- Saturday, Oct 17th, 2026
| TITLE | A Study on End-to-End Supply Chain Operations in the Logistics Sector |
|---|---|
| ABSTRACT | This study examines end-to-end supply chain operations by analysing the interconnected activities of procurement, inventory management, warehousing, transportation and distribution, order fulfilment, technology integration, and customer service. Adopting a descriptive, cross-sectional research design, the study draws on primary data collected through a structured questionnaire administered to 60 respondents employed across procurement, warehousing, transportation and distribution, inventory management, and customer service functions. Descriptive statistics such as frequencies, percentages, mean scores and standard deviations were used to profile respondent characteristics and rate ten operational parameters, while a reliability check using Cronbach's alpha confirmed the internal consistency of the measurement instrument. Fishbone (cause-and-effect) analysis was applied to trace the manpower, machine, method, material, environmental and management-related causes of operational inefficiency, and SWOC analysis was used to map the strengths, weaknesses, opportunities and challenges of current practice. The findings indicate that customer satisfaction and order fulfilment speed are the strongest-performing operational dimensions, whereas demand forecasting accuracy and technology integration are comparatively weak and require targeted improvement. Fragmented digital systems, manual documentation, uneven training exposure and inconsistent cross-functional coordination emerge as interconnected root causes of inefficiency rather than isolated departmental problems. The study concludes that integrated decision-making, analytics-based forecasting, unified ERP–WMS platforms and structured cross-functional coordination mechanisms are central to improving supply chain efficiency, reliability and customer value, and it offers a set of practical, function-wise recommendations for operational managers. |
| AUTHOR | Ruban, Dr. A. Naramadha MBA (Logistics & Supply Chain Management), Department of Management Studies, School of Management Studies, VISTAS, Pallavaram, Chennai, Tamil Nadu, India Assistant Professor, Department of Management Studies, School of Management Studies, VISTAS, Pallavaram, Chennai, Tamil Nadu, India |
| VOLUME | 13 |
| DOI | DOI:10.15680/IJARETY.2026.1305009 |
| 9_A Study on End-to-End Supply Chain Operations in the Logistics Sector.pdf | |
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| References | 1. Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 163, 120447. https://doi.org/10.1016/j.techfore.2020.120447 2. Büyüközkan, G., & Göçer, F. (2018). Digital supply chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177. https://doi.org/10.1016/j.compind.2018.02.010 3. Deepu, T. S., & Ravi, V. (2023). A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions. Technological Forecasting and Social Change, 194, 122646. https://doi.org/10.1016/j.techfore.2023.122646 4. Dolgui, A., Ivanov, D., & Sokolov, B. (2020). Reconfigurable supply chain: The X-network. International Journal of Production Research, 58(13), 4138–4163. https://doi.org/10.1080/00207543.2020.1750727 5. Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2020). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 59(1), 110–130. https://doi.org/10.1080/00207543.2019.1582820 6. Frederico, G. F. (2021). From supply chain 4.0 to supply chain 5.0: Findings from a systematic literature review and research directions. Logistics, 5(3), 48. https://doi.org/10.3390/logistics5030048 7. Ivanov, D. (2021). Supply chain viability and the COVID-19 pandemic: A conceptual and formal generalisation of four major adaptation strategies. International Journal of Production Research, 59(12), 3535–3552. https://doi.org/10.1080/00207543.2021.1890852 8. Ivanov, D. (2022). The Industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 60(24), 6845–6862. https://doi.org/10.1080/00207543.2022.2087904 9. Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability. International Journal of Production Research, 58(10), 2904–2915. https://doi.org/10.1080/00207543.2020.1750727 10. Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788. https://doi.org/10.1080/09537287.2020.1768450 11. Queiroz, M. M., Ivanov, D., Dolgui, A., & Wamba, S. F. (2020). Impacts of epidemic outbreaks on supply chains: Mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, 319, 1159–1192. https://doi.org/10.1007/s10479-020-03685-7 12. Sundarakani, B., Manikas, I., & Gunasekaran, A. (2024). Digital transformation in logistics: A systematic review and future research agenda. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2024.2332123 13. Tortorella, G. L., Fogliatto, F. S., & Mac Cawley, A. F. (2020). Digital transformation and Industry 4.0 in supply chain management: A systematic review. Production Planning & Control. 14. Wamba, S. F., Queiroz, M. M., & Trinchera, L. (2022). Artificial intelligence and supply chain management: A systematic literature review and research agenda. International Journal of Production Research. |
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