International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Intelligent Return Processing: Machine Vision (MV) with SAP BTP in Reverse Logistics

Authors: Arun Chinnannan Balasubramanian

DOI: https://doi.org/10.5281/zenodo.14607738

Short DOI: https://doi.org/g8xxn4

Country: USA

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Abstract: Reverse logistics(RL) plays a pivotal role in managing the lifecycle of products, encompassing returns, repairs, and recycling. By integrating Machine Vision (MV) technologies with SAP’s Business Technology Platform (BTP), industries can redefine return processing workflows, achieving improved accuracy, efficiency, and automation. This paper explores the technical intricacies of MV camera systems and their possible seamless integration with SAP BTP that aid the reverse logistics dispositioning. A methodology is provided, along with an examination of challenges, solutions, and potential impacts in industrial scenarios. The framework presented herein addresses pressing challenges in reverse logistics while paving the way for advanced engineering.

Keywords: MVS, Reverse Logistics inspection, Machine vision, Disposition automation, SAP BTP, Event mesh, Integration suite


Paper Id: 231968

Published On: 2023-11-20

Published In: Volume 11, Issue 6, November-December 2023

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