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Research Paper Volume 7 Issue 5 1344 - 1381 October 7, 2024

Evaluating the Industry 4.0 Readiness of Dairy Industry: A Case Study in India

Lead author · Corresponding
Ms. Smiti
Research Scholar, SOMS, IGNOU, New Delhi, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.118386
Abstract

This research paper presents a comprehensive case study aimed at evaluating the Industry 4.0 (I4.0) readiness of the dairy industry. Utilizing a survey method, the study focuses on various dairy plants situated in the Delhi/NCR region, Haryana, Mohali, and Chandigarh. The assessment is conducted through the application of a maturity model, Impuls maturity framework, enabling a nuanced examination of the readiness levels in key dimensions such as technology integration, data analytics, automation, and collaborative networks. The findings offer valuable insights into the current state of preparedness within the dairy industry, identifying potential areas for improvement and strategic advancements as it gears up for the challenges and opportunities presented by the fourth industrial revolution. This research contributes to the broader discourse on Industry 4.0 adoption in specific industrial sectors, providing stakeholders with actionable information for informed decision-making and future-proofing strategies. The overall maturity level of the dairy industry, assessed using the Impuls maturity framework, is found to be 2.60. This indicates a moderate to high level of readiness for Industry 4.0 adoption within the sector.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 7, Issue 5, Page 1344 - 1381
DOI: https://doij.org/10.10000/IJLMH.118386
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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