Efficient approximation algorithms for the routing open shop problem

We consider the routing open shop problem being a generalization of two classical discrete optimization problems: the open shop scheduling problem and the metric traveling salesman problem. The jobs are located at nodes of some transportation network, and the machines travel on the network to execut...

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Veröffentlicht in:Computers & operations research Jg. 40; H. 3; S. 841 - 847
Hauptverfasser: Chernykh, Ilya, Kononov, Alexander, Sevastyanov, Sergey
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier Ltd 01.03.2013
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Abstract We consider the routing open shop problem being a generalization of two classical discrete optimization problems: the open shop scheduling problem and the metric traveling salesman problem. The jobs are located at nodes of some transportation network, and the machines travel on the network to execute the jobs in the open shop environment. The machines are initially located at the same node (depot) and must return to the depot after completing all the jobs. It is required to find a non-preemptive schedule with the minimum makespan. The problem is NP-hard even on the two-node network with two machines. We present new polynomial-time approximation algorithms with worst-case performance guarantees.
AbstractList We consider the routing open shop problem being a generalization of two classical discrete optimization problems: the open shop scheduling problem and the metric traveling salesman problem. The jobs are located at nodes of some transportation network, and the machines travel on the network to execute the jobs in the open shop environment. The machines are initially located at the same node (depot) and must return to the depot after completing all the jobs. It is required to find a non-preemptive schedule with the minimum makespan. The problem is NP-hard even on the two-node network with two machines. We present new polynomial-time approximation algorithms with worst-case performance guarantees.
We consider the routing open shop problem being a generalization of two classical discrete optimization problems: the open shop scheduling problem and the metric traveling salesman problem. The jobs are located at nodes of some transportation network, and the machines travel on the network to execute the jobs in the open shop environment. The machines are initially located at the same node (depot) and must return to the depot after completing all the jobs. It is required to find a non-preemptive schedule with the minimum makespan. The problem is NP-hard even on the two-node network with two machines. We present new polynomial-time approximation algorithms with worst-case performance guarantees. [PUBLICATION ABSTRACT]
Author Chernykh, Ilya
Kononov, Alexander
Sevastyanov, Sergey
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  surname: Chernykh
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  givenname: Alexander
  surname: Kononov
  fullname: Kononov, Alexander
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  givenname: Sergey
  surname: Sevastyanov
  fullname: Sevastyanov, Sergey
  email: seva@math.nsc.ru
  organization: Sobolev Institute of Mathematics, Acad. Koptyug pr. 4, 630090 Novosibirsk, Russia
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Issue 3
Keywords Approximation algorithm
Worst-case analysis
Routing open shop
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Snippet We consider the routing open shop problem being a generalization of two classical discrete optimization problems: the open shop scheduling problem and the...
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SubjectTerms Algorithms
Approximation
Approximation algorithm
Computer networks
Job shops
Machine shops
Mathematical analysis
Mathematical problems
Networks
Optimization algorithms
Route optimization
Routing (machining)
Routing (telecommunications)
Routing open shop
Studies
Traveling salesman problem
Worst-case analysis
Title Efficient approximation algorithms for the routing open shop problem
URI https://dx.doi.org/10.1016/j.cor.2012.01.006
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