Role of Design Technology in Optimization of Transportation: A Study on Tripadam Logistics Private Limited, Chennai
Article Sidebar
Main Article Content
The rapid transformation of the Indian logistics sector, driven by the proliferation of e-commerce, cross-border trade, and just-in-time supply chain models, has placed transportation at the centre of organizational efficiency. This study investigates the role of design technology in optimizing transportation operations at Tripadam Logistics Private Limited, a Chennai-based integrated logistics service provider incorporated in 2009. The research adopts a descriptive and analytical research design, drawing on primary data collected through structured questionnaires administered to 50 employees and stakeholders. Statistical tools including percentage analysis, one-way ANOVA, chi-square tests, correlation analysis, and one-sample t-tests were employed to evaluate relationships between technology adoption and operational outcomes. Findings reveal that technologies such as GPS tracking, AI-powered route optimization, IoT sensors, cloud-based logistics platforms, and automated dispatch systems have significantly improved route efficiency, vehicle capacity utilization, delivery accuracy, and customer satisfaction. The study contributes actionable insights for mid-sized Indian logistics firms seeking to leverage design-tech solutions to remain competitive in an evolving market environment.
Downloads
References
Bhattacharya, A., Kumar, S. A., & Tiwari, M. K. (2014). An integrated approach for performance measurement of a supply chain. CIRP Journal of Manufacturing Science and Technology, 7(3), 172-182.
Choudhary, A., & Agarwal, V. (2019). Digital transformation in Indian supply chains: Big data, visibility and operational performance. Journal of Operations Management India, 14(2), 88-104.
Gupta, P., & Yadav, R. (2020). Transportation cost optimization through fleet management technology: Evidence from Indian logistics firms. International Journal of Logistics Research and Applications, 23(4), 341-358.
Indian Logistics Optimization Study. (2024). Supply chain optimization in India: AI, IoT and blockchain applications. National Institute of Industrial Engineering, Mumbai.
Iyer, A., & Srinivasan, M. (2021). Cloud-based logistics platforms and stakeholder collaboration in Indian freight operations. Journal of Business Logistics, 42(1), 67-84.
Kumar, S., Singh, R., & Modgil, S. (2018). Integrated logistics systems and transportation efficiency: Evidence from the Indian market. International Journal of Production Economics, 196, 211-224.
Mehta, A., & Jain, S. (2016). Warehouse and transportation integration for supply chain optimization. Logistics Research, 9(1), 1-13.
Nair, R., & Menon, R. (2018). Last-mile delivery challenges in Indian urban logistics: Technology solutions and policy implications. Transportation Research Part A, 118, 12-27.
Patil, S., Patange, G., & Pardeshi, S. (2023). Intelligent transportation mode selection for logistics cost optimization using machine learning. Expert Systems with Applications, 214, 119120.
Patel, K., & Desai, N. (2022). Artificial intelligence in logistics optimization: Machine learning for demand forecasting and route planning. Journal of Business Research, 139, 1425-1436.
Reddy, B., & Kumar, P. (2019). Route optimization using data analytics and predictive modelling in urban freight logistics. Transportation Science, 53(4), 1128-1144.
Sharma, V., & Gupta, A. (2017). GPS and telematics adoption in Indian transportation: Impact on fleet management and delivery performance. International Journal of Physical Distribution & Logistics Management, 47(9), 884-905.
Shastri, R., & Shrivastav, M. (2025). Drone-based logistics and AI integration for last-mile delivery optimization. Journal of Air Transport Management, 104, 102-119.
Singh, P., & Verma, K. (2020). Internet of Things applications in logistics: Cargo monitoring, vehicle tracking and predictive maintenance. Computers in Industry, 115, 103163.
Valda, E., Torres, L., & Morales, R. (2024). Logistics optimization techniques: A literature review of mathematical models, simulation and heuristic methods. European Journal of Operational Research, 312(1), 1-28.
World Economic Forum. (2023). Future of logistics: Technology transformation and supply chain resilience. Geneva: WEF Publications.
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.