Improving Reliability of High-Consequence Systems using Data Sharing&Integration

Speaker: Dr. Ernest Edifor, Senior Lecturer at Manchester Metropolitan University
https://www2.mmu.ac.uk/business-school/about-us/our-staff/otehm/profile/index.php?id=2623

Topic:
Improving the Reliability of High-Consequence Systems using Data Sharing and Integration

Schedule:
6:00pm - 6:30pm - ODSC&WeWork Intro, Pizza & Refreshments
6:30pm - 7:20pm - Talk
7:20pm - 7:30pm - Q&A
7:30pm - 8:00pm - Networking

Bio:
Dr. Ernest Edem Edifor is a senior lecturer at the Manchester Metropolitan University. In 2014, he completed a Ph.D. on the probabilistic analysis of dynamic safety-critical systems using temporal fault trees. He has been involved in the development of various bespoke websites and databases
for running clinical trials across Europe. He has taught extensively on the subject of data management in Masters education. His current research interests are in reliability engineering, augmented reality risk assessment, supply chain risk assessment and Internet of Things risk analysis. He is the author of “7 Keys to Academic Success” (ISBN: 1482861348), which is a study guide to pupils, and the director of a Ghana-based charity for supporting underprivileged schools and pupils.

Abstract:
All businesses, institutions and organizations require their systems to run reliably. Although the failures of some systems are not life-threatening (e.g. parking ticket system of a museum), the failures of other systems (e.g. appointment scheduling system of a hospital) can be catastrophic. High-consequence systems are systems that can have huge reputational damage, high financial loss and/or catastrophic consequences on human life and/or the environment if they should fail.
Measuring and improving the reliability of such systems is of the utmost importance to designers, analysts, stakeholders and users of these systems. However, measuring and improving reliability requires some form of failure, repair or maintenance data, which is not always available, especially for new systems.

In this talk, the speaker will propose a technological framework for tackling these challenges in high-consequence environments. The proposed framework will include the use of data sharing and integration approaches for gathering system operating environment data that are necessary for reliability analysis. Only the technical requirements of systems will be discussed; non-technical requirements, such as political, social, environmental, etc., which are critical to businesses and their systems, are outside the scope of this talk. The proposed framework will be applied to a hypothetical business case study and the findings will be discussed.

This meetup is supported by WeWork.
WeWork is the platform for creators. We provide the space, community and services you need to create your life’s work. To learn more send an email to joinuslondon@wework.com or call 0203 695 4926.

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