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Research Article
           ADOPTION OF IOT IN SMART MANUFACTURING
           RISKS AND REWARDS



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            Abdul Sami , Om Mahajan , Om Vaidya      1

            ABSTRACT
            Companies like Tata Motors, Hindalco, and Vedanta have fully embraced Industry 4.0 technologies such as the Internet of
            Things (IoT), artificial intelligence (AI), automation, and data analytics. Their industrial operations underwent a substantial
            shift. These companies achieved significant cost savings, better operational efficiency, enhanced finances, and improved
            overall productivity through AI-assisted decision tools, predictive maintenance, and smart production techniques.
            Unlike those in the industrial sector, Bosch and Wipro, which focus on IT and services, have not experienced an increase in
            revenue. Although these companies have adopted Industry 4.0, their results have not been immediate leaps in revenue.
            However, their processes have become smoother and workflows have improved. The shift shows that the area of industry
            greatly  influences  the  outcome  of  digital  transformation,  with  manufacturing  typically  experiencing  faster  and  more
            noticeable benefits. An important insight from this research is that the benefits of Industry 4.0 are often not immediately
            evident. Companies tend to make operational changes, integrate an entire system, and only then start to see ROI 12 to 18
            months post-implementation. Initial drops or volatility in profit should not be dismissed as failure. Evaluation should always
            consider the long-term view. This evaluation also stresses the ongoing need for investment in AI tools, secure systems, and
            employee upskilling. Relying on financial documents and industry insights, this study shows that Industry 4.0 represents a
            fundamental transformation in business practices rather than just new technology. Firms that build sector-specific digital
            strategies will likely experience improved competitiveness, higher output, and sustained success in today’s digital-first
            market.
            KEYWORDS: Industry 4.0, IoT, AI, automation, data analytics, smart manufacturing, predictive maintenance, digital
            transformation, manufacturing sector, IT services, efficiency, financial growth.


            INTRODUCTION                                      opportunities alongside notable problems in productivity,
                                                              precision, flexibility and other assets along with concerns
            The Development of the Manufacturing Sector
                                                              regarding supplemental and security concerns. This report
            The manufacturing industry has always been important in   dives into the major pros and cons of integrating IoT into
            terms  of  industrialization  and  economic  advancement.   manufacturing operations.
            Starting from the days of human labour and transitioning to   What Does Industry 4.0 Mean in the Context of IoT?
            fully  automated  systems,  this  industry  has  always  been
            willing  to  shift  in  order  to  fulfil  the  requirements  for   The  term  Industry  4.0  originated  from  a  German
            precision  and  productivity.  The  pace  of  change  began   government initiative launched in 2011, aimed at digitizing
            accelerating during each industrial age, beginning with the   and modernizing the manufacturing industry. At the centre
            first  revolution  in  the  1700s  when  mechanization  was   of  this  concept  is  the  vision  of  creating  intelligent,  self-
            introduced and later three hundred years on with the rise of   optimizing systems where machines, people, and processes
            computers in the late 20th century. We are currently amidst   are connected in real-time.
            what is referred to as the Fourth Industrial Revolution, or   In smart manufacturing environments, IoT devices collect,
            Industry  4.0.  The  current  revolution  focuses  on  the   send,  and  process  vast  amounts  of  data  that  machines,
            integration of systems for IoT infrastructure, meaning any of   sensors, and operations create. AI and big data technologies
            the advanced digital tools. At the core of the new radical   then analyze this data to make wiser decisions autonomous
            change is advanced technology in form of the IoT which   adjustments  to  machinery,  alerting  possible  problems,  or
            plays a crucial role in the industry’s boom. It IoT impacts   more efficient production timetables.
            almost every avenue of manufacture.The intention now is in   Major technology drivers of Industry 4.0 are
            stark to on the design smart, merged ecosystems. Unlike
            previous  eras,  the  focus  is  no  longer  design  around   ● Cyber-Physical Systems (CPS) Integration of physical
            production  efficiency.  The  role  of  gadgets  pivots-   machines  with  digital  interfaces  enabling  real-time
            Innovation  mandates  real-time  interaction,  data  systems,   interaction.
            and automation processes. IoT is what powers these abilities   ●  Internet  of  Things  (IoT)  Interconnected  devices  and
            behind this.With global and Indian manufacturers shifting to   sensors that share data across the factory floor.
            smarter  systems,  the  IoT  brings  forth  its  immense   ● Artificial Intelligence (AI) & Machine Learning (ML)

            Corresponding author: mahajanom5@gmail.com
            1
            Institute of Management Development and Research, Pune
            Cite this Paper :
            Abdul, S., Om, M., Om, V.(2025)
            Adoption of IoT in Smart Manufacturing: Risks and Rewards, JMDR
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