Predictive Maintenance using the Internet of Things
Effective asset management aims to maximize asset performance and minimize operations & maintenance costs. To achieve these goals, maintenance professionals must stay on top of the latest strategies, methodologies, and technologies. One trend in the maintenance industry which cannot be ignored is predictive maintenance using the Internet of Things (IoT) or the Smart Factory concept (Industry 4.0).
Asset-intensive organizations are adopting predictive maintenance to reduce costs and the frequency of maintenance activities. The IoT platforms provide good support for predictive maintenance as they can integrate information from different machines and manufacturing systems to predict failures.
As stated by McKinsey Global Institute – By moving to the IoT platform, organizations will realize significant improvements, including a 25% reduction in maintenance costs and a 50% decrease in unplanned downtime.
This two-day workshop provides a practical methodology to implement the IoT framework using intelligent connectivity of smart devices through the internet network. The workshop is relevant for mid-career professionals and senior managers from varied disciplines, including Maintenance, Operations, Engineering, Supply Chain, IT, Business and Finance. This covers organizations that manage large-scale physical assets such as auto, transportation, pharmaceuticals, shipping, mining, oil refineries, chemical processing plants, public utilities and infrastructures.
The workshop’s objectives are to provide participants with a framework to successfully implement IoT and smart machine concepts to analyze and visualize machine data to make timely decisions. Some specific objectives are to:
- Familiarize the participants with the latest maintenance technologies, especially related to industrial challenges, digital transformation, computerized maintenance management systems (CMMS), and current analyses to perform maintenance optimization.
- Boost operational performance and lowering costs in factories, facilities and supply chains.
- Make companies focus more on outcomes, long-term strategy and optimizing business processes.
- Enhance decision-making capabilities by visualizing machine health data through IoT connectivity and the ability to make timely decisions to avoid catastrophic failures.
- Create new opportunities for companies to enhance services, gain business insights, and make themselves more competitive and futuristic.
By attending this workshop, participants will not only acquire knowledge from industry experts and academicians in the field of IoT and maintenance management but also learn from actual projects performed with measurable results. The participants will get practical hands-on information on essential topics including, but not limited to:
- Connectivity – Learn about sensors and gain knowledge of hardware and software design.
- Acquisition – Acquiring machine data and sending notifications to maintenance staff on machine health to take timely action.
- Data Analysis – Use cloud services to monitor machine operation in real-time.
- Data Visualisation – Use of Graphical User Interface (GUI) to determine data trends to help technicians in decision making.
- Drive Tangible Benefits – The participants will learn skills to achieve the following tangible benefits for their companies:
- Reduce Maintenance Costs by 15%
- Improve Machine Uptime by 10%
- Increase Asset Utilization by 15%
- Decrease Inventory Cost by 25%
- Reduce Safety, Health, Environment and Quality Risks by 15%
Return on Investment (ROI)
Institute Business Management (IoBM) is committed to delivering high-quality, results-oriented and benefit-driven training programs for our clients. By investing in our training programs, our clients have increased profits by lowering expenses. Direct benefits have been realized in the form of reduced turnover, higher employee productivity, increased production and decreased downtime.
Mehboob Karim. P.Eng.
Mr. Karim is a Subject Matter Advisor for Digital Asset Performance Management (DAPM). He has over thirty years of experience in asset and operations management, of which the last eight years have been in Digital Asset Performance Management (DAPM). Part of his responsibilities under DAPM is to provide strategic leadership and support to organizations in digital asset performance initiatives. He has worked with private and public sector industries in Canada, USA, and Australia.
As a Senior Advisor, Mr. Karim also provides direction on reliability improvement projects using asset management solutions with tools such as Asset Criticality and Risk Assessments, Spare Parts Criticality, Stocking Strategies, Maintenance Management Practice Assessments, Supply Chain and Operations Management, Business Case Studies, Reliability Centered Maintenance, Enterprise Asset Management (EAM) and Asset Performance Management (APM) Systems.
Mehboob Karim is a Registered Professional Engineer in the Province of Ontario and a senior member of the Pakistan Engineering Council. He holds certifications in Supply Chain and Operations Management (CISCOM), APM and Meridium Solutions (GE Digital). Mr. Karim is a recipient of the Sergio Guy Award 2005, presented by PEMAC to outstanding engineering and maintenance practitioners of Canada.
*PEMAC – Plant Engineering and Maintenance Association of Canada (www.pemac.org)
Dr. Seema Ansari
Dr. Seema Ansari earned her Ph.D. in Telecommunication Engineering at the University of Malaga, Spain, in September 2018. Her Ph.D. research work was funded by the University of Malaga in 2015. She did her MS in CS Telecommunications from UMKC, USA and a B.E. from NED University of Engineering & Technology. Currently, she is the Advisor to the Rector at the Institute of Business Management (IoBM). Prior to that, she was Associate Dean of the College of Engineering & Sciences at IoBM.
Dr. Seema Ansari brings to academia 39 years of successful academic and top management career with local and foreign universities, including Staffordshire University in the United Kingdom, Asia Pacific Institute of Information Technology (APIIT)-MALAYSIA and top engineering universities of Pakistan, like NEDUET in the field of engineering, information technology and sciences. She was the Director of APIIT, Karachi Campus.
Her research work includes 70+ publications in JCR Impact Factor Journals, International and National HEC Recognized Journals, Book Chapters and Conference Proceedings. Her recent research includes the role of the Internet of Things in the fields of Healthcare, Industry 4.0, 5G And 6G Technologies, Smart Cities, and the Successful Design of a Smart Helmet for Bike Riders’ Safety with a team of EE Students at IoBM. The Project has been approved for Commercialization by IoBM.