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Record Nr. |
UNINA9910407739203321 |
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Autore |
Li Xinyu |
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Titolo |
Effective Methods for Integrated Process Planning and Scheduling / / by Xinyu Li, Liang Gao |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (xvi, 462 pages) |
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Collana |
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Engineering Applications of Computational Methods, , 2662-3374 ; ; 2 |
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Disciplina |
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Soggetti |
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Industrial engineering |
Production engineering |
Artificial intelligence |
Operations research |
Application software |
Mathematical models |
Industrial and Production Engineering |
Artificial Intelligence |
Operations Research and Decision Theory |
Computer and Information Systems Applications |
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 contenuto |
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Problem Review -- Methods for single objective problem -- Methods for the Multi-objectives problem -- Dynamic scheduling -- Application. |
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Sommario/riassunto |
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This book summarizes a series of research work on integrated process planning and scheduling (IPPS) done by the authors, focusing on discussing the properties, novel solution methods and applications of process planning, scheduling and IPPS problems under different machining environments. It is a valuable reference resource for teachers, students and researchers working in the fields of engineering, management science and other related disciplines. |
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