems are typically formulated as multiagent planning problems, emphasizing a problem decomposition wherein individual agents assume responsibility for the generation of individual plans while(More)
This paper presents a virtual private network traffic pricing model with first-in-first-out and round-robin bandwidth scheduling. A transaction-level pricing architecture based on proxy server technology is proposed for the implementation. The experiment us ing real-time test data shows that the pricing mechanism can effectively improve a VPN's transmission(More)
To be useful in practice, a factory production schedule must reflect the influence of a large and conflicting set of requirements, objectives and preferences. Human schedulers are typically overburdened by the complexity of this task, and conventional computer-based scheduling systems consider only a small fraction of the relevant knowledge. This article(More)
Scheduling complex tasks is a difficult and ill-structured problem. Totally automated solutions to certain scheduling problems have certainly been achieved; however, other types of scheduling tasks do not yield easily to traditional solution methods. The latter tasks often involve both quantitative and qualitative constraints as well as changing preferences(More)