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Presents strategies with reachability graph analysis for optimizing resource allocation systems Supervisory Control and Scheduling of Resource Allocation Systems offers an important guide to Petri net (PN) models and methods for supervisory control and system scheduling of resource allocation systems (RASs). Resource allocation systems are common in automated manufacturing systems, project management systems, cloud data centers, and software engineering systems. The authors—two experts on the topic—present a definition, techniques, models, and state-of-the art applications of supervisory control and scheduling problems. The book introduces the basic concepts and research background on resource allocation systems and Petri nets. The authors then focus on the deadlock-free supervisor synthesis for RASs using Petri nets. The book also investigates the heuristic scheduling of RASs based on timed Petri nets. Conclusions and open problems are provided in the last section of the book. This important book: Includes multiple methods for supervisory control and scheduling with reachability graphs, and provides illustrative examples Reveals how to accelerate the supervisory controller design and system scheduling of RASs based on PN reachability graphs, with optimal or near-optimal results Highlights both solution quality and computational speed in RAS deadlock handling and system scheduling Written for researchers, engineers, scientists, and professionals in system planning and control, engineering, operation, and management, Supervisory Control and Scheduling of Resource Allocation Systems provides an essential guide to the supervisory control and scheduling of resource allocation systems (RASs) using Petri net reachability graphs, which allow for multiple resource acquisitions and flexible routings.
The problem addressed in this document concerns the coordinated allocation of a finite set of reusable resources to a set of concurrently running processes. These processes execute in a staged manner, and each stage requires a different subset of the system resources for its support. Furthermore, processes will hold upon the resources currently allocated to them until they will secure the necessary resources for their next processing stage. Such resource allocation dynamics currently arise in the context of many flexibly automated operations: from the workflow that takes place in various production shop floors and certain internet-supported platforms that seek to automate various service operations; to the traffic coordination in guidepath-based transport systems like industrial monorail and urban railway systems; to the resource allocation that takes place in the context of the contemporary multi-core computer architectures. From a theoretical standpoint, the resource allocation problems that are abstracted from the aforementioned applications, correspond to the problem of scheduling a stochastic network with blocking and deadlocking effects. This is an area of the modern scheduling theory with very limited results. To a large extent, this lack of results is due to the intricacies that arise from the blocking, and especially the deadlocking effects that take place in these networks, and prevents a tractable analysis of these problems through the classical modeling frameworks. Hence, the departing thesis of the work that is presented in this document, is the decomposition of the aforementioned scheduling problems to (i) a supervisory control problem that will seek to prevent the deadlock formation in the underlying resource allocation dynamics, and (ii) a scheduling problem that will be formulated on the admissible subspace to be defined by the adopted supervisory control policy. Each of these two subproblems can be further structured and addressed using some formal modeling frameworks borrowed, respectively, from the qualitative and the quantitative theory of Discrete Event Systems. At the same time, the above two subproblems possess considerable special structure that can be leveraged towards their effective and efficient solution. The presented material provides a comprehensive tutorial exposition of the current achievements of the corresponding research community with respect to the first of the two subproblems mentioned above. As it will be revealed by this exposition, the corresponding results are pretty rich in their theoretical developments and practically potent. At the same time, it is expected and hoped that the resulting awareness regarding the aforementioned results will also set the stage for undertaking a more orchestrated effort on the second of the two subproblems mentioned above.
Real-Time Management of Resource Allocation Systems focuses on the problem of managing the resource allocation taking place within the operational context of many contemporary technological applications, including flexibly automated production systems, automated railway and/or monorail transportation systems, electronic workflow management systems, and business transaction supporting systems. 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, 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.
Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Effective Resource Management in Manufacturing Systems aims to provide methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns. This book will be bought by postgraduate students of business, engineering and computer science as well as researchers in these fields. It will also be of interest to practitioners in manufacturing systems and operations managers in industry.
Process Systems Engineering brings together the international community of researchers and engineers interested in computing-based methods in process engineering. This conference highlights the contributions of the PSE community towards the sustainability of modern society and is based on the 13th International Symposium on Process Systems Engineering PSE 2018 event held San Diego, CA, July 1-5 2018. The book contains contributions from academia and industry, establishing the core products of PSE, defining the new and changing scope of our results, and future challenges. Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment and health) and contribute to discussions on the widening scope of PSE versus the consolidation of the core topics of PSE. Highlights how the Process Systems Engineering community contributes to the sustainability of modern society Establishes the core products of Process Systems Engineering Defines the future challenges of Process Systems Engineering
Industrial Process Automation Systems: Design and Implementation is a clear guide to the practicalities of modern industrial automation systems. Bridging the gap between theory and technician-level coverage, it offers a pragmatic approach to the subject based on industrial experience, taking in the latest technologies and professional practices.Its comprehensive coverage of concepts and applications provides engineers with the knowledge they need before referring to vendor documentation, while clear guidelines for implementing process control options and worked examples of deployments translate theory into practice with ease.This book is an ideal introduction to the subject for junior level professionals as well as being an essential reference for more experienced practitioners. Provides knowledge of the different systems available and their applications, enabling engineers to design automation solutions to solve real industry problems Includes case studies and practical information on key items that need to be considered when procuring automation systems Written by an experienced practitioner from a leading technology company
A detailed description of the monitor, the supervisory unit that exercises overall control of the JOSS system's operation. The monitor acts as a scheduling, resource-allocating, and synchronizing device, deciding priority and ensuring that all data and hardware necessary for a particular action are simultaneously available. This Memorandum covers the priority queue structure, the hardware components comprising the JOSS computer system and their function in the JOSS environment, and instructions for operations of the JOSS system.
The two volumes IFIP AICT 459 and 460 constitute the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2015, held in Tokyo, Japan, in September 2015. The 163 revised full papers were carefully reviewed and selected from 185 submissions. They are organized in the following topical sections: collaborative networks; globalization and production management; knowledge based production management; project management, engineering management, and quality management; sustainability and production management; co-creating sustainable business processes and ecosystems; open cloud computing architecture for smart manufacturing and cyber physical production systems; the practitioner's view on "innovative production management towards sustainable growth"; the role of additive manufacturing in value chain reconfiguration and sustainability; operations management in engineer-to-order manufacturing; lean production; sustainable system design for green products; cloud-based manufacturing; ontology-aided production - towards open and knowledge-driven planning and control; product-service lifecycle management: knowledge-driven innovation and social implications; and service engineering.
This book constitutes the refereed post-conference proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2016, held in Iguassu Falls, Brazil, in September 2016. The 117 revised full papers were carefully reviewed and selected from 164 submissions. They are organized in the following topical sections: computational intelligence in production management; intelligent manufacturing systems; knowledge-based PLM; modelling of business and operational processes; virtual, digital and smart factory; flexible, sustainable supply chains; large-scale supply chains; sustainable manufacturing; quality in production management; collaborative systems; innovation and collaborative networks; agrifood supply chains; production economics; lean manufacturing; cyber-physical technology deployments in smart manufacturing systems; smart manufacturing system characterization; knowledge management in production systems; service-oriented architecture for smart manufacturing systems; advances in cleaner production; sustainable production management; and operations management in engineer-to-order manufacturing.