Detail publikace

A Note on Fixed Interval Scheduling with Stochastic Elements

Originální název

A Note on Fixed Interval Scheduling with Stochastic Elements

Anglický název

A Note on Fixed Interval Scheduling with Stochastic Elements

Jazyk

en

Originální abstrakt

The Fixed Interval Scheduling (FIS) problem deals with scheduling of jobs to machines, where all the jobs have given fixed starting and finishing times. In this paper, we introduce a stochastic version of the FIS problem, motivated by the logistic area of technical servicing and maintenance. Our research is particularly inspired by the scheduling challenges of today’s Norwegian oil-industry sector, namely within offshore oil-platform maintenance. We formulate a two-stage stochastic programming model and follow a scenario approach to deal with the uncertainty. The GAMS environment is used to conduct numerical experiments. We discuss the modelling aspects and present computational results which point towards future research.

Anglický abstrakt

The Fixed Interval Scheduling (FIS) problem deals with scheduling of jobs to machines, where all the jobs have given fixed starting and finishing times. In this paper, we introduce a stochastic version of the FIS problem, motivated by the logistic area of technical servicing and maintenance. Our research is particularly inspired by the scheduling challenges of today’s Norwegian oil-industry sector, namely within offshore oil-platform maintenance. We formulate a two-stage stochastic programming model and follow a scenario approach to deal with the uncertainty. The GAMS environment is used to conduct numerical experiments. We discuss the modelling aspects and present computational results which point towards future research.

BibTex


@article{BUT123900,
  author="Jan {Novotný} and Martin {Branda} and Pavel {Popela} and Asmund {Olstad}",
  title="A Note on Fixed Interval Scheduling with Stochastic Elements",
  annote="The Fixed Interval Scheduling (FIS) problem deals with scheduling of jobs to machines, where all the jobs have given fixed starting and finishing times. In this paper, we introduce a stochastic version of the FIS problem, motivated by the logistic area of technical servicing and maintenance. Our research is particularly inspired by the scheduling challenges of today’s Norwegian oil-industry sector, namely within offshore oil-platform maintenance. We formulate a two-stage stochastic programming model and follow a scenario approach to deal with the uncertainty. The GAMS environment is used to conduct numerical experiments. We discuss the modelling aspects and present computational results which point towards future research.",
  address="Česká statistická společnost",
  chapter="123900",
  howpublished="print",
  institution="Česká statistická společnost",
  number="4",
  volume="26",
  year="2015",
  month="december",
  pages="1--7",
  publisher="Česká statistická společnost",
  type="journal article - other"
}