Webinar on demand
WaterLab: Improve Asset Reliability with Predictive Maintenance
hosted by TrendMiner
Duration: 45 minutes (30 minutes presentation + 15 minutes Q&A)
Click in player to easily navigate through the video
Video Chapters Overview
01:14 Introduction
This webinar will explore the integration of advanced analytics in process manufacturing to enhance sustainability and efficiency with a special focus on the critical importance of water management.
04:07 Sustainability - Common Industry Challenges
Find out the complexities of sustainability in the process manufacturing sector. The chapter discusses a range of complexities — from succeeding in meeting requirements as world-scale global pandemics to the multi-variant nature of energy supply issues.
07:09 Driving Sustainability with Data
Learn how advanced analytics and the effective use of production data can drive significant improvements in resource and energy efficiency, contributing to more sustainable industrial practices.
09:38 Water is Crucial
Sustainable manufacturing process with its main input of water. The chapter details the entire water cycle, pointing out specific needs and issues emanating from water and wastewater management in different industries.
13:41 Tackling Sustainability Goals: Industrial Pump
This chapter focuses on the vital role of industrial pumps in sustainable manufacturing. Examine the energy consumption and operational efficiency aspects of pump systems, and discover strategies to enhance sustainability through improved pump performance.
20:04 Demo: Predictive Maintenance of a Pump
This live demonstration shows how advanced analytics by TrendMiner is used in predicting failures, therefore minimizing downtime and optimally, the schedule of maintenance to guarantee sustainable operations.
30:55 From Challenges to Benefits: Use Case Summary
This chapter provides a transition from identifying sustainability challenges to realizing tangible benefits through data-driven strategies. It summarizes key use cases where TrendMiner’s analytics platform helped to enhance operational efficiency, reducing resource consumption, and achieving sustainability targets across various industries.
33:21 Q&A
Conclude with an interactive Q&A session, providing an opportunity to address specific inquiries, share insights, and discuss the broader implications of data-driven sustainability practices in process manufacturing.
In this webinar you may find out the role water plays in process manufacturing and how predictive maintenance may be a game-changer for asset reliability. Charlotte Fischer and Louis Nitzschke are going to discuss the innovative data-driven solutions to real-world challenges that are redefining efficiency and sustainability in industrial processes. This discussion offers insights into the future of environmentally conscious industrial practices, providing conclusions and practical approaches for implementation.
About the Speakers
Charlotte Fischer is a Customer Success Manager at TrendMiner where she helps companies and software users become successful with their self-service analytics programs. She previously was a project engineer at Blücher GmbH, where she specialized in water treatment with activated carbon. Charlotte earned a master’s degree in Biochemical Engineering at TU Dortmund and an MBA with a focus on Process, Quality, and Digital Change Management at FOM Cologne.
Louis Nitzschke is a Data Analytics Engineer at TrendMiner and part of the Customer Success team in the DACH region. He utilizes his degree in chemical and bioprocess engineering to support users along their analytics journey. He wants to help customers to use data for a more sustainable future and has focused specifically on water and wastewater treatment use cases.
