Process Planning and Scheduling for Distributed Manufacturing, Lihui Wang; Weiming Shen
Автор: Palmer Richard, Palmer Название: Maintenance Planning and Scheduling Handbook 3/E ISBN: 007178411X ISBN-13(EAN): 9780071784115 Издательство: McGraw-Hill Рейтинг: Цена: 89220.00 T Наличие на складе: Невозможна поставка. Описание: Fully updated and revised throughout, this is a new edition of the bestselling blockbuster that set the industry standard for maintenance planning.
Автор: T`kindt Vincent, Billaut Jean-Charles, Scott H. Название: Multicriteria Scheduling / Theory, Models and Algorithms ISBN: 3540282300 ISBN-13(EAN): 9783540282303 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Scheduling and multicriteria optimisation theory have been subject, separately, to numerous studies. Since the last twenty years, multicriteria scheduling problems have been subject to a growing interest. However, a gap between multicriteria scheduling approaches and multicriteria optimisation field exits. This book is an attempt to collect the elementary of multicriteria optimisation theory and the basic models and algorithms of multicriteria scheduling. It is composed of numerous illustrations, algorithms and examples which may help the reader in understanding the presented concepts. This book covers general concepts such as Pareto optimality, complexity theory, and general method for multicriteria optimisation, as well as dedicated scheduling problems and algorithms: just-in-time scheduling, flexibility and robustness, single machine problems, parallel machine problems, shop problems, etc. The second edition contains revisions and new material.
Автор: Raymond Chiong; Sandeep Dhakal Название: Natural Intelligence for Scheduling, Planning and Packing Problems ISBN: 3642040381 ISBN-13(EAN): 9783642040382 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Natural intelligence based approaches for scheduling, planning and packing are discussed as a means to draw inspiration from nature. Evolutionary algorithms, ant colony optimisation and raindrop optimisation are among the solutions presented.
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