%0 Conference Proceedings
%T An Evolutionary Approach to Cyclic Real World Scheduling
%+ Wroclaw University of Science and Technology
%A Żelazny, Dominik
%Z Part 5: Scheduling in Manufacturing and Other Applications
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Vilnius, Lithuania
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-9842
%P 366-373
%8 2016-09-14
%D 2016
%R 10.1007/978-3-319-45378-1_33
%K Flow shop problem
%K Cyclic scheduling
%K Real world problem
%K Nature-based algorithm
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Real world problems are often an inspiration for engineers to model and solve new scheduling problems. In this paper a cyclic scheduling of jobs with uncertain data is considered. A minimization of the cycle time represents an important economical factor considered by the companies. Proposed model was tested and data concerning processing times was obtained. Due to the nature of stations and human operator factor, we deal with uncertain data modeled using fuzzy numbers. For the modeled production station a fuzzy genetic algorithm was proposed and tested against deterministic algorithms. Proposed algorithm outperformed all deterministic algorithms.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01637490/document
%2 https://inria.hal.science/hal-01637490/file/419526_1_En_33_Chapter.pdf
%L hal-01637490
%U https://inria.hal.science/hal-01637490
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9842