An Ant Colony Algorithm (ACA): for solving the new integrated model of job shop scheduling and conflict-free routing of AGVs - Couverture souple
Synopsis
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).
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An Ant Colony Algorithm (ACA)
Edité par
LAP LAMBERT Academic Publishing Jan 2019, 2019
ISBN 10 : 3330025840
ISBN 13 : 9783330025844
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783330025844
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An Ant Colony Algorithm (ACA)
Edité par
LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3330025840
ISBN 13 : 9783330025844
Neuf
Couverture souple
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Etat : 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 . N° de réf. du vendeur 385646880
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An Ant Colony Algorithm (ACA)
Edité par
LAP LAMBERT Academic Publishing Jan 2019, 2019
ISBN 10 : 3330025840
ISBN 13 : 9783330025844
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. 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).Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. N° de réf. du vendeur 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
Edité par
LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3330025840
ISBN 13 : 9783330025844
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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). N° de réf. du vendeur 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
Edité par
LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3330025840
ISBN 13 : 9783330025844
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. An Ant Colony Algorithm (ACA) | for solving the new integrated model of job shop scheduling and conflict-free routing of AGVs | Saeed Dehnavi-Arani | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783330025844 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 115353235
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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
Edité par
LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3330025840
ISBN 13 : 9783330025844
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Couverture souple
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 52 | Sprache: Englisch | Produktart: Bücher | 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). N° de réf. du vendeur 33557506/2
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