Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hierarchical fashion. This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.
Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hier...
Cardiac Ischemia: From Injury to Protection has been divided into six parts. The first part describes the differences between hypoxia and ischemia, animal models, the effects of ischemia on myocardial function and metabolism, and the electrophysiological consequences of ischemia. The second part deals with the mechanisms of cardiomyocyte death in ischemia, structural aspects of irreversible ischemic injury, necrosis and apoptosis of cardiac cells, the role of calcium, and the concept of calcium antagonism. The third chapter is a brief description of reperfusion injury, its clinical...
Cardiac Ischemia: From Injury to Protection has been divided into six parts. The first part describes the differences between hypoxia and isc...
One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to reduce the overall complex problem into manageable approximate problems or subproblems, to solve these problems, and to construct a solution of the original problem from the solutions of these simpler prob lems. Development of such approaches for large complex systems has been identified as a particularly fruitful area by the Committee on the Next Decade in Operations Research (1988) 42] as well as by the Panel on Future Directions in Control...
One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to red...
This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.
This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential game...
Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hierarchical fashion. This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.
Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hier...
This book focuses on two-time-scale Markov chains in discrete time. Our motivation stems from existing and emerging applications in optimization and control of complex systems in manufacturing, wireless communication, and ?nancial engineering. Much of our e?ort in this book is devoted to designing system models arising from various applications, analyzing them via analytic and probabilistic techniques, and developing feasible compu- tionalschemes. Ourmainconcernistoreducetheinherentsystemcompl- ity. Although each of the applications has its own distinct characteristics, all of them are...
This book focuses on two-time-scale Markov chains in discrete time. Our motivation stems from existing and emerging applications in optimization and c...
This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.
This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential game...
This book overviews the current status of research and development activities of CNTs in nanodevices, nanomaterials, or nanofabrication. This book presents 15 state-of-the-art review articles that cover CNT synthesis technologies for growing highly orientated CNTs, chirality-pure CNTs and CNTs at a large throughput and low cost, CNT assembly techniques, CNT sorting and separation processes, CNT functionalization engineering for more functionalities, CNT fundamental properties and their practical/potential electrical, electronic, optical, mechanical, chemical and biological applications.
This book overviews the current status of research and development activities of CNTs in nanodevices, nanomaterials, or nanofabrication. This book ...
This book gives a systematic treatment of singularly perturbed systems that naturally arise in control and optimization, queueing networks, manufacturing systems, and financial engineering. It presents results on asymptotic expansions of solutions of Komogorov forward and backward equations, properties of functional occupation measures, exponential upper bounds, and functional limit results for Markov chains with weak and strong interactions. To bridge the gap between theory and applications, a large portion of the book is devoted to applications in controlled dynamic systems, production...
This book gives a systematic treatment of singularly perturbed systems that naturally arise in control and optimization, queueing networks, manufactur...
One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to reduce the overall complex problem into manageable approximate problems or subproblems, to solve these problems, and to construct a solution of the original problem from the solutions of these simpler prob lems. Development of such approaches for large complex systems has been identified as a particularly fruitful area by the Committee on the Next Decade in Operations Research (1988) 42] as well as by the Panel on Future Directions in Control...
One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to red...
