Sampling Method for the Flow Shop with Uncertain Parameters - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2017

Sampling Method for the Flow Shop with Uncertain Parameters

Paweł Rajba
  • Function : Author
  • PersonId : 1024475
Mieczysław Wodecki
  • Function : Author
  • PersonId : 1023031


In the classic approach for optimization problems modelling well defined parameters are assumed. However, in real life problems we find ourself very often in a situation where parameters are not defined precisely. This may have many sources like inaccurate measurement, inability to establishing precise values, randomness, inconsistent information or subjectivity.In this paper we propose a sampling method for solving optimization problems with uncertain parameters modeled by random variables. Moreover, by applying confidence intervals theory, the execution time has been significantly reduced. We will also show an application of the method for the flowshop problem with deadlines and parameters modeled by random variables with the normal distribution.
Fichier principal
Vignette du fichier
448933_1_En_50_Chapter.pdf (438.94 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01656238 , version 1 (05-12-2017)





Paweł Rajba, Mieczysław Wodecki. Sampling Method for the Flow Shop with Uncertain Parameters. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. pp.580-591, ⟨10.1007/978-3-319-59105-6_50⟩. ⟨hal-01656238⟩
49 View
57 Download



Gmail Facebook Twitter LinkedIn More