An Evolutionary Approach to Cyclic Real World Scheduling

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 w...

Full description

Saved in:
Bibliographic Details
Published inComputer Information Systems and Industrial Management Vol. 9842; pp. 366 - 373
Main Author Żelazny, Dominik
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Computing: general
Cyclic scheduling
Flow shop problem
Nature-based algorithm
Real world problem
Online AccessGet full text
ISBN9783319453774
3319453777
ISSN0302-9743
1611-3349
1611-3349
DOI10.1007/978-3-319-45378-1_33

Cover

More Information
Summary: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.
ISBN:9783319453774
3319453777
ISSN:0302-9743
1611-3349
1611-3349
DOI:10.1007/978-3-319-45378-1_33