Article: Autonomous vehicles as self-driving assembly items: rethinking internal logistics in automotive assembly Journal: International Journal of Integrated Supply Management (IJISM) 2026 Vol.18 No.2 pp.184 - 216 Abstract: This paper investigates the use of autonomous vehicles (AVs) as self-driving assembly items to transform internal material handling and supply chain integration within automotive manufacturing. By enabling vehicles to autonomously navigate through their own assembly process, the concept offers a flexible and cost-efficient alternative to traditional conveyor systems. Based on a multiple case study of three battery electric vehicle (BEV) assembly systems, supported by expert workshops and interviews, we analyse the economic and structural impacts of this approach. Our findings show that infrastructure-supported AV systems can reduce conveyor-related capital expenditures by up to 25%. A total cost of ownership (TCO) analysis over 50 years confirms long-term viability. The study also provides planning guidelines for implementation, including layout restructuring and buffer design. This research contributes to integrated supply management by quantifying the financial and operational implications of AV-based internal logistics and offering practical insights for smart manufacturing transformation. Inderscience Publishers - linking academia, business and industry through research

Title: Autonomous vehicles as self-driving assembly items: rethinking internal logistics in automotive assembly

Authors: Tom Kathmann; Daniel Reh; Julia C. Arlinghaus

Addresses: Volkswagen Commercial Vehicles, Mecklenheidestrasse 74, 30419 Hannover, Germany ' Volkswagen Commercial Vehicles, Mecklenheidestrasse 74, 30419 Hannover, Germany ' University of St. Gallen, Dufourstr. 40a, 9000 St.Gallen, Switzerland

Abstract: This paper investigates the use of autonomous vehicles (AVs) as self-driving assembly items to transform internal material handling and supply chain integration within automotive manufacturing. By enabling vehicles to autonomously navigate through their own assembly process, the concept offers a flexible and cost-efficient alternative to traditional conveyor systems. Based on a multiple case study of three battery electric vehicle (BEV) assembly systems, supported by expert workshops and interviews, we analyse the economic and structural impacts of this approach. Our findings show that infrastructure-supported AV systems can reduce conveyor-related capital expenditures by up to 25%. A total cost of ownership (TCO) analysis over 50 years confirms long-term viability. The study also provides planning guidelines for implementation, including layout restructuring and buffer design. This research contributes to integrated supply management by quantifying the financial and operational implications of AV-based internal logistics and offering practical insights for smart manufacturing transformation.

Keywords: autonomous vehicles; AVs; automated guided vehicles; AGV; automotive assembly; self-driving; conveyor systems; internal logistics; production planning; supply chain integration; flexible assembly systems; automated valet parking in production.

DOI: 10.1504/IJISM.2026.152989

International Journal of Integrated Supply Management, 2026 Vol.18 No.2, pp.184 - 216

Received: 28 Oct 2025
Accepted: 14 Jan 2026
Published online: 17 Apr 2026 *

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Title: Autonomous vehicles as self-driving assembly items: rethinking internal logistics in automotive assembly

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