Presently, the cement sector is on the brink of a digital revolution, driven by escalating demand, fierce competition, and increasingly rigorous regulations. The strain on the industry’s assets, processes, and workforce to perform at their peak is unprecedented. In this context, employing Predictive Diagnostics as a Service for your cement facility can aid in preventing machinery breakdowns and the consequent unexpected downtime, thereby enhancing the quality of the produced cement and the Overall Equipment Effectiveness (OEE) of the plants. This service not only enhances machine uptime and efficiency but also reduces expenditure on repairs and spare parts. Most crucially, it equips you with resilience and adaptability during uncertain times through remote monitoring and timely proactive maintenance when it’s most needed.

Infinite Uptime is a global Predictive Maintenance Services and Plant Reliability solutions company. We help the maintenance and manufacturing teams to attain the highest level of plant reliability by reducing unplanned downtime, mitigating operational risks, and improving overall efficiency.

We leverage industry 4.0 technologies and a digital-first approach to create responsive maintenance strategies for diverse global manufacturing industries including Cement, Steel, Metals & Mining, FMCG, Chemicals, Oil & Gas, Power, Pharma, Tire, Automotive, Construction, Pipes and more.

Our advanced analytics and real-time industrial diagnostics help plant maintenance leaders and condition-based monitoring teams to accurately predict and avoid machine failure every single time.

The operation and upkeep of assets in a cement facility pose significant challenges due to the following reasons:

• The average machine age in a cement plant is at least 30-40 years.

• Finding the right expertise to maintain them consistently is challenging.

• Remote locations of cement plants make reactive action expensive & delayed.

• Every machine – big or small – has the power to bring the whole process to a complete standstill.