Описание: This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.
Автор: Baoding Liu; Augustine O. Esogbue Название: Decision Criteria and Optimal Inventory Processes ISBN: 146137345X ISBN-13(EAN): 9781461373452 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes.
Автор: V. G. Kulkarni Название: Introduction to Modeling and Analysis of Stochastic Systems ISBN: 1461427355 ISBN-13(EAN): 9781461427353 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs on MATLAB, is made available for downloading. Vidyadhar G. Kulkarni is Professor of Operations Research at the University of North Carolina at Chapel Hill.
Автор: S. Balemi; P. Koz?k; R. Smedinga Название: Discrete Event Systems: Modeling and Control ISBN: 3034899165 ISBN-13(EAN): 9783034899161 Издательство: Springer Рейтинг: Цена: 11173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Research of discrete event systems is strongly motivated by applications in flex- ible manufacturing, in traffic control and in concurrent and real-time software verification and design, just to mention a few important areas.
Автор: Baoding Liu; Augustine O. Esogbue Название: Decision Criteria and Optimal Inventory Processes ISBN: 0792384687 ISBN-13(EAN): 9780792384687 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a theoretical and practical introduction to decision criteria and inventory processes. This title presents Inventory theory by focusing on the analysis and processes underlying decision criteria. It pays special attention to the analysis of some theoretical and applied aspects of fuzzy criteria and dynamic fuzzy criterion models.
Описание: This book presents models for the simultaneous optimization problem of capacity investment and work release rule parameterization, examines make-to-order production systems with serial processing stages, and introduces an endogenous production lead time.
Автор: David D. Yao; Shaohui Zheng Название: Dynamic Control of Quality in Production-Inventory Systems ISBN: 1468492497 ISBN-13(EAN): 9781468492491 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Looks at quality management in a new way; Offers a very different mathematical tool set than traditionally employed for quality control problems; Yao is a leading researcher in the area of stochastic modeling and the author of a previous Springer book
Автор: George Liberopoulos; Chrissoleon T. Papadopoulos; Название: Stochastic Modeling of Manufacturing Systems ISBN: 3642065880 ISBN-13(EAN): 9783642065880 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Manufacturing systems rarely perform exactly as expected and predicted. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches.
Автор: David D. Yao Название: Stochastic Modeling and Analysis of Manufacturing Systems ISBN: 1461276284 ISBN-13(EAN): 9781461276289 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling.
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