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Record Nr. |
UNINA9910765485203321 |
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Autore |
Lü Chao |
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Titolo |
Intelligence Optimization for Green Scheduling in Manufacturing Systems / / by Chao Lu, Liang Gao, Xinyu Li, Lvjiang Yin |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (xi, 250 pages) : illustrations |
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Collana |
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Engineering Applications of Computational Methods, , 2662-3374 ; ; 18 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Industrial management |
Mathematical models |
Computational Intelligence |
Industrial Management |
Mathematical Modeling and Industrial Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. System overview -- 2. Green scheduling in single machine environment -- 3. Green scheduling in permutation flow shop environment -- 4. Green scheduling in hybrid flow shop environment -- 5. Green scheduling in job shop environment. |
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Sommario/riassunto |
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This book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications. |
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