Unlocking Economical Benefits Through Process Data Analytics in Chemical Fertilizer Industry
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- 09/11/2023 - 3:00 pm - 3:45 pm IST
In today’s highly competitive chemical fertilizer landscape, companies are under constant pressure to optimize their operations, reduce costs, and maximize profitability. One powerful tool that can help them achieve this goal is process data analytics. By harnessing the vast amounts of data generated during fertilizer production processes, companies can uncover valuable insights, make informed decisions, and drive efficiency improvements to yield substantial economic benefits. Join us for an insightful webinar where industry experts and data analysts will explore the potential of process data analytics in fertilizer production. We will focus on the how no-code, low-code features of Seeq can help organizations to optimize their operations and boost profitability. Engineers can learn how advanced analytical techniques can be easily implemented with few clicks in near real-time.
Key topics to be covered include:
- Introduction to Process Data Analytics: Gain a fundamental understanding of how process data analytics can be applied within the fertilizer industry. Explore the unique data challenges and opportunities specific to fertilizer industry
- Analytical Techniques for Efficiency Improvement: Discover practical analytical techniques and tools tailored for fertilizer manufacturing. Examples may include data-driven optimization of nutrient formulation, granulation processes, and blending operations to enhance overall production efficiency.
- Predictive Maintenance: Learn how predictive maintenance, driven by process data analytics, can revolutionize maintenance practices in fertilizer plants. Explore case studies that illustrate how real-time data analysis can minimize downtime, improve equipment reliability, and ultimately lead to significant cost savings for evaporators, heat exchangers and other valuable assets in fertilizer industry
- Resource Management and Operational Cost Reduction: Find out how process data analytics can assist in the efficient management of key resources in fertilizer production, such as raw materials, energy, and water. Delve into examples of data-driven decision-making that results in reduced operational costs.
- Case Studies: Delve into real-world case studies showcasing successful implementations of process data analytics in fertilizer production companies and the resulting economic benefits.
Seeq, a purpose-built platform for the manufacturing industry, being a no-code, low-code platform has proven its potential in most of its implementation in the West, where the plant engineers/operators have adopted the tool for their daily tasks, enabling them to improve the energy efficiency across the value chain. The no-code platform has the potential to empower the shop-floor team to do the analysis and develop the data models to derive insights and foresight to ensure the operations are running efficiently.
Who should attend:
CIOs, CEOs, CTOs, Operations/Process Head, Data Analysts/Scientists, Visualization Engg., Data Engineer, Digital Leaders, Operations Head, Plant Head, Maintenance Head