A System-of-Systems Meta-Architecting Approach for Seru Production System Design
Abstract
Sponsored by expedient technologic innovation, consumers frequently expect manufacturer offerings to exhibit extensive product variety and regular product advancement. These expectations have rendered many traditional production practices less applicable. Chiefly impacted is the notion of mass produced, low-variety artifacts via massive assembly lines. These operations have difficulty meeting the high-customization, short life-cycle requirements imposed by contemporary demand. Many industries and organizations have begun the transformation from these rigid assembly mechanisms to a more versatile, cellular production strategy known as seru production. To facilitate this transition, methods are needed to aid manufacturers in appropriately selecting and arranging seru system components, a critical step in seru system design. Herein, a generalized model is proposed utilizing a system-of-systems architecting approach to determine the component assembly best suiting the needs of the manufacturing entity. Candidate architectures are generated and evaluated using a multi-objective genetic algorithm from which a preferred alternative is selected through a fuzzy inference system. Directing this genetic algorithm, domain-independent objectives are presented, maintaining applications to most seru production design scenarios. The proposed method is then applied to a camera production example, culminating in the identification of a well-performing architecture. The presented method should find increased use as organizations further adopt this flexible production methodology.
Recommended Citation
S. Vanfossan et al., "A System-of-Systems Meta-Architecting Approach for Seru Production System Design," Proceedings of the 15th International Conference of System of Systems Engineering (2020, Budapest, Hungary), pp. 29 - 34, Institute of Electrical and Electronics Engineers (IEEE), Jun 2020.
The definitive version is available at https://doi.org/10.1109/SoSE50414.2020.9130488
Meeting Name
15th International Conference of System of Systems Engineering, SoSE 2020 (2020: Jun. 2-4, Budapest, Hungary)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
fuzzy inference system; meta-architecture generation; multi-objective genetic algorithm; Seru production system; system-of-systems architecting
International Standard Book Number (ISBN)
978-172818050-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
04 Jun 2020
