Overcoming Barriers to Digital Transformation towards Greener Supply Chains in Automotive Paint Shop Operations

Silvia Carpitella ()
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Silvia Carpitella: Department of Manufacturing Systems Engineering and Management, College of Engineering and Computer Science, California State University Northridge, 18111 Nordhoff Street, Northridge, CA 91330, USA

Sustainability, 2024, vol. 16, issue 5, 1-20

Abstract: Given the resource-intensive nature of automotive manufacturing processes and their potential to substantially contribute to ecological footprints, the integration of sustainable logistic practices in the context of digital transformation becomes imperative. This paper focuses on the implementation of green supply chain strategies within the automotive sector, targeting significant risks associated with environmental impact, specifically in the critical domain of automotive paint shops. Automotive paint shops indeed play a significant part in determining the overall sustainability of automotive production. Recognized for their role in vehicle esthetics and corrosion protection, the sustainable integration of these facilities is crucial in the pursuit of a greener automotive future. A comprehensive multi-criteria decision-making framework is herein proposed as a valuable tool in pinpointing the most critical barriers to digital transformation and simultaneously prioritizing suitable green logistic strategies in the context of automotive paint shop risk-management procedures. The practical utility of the model extends to practitioners in the automotive paint shop supply chain, particularly those engaged in digitalizing critical operations, facilitating well-informed decision-making aligned with environmental sustainability goals. The findings of this research highlight the critical importance of implementing tailored strategies, including crisis preparedness, transparent communication, proactive outreach, and strategic investments in technology and partnerships, to address barriers and enhance sustainability practices within automotive paint shop operations, thereby contributing to the overall resilience and long-term viability of automotive supply chains.

Keywords: digital transformation; supply chain management; automotive industry; multi-criteria decision-making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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