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An Ant Colony Algorithm (ACA): for solving the new integrated model of job shop scheduling and conflict-free routing of AGVs - Brossura
- EditoreLAP LAMBERT Academic Publishing
- Data di pubblicazione2019
- ISBN 10 3330025840
- ISBN 13 9783330025844
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione1
- Numero di pagine52
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An Ant Colony Algorithm (ACA)
Editore:
LAP LAMBERT Academic Publishing Jan 2019, 2019
ISBN 10: 3330025840
ISBN 13: 9783330025844
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This paper concerns the Job Shop Scheduling Problem (JSSP) considering the transportation times of the jobs from one machine to another. The goal of a basic JSSP is to determine starting and ending times for each job in which the objective function can be optimized. In here, several Automated Guided Vehicles (AGVs) have been employed to transfer the jobs between machines and warehouse located at the production environment. Unlike the advantages of implemented automatic transportation system, if they are not controlled along the routes, it is possible that the production system encounters breakdown. Therefore, the Conflict-Free Routing Problem (CFRP) for AGVs is considered as well as the basic JSSP. Hence, we proposed a mathematical model which is composed of JSSP and CFRP, simultaneously and since the problem under study is NP-hard, a two stage Ant Colony Algorithm (ACA) is also proposed. The objective function is to minimize the total completion time (make-span). 52 pp. Englisch. Codice articolo 9783330025844
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An Ant Colony Algorithm (ACA) : for solving the new integrated model of job shop scheduling and conflict-free routing of AGVs
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3330025840
ISBN 13: 9783330025844
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper concerns the Job Shop Scheduling Problem (JSSP) considering the transportation times of the jobs from one machine to another. The goal of a basic JSSP is to determine starting and ending times for each job in which the objective function can be optimized. In here, several Automated Guided Vehicles (AGVs) have been employed to transfer the jobs between machines and warehouse located at the production environment. Unlike the advantages of implemented automatic transportation system, if they are not controlled along the routes, it is possible that the production system encounters breakdown. Therefore, the Conflict-Free Routing Problem (CFRP) for AGVs is considered as well as the basic JSSP. Hence, we proposed a mathematical model which is composed of JSSP and CFRP, simultaneously and since the problem under study is NP-hard, a two stage Ant Colony Algorithm (ACA) is also proposed. The objective function is to minimize the total completion time (make-span). Codice articolo 9783330025844
Quantità: 1 disponibili
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An Ant Colony Algorithm (ACA) : for solving the new integrated model of job shop scheduling and conflict-free routing of AGVs
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3330025840
ISBN 13: 9783330025844
Antico o usato
Brossura
Da: Buchpark, Trebbin, Germania
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Condizione: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 52 | Sprache: Englisch | Produktart: Bücher. Codice articolo 33557506/2
Quantità: 1 disponibili
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An Ant Colony Algorithm (ACA)
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3330025840
ISBN 13: 9783330025844
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dehnavi-Arani SaeedPhd Candidate currently works at the Department of Industrial Engineering, Yazd University. Saeed. does research in Industrial Engineering. Their current project is role of AGVs in Cellular Manufacturing Systems . Codice articolo 385646880
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