Periodic scheduling of a transporting robot under incomplete input data: A fuzzy approach

Eugene Levner; Leonid Meyzin; Alexander Ptuskin

doi:10.1016/s0165-0114(96)00387-9

Periodic scheduling of a transporting robot under incomplete input data: A fuzzy approach

Eugene Levner, Leonid Meyzin, Alexander Ptuskin

Research output: Contribution to journal › Article › peer-review

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Abstract

We consider a problem of scheduling a transporting robot in a production line in which information about operation durations may be incomplete or uncertain. The vague input data are modelled by fuzzy numbers. A numerical algorithm based on operations over the fuzzy numbers is developed, and an example is provided to demonstrate the validity of our model.

Original language	English
Pages (from-to)	255-266
Number of pages	12
Journal	Fuzzy Sets and Systems
Volume	98
Issue number	3
DOIs	https://doi.org/10.1016/s0165-0114(96)00387-9
State	Published - 1998
Externally published	Yes

Keywords

Fuzzy scheduling
Periodic scheduling
Transporting robot

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10.1016/s0165-0114(96)00387-9

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title = "Periodic scheduling of a transporting robot under incomplete input data: A fuzzy approach",

abstract = "We consider a problem of scheduling a transporting robot in a production line in which information about operation durations may be incomplete or uncertain. The vague input data are modelled by fuzzy numbers. A numerical algorithm based on operations over the fuzzy numbers is developed, and an example is provided to demonstrate the validity of our model.",

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AB - We consider a problem of scheduling a transporting robot in a production line in which information about operation durations may be incomplete or uncertain. The vague input data are modelled by fuzzy numbers. A numerical algorithm based on operations over the fuzzy numbers is developed, and an example is provided to demonstrate the validity of our model.

KW - Fuzzy scheduling

KW - Periodic scheduling

KW - Transporting robot

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Periodic scheduling of a transporting robot under incomplete input data: A fuzzy approach

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Keywords

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