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Smart Cement Plants

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By integrating advanced technologies like IoT and AI, cement plants are transforming into highly efficient and interconnected systems. ICR explores how these innovations enable real-time monitoring and predictive maintenance, significantly reducing downtime and operational costs.

The cement industry, traditionally known for its reliance on heavy machinery and manual processes, is undergoing a significant digital transformation. This shift is driven by advancements in technology that promise to enhance efficiency, reduce costs, and improve overall production quality. Key trends include the adoption of the Internet of Things (IoT), which enables real-time monitoring and control of production processes through interconnected devices. Artificial Intelligence (AI) and Machine Learning (ML) are being utilised to optimise operations, predict maintenance needs, and minimise downtime by analysing vast amounts of data. Additionally, the integration of Big Data analytics allows for more informed decision-making by providing insights into production trends and potential areas for improvement.
“One of the key advantages of integrating data across our systems is the ability to have a more transparent, agile, and integrated supply and logistics chain. With the implementation of Oracle Logistics Management Solution, we have been able to overcome challenges related to consignment locations and truck movements, providing real-time visibility into our operations. This has also led to operational efficiency improvements and the ability to predict consignment delivery times, which we share with our customers, enhancing their experience” says Arun Shukla, President and Director, JK Lakshmi Cement.
According to BlueWeave Consultancy, during the forecast period between 2023 and 2029, the size of India cement market is projected to grow at a CAGR of 9.05 per cent reaching a value of US$ 49.24 billion by 2029. Major growth drivers for the India cement market include the growing need from construction and infrastructure sectors and rising governmental initiatives and investments in expansive infrastructure ventures encompassing highways, railways, airports, and public edifices.

Importance of Digitalisation
Digitalisation in cement manufacturing is crucial for several reasons:

  • Enhanced efficiency: Digital tools streamline production processes, reducing waste and improving the precision of operations. This leads to higher output and better resource utilisation.
  • Predictive maintenance: By leveraging AI and IoT, cement plants can predict equipment failures before they occur, minimising unplanned downtime and extending the lifespan of machinery.
  • Energy optimisation: Digital technologies enable the monitoring and optimisation of energy consumption, leading to significant cost savings and a reduced carbon footprint.

This aligns with global sustainability goals and regulatory requirements.

Quality control: Advanced sensors and data analytics ensure consistent product quality by closely monitoring and adjusting the production parameters in real time.
Safety improvements: Automation and robotics reduce the need for human intervention in hazardous environments, enhancing worker safety and reducing the risk of accidents.
Competitive advantage: Companies that embrace digitalisation can respond more quickly to market changes, innovate faster, and provide better customer service, giving them a competitive edge in the industry.
Digital transformation is reshaping the cement industry by driving efficiency, enhancing product quality, and promoting sustainability. As the industry continues to evolve, the adoption of digital technologies will be essential for maintaining competitiveness and achieving long-term success.

Key technologies driving digitalisation
The digital transformation of the cement industry is powered by a suite of advanced technologies that enhance efficiency, improve product quality, and drive sustainability. Here are some of the key technologies making a significant impact:
IoT refers to a network of interconnected devices that communicate and exchange data in real time. In the cement industry, IoT applications are revolutionising operations by enabling real-time monitoring and control of production processes. Sensors embedded in equipment collect data on various parameters such as temperature, pressure, and vibration. This data is then transmitted to a central system where it is analysed to optimise performance. For instance, IoT-enabled predictive maintenance systems can detect anomalies and predict equipment failures before they occur, minimising downtime and reducing maintenance costs. Additionally, IoT helps in energy management by monitoring consumption patterns and identifying opportunities for energy savings.
AI and ML in process optimisation are pivotal in enhancing process optimisation in the cement industry. AI algorithms analyse vast amounts of data generated from production processes to identify patterns and insights that human operators might overlook. ML models continuously learn from this data, improving their accuracy and effectiveness over time. These technologies enable real-time adjustments to production parameters, ensuring optimal performance and product quality. For example, AI-driven systems can automatically adjust the
mix of raw materials to produce cement with consistent properties, reducing waste and improving efficiency. AI and ML also play a crucial role in predictive maintenance, forecasting potential issues based on historical data and preventing costly equipment failures.
Tushar Kulkarni, Head – Solutions, Innomotics India, says, “Adoption of artificial intelligence (AI) will significantly help cement plants in their efforts towards innovation, efficiency and sustainability goals through improved process optimisation and increased productivity.”
“The Innomotics Digi-Suite (AI-based) is positioned to support the cement industry in this endeavour. Built on microservices architecture, Digi-Suite offers flexible self-learning AI based solutions which can be customised or tailor-made in accordance with plant / customer requirements. It enables customers to implement their digitalisation strategies in a stepwise manner and scale it up to an entire plant or multiple plants. Through this platform, customers can monitor and manage processes centrally. This approach provides guidance for company-wide process standardisation, knowledge sharing and optimum utilisation of expert resources,” he adds.
Big Data analytics involves processing and analysing large volumes of data to extract meaningful insights. In the cement industry, Big Data analytics is used for predictive maintenance and strategic decision-making. By analysing data from various sources such as sensors, machinery logs, and production records, companies can predict equipment failures and schedule maintenance activities proactively. This approach minimises unplanned downtime and extends the lifespan of critical assets. Furthermore, Big Data analytics helps in optimising supply chain management, inventory control, and production planning by providing actionable insights into trends and patterns. Decision-makers can leverage these insights to make informed choices that enhance operational efficiency and competitiveness.
Arun Attri, Chief Information Officer, Wonder Cement, says, “The advantages of data integration are substantial. By leveraging integrated data,
we build a single source of truth, we can identify patterns, optimise processes, and implement strategic initiatives that drive overall business growth. This approach not only enhances operational efficiency but also strengthens our relationships with all stakeholders by providing a clear and consistent view of our operations.”
“By establishing a single source of truth, we ensure that all stakeholders, both internal and external, have access to consistent and accurate data. This unified data repository enhances visibility into our operations, improves decision-making, and enables comprehensive analyses. For internal stakeholders, such as our production, quality and maintenance teams, this means having reliable data to optimise processes and schedule maintenance effectively. For external stakeholders, including suppliers and customers, it ensures transparency and trust, as they can rely on the accuracy of the information provided,” he adds.
Cloud computing offers a scalable and flexible solution for data storage and access, playing a vital role in the digitalisation of the cement industry. By storing data in the cloud, companies can easily access and share information across different locations and departments. Cloud-based platforms facilitate real-time collaboration and data sharing, enabling seamless integration of various digital tools and systems. Additionally, cloud computing provides robust data security and backup solutions, ensuring that critical information is protected and can be recovered in case of data loss. The scalability of cloud services allows cement manufacturers to handle the increasing volume of data generated by IoT devices and other digital technologies, supporting their growth and innovation initiatives.

Digital twin technology
Digital twin technology involves creating a virtual replica of a physical asset, process, or system. This digital counterpart is continuously updated with real-time data from sensors and other sources, mirroring the physical entity’s performance, behaviour and condition. In the cement industry, digital twins
offer numerous benefits. They enable real-time monitoring and analysis, allowing operators to visualise and understand complex processes in detail. This enhanced visibility helps in optimising production, improving efficiency, and reducing downtime. Digital twins also facilitate predictive maintenance by simulating various scenarios and identifying potential issues before they occur, thereby extending the lifespan of equipment and minimising maintenance costs. Moreover, they support data-driven decision-making by providing comprehensive insights into operations, leading to better resource management and increased productivity.
Tarun Mishra, Founder and CEO, Covacsis, explains, “Different plant data reside within the walls of individual plants. Comparing micro economic performance across plants is impossible. Covacsis’ IPF is designed to aggregate multiple plant’s data at unified enterprise datalike (historian) which then further used for relative baselining and relative performance analysis across same and similar asset base or product or processes.”
“Data plays the most important role in any algorithm. Big data and fast data are only adding to the logistics performance of any algorithm and platform. Covacsis is a decade old and most mature platform in the world. Covacsis’ SaaS infrastructure is already handling more than 350 billion of cement process and operation data on a daily basis with a compounding daily growth rate of 1 per cent. This provides a significant advantage to Covacsis towards building algorithms and ensuring the value efficacy of these algorithms for the industry,” he elaborates.
The implementation of digital twins in cement plants involves several steps. First, detailed models of the plant’s equipment, processes, and systems are created using data from various sources such as sensors, historical records, and engineering specifications. These models are then integrated into a digital platform that continuously collects and analyses real-time data from the physical plant. For instance, a digital twin of a cement kiln can monitor temperature, pressure, and other critical parameters, allowing operators to optimise the combustion process and improve energy efficiency.
Similarly, digital twins of grinding mills can help in adjusting operational parameters to achieve optimal particle size distribution and improve cement quality. The integration of digital twins with other digital technologies such as IoT, AI and Big Data analytics enhances their capabilities, providing a comprehensive and dynamic view of the entire production process. As a result, cement plants can achieve significant improvements in operational efficiency, product quality and sustainability.

Automation in cement production
Automation plays a pivotal role in enhancing productivity within the cement industry by streamlining operations and reducing the reliance on manual labor. Automated systems and machinery can perform repetitive and complex tasks with higher precision and consistency than human workers. This leads to significant improvements in operational efficiency and throughput. For instance, automated material handling systems can manage the movement and storage of raw materials and finished products more effectively, minimising delays and reducing handling costs.
Automated process control systems enable real-time monitoring and adjustments of production parameters, ensuring optimal performance and reducing waste. Additionally, automation helps in maintaining consistent product quality by minimising human errors and variations in the manufacturing process. Overall, the integration of automation technologies results in faster production cycles, lower operational costs, and increased competitiveness in the market.
The introduction of automation in the cement industry has a profound impact on workforce skills and safety. As automation takes over routine and hazardous tasks, the demand for manual labour decreases, and the focus shifts to more technical and supervisory roles. Workers are required to develop new skills in operating and maintaining automated systems, as well as in data analysis and problem-solving. This shift necessitates continuous training and upskilling to ensure the workforce can effectively manage and leverage advanced technologies.
On the safety front, automation significantly enhances worker safety by reducing their exposure to dangerous environments and tasks. Automated systems can handle heavy lifting, high-temperature processes, and exposure to harmful dust and chemicals, thereby minimising the risk of accidents and occupational health issues. As a result, automation not only boosts productivity but also contributes to a safer and more skilled workforce, fostering a more sustainable and resilient industry.

Energy efficiency and sustainability
Digital tools are revolutionising the way energy consumption is monitored and optimised in the cement industry. Advanced sensors and IoT devices continuously collect data on energy usage across different stages of the manufacturing process. This real-time data is analysed using AI and machine learning algorithms to identify patterns, inefficiencies, and opportunities for energy savings. Energy management systems (EMS) integrate these digital tools to provide a comprehensive overview of energy consumption, allowing operators to make informed decisions to reduce energy waste. For instance, predictive analytics can forecast energy demands and optimise the operation of high-energy equipment, such as kilns and grinders, to align with periods of lower energy costs. Additionally, automated control systems can adjust operational parameters to maintain optimal energy efficiency, thereby reducing the overall energy footprint of the plant.
McKinsey & Company for the cement industry analyse that pursuing digitisation and sustainability levers are key to significantly boosting productivity and efficiency of a typical cement plant. The result is a margin gain of $4 to $9 per tonne of cement, which would shift a traditional plant to the top quartile of the cost curve for plants with similar technologies.
Digital technologies are also instrumental in driving sustainable practices within the cement industry. By providing precise control over production processes, digital tools help in minimising raw material wastage and reducing emissions. For example, advanced process control (APC) systems optimise the combustion process in kilns, leading to more efficient fuel use and lower carbon dioxide emissions. Digital twins, which create virtual replicas of physical assets, enable detailed simulations and scenario analyses, allowing companies to explore and implement more sustainable production methods. Furthermore, the integration of renewable energy sources,
such as solar and wind power, is facilitated by digital technologies that manage and balance energy loads effectively.
Digital platforms also support the implementation of circular economy practices, such as the use of alternative fuels and raw materials, by tracking and optimising their utilisation throughout the production cycle. Overall, digital technologies empower the cement industry to achieve significant advancements in energy efficiency and sustainability, contributing to environmental conservation and compliance with global sustainability standards.

Future of digitalisation
The cement industry is on the brink of a significant transformation driven by emerging technologies. Innovations such as artificial intelligence (AI), machine learning (ML), advanced robotics, and blockchain are poised to revolutionise various aspects of cement production and supply chain management. AI and ML will enable more sophisticated predictive maintenance and process optimisation, reducing downtime and increasing efficiency. Advanced robotics will automate more complex and hazardous tasks, further enhancing productivity and worker safety. Blockchain technology offers potential benefits in enhancing transparency and traceability in the supply chain, ensuring the integrity of product quality and compliance with environmental regulations. These emerging technologies will collectively contribute to a more efficient, reliable, and sustainable cement industry.
Smart cement plants represent the future of the industry, where digital technologies are fully integrated to create highly automated and interconnected production environments. In these plants, IoT devices, digital twins and AI-driven systems will work together seamlessly to monitor, control and optimise every aspect of the manufacturing process. Real-time data from sensors will feed into advanced analytics platforms, enabling instant adjustments to maintain optimal performance. Digital twins will allow operators to simulate and test changes in a virtual environment before implementing them in the physical plant, minimising risks and enhancing decision-making. Furthermore, smart cement plants will incorporate renewable energy sources and energy storage solutions, supported by intelligent energy management systems that ensure efficient and sustainable operations.
Over the next decade, the digital transformation of the cement industry is expected to accelerate, driven by continuous advancements in technology and increasing demands for sustainability. We can anticipate widespread adoption of AI and ML for real-time process optimisation and predictive maintenance, leading to significant reductions in operational costs and emissions. The use of digital twins will become standard practice, enabling more precise and flexible production planning and execution.
Enhanced connectivity and data sharing across the supply chain will improve efficiency, transparency, and collaboration among stakeholders. Additionally, the integration of renewable energy and advanced energy storage solutions will become more prevalent, supported by digital platforms that optimise energy usage and reduce environmental impact. As the industry embraces these digital innovations, we will see a new era of smart, sustainable, and highly efficient cement manufacturing, positioning it to meet the challenges and opportunities of the future.

Conclusion
The digital transformation of the cement industry is poised to revolutionise traditional manufacturing processes, driving significant advancements in efficiency, sustainability, and competitiveness. Emerging technologies such as IoT, AI, ML advanced robotics, and blockchain are not only optimising energy consumption and improving operational efficiency but are also paving the way for more sustainable practices. The evolution towards smart cement plants, where digital tools are fully integrated, is set to redefine production environments with enhanced automation, real-time monitoring and advanced analytics.
Over the next decade, we can expect these technologies to become standard practice, leading to substantial reductions in costs and emissions, improved supply chain transparency, and greater adoption of renewable energy sources. As the industry embraces digitalisation, it will be better equipped to meet future challenges and seize new opportunities, ultimately contributing to a more sustainable and resilient
global economy.

– Kanika Mathur

Concrete

Refractory demands in our kiln have changed

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Radha Singh, Senior Manager (P&Q), Shree Digvijay Cement, points out why performance, predictability and life-cycle value now matter more than routine replacement in cement kilns.

As Indian cement plants push for higher throughput, increased alternative fuel usage and tighter shutdown cycles, refractory performance in kilns and pyro-processing systems is under growing pressure. In this interview, Radha Singh, Senior Manager (P&Q), Shree Digvijay Cement, shares how refractory demands have evolved on the ground and how smarter digital monitoring is improving kiln stability, uptime and clinker quality.

How have refractory demands changed in your kiln and pyro-processing line over the last five years?
Over the last five years, refractory demands in our kiln and pyro line have changed. Earlier, the focus was mostly on standard grades and routine shutdown-based replacement. But now, because of higher production loads, more alternative fuels and raw materials (AFR) usage and greater temperature variation, the expectation from refractory has increased.
In our own case, the current kiln refractory has already completed around 1.5 years, which itself shows how much more we now rely on materials that can handle thermal shock, alkali attack and coating fluctuations. We have moved towards more stable, high-performance linings so that we don’t have to enter the kiln frequently for repairs.
Overall, the shift has been from just ‘installation and run’ to selecting refractories that give longer life, better coating behaviour and more predictable performance under tougher operating conditions.

What are the biggest refractory challenges in the preheater, calciner and cooler zones?
• Preheater: Coating instability, chloride/sulphur cycles and brick erosion.
• Calciner: AFR firing, thermal shock and alkali infiltration.
• Cooler: Severe abrasion, red-river formation and mechanical stress on linings.
Overall, the biggest challenge is maintaining lining stability under highly variable operating conditions.

How do you evaluate and select refractory partners for long-term performance?
In real plant conditions, we don’t select a refractory partner just by looking at price. First, we see their past performance in similar kilns and whether their material has actually survived our operating conditions. We also check how strong their technical support is during shutdowns, because installation quality matters as much as the material itself.
Another key point is how quickly they respond during breakdowns or hot spots. A good partner should be available on short notice. We also look at their failure analysis capability, whether they can explain why a lining failed and suggest improvements.
On top of this, we review the life they delivered in the last few campaigns, their supply reliability and their willingness to offer plant-specific custom solutions instead of generic grades. Only a partner who supports us throughout the life cycle, which includes selection, installation, monitoring and post-failure analysis, fits our long-term requirement.

Can you share a recent example where better refractory selection improved uptime or clinker quality?
Recently, we upgraded to a high-abrasion basic brick at the kiln outlet. Earlier we had frequent chipping and coating loss. With the new lining, thermal stability improved and the coating became much more stable. As a result, our shutdown interval increased and clinker quality remained more consistent. It had a direct impact on our uptime.

How is increased AFR use affecting refractory behaviour?
Increased AFR use is definitely putting more stress on the refractory. The biggest issue we see daily is the rise in chlorine, alkalis and volatiles, which directly attack the lining, especially in the calciner and kiln inlet. AFR firing is also not as stable as conventional fuel, so we face frequent temperature fluctuations, which cause more thermal shock and small cracks in the lining.
Another real problem is coating instability. Some days the coating builds too fast, other days it suddenly drops, and both conditions impact refractory life. We also notice more dust circulation and buildup inside the calciner whenever the AFR mix changes, which again increases erosion.
Because of these practical issues, we have started relying more on alkali-resistant, low-porosity and better thermal shock–resistant materials to handle the additional stress coming from AFR.

What role does digital monitoring or thermal profiling play in your refractory strategy?
Digital tools like kiln shell scanners, IR imaging and thermal profiling help us detect weakening areas much earlier. This reduces unplanned shutdowns, helps identify hotspots accurately and allows us to replace only the critical sections. Overall, our maintenance has shifted from reactive to predictive, improving lining life significantly.

How do you balance cost, durability and installation speed during refractory shutdowns?
We focus on three points:
• Material quality that suits our thermal profile and chemistry.
• Installation speed, in fast turnarounds, we prefer monolithic.
• Life-cycle cost—the cheapest material is not the most economical. We look at durability, future downtime and total cost of ownership.
This balance ensures reliable performance without unnecessary expenditure.

What refractory or pyro-processing innovations could transform Indian cement operations?
Some promising developments include:
• High-performance, low-porosity and nano-bonded refractories
• Precast modular linings to drastically reduce shutdown time
• AI-driven kiln thermal analytics
• Advanced coating management solutions
• More AFR-compatible refractory mixes

These innovations can significantly improve kiln stability, efficiency and maintenance planning across the industry.

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Concrete

Digital supply chain visibility is critical

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MSR Kali Prasad, Chief Digital and Information Officer, Shree Cement, discusses how data, discipline and scale are turning Industry 4.0 into everyday business reality.

Over the past five years, digitalisation in Indian cement manufacturing has moved decisively beyond experimentation. Today, it is a strategic lever for cost control, operational resilience and sustainability. In this interview, MSR Kali Prasad, Chief Digital and Information Officer, Shree Cement, explains how integrated digital foundations, advanced analytics and real-time visibility are helping deliver measurable business outcomes.

How has digitalisation moved from pilot projects to core strategy in Indian cement manufacturing over the past five years?
Digitalisation in Indian cement has evolved from isolated pilot initiatives into a core business strategy because outcomes are now measurable, repeatable and scalable. The key shift has been the move away from standalone solutions toward an integrated digital foundation built on standardised processes, governed data and enterprise platforms that can be deployed consistently across plants and functions.
At Shree Cement, this transition has been very pragmatic. The early phase focused on visibility through dashboards, reporting, and digitisation of critical workflows. Over time, this has progressed into enterprise-level analytics and decision support across manufacturing and the supply chain,
with clear outcomes in cost optimisation, margin protection and revenue improvement through enhanced customer experience.
Equally important, digital is no longer the responsibility of a single function. It is embedded into day-to-day operations across planning, production, maintenance, despatch and customer servicing, supported by enterprise systems, Industrial Internet of Things (IIoT) data platforms, and a structured approach to change management.

Which digital interventions are delivering the highest ROI across mining, production and logistics today?
In a capital- and cost-intensive sector like cement, the highest returns come from digital interventions that directly reduce unit costs or unlock latent capacity without significant capex.
Supply chain and planning (advanced analytics): Tools for demand forecasting, S&OP, network optimisation and scheduling deliver strong returns by lowering logistics costs, improving service levels, and aligning production with demand in a fragmented and regionally diverse market.
Mining (fleet and productivity analytics): Data-led mine planning, fleet analytics, despatch discipline, and idle-time reduction improve fuel efficiency and equipment utilisation, generating meaningful savings in a cost-heavy operation.
Manufacturing (APC and process analytics): Advanced Process Control, mill optimisation, and variability reduction improve thermal and electrical efficiency, stabilise quality and reduce rework and unplanned stoppages.
Customer experience and revenue enablement (digital platforms): Dealer and retailer apps, order visibility and digitally enabled technical services improve ease of doing business and responsiveness. We are also empowering channel partners with transparent, real-time information on schemes, including eligibility, utilisation status and actionable recommendations, which improves channel satisfaction and market execution while supporting revenue growth.
Overall, while Artificial Intelligence (AI) and IIoT are powerful enablers, it is advanced analytics anchored in strong processes that typically delivers the fastest and most reliable ROI.

How is real-time data helping plants shift from reactive maintenance to predictive and prescriptive operations?
Real-time and near real-time data is driving a more proactive and disciplined maintenance culture, beginning with visibility and progressively moving toward prediction and prescription.
At Shree Cement, we have implemented a robust SAP Plant Maintenance framework to standardise maintenance workflows. This is complemented by IIoT-driven condition monitoring, ensuring consistent capture of equipment health indicators such as vibration, temperature, load, operating patterns and alarms.
Real-time visibility enables early detection of abnormal conditions, allowing teams to intervene before failures occur. As data quality improves and failure histories become structured, predictive models can anticipate likely failure modes and recommend timely interventions, improving MTBF and reducing downtime. Over time, these insights will evolve into prescriptive actions, including spares readiness, maintenance scheduling, and operating parameter adjustments, enabling reliability optimisation with minimal disruption.
A critical success factor is adoption. Predictive insights deliver value only when they are embedded into daily workflows, roles and accountability structures. Without this, they remain insights without action.

In a cost-sensitive market like India, how do cement companies balance digital investment with price competitiveness?
In India’s intensely competitive cement market, digital investments must be tightly linked to tangible business outcomes, particularly cost reduction, service improvement, and faster decision-making.
This balance is achieved by prioritising high-impact use cases such as planning efficiency, logistics optimisation, asset reliability, and process stability, all of which typically deliver quick payback. Equally important is building scalable and governed digital foundations that reduce the marginal cost of rolling out new use cases across plants.
Digitally enabled order management, live despatch visibility, and channel partner platforms also improve customer centricity while controlling cost-to-serve, allowing service levels to improve without proportionate increases in headcount or overheads.
In essence, the most effective digital investments do not add cost. They protect margins by reducing variability, improving planning accuracy, and strengthening execution discipline.

How is digitalisation enabling measurable reductions in energy consumption, emissions, and overall carbon footprint?
Digitalisation plays a pivotal role in improving energy efficiency, reducing emissions and lowering overall carbon intensity.
Real-time monitoring and analytics enable near real-time tracking of energy consumption and critical operating parameters, allowing inefficiencies to be identified quickly and corrective actions to be implemented. Centralised data consolidation across plants enables benchmarking, accelerates best-practice adoption, and drives consistent improvements in energy performance.
Improved asset reliability through predictive maintenance reduces unplanned downtime and process instability, directly lowering energy losses. Digital platforms also support more effective planning and control of renewable energy sources and waste heat recovery systems, reducing dependence on fossil fuels.
Most importantly, digitalisation enables sustainability progress to be tracked with greater accuracy and consistency, supporting long-term ESG commitments.

What role does digital supply chain visibility play in managing demand volatility and regional market dynamics in India?
Digital supply chain visibility is critical in India, where demand is highly regional, seasonality is pronounced, and logistics constraints can shift rapidly.
At Shree Cement, planning operates across multiple horizons. Annual planning focuses on capacity, network footprint and medium-term demand. Monthly S&OP aligns demand, production and logistics, while daily scheduling drives execution-level decisions on despatch, sourcing and prioritisation.
As digital maturity increases, this structure is being augmented by central command-and-control capabilities that manage exceptions such as plant constraints, demand spikes, route disruptions and order prioritisation. Planning is also shifting from aggregated averages to granular, cost-to-serve and exception-based decision-making, improving responsiveness, lowering logistics costs and strengthening service reliability.

How prepared is the current workforce for Industry 4.0, and what reskilling strategies are proving most effective?
Workforce preparedness for Industry 4.0 is improving, though the primary challenge lies in scaling capabilities consistently across diverse roles.
The most effective approach is to define capability requirements by role and tailor enablement accordingly. Senior leadership focuses on digital literacy for governance, investment prioritisation, and value tracking. Middle management is enabled to use analytics for execution discipline and adoption. Frontline sales and service teams benefit from
mobile-first tools and KPI-driven workflows, while shop-floor and plant teams focus on data-driven operations, APC usage, maintenance discipline, safety and quality routines.
Personalised, role-based learning paths, supported by on-ground champions and a clear articulation of practical benefits, drive adoption far more effectively than generic training programmes.

Which emerging digital technologies will fundamentally reshape cement manufacturing in the next decade?
AI and GenAI are expected to have the most significant impact, particularly when combined with connected operations and disciplined processes.
Key technologies likely to reshape the sector include GenAI and agentic AI for faster root-cause analysis, knowledge access, and standardisation of best practices; industrial foundation models that learn patterns across large sensor datasets; digital twins that allow simulation of process changes before implementation; and increasingly autonomous control systems that integrate sensors, AI, and APC to maintain stability with minimal manual intervention.
Over time, this will enable more centralised monitoring and management of plant operations, supported by strong processes, training and capability-building.

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Concrete

Redefining Efficiency with Digitalisation

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Professor Procyon Mukherjee discusses how as the cement industry accelerates its shift towards digitalisation, data-driven technologies are becoming the mainstay of sustainability and control across the value chain.

The cement industry, long perceived as traditional and resistant to change, is undergoing a profound transformation driven by digital technologies. As global infrastructure demand grows alongside increasing pressure to decarbonise and improve productivity, cement manufacturers are adopting data-centric tools to enhance performance across the value chain. Nowhere is this shift more impactful than in grinding, which is the energy-intensive final stage of cement production, and in the materials that make grinding more efficient: grinding media and grinding aids.

The imperative for digitalisation
Cement production accounts for roughly 7 per cent to 8 per cent of global CO2 emissions, largely due to the energy intensity of clinker production and grinding processes. Digital solutions, such as AI-driven process controls and digital twins, are helping plants improve stability, cut fuel use and reduce emissions while maintaining consistent product quality. In one deployment alongside ABB’s process controls at a Heidelberg plant in Czechia, AI tools cut fuel use by 4 per cent and emissions by 2 per cent, while also improving operational stability.
Digitalisation in cement manufacturing encompasses a suite of technologies, broadly termed as Industrial Internet of Things (IIoT), AI and machine learning, predictive analytics, cloud-based platforms, advanced process control and digital twins, each playing a role in optimising various stages of production from quarrying to despatch.

Grinding: The crucible of efficiency and cost
Of all the stages in cement production, grinding is among the most energy-intensive, historically consuming large amounts of electricity and representing a significant portion of plant operating costs. As a result, optimising grinding operations has become central to digital transformation strategies.
Modern digital systems are transforming grinding mills from mechanical workhorses into intelligent, interconnected assets. Sensors throughout the mill measure parameters such as mill load, vibration, mill speed, particle size distribution, and power consumption. This real-time data, fed into machine learning and advanced process control (APC) systems, can dynamically adjust operating conditions to maintain optimal throughput and energy usage.
For example, advanced grinding systems now predict inefficient conditions, such as impending mill overload, by continuously analysing acoustic and vibration signatures. The system can then proactively adjust clinker feed rates and grinding media distribution to sustain optimal conditions, reducing energy consumption and improving consistency.

Digital twins: Seeing grinding in the virtual world
One of the most transformative digital tools applied in cement grinding is the digital twin, which a real-time virtual replica of physical equipment and processes. By integrating sensor data and
process models, digital twins enable engineers to simulate process variations and run ‘what-if’
scenarios without disrupting actual production. These simulations support decisions on variables such as grinding media charge, mill speed and classifier settings, allowing optimisation of energy use and product fineness.
Digital twins have been used to optimise kilns and grinding circuits in plants worldwide, reducing unplanned downtime and allowing predictive maintenance to extend the life of expensive grinding assets.

Grinding media and grinding aids in a digital era
While digital technologies improve control and prediction, materials science innovations in grinding media and grinding aids have become equally crucial for achieving performance gains.
Grinding media, which comprise the balls or cylinders inside mills, directly influence the efficiency of clinker comminution. Traditionally composed of high-chrome cast iron or forged steel, grinding media account for nearly a quarter of global grinding media consumption by application, with efficiency improvements translating directly to lower energy intensity.
Recent advancements include ceramic and hybrid media that combine hardness and toughness to reduce wear and energy losses. For example, manufacturers such as Sanxin New Materials in China and Tosoh Corporation in Japan have developed sub-nano and zirconia media with exceptional wear resistance. Other innovations include smart media embedded with sensors to monitor wear, temperature, and impact forces in real time, enabling predictive maintenance and optimal media replacement scheduling. These digitally-enabled media solutions can increase grinding efficiency by as much as 15 per cent.
Complementing grinding media are grinding aids, which are chemical additives that improve mill throughput and reduce energy consumption by altering the surface properties of particles, trapping air, and preventing re-agglomeration. Technology leaders like SIKA AG and GCP Applied Technologies have invested in tailored grinding aids compatible with AI-driven dosing platforms that automatically adjust additive concentrations based on real-time mill conditions. Trials in South America reported throughput improvements nearing 19 per cent when integrating such digital assistive dosing with process control systems.
The integration of grinding media data and digital dosing of grinding aids moves the mill closer to a self-optimising system, where AI not only predicts media wear or energy losses but prescribes optimal interventions through automated dosing and operational adjustments.

Global case studies in digital adoption
Several cement companies around the world exemplify digital transformation in practice.
Heidelberg Materials has deployed digital twin technologies across global plants, achieving up to 15 per cent increases in production efficiency and 20 per cent reductions in energy consumption by leveraging real-time analytics and predictive algorithms.
Holcim’s Siggenthal plant in Switzerland piloted AI controllers that autonomously adjusted kiln operations, boosting throughput while reducing specific energy consumption and emissions.
Cemex, through its AI and predictive maintenance initiatives, improved kiln availability and reduced maintenance costs by predicting failures before they occurred. Global efforts also include AI process optimisation initiatives to reduce energy consumption and environmental impact.

Challenges and the road ahead
Despite these advances, digitalisation in cement grinding faces challenges. Legacy equipment may lack sensor readiness, requiring retrofits and edge-cloud connectivity upgrades. Data governance and integration across plants and systems remains a barrier for many mid-tier producers. Yet, digital transformation statistics show momentum: more than half of cement companies have implemented IoT sensors for equipment monitoring, and digital twin adoption is growing rapidly as part of broader Industry 4.0 strategies.
Furthermore, as digital systems mature, they increasingly support sustainability goals: reduced energy use, optimised media consumption and lower greenhouse gas emissions. By embedding intelligence into grinding circuits and material inputs like grinding aids, cement manufacturers can strike a balance between efficiency and environmental stewardship.
Conclusion
Digitalisation is not merely an add-on to cement manufacturing. It is reshaping the competitive and sustainability landscape of an industry often perceived as inertia-bound. With grinding representing a nexus of energy intensity and cost, digital technologies from sensor networks and predictive analytics to digital twins offer new levers of control. When paired with innovations in grinding media and grinding aids, particularly those with embedded digital capabilities, plants can achieve unprecedented gains in efficiency, predictability and performance.
For global cement producers aiming to reduce costs and carbon footprints simultaneously, the future belongs to those who harness digital intelligence not just to monitor operations, but to optimise and evolve them continuously.

About the author:
Professor Procyon Mukherjee, ex-CPO Lafarge-Holcim India, ex-President Hindalco, ex-VP Supply Chain Novelis Europe,
has been an industry leader in logistics, procurement, operations and supply chain management. His career spans 38 years starting from Philips, Alcan Inc (Indian Aluminum Company), Hindalco, Novelis and Holcim. He authored the book, ‘The Search for Value in Supply Chains’. He serves now as Visiting Professor in SP Jain Global, SIOM and as the Adjunct Professor at SBUP. He advises leading Global Firms including Consulting firms on SCM and Industrial Leadership and is a subject matter expert in aluminum and cement. An Alumnus of IIM Calcutta and Jadavpur University, he has completed the LH Senior Leadership Programme at IVEY Academy at Western University, Canada.

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