Evolutionary based capacity optimization of a baggage sorting system using a modular cellular automata
Loading...
Authors
Author (Corporation)
Publication date
2019
Type of student thesis
Course of study
Collections
Type
06 - Presentation
Editors
Editor (Corporation)
Supervisor
Parent work
Special issue
DOI of the original publication
Related research data
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Place of publication / Event location
Amsterdam
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Baggage sorting systems (BSS) are crucial for running airports beyond a certain passenger capacity. The lack of careful optimization of a given capacity BSS infrastructure leads to an uncomfortable situation for passengers which miss their baggage on connecting flights. In addition there is a security issue if the passenger and its baggage are transported on separated flights. For seasonal assembling of flight plans or long-term infrastructure bottleneck analysis it is of a high importance to know the BSS boundaries for a given demand. Latter replacement of an old BSS by knowing the real flight dependent capacity boundaries, save money investments. However, a little has been done on the optimization of BSS regarding operational issues. In this paper a modular cellular automata is used to optimize the operations issues using an elaborated metaheuristic. An additional case study at Airport Zurich targeting two questions: the gate assignment and the impact of x-ray baggage control throughputs. The computational results show a significant improving of capacity and flexibility in planning the utilization concepts.
Keywords
Subject (DDC)
Event
ATRS 23rd World Conference
Exhibition start date
Exhibition end date
Conference start date
02.07.2019
Conference end date
05.07.2019
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Review
publication.page.reviewtype.Peer-Reviewed
Open access category
License
Citation
Renold, M., & Wacker, S. (2019). Evolutionary based capacity optimization of a baggage sorting system using a modular cellular automata. ATRS 23rd World Conference. https://irf.fhnw.ch/handle/11645/57307