Abstract
Modelling and scheduling of cargo and passenger trains with time limitations, queue priority and limited station lines is a cumbersome task. Furthermore, when distribution of traverse times are unknown or could not be estimated, conventional simulation approach fails and the need for a more intelligent approach becomes inevitable. This paper presents an integrated fuzzy modelling and simulation approach for such ambiguous cases. The case of this study is based on a specific and actual train route (800 kilometres). To show superiority of the approach the system under study was modelled through both conventional and fuzzy simulation approach. For the purpose of verification and validation, the fuzzy interval data of fuzzy simulation model was compared with the interval data of actual system through fuzzy analysis of variance (ANOVA). Then, random data from fuzzy simulation, conventional simulation models and actual system were compared with design of experiment (DOE). Hence, ANOVA and least significant difference (LSD) method were used to show fuzzy simulation approach is an ideal and superior modelling approach for uncertain and ambiguous scheduling railroad systems such as the actual case of this study.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Services and Operations Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.