Technology
Logistics management in post-Covid-19 era
Published
6 years agoon
By
admin
Most supply chain professionals are still in the reactive phase of how to deal with this pandemic. That includes combating fear and uncertainty around shortages and gauging the overall impact the coronavirus will have on supply chain and logistics operations.
Logistics management is the backbone of any country’s economy. Logistics is unique, It never stops?.! Logistics is happening around the globe, 24×7. Logistics is concerned with getting products and services where they are needed when they are desired. It is very difficult to visualise any marketing or manufacturing without logistics support. Logistics has been performed since the beginning of civilisation. It’s hardly new.
Logistics involves the integration of information, transportation, inventory, warehousing, material handling and packaging. In any individual firms, logistics expenditure typically ranges from 5 to 35 per cent of sales depending on the type of business, geographical area of the operation and volume ratio of product and materials. Logistics typically accounts for one of the highest costs of doing business, second only to materials in manufacturing or cost of goods sold in wholesaling or retailing.
Logistics is the art and science of managing and controlling the flow of goods, energy, information and other resources like products, services and people from the source of production to the market. It involves the integration of information, transportation, inventory, warehousing, material handling and packaging.
The main objectives of logistics is to achieve "7 Rs" – "The right product, in right quantity, in right condition, at the right time and Right place for the right customer, at the right cost."
The global logistics market size is estimated to be $2,734 billion in 2020 and projected to reach $3,215 billion by 2021, at a YoY growth of 17.6 per cent. In our cement industry, the logistics cost is approximately Rs 39,000 crore (23 to 25 per cent of total cement sales). Logistics mode mix of road (71 per cent), rail (27 per cent) and coastal (2 per cent). Bagged cement with 80 per cent and bulk cement with 20 per cent.
Covid-19 and Indian logistics industry
Asia Pacific is expected to have the largest logistics market size as the region has taken stringent and quite early measures to contain the Coronavirus outspread. China has started to recover from the COVID-19 pandemic faster than any other country.
The World Health Organization (WHO) has appreciated India’s control over the spread of the pandemic. This has allowed the logistics and supply chain companies to meet consumer demands during the pandemic situation. During the lockdown, only essential people and commodities are permitted by the authorities. The list of essential people and commodities must be continuously revised to minimise the adverse impact on people’s lives and the spread of the pandemic. Thus, the Asia-Pacific region is expected to show positive signs soon as the supply chain industry recovers gradually.
About 50 per cent of the 12.5 million heavy, medium, and small commercial vehicles have shut their engines because of coronavirus. There are no drivers, no loaders, and no unloaders to support the $200 billion logistics industry. Fifty per cent of India’s organised trucking fleet is now without drivers, who have gone home.
The entire supply chain is being impacted. From raw materials and packaging material supply to manpower at manufacturing plants (to load/unload/operate) to logistics, and transport to retail. the entire value chain in logistics right from transportation to warehousing would be adversely impacted, entities with asset-heavy business model will see a greater impact owing to high fixed costs.
There has been a significant drop in volumes at all facilities. As the volumes fall, it will take several months before they get back to normalcy – ports are highly capital-intensive in nature. The standing cost of assets is very high, running into millions of rupees.
As per research on behavioural science, it takes more than two months before a new behaviour becomes a habit or culture. We are in a lockdown of 68 days, it is a significant time period to impact consumer behaviour. We can also expect that post lockdown.
The Covid-19 pandemic is challenging businesses to think in unique and different ways. The disruptions caused by the virus outbreak have left deep impacts on consumer behaviour and preferences. Customers are now increasingly exercising caution on what, where, and how they buy.
The cumulative loss estimate is as high as Rs 50,000 crore with the highest loss coming from the aviation sector, followed by the Roadways, in terms of lost toll taxes, goods wasted on the road due to a sudden lockdown and halt numbers of fully loaded trucks.
Most supply chain professionals are still in the reactive phase of how to deal with this pandemic. That includes combating fear and uncertainty around shortages and gauging the overall impact the coronavirus will have on supply chain and logistics operations.
Logistics management in post coronavirus era
Role of logistics management: The major role of the logistics management function as given below:
- Demand planning and forecasting along with production function
- Sourcing and procurement of raw materials/goods and services required to run the manufacturing operation and its customers’ needs
- Managing the inflow and outflow of the inventory – be it the raw material required or making the product or pushing them to market along with sales and marketing functions
- Putting agreements in place to ensure safety for the organisations
- Managing supplier relationships by driving SLAs and KPIs in supplies
Impact of Covid-19 on logistics management function: When the factories/offices/markets are shut, the factories producing essentials are the only ones allowed to operate, the customer base of the organisation is working from home, the impact is on both sides – demand and supply. With reduced demand, the suppliers who were looking for new buyers for their products were impacted. On the other hand, buyers who were getting supplies from their supplier/vendor base got impacted because of no supplies from them.
Covid-19’s safety and compliance guidelines were put into place for the organisations as well as the individuals. From social distancing to be followed in the factories and workplace to ensure employees and workers are equipped with PPE kits, things have changed in recent times.
Scarcity of raw materials supplies, indirect material supplies and the higher lead time is another problem that happened to result in higher prices, limited availability and increased logistics cost to the companies.
The buyers and suppliers lost chance to meet each other face to face and negotiate on table. Almost everyone was working virtually and some of the buyers/suppliers who were not familiar with collaboration tools faced difficulties in executing negotiations effectively. In short, virtual meetings were done for decision making.
While a lot of changes have happened at organisation level in various functions in last few months, the Supply management function has changed too. The pressures being placed on supply chain professionals around the world by Covid-19 are leading to a reassessment of how supply chains function. They are also likely to accelerate the process of digital transformation as a means of overcoming weaknesses and vulnerabilities. There are several ways in which businesses can go about creating resilient supply chains in a post-Covid world.
There is an urgent need to reduce dependency on physical labour in areas such as transportation, logistics and warehousing. This can be achieved through the introduction of automation/technologies such as the Internet of Things (IoT) and artificial intelligence (AI) and machine learning.
The factories which can modularise production and adapt lines in line with demand changes will become the norm. They will be backed by supply networks capable of communicating intelligently with one another, thereby increasing their effectiveness and agility.
It is the time when instead of having dependency on one supplier or a couple of suppliers, organisation need to have a base of supplier who are ready to serve it when needed. To keep the relationship going, it is advised to keep procuring small quantities from time to time from additional suppliers.
Covid-19 has taught many things to almost everyone, so the sourcing and procurement function should remain ready for surprises going forward too. Plan for short term and long term is not enough. There is a need to start planning for near ? short term too, which can be in the next 24 hours. There is enough data points organisations sit on. The need is to utilise the data science tools to predict daily than monthly, quarterly or annual plans.
The supply chain technologies are emerging that dramatically improve visibility across the end-to-end supply chain, and support companies’ ability to resist such shocks. The traditional linear supply chain model is transforming into digital supply networks (DSNs), where functional silos are broken down and organisations become connected to their complete supply network to enable end-to-end visibility, collaboration, agility and optimisation.
Leveraging advanced technologies such as the IoT, AI, robotics, and 5G, DSNs are designed to anticipate and meet future challenges.
The key elements that will emerge in the logistics management of a post-Covid world include:
- Intelligent procurement to help organisations understand where and when to source using advanced machine learning algorithms based on factors such as past purchases and commodity pricing
- Data management with intelligent automation and analytics that will deliver end-to-end information management and provide supply chain partners with insights around diagnostics, market intelligence and risk management
- Supplier risk management to help organisations model cost structures and keep abreast of any supply disruptions and secure capacity
- Supply chain simulation involving modelling new strategies based on changes to business or operating models which helps to validate and identify the most cost-efficient supply chain design
Covid-19 warns that rare events may disrupt the logistics management. Greater agility, adoption to changing contexts and ability to redesign the supply chain in the situations of rare events will help organisations to prevent damages caused by pandemics in general particularly Covid-19.
In last one decade due to digitalisation era, IT has created the big changes in entire trucking industry and their productivity and efficiency. Driven by the IIoT (Industrial Internet of Things), the manufacturing sector is a major transformation. Automation has been gaining traction in the logistics industry as well with the continuous adoption of IoT.
Intelligent process flows: The supply chain responsive to rare events such as Covid-19 is not easy as the systems are not trained to absorb the shocks provided by such situation. One of the ways to make the supply chain responsive is to transform the supply chain processes to intelligent process flow. A company can transform all verticals into an intelligent process flow starting from demand planning and manufacturing execution to order orchestration and fulfillment. This will allow the processes, people, and technology to interact – bridging the current gap in a company’s ability to understand the changes in the environment.
Digital technology: Company needs to leverage the power of AI and other emerging technologies. Such dependencies on advanced technologies can help companies navigate through the supply chain vulnerabilities caused by Covid-19 and assist in business continuity amid disruption and uncertainty. Including automation, Blockchain, IoT, and edge computing in its supply chain design and management may help company turn unanticipated into the envisioned.
IT system-based order punching to order allotment: In this current digital India, the use of Computers / Smart Phones is very common for all of us. We have to develop a very strong IT system in that we can manage real time automated punching of our marketing orders through CRM Software to orders’ allotment to transporters, trucks’ confirmation, online lorry receipt generation, e-invoicing, e-way bill and e-PoD from Customers etc. It will help to marketing, logistics and transporters touch free work environment and social distancing for protecting from Covid-19.
GPS based trucking/logistics management: In view of the Covid-19, transporter has hesitancy to interact with multiple agencies (like gate security, logistics officers, WB operator, packing plant supervisor, truck loading workers, etc.). We have to develop strong RFID/GPS system based trucking management and monitoring system. The GPS will provide real-time visibility into the specific location and movement of vehicles.
GPS solutions provide real-time tracking of fleet and workforce from the first mile to long haul to the last mile. Logistics and Technology have become synonymous. It is strictly followed that driver should remain inside his truck and the activities such as security in-out, weighment of truck will do automatic with the help of RFID-based system and Automation of Weighbridge integration. This will help minimum interaction of drivers with security, logistics officers, weigh bridge operation and packing plant workers. In order to enhance driver’s experience, despatch related information can now be shared on his mobile with the help of the GPS System, so that he do not have to interact with logistics, transporters and packing plant operators.
Usually, drivers use to wait for long time to get the delivery instructions, Invoice papers and e-way bill, etc. at cement plant. But with the use of GPS system, automatic weighbridge, SAP integration process and IT -based logistics management applications, automation of packing plant operation and the print of DI, invoice, E-way bill can generate automatically and handed over to drivers while truck goes out and driver remain seated in his truck.
GPS system will help to monitoring real time truck transit time, halt during travelling, expected time of reaching at customer site, reaching at delivery point, delivery confirmation through e-PoD from customers etc touch free work environment and without human intervention.
Technological advancements now enable businesses to build end-to-end supply chain solutions that speed up processes and avoid bottlenecks in the supply chain. Business intelligence tools have helped to improve forecasting and identify areas of concern without any major time lag. The entire system is touch free work environment and social distancing for protecting from Covid-19.
Logistics central monitoring cell: Given the constantly evolving scenario, it is vital for consumer goods/commodity companies, retailers and brands to establish a cross-functional empowered Central Monitoring cell to take decisions fluidly. Given the current volatility in consumer behaviour and internal operating chain, it is critical to establish the guiding principles and core objectives for the monitoring cell while providing the decision-making authority to decide and implement initiatives on the go.
Conclusion
The supply chain is the backbone of any country’s economy as a majority of goods and services flow through the supply chain partners. Supply chains have become highly sophisticated and vital to the competitiveness of many companies. A decades-long focus on supply chain optimisation to minimise costs, reduce inventories, and drive up asset utilisation has removed buffers and flexibility to absorb delays and disruptions. The effect of Covid-19 on the supply chain that leads to issues in manufacturing, distribution, and retailing has exposed the dire need for proactive strategies. As companies move through the current crisis, firms will realise the value of intelligent process flows, self-correcting and smart supply chain, implications of AI and augmented techniques, and a forward-looking strategic approach.
Several technological advances have been made in recent times to ensure optimum utilisation of resources, tracking of consignments and seamless distribution of cargo such as Automatic Identification and Data Capture (AIDC) Technology, Quick response (QR) code, real-time locating systems and RFID. Adoption of Warehouse Management System (WMS) and other IT-driven solutions are becoming effective in increasing the competitiveness of the warehousing industry.
The entire digitalisation system will help overall productivity, efficiency, proper and efficient fleet utilisation resulting huge cost saving in logistics management in cement industry. The future successful company will be the one that has a dynamically optimised supply chain network with preparation and readiness to address the next disruption whether the next wave of Covid-19 or a new threat to business practices.
Footnote: The article is authored by Dr Girish Mehta.
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Concrete
Redefining Efficiency with Digitalisation
Published
3 days agoon
February 20, 2026By
admin
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.
Concrete
Digital Pathways for Sustainable Manufacturing
Published
3 days agoon
February 20, 2026By
admin
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.

Concrete
Turning Downtime into Actionable Intelligence
Published
4 days agoon
February 19, 2026By
admin
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
- 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.
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.
Refractory demands in our kiln have changed
Digital supply chain visibility is critical
Redefining Efficiency with Digitalisation
Cement Additives for Improved Grinding Efficiency
Digital Pathways for Sustainable Manufacturing
Refractory demands in our kiln have changed
Digital supply chain visibility is critical
Redefining Efficiency with Digitalisation
Cement Additives for Improved Grinding Efficiency
Digital Pathways for Sustainable Manufacturing
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