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Cement companies are investing in technologies

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Arvind Kakru, Director Sales, Rockwell Automation, talks about the difference digitisation can make in the cement manufacturing and distribution processes, its long term impact and its contribution to the sustainability efforts of the industry as a whole.

How important is digital transformation in cement plants? How can it impact the business positively?
The cement plant of the future will have to focus on lower operating costs and higher asset values, which would mean higher energy efficiency, yield and throughput. The big levers for the cement plants would be carbon emission, yield and throughput, process utilisations, automations, and more.
The objective or the ultimate gains that people are looking at are demand driven production, streamline quality and compliance, data and knowledge driven efficiency, risk management and secure operation of the plant. A lot of it has to go from the smart manufacturing point of view, that would not only result in increasing the safety and automating the decision making but also improve reliability, increased efficiencies, improved process controls, reducing power consumption of their energy efficiency which is a big thing for cement plants. Also, looking at real time monitoring, reducing the carbon footprint and improving the operational flexibility. And there are some things that we potentially opt for as solutions around the smart manufacturing space would be smart yield optimisation, asset life cycle management, creative quality, intelligent machine manufacturing, productive asset reliability and much more. Such things possibly give access to technology led innovations, also go on a little deeper in meeting the regulatory compliance, which could be statuary in nature, related to quality, compliance or even manufacturing standards of the cement industry in general. Since we all know that cement is a big contributor to the carbon dioxide emission, and these solutions are not the solutions just from the operations point of view but sustainability point of view which is impactful.


What is the expected monetary investment by cement organisations to make their plants adapt to new digitalisation?
This would vary from plant to plants or manufacturer to manufacturer. Also, depending upon what stage of digital journey they are on. Some people would be much more evolved and they already would have an investment, or seen business cases explained and executed. So, these are the people who possibly would spend much more.
People like us might be a little early in the cycle in that space. If I had to modify something, we would start from rupees forty to fifty lakhs, also which is around analytics and that could be used as a pilot case to be used to determine if there is a serious business case and that kind of investment would really pay off. Because the time for the execution would not be more than a few months and at the same point of time, the investment is not very much high. And they would possibly feel much more comfortable after evolving and evaluating that process and accordingly make the investments. This is very little investment and such investments are coherent which means that can be evolved and still be connected with other sections of the plant that could be integrated at the later stage, they are scalable, and ultimately going plant wide or the enterprise wide.
Other areas of benefit where small investments could result in big transformation could be processed digitalisation and process automation overall where 10 to 15 per cent is the estimated gain on the productivity. So, rupees forty to fifty lakh of investment could result in a much higher return of investment and possibly in less than a year. It could vary from a very small amount to ultimately a larger amount of capital expenditure which would be a few crore rupees but that could be distributed over a period of time. And if you go enterprise wise execution on the digital expansion or the digital roll outs for the programs looking at the multiple areas of the plant, process machinery, etc. it could go into a few years of capex and opex (recurring charges on the software that you possibly potentially upfront).

Multiple players in the industry are moving towards making cement production sustainable. How can your technology help in achieving those targets?
If you look at the labors for cement producers, they have increased in energy efficiency and use of alternate materials like fuel, raw materials, etc. The conventional measures to reduce carbon dioxide emission from cement manufacturing for further improvement in thermal energy efficiency and other innovative technologies that people keep on pursuing. This means all very significant in terms of transformation for the cement industry.
Talking about the commitment, by 2030 the cement industry contributes to possibly around 0.3 per cent annually, reducing the carbon emissions. So, process control becomes very critical to set your old machines to be very efficient, also making the plant connected which is a lot of technologies kept connected together because then you pull in individual resources and then get on to them at the corporate or an enterprise level which helps you look at everything like a dashboard or one consolidated level and that helps you to mind data through quality, production, process parameters and allowing operator to understand the energy consumption. Another big thing would be productive control, machine learning, etc. are some of the technologies that would be really helpful which possibly would help in productive maintenance forecasts. So when the failures occur, machine learning understands the forecasting orders and runs algorithms which predict failures, categorises them, observe the pattern and notify the people who need to know the insights. They also reduce the down time to reduce the maintenance cost related to that. AR, VR could be useful in space when you are looking at those downtimes, reducing them, and giving quality expert advice from remote rather than somebody physically traveling. This in turn results in quicker recovery or a turn-around time. Then there are things related to anomaly detection, which again comes from productive control or the machine learning part of cement operations such as grinding, blending, cooling, pre-heating. It detects failure or poor performance in the process and they also improve overtime making it easier for the cement plants to implement one or more solutions for persistent operative decision making. These are some of the areas which really help in energy performance, lowering the operating cost, improving the quality like reduction of raw materials, fuels, and also emission related to greenhouse gas and reduction contribution, because of all these process improvements in digital programs.

Tell us about the technology supporting the ‘Connected Cement Plant’.
You look at multiple levels in a particular program, one of the things is the devices operating on the shop floor or the manufacturing site. They have to be intelligent otherwise how will you get the data? So, we have to ensure that all of the data on the field level are intelligent devices, as in they have control over the process, they have sensors in place and have software connectivity which throws off the data on the larger enterprise level. Next is that when you connect these IoT gateways, you ensure that connectivity with process control with power equipment along the field which is actually controlling your machine and equipment in a particular manufacturing environment. And from there on you take it to the next level where you are controlling and after the monitoring, observing and taking a lot of data over there, which is helping in supply chain simulations, process optimisation, conditioning and monitoring the equipment and then throwing up to the next level, which is connecting all the third-party enterprises. And then look at process optimisation and then you connect them to a particular platform, which can be a scale up platform, control platform or an IoT platform related to visual analytics, remote monitoring, productive analytics and ultimately connecting to the enterprise and the business applications. You are connecting the suppliers of the market to the consumers. If you have that end-to-end visibility, it’s a great thing in terms of controlling the manufacturing operations, getting most out of your assets and design building, upgrading with confidence so as to take necessary decisions. We could see big things in the last two years during the Covid times and that is a helpful outcome of the digital process in a connected cement plant.

Cement plants often face challenges in understanding the fluctuating demand of the market. How can automation come to aid this challenge?
Cement countries are further exploring and investing in new age technologies which
includes artificial intelligence, machine learning, business analytics, and digital control towers to control and enhance supply chain and logistics visibility. Demand forecast helps in managing the demand and supply of the products, let’s say ready mix cement and complete supply and consolidated network of checkpoints, milestones, needs to be monitored for a very organised transaction. PwC (Pricewaterhouse Coopers) study says that digitised supply chains are the major revenue booster for cement manufacturing companies. An outgrown supply chain performs complex tasks from inventory, procurement to distribution of finished goods. Also, streamlines demand and inventory sourcing and distribution to the channel partners in the value chain overall. So, other than the inventory management, on the transportation side, how much fuel is consumed by the truckers is also monitored. We could optimise the transportation and make real time decisions on how demand is ramping up at some places or scaling down. If you also carry multiple operations, the states and geographies have varied rates of cement. So, one has to consider whether it is possible to transport from one manufacturing location to another region which is a more efficient manufacturing location and also profitable or not? It can even expand from the supply chain side of it all the fluctuating demand rate actually connecting with the operation and the top line and bottom line of the company.


How does The PlantPAx® distributed control system (DCS) help achieve efficiency in design and feature? How can the impact be quantified?
If you typically look at the DCS system of the cement plant, it has a behavioral pattern where the process automation includes instrumentation, power and control. So, there are electronics in the automation package which goes into the additional arenas as well also include control and instrumental package. We offer an open standard DCS distributed control system that has a flexible platform to address all ranges of plant sizes. It has a very high availability and redundancy to take care of running operation of the plant. There is no down time or failure. It has integrated diagnostics through which we are able to really look at what is happening right or wrong at your plant and accordingly take corrective actions. It has powerful and seamless connectivity with the field instrumentation and devices. The more connected you are the more ability you have in terms of looking at what is happening in a particular plant. And from there you can build up all the data which is at the heart of the system, then you have an embedded model equipped control with that you have premium integration with smart water control. So overall if you look at it there is simplified design, an improved operation, there is a safety and security part of it and its future ready enabled with the latest in the technology which can easily be connected with other intelligent devices across the manufacturing plant or any other place. It helps in manufacturing at the down time and is scalable. We have this feature in PlantPAx 5.0 onwards which reduces footprints and consistent delivery streamlining of workload, cyber security, and analytics enabled. It also results in empowering the operators and reducing the training cost for them. It also results in improved maintenance in all critical areas and helps in maintaining the availability. It enables decisions at a system level and also is very cyber secured and complied to ISA 99, ISA 62, which helps us to put in difference in depth solutions and help in making the process compliant, safe, secure and scalable.

Tell us more about the convergence of Information Technology (IT) and Operational Technology (OT) tools by Rockwell Automation. What is the return on investment a cement company expects on this technology investment?
Rockwell Automation is the company best known for its focus on Information Technology (IT) and Operational Technology (OT), we say we are the possibly the best company that has expertise in both areas. When we say convergence of IT and OT, the convergence of software and machinery in the production environment is assuring a new era of connected operations for a lot of industries and or cement also.
It offers enhanced levels of efficiency and opportunity for better decision making across all aspects of manufacturing and production. Connecting the process control measurement and safety system at a production site with IT infrastructure and application enables more connectivity for highly valuable time data and remote support. On the other hand, they want to minimise the risk of the outcome which can be managed in a very safe, secured and compliant way. There are multiple ways to integrate the process and ensure the information can flow freely across IT and OT systems, which would be to identify and align critical data facts to consider the entire supply value chain, fill in the security gap, set up for the third-party integration and enable capabilities.
If I look at securely converging IT and OT system which means potential, intentional network design and security at Rockwell Enterprises we address the cyber risk, connecting all asset converge plants via internet communications protocol, create an environment of real time resolution, and also look at the right execution standards and strategies, and maintain business continuity through implementation. It helps us to deliver the benefit to secure operation, reduce vulnerability and also achieve a lot of those benefits. In our own environment we tested in our factories, the annual production improvement included about 5 per cent apex, avoidance about 30 per cent inventory, in one particular case we reduced for 120-82 days and delivery went really good, also, the lead time was reduced by 50 per cent. It’s really important for people to make those decisions and gains are really big.

Data plays a huge role in bringing operational and productivity efficiency by connecting assets, people and information. How does your organisation make that happen through digital automation?
We start with smart devices, smart machines at some place which enables the data throw up at the enterprise level. Then the process automation and the package power overall which results in overall operation efficiency and modern technologies here improve the performance of process, equipment and people. A smart device we have a smart device and manufacturing overall connecting all the individual cells in a particular manufacturing environment and then taking it to larger manufacturing. Then looking at third party integration, market visibility which is from mining to market right where our consumers are and connected workforce. At the same point of time you throw up on the enterprise level a lot of data with the proper technologies you go into knowledge operation which means you offer solutions and enable better decision making. It’s like an end to end process from a basic manufacturing level to going right up to the enterprise level offering solutions that help you look at your past historical data, real time data (the current data). Also, in some cases you can have the data of the future which shows predictions.

What kind of innovative technological solutions for the cement plants can be expected in the future from your organisation?
We have been looking at some of the solutions already with some of the other industries where we have taken a lead. Cement did not used to be organised before and now that we see a lot of things coming in from the market point of view, regulatory point of view, sustainability point of view, helping people or cement manufacturers or the decision makers who focus aggressively on some of these things.
Talking about advanced process control which can be used to stabilise and optimise the key cement processes with the help of production increase in kilns and mills implications, controlling of energy usage which reduces in or helping in the reduction of process and quality variability. So, another thing was model productivity control which optimises material blending, optimises thermal and commercial control for kilns. We would offer data analytics and IoT environment, advanced algorithms that help in improving yield, through good quality, energy, efficiency, etc. which also helps in Automated tracking of Overall Equipment Effectiveness (AOEE). Typically, it’s in a machine or a discrete manufacturing environment that is very critical. And also, advanced analytic enabled software to make strategies to improve quality or equipment reliability. Looking at operations if they are running as per plans, natural disasters and planning which have been helpful in the past for certain manufacturers, they offer new opportunities for digital collaboration, assistance for trouble shooting in some cases over a video, etc. can improve training needs, enhancing the safety of the workers to a large extent. It’s very important to have a cyber security program in place which goes from identification to detection, to protection and finally helping in response and recovery quickly. Some of these strategies would help in ensuring that there is no cyber attack in the first place because your equipment, network is secured. Also model predictive control machine learning which really helps in utilising the mathematical models where MPCs used for responding changes to the process and variable. So, they help in reducing downtime and making the equipment much more efficient and making the process much more reliable.

Kanika Mathur

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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Concrete

Digital Pathways for Sustainable Manufacturing

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Dr Y Chandri Naidu, Chief Technology Officer, Nextcem Consulting highlights how digital technologies are enabling Indian cement plants to improve efficiency, reduce emissions, and transition toward sustainable, low-carbon manufacturing.

Cement manufacturing is inherently resource- and energy-intensive due to high-temperature clinkerisation and extensive material handling and grinding operations. In India, where cement demand continues to grow in line with infrastructure development, producers must balance capacity expansion with sustainability commitments. Energy costs constitute a major share of operating expenditure, while process-related carbon dioxide emissions from limestone calcination remain unavoidable.
Traditional optimisation approaches, which are largely dependent on operator experience, static control logic and offline laboratory analysis, have reached their practical limits. This is especially evident when higher levels of alternative fuel and raw materials (AFR) are introduced or when raw material variability increases.
Digital technologies provide a systematic pathway to manage this complexity by enabling
real-time monitoring, predictive optimisation and integrated decision-making across cement manufacturing operations.
Digital cement manufacturing is enabled through a layered architecture integrating operational technology (OT) and information technology (IT). At the base are plant instrumentation, analysers, and automation systems, which generate continuous process data. This data is contextualised and analysed using advanced analytics and AI platforms, enabling predictive and prescriptive insights for operators and management.

Digital optimisation of energy efficiency

  • Thermal energy optimisation
    The kiln and calciner system accounts for approximately 60 per cent to 65 per cent of total energy consumption in an integrated cement plant. Digital optimisation focuses on reducing specific thermal energy consumption (STEC) while maintaining clinker quality and operational stability.
    Advanced Process Control (APC) stabilises critical parameters such as burning zone temperature, oxygen concentration, kiln feed rate and calciner residence time. By minimising process variability, APC reduces the need for conservative over-firing. Artificial intelligence further enhances optimisation by learning nonlinear relationships between raw mix chemistry, AFR characteristics, flame dynamics and heat consumption.
    Digital twins of kiln systems allow engineers to simulate operational scenarios such as increased AFR substitution, altered burner momentum or changes in raw mix burnability without operational risk. Indian cement plants adopting these solutions typically report STEC reductions in the range of 2 per cent to 5 per cent.
  • Electrical energy optimisation
    Electrical energy consumption in cement plants is dominated by grinding systems, fans and material transport equipment. Machine learning–based optimisation continuously adjusts mill parameters such as separator speed, grinding pressure and feed rate to minimise specific power consumption while maintaining product fineness.
    Predictive maintenance analytics identify inefficiencies caused by wear, fouling or imbalance in fans and motors. Plants implementing plant-wide electrical energy optimisation typically achieve
    3 per cent to 7 per cent reduction in specific power consumption, contributing to both cost savings and indirect CO2 reduction.

Digital enablement of AFR
AFR challenges in the Indian context: Indian cement plants increasingly utilise biomass, refuse-derived fuel (RDF), plastic waste and industrial by-products. However, variability in calorific value, moisture, particle size, chlorine and sulphur content introduces combustion instability, build-up formation and emission risks.
Digital AFR management: Digital platforms integrate real-time AFR quality data from online analysers with historical kiln performance data. Machine learning models predict combustion behaviour, flame stability and emission trends for different AFR combinations. Based on these predictions, fuel feed distribution, primary and secondary air ratios, and burner momentum are dynamically adjusted to ensure stable kiln operation. Digitally enabled AFR management in cement plants will result in increased thermal substitution rates by 5-15 percentage points, reduced fossil fuel dependency, and improved kiln stability.

Digital resource and raw material optimisation
Raw mix control: Raw material variability directly affects kiln operation and clinker quality. AI-driven raw mix optimisation systems continuously adjust feed proportions to maintain target chemical parameters such as Lime Saturation Factor (LSF), Silica Modulus (SM), and Alumina Modulus (AM). This reduces corrective material usage and improves kiln thermal efficiency.
Clinker factor reduction: Reducing clinker factor through supplementary cementitious materials (SCMs) such as fly ash, slag and calcined clay is a key decarbonisation lever. Digital models simulate blended cement performance, enabling optimisation of SCM proportions while maintaining strength and durability requirements.

Challenges and strategies for digital adoption
Key challenges in Indian cement plants include data quality limitations due to legacy instrumentation, resistance to algorithm-based decision-making, integration complexity across multiple OEM systems, and site-specific variability in raw materials and fuels.
Successful digital transformation requires strengthening the data foundation, prioritising high-impact use cases such as kiln APC and energy optimisation, adopting a human-in-the-loop approach, and deploying modular, scalable digital platforms with cybersecurity by design.

Future Outlook
Future digital cement plants will evolve toward autonomous optimisation, real-time carbon intensity tracking, and integration with emerging decarbonisation technologies such as carbon capture, utilisation and storage (CCUS). Digital platforms will also support ESG reporting and regulatory compliance.
Digital pathways offer a practical and scalable solution for sustainable cement manufacturing in India. By optimising energy consumption, enabling higher AFR substitution and improving resource efficiency, digital technologies deliver measurable environmental and economic benefits. With appropriate data infrastructure, organisational alignment and phased implementation, digital transformation will remain central to the Indian cement industry’s low-carbon transition.

About the author:
Dr Y Chandri Naidu is a cement industry professional with 30+ years of experience in process optimisation, quality control and quality assistance, energy conservation and sustainable manufacturing, across leading organisations including NCB, Ramco, Prism, Ultratech, HIL, NCL and Vedanta. He is known for guiding teams, developing innovative plant solutions and promoting environmentally responsible cement production. He is also passionate about mentoring professionals and advancing durable, resource efficient technologies for future of construction materials.

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Concrete

Turning Downtime into Actionable Intelligence

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Stoppage Insights instantly identifies root causes and maps their full operational impact.

In cement, mining and minerals processing operations, every unplanned stoppage equals lost production and reduced profitability. Yet identifying what caused a stoppage remains frustratingly complex. A single motor failure can trigger cascading interlocks and alarm floods, burying the root cause under layers of secondary events. Operators and maintenance teams waste valuable time tracing event chains when they should be solving problems. Until now.
Our latest innovation to our ECS Process Control Solution(1) eliminates this complexity. Stoppage Insights, available with the combined updates to our ECS/ControlCenter™ (ECS) software and ACESYS programming library, transforms stoppage events into clear, actionable intelligence. The system automatically identifies the root cause of every stoppage – whether triggered by alarms, interlocks, or operator actions – and maps all affected equipment. Operators can click any stopped motor’s faceplate to view what caused the shutdown instantly. The Stoppage UI provides a complete record of all stoppages with drill-down capabilities, replacing manual investigation with immediate answers.

Understanding root cause in Stoppage Insights
In Stoppage Insights, ‘root cause’ refers to the first alarm, interlock, or operator action detected by the control system. While this may not reveal the underlying mechanical, electrical or process failure that a maintenance team may later discover, it provides an actionable starting point for rapid troubleshooting and response. And this is where Stoppage Insights steps ahead of traditional first-out alarm systems (ISA 18.2). In this older type of system, the first alarm is identified in a group. This is useful, but limited, as it doesn’t show the complete cascade of events, distinguish between operator-initiated and alarm-triggered stoppages, or map downstream impacts. In contrast, Stoppage Insights provides complete transparency:

  • Comprehensive capture: Records both regular operator stops and alarm-triggered shutdowns.
  • Complete impact visibility: Maps all affected equipment automatically.
  • Contextual clarity: Eliminates manual tracing through alarm floods, saving critical response time.


David Campain, Global Product Manager for Process Control Systems, says, “Stoppage Insights takes fault analysis to the next level. Operators and maintenance engineers no longer need to trace complex event chains. They see the root cause clearly and can respond quickly.”

Driving results
1.Driving results for operations teams
Stoppage Insights maximises clarity to minimise downtime, enabling operators to:
• Rapidly identify root causes to shorten recovery time.
• View initiating events and all affected units in one intuitive interface.
• Access complete records of both planned and unplanned stoppages

  1. Driving results for maintenance and reliability teams
    Stoppage Insights helps prioritise work based on evidence, not guesswork:
    • Access structured stoppage data for reliability programmes.
    • Replace manual logging with automated, exportable records for CMMS, ERP or MES.(2)
    • Identify recurring issues and target preventive maintenance effectively.

  2. A future-proof and cybersecure foundation
    Our Stoppage Insights feature is built on the latest (version 9) update to our ACESYS advanced programming library. This industry-leading solution lies at the heart of the ECS process control system. Its structured approach enables fast engineering and consistent control logic across hardware platforms from Siemens, Schneider, Rockwell, and others.
    In addition to powering Stoppage Insights, ACESYS v9 positions the ECS system for open, interoperable architectures and future-proof automation. The same structured data used by Stoppage Insights supports AI-driven process control, providing the foundation for machine learning models and advanced analytics.
    The latest releases also respond to the growing risk of cyberattacks on industrial operational technology (OT) infrastructure, delivering robust cybersecurity. The latest ECS software update (version 9.2) is certified to IEC 62443-4-1 international cybersecurity standards, protecting your process operations and reducing system vulnerability.

What’s available now and what’s coming next?
The ECS/ControlCenter 9.2 and ACESYS 9 updates, featuring Stoppage Insights, are available now for:

  • Greenfield projects.
  • ECS system upgrades.
  • Brownfield replacement of competitor systems.
    Stoppage Insights will also soon integrate with our ECS/UptimeGo downtime analysis software. Stoppage records, including root cause identification and affected equipment, will flow seamlessly into UptimeGo for advanced analytics, trending and long-term reliability reporting. This integration creates a complete ecosystem for managing and improving plant uptime.

(1) The ECS Process Control Solution for cement, mining and minerals processing combines proven control strategies with modern automation architecture to optimise plant performance, reduce downtime and support operational excellence.
(2) CMMS refers to computerised maintenance management systems; ERP, to enterprise resource planning; and MES to manufacturing execution systems.

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