SUPPLY CHAIN TRACEABILITY OF ‘B’ VEHICLE SPARES IN INDIAN ARMY WITH FOCUS ON TIER II & TIER III CITIES

Abstract

This thesis investigates the enhancement of traceability in the logistics of 'B' vehicle spare parts within Indian Army operations, focusing on Tier II and Tier III cities. The research addresses the critical issue of ensuring genuine spare parts availability in field workshops, which is paramount for vehicle reliability and safety. The study integrates modern traceability technologies such as blockchain and the Internet of Things (IoT) to overhaul traditional supply chain mechanisms. The methodology adopted, Interpretive Structural Modeling (ISM) combined with Matricial Implication of Cross-Impact Multiplications Applied to Classification (MICMAC), provides a structured analysis of the traceability system. This approach helps in identifying key leverage points and understanding the dynamics within the supply chain that influence spare parts management. Key elements such as online systems integration, stakeholder coordination, and technological adoption are analysed to propose a robust framework for enhancing logistical operations. Results from the research indicate that strategic integration of advanced technologies and better stakeholder engagement significantly improves the traceability and efficiency of the supply chain. The study highlights the need for policy improvements and targeted training programs to adapt to new systems. Recommendations include the development of a unified traceability framework that is adaptable to various logistical challenges faced by the military in less urbanized regions. The findings of this thesis contribute to both theoretical and practical aspects of military logistics, offering a pathway to refined operations and enhanced operational readiness through improved spare parts management systems. This research paves the way for future studies to explore the extensive application of these frameworks across different sectors of military logistics and beyond.