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Towards white revolution 2.0: challenges and opportunities for the industry 4.0 technologies in Indian dairy industry

Author

Listed:
  • Mohit Malik

    (National Institute of Food Technology Entrepreneurship and Management)

  • Vijay Kumar Gahlawat

    (National Institute of Food Technology Entrepreneurship and Management)

  • Rahul S Mor

    (University of Northampton)

  • Amin Hosseinian-Far

    (University of Northampton)

Abstract

The world has encountered numerous global crises, including epidemics, military conflicts, and economic collapse. Innovative digital technologies, such as Industry 4.0 (I4.0), can undoubtedly help improve industries’ operations during critical times. The dairy industry has seen an increment in technological adoption in the last few years. Adopting cutting-edge technologies is regarded as more feasible as compared to existing practices. The advancements achieved through the white revolution became game changers for the Indian dairy industry, establishing it as a top producer. The key challenges faced by the Indian dairy industry include safety, quality, transparency, and sustainability. The Indian dairy sector needs a revolution to address these challenges, and digital technologies can play a big role. This study critically demonstrates the emergence of technological transformations in the Indian dairy industry. A conceptual framework, White Revolution 2.0, which indicates the digital revolution, is introduced. This proposed framework presents the three dimensions of White Revolution 2.0, i.e., technological dimension, external factors, and applications of I4.0. The proposed framework will significantly improve dairy operations by effectively addressing the identified challenges throughout every aspect of the dairy industry. The findings indicate that adopting the proposed concept can ensure effective supply chain integration and a sustainable future for the dairy industry by integrating all the stakeholders. Practical implementation of this concept includes improvements in food safety, security, and quality sustainably. This study will assist practitioners and researchers in understanding the fundamentals and necessity of the White Revolution 2.0 and can serve as a roadmap for integrated dairy digitalization.

Suggested Citation

  • Mohit Malik & Vijay Kumar Gahlawat & Rahul S Mor & Amin Hosseinian-Far, 2024. "Towards white revolution 2.0: challenges and opportunities for the industry 4.0 technologies in Indian dairy industry," Operations Management Research, Springer, vol. 17(3), pages 811-832, September.
    • Handle: RePEc:spr:opmare:v:17:y:2024:i:3:d:10.1007_s12063-024-00482-4
    DOI: 10.1007/s12063-024-00482-4
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    1. Tom Kompas & Tuong Nhu Che, 2006. "Technology choice and efficiency on Australian dairy farms," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(1), pages 65-83, March.
    2. Munshi, Kaivan D. & Parikh, Kirit S., 1994. "Milk supply behavior in India: Data integration, estimation and implications for dairy development," Journal of Development Economics, Elsevier, vol. 45(2), pages 201-223, December.
    3. van Asseldonk, M. A. P. M. & Huirne, R. B. M. & Dijkhuizen, A. A. & Beulens, A. J. M., 1999. "Dynamic programming to determine optimum investments in information technology on dairy farms," Agricultural Systems, Elsevier, vol. 62(1), pages 17-28, October.
    4. Monshizadeh, Fatemeh & Sadeghi Moghadam, Mohammad Reza & Mansouri, Taha & Kumar, Maneesh, 2023. "Developing an industry 4.0 readiness model using fuzzy cognitive maps approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    5. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    6. Md. Rokonuzzaman, 2018. "The Integration of Extended Supply Chain with Sales and Operation Planning: A Conceptual Framework," Logistics, MDPI, vol. 2(2), pages 1-21, March.
    7. Pedro Azevedo & Jorge Gomes & Mário Romão, 2023. "Supply chain traceability using blockchain," Operations Management Research, Springer, vol. 16(3), pages 1359-1381, September.
    8. Nurhayati, Kartika & Tavasszy, Lóránt & Rezaei, Jafar, 2023. "Joint B2B supply chain decision-making: Drivers, facilitators and barriers," International Journal of Production Economics, Elsevier, vol. 256(C).
    9. Newton, Joanna E. & Nettle, Ruth & Pryce, Jennie E., 2020. "Farming smarter with big data: Insights from the case of Australia's national dairy herd milk recording scheme," Agricultural Systems, Elsevier, vol. 181(C).
    10. Haug, Anders & Wickstrøm, Kent Adsbøll & Stentoft, Jan & Philipsen, Kristian, 2023. "Adoption of additive manufacturing: A survey of the role of knowledge networks and maturity in small and medium-sized Danish production firms," International Journal of Production Economics, Elsevier, vol. 255(C).
    11. Rafael Rodriguez-Venegas & Cesar A. Meza-Herrera & Pedro A. Robles-Trillo & Oscar Angel-Garcia & Jesus S. Rivas-Madero & Rafael Rodriguez-Martínez, 2022. "Heat Stress Characterization in a Dairy Cattle Intensive Production Cluster under Arid Land Conditions: An Annual, Seasonal, Daily, and Minute-To-Minute, Big Data Approach," Agriculture, MDPI, vol. 12(6), pages 1-19, May.
    12. Thu-Hang Hoang & Nhi Pham Phuong Nguyen & Nhu-Y Ngoc Hoang & Mohammadreza Akbari & Huy Truong Quang & An Duong Thi Binh, 2023. "Application of social media in supply chain 4.0 practices: a bibliometric analysis and research trends," Operations Management Research, Springer, vol. 16(3), pages 1162-1184, September.
    13. Lewis Holloway & Christopher Bear & Katy Wilkinson, 2014. "Robotic milking technologies and renegotiating situated ethical relationships on UK dairy farms," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(2), pages 185-199, June.
    14. Mihai DOINEA & Catalin BOJA & Lorena BATAGAN & Cristian TOMA & Marius POPA, 2015. "Internet of Things Based Systems for Food Safety Management," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 19(1), pages 87-97.
    15. Mohit Malik & Vijay Kumar Gahlawat & Rahul S Mor & Vijay Dahiya & Mukheshwar Yadav, 2022. "Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review," Logistics, MDPI, vol. 6(4), pages 1-16, October.
    16. Mohammadreza Akbari & John L. Hopkins, 2022. "Digital technologies as enablers of supply chain sustainability in an emerging economy," Operations Management Research, Springer, vol. 15(3), pages 689-710, December.
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