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Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Produktion och Automatiseringsteknik, Production and Automation Engineering / Virtuella fabriker VF-KDO, Virtual Factories of the Future)ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-9643-6233
University of Skövde, School of Engineering Science. (Produktion och Automatiseringsteknik, Production and Automation Engineering)
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Virtuella fabriker VF-KDO. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-5436-2128
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2020 (English)In: Proceedings - Winter Simulation Conference / [ed] K.-H. Bae; B. Feng; S. Kim; S. Lazarova-Molnar; Z. Zheng; T. Roeder; R. Thiesing, IEEE, 2020, p. 3045-3056Conference paper, Published paper (Refereed)
Abstract [en]

Assembly processes have the most influencing and long-term impact on the production volume and cost in the aerospace industry. One of the most crucial factors in aircraft assembly lines design during the conceptual design phase is ramp-up planning that synchronizes the production rates at the globally dispersed facilities. Inspired by a pilot study performed with an aerospace company, this paper introduces a hybrid simulation-optimization approach for addressing an assembly production chain ramp-up problem that takes into account: (1) the interdependencies of the ramp-up profiles between final assembly lines and its upstream lines; (2) workforce planning with various learning curves; (3) inter-plant buffer and lead-time optimization, in the problem formulation. The approach supports the optimization of the ramp-up profile that minimizes the times the aircraft assemblies stay in the buffers and simultaneously attains zero backlog. It also generates the required simulation-optimization data for supporting the decision-making activities in the industrialization projects. 

Place, publisher, year, edition, pages
IEEE, 2020. p. 3045-3056
Series
Proceedings - Winter Simulation Conference, ISSN 1558-4305, E-ISSN 0891-7736
Keywords [en]
Aerospace industry, Aircraft, Assembly machines, Conceptual design, Curve fitting, Decision making, Aerospace company, Aircraft assemblies, Conceptual design phase, Hybrid simulation optimizations, Problem formulation, Production volumes, Simulation optimization, Workforce planning, Assembly
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
VF-KDO; Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-19651DOI: 10.1109/WSC48552.2020.9383887ISI: 000679196303007Scopus ID: 2-s2.0-85103898531ISBN: 978-1-7281-9499-8 (electronic)ISBN: 978-1-7281-9500-1 (print)OAI: oai:DiVA.org:his-19651DiVA, id: diva2:1546430
Conference
2020 Winter Simulation Conference, WSC 2020, Orlando, United States, 14 December 2020 through 18 December 2020; Category number CFP20WSC-ART; Code 168205
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Note

© 2020 IEEE

Available from: 2021-04-22 Created: 2021-04-22 Last updated: 2024-06-19Bibliographically approved

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Ng, Amos H. C.Bernedixen, JacobAndersson, MartinBandaru, Sunith

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