Towards the Digital Factory Twin in Engineer-to-Order Industries: A Focus on Control Cabinet Manufacturing

Stoidner M, Bründl P, Nguyen HG, Baechler A, Franke J (2023)


Publication Type: Book chapter / Article in edited volumes

Publication year: 2023

Journal

Edited Volumes: Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures

Pages Range: 80-95

ISBN: 9783031436697

DOI: 10.1007/978-3-031-43670-3_6

Abstract

Digital transformation poses a challenge for small and medium-sized enterprises (SMEs) with an Engineer-to-Order (ETO) production characterized by a low-variant and low-volume manufacturing philosophy. This article aims to examine the role of a digital factory twin and material flow simulation to increase value creation in ETO production. The study follows a structured approach including a literature review, on-site process analysis, and simulations to determine the optimal production process design. The focus of qualitative and quantitative findings is on the control cabinet manufacturing as an important sector in Germany representative for ETO production. The findings comprise a novel definition of the digital factory twin (DFT), implementation of a simulation model and integration of lean manufacturing principles to optimize ETO production of control cabinets. This study makes a valuable contribution to the development of the DFT and illustrates the successful implementation of simulation as well as lean manufacturing principles.

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How to cite

APA:

Stoidner, M., Bründl, P., Nguyen, H.G., Baechler, A., & Franke, J. (2023). Towards the Digital Factory Twin in Engineer-to-Order Industries: A Focus on Control Cabinet Manufacturing. In Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. (pp. 80-95).

MLA:

Stoidner, Micha, et al. "Towards the Digital Factory Twin in Engineer-to-Order Industries: A Focus on Control Cabinet Manufacturing." Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. 2023. 80-95.

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