Real time management of resource allocation systems reveliotis spyros a. Real 2019-03-08

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real time management of resource allocation systems reveliotis spyros a

The resulting problem is rather novel for the developers of these systems, since, in the past, many of its facets were left to the jurisdiction of the present human intelligence. It is also complex, due to the high levels of choice — otherwise known as flexibility — inherent in the operation of these environments. Building upon a series of fairly recent results from Discrete Event Systems theory, the proposed paradigm is distinguished by: i its robustness to the experienced stochasticities and operational contingencies; ii its scalability to the large-scale nature of the target technological applications; and iii its operational efficiency. A distinct trait of all these applications is that they limit the role of the human element to remote high-level supervision, while placing the burden of the real-time monitoring and coordination of the ongoing activity upon a computerized control system. A notion of optimal control is formulated for each of these problems, but it turns out that the corresponding optimal policies are computationally intractable. Hence, any applicable control paradigm must address not only the issues of throughput maximization, work-in-process inventory reduction, and delay and cost minimization, that have been the typical concerns for past studies on resource allocation, but it must also guarantee the operational correctness and the behavioral consistency of the underlying automated system. Hence, a large part of the book is devoted to the development of effective and computationally efficient approximations for these optimal control policies, especially for those that correspond to the more novel logical control problem.

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real time management of resource allocation systems reveliotis spyros a

Real-Time Management of Resource Allocations Systems: A Discrete Event Systems Approach By Spyros A. A distinct trait of all these applications is that they limit the role of the human element to remote high-level supervision, while placing the burden of the real-time monitoring and coordination of the ongoing activity upon a computerized control system. Hence, a large part of the book is devoted to the development of effective and computationally efficient approximations for these optimal control policies, especially for those that correspond to the more novel logical control problem. It is also complex, due to the high levels of choice - otherwise known as flexibility - inherent in the operation of these environments. A notion of optimal control is formulated for each of these problems, but it turns out that the corresponding optimal policies are computationally intractable. A distinct trait of all these applications is that they limit the role of the human element to remote high-level supervision, while placing the burden of the real-time monitoring and coordination of the ongoing activity upon a computerized control system. The resulting problem is rather novel for the developers of these systems, since, in the past, many of its facets were left to the jurisdiction of the present human intelligence.

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real time management of resource allocation systems reveliotis spyros a

Reveliotis Author: Spiridon Reveliotis Subject: Industrial and Control Engineering-General Subject: Industrial engineering Subject: Appl. Hence, any applicable control paradigm must address not only the issues of throughput maximization, work-in-process inventory reduction, and delay and cost minimization, that have been the typical concerns for past studies on resource allocation, but it must also guarantee the operational correctness and the behavioral consistency of the underlying automated system. The resulting problem is rather novel for the developers of these systems, since, in the past, many of its facets were left to the jurisdiction of the present human intelligence. . It is also complex, due to the high levels of choice - otherwise known as flexibility - inherent in the operation of these environments. Hence, any applicable control paradigm must address not only the issues of throughput maximization, work-in-process inventory reduction, and delay and cost minimization, that have been the typical concerns for past studies on resource allocation, but it must also guarantee the operational correctness and the behavioral consistency of the underlying automated system. Building upon a series of fairly recent results from Discrete Event Systems theory, the proposed paradigm is distinguished by: i its robustness to the experienced stochasticities and operational contingencies; ii its scalability to the large-scale nature of the target technological applications; and iii its operational efficiency.

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