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
Elsevier
Pergamon Press Inc
Schlagworte:
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
Approximation algorithm
Worst-case analysis
Routing open shop
ISSN:0305-0548, 1873-765X, 0305-0548
Online-Zugang:Volltext
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Zusammenfassung: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.
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ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/j.cor.2012.01.006