Vai al contenuto principale della pagina

Intelligence Optimization for Green Scheduling in Manufacturing Systems / / by Chao Lu, Liang Gao, Xinyu Li, Lvjiang Yin



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Lü Chao Visualizza persona
Titolo: Intelligence Optimization for Green Scheduling in Manufacturing Systems / / by Chao Lu, Liang Gao, Xinyu Li, Lvjiang Yin Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (xi, 250 pages) : illustrations
Disciplina: 658.53
Soggetto topico: Computational intelligence
Industrial management
Mathematical models
Computational Intelligence
Industrial Management
Mathematical Modeling and Industrial Mathematics
Persona (resp. second.): GaoLiang <1974->
LiXinyu
YinLvjiang
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Intelligence optimization for green scheduling in manufacturing systems  Visualizza cluster
ISBN: 9789819969876
9819969875
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910765485203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Engineering Applications of Computational Methods, . 2662-3374 ; ; 18