Optimal Selection of Manufacturing Configurations Using Object-Oriented and Mathematical Data Models

Torayev, Agajan; Wang, Zi; Martínez-Arellano, Giovanna; Chaplin, Jack C.; Sanderson, David; Ratchev, Svetan

Abstract

In this work, we optimize manufacturing configurations, i.e., the set of necessary assets, using the known capabilities and capacities of manufacturing equipment. In particular, the work provides an Object-Oriented data model and the translation of the Object-Oriented data model into a Mathematical data model for efficiently utilizing optimization algorithms. The main contribution is developing an optimization strategy for adapting to varying demand periods with the requested capability and capacity. The proposed methodology is validated in optimizing the planning for small-box hinged product assemblies in aerospace manufacturing, which can be assembled in a reconfigurable environment with common pick and place, drilling, fastening, and inspection procedures.

Citation

Torayev, A., Wang, Z., Martínez-Arellano, G., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2023). Optimal Selection of Manufacturing Configurations Using Object-Oriented and Mathematical Data Models. In L.-C. Tang (Ed.), Industrial Engineering and Applications (3-12). IOS Press. https://doi.org/10.3233/ATDE230025

• Publication Date: Jul 27, 2023
• Deposit Date: Sep 28, 2023
• Publicly Available Date: Nov 14, 2023
• Publisher: IOS Press
• Pages: 3-12
• Series Title: Advances in Transdisciplinary Engineering
• Series Number: 35
• Book Title: Industrial Engineering and Applications
• ISBN: 9781643684086
• DOI: https://doi.org/10.3233/ATDE230025
• Public URL: https://nottingham-repository.worktribe.com/output/23864265
• Publisher URL: https://ebooks.iospress.nl/doi/10.3233/ATDE230025
• Additional Information: Research article presented at the 10th International Conference of Industrial Engineering and Applications (ICIEA), which was held in Phuket, Thailand, from 4 to 6 April 2023.