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Ramzi Fayad

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Ramzi Fayad

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Industrial Engineering and Engineering Management

r.fayad@bau.edu.lb

07 985080 Ex: 3454

Debbieh

Ramzi Fayad

Assistant Professor

Ramzi Fayad was born on the 28th of April 1978, from Koura lebanon, is an Assistant Professor in the Department of Industrial Engineering and Engineering Management at the Beirut Arab University, Beirut, Lebanon.

He earned BS.c and MSc in Computer Engineering from Balamand University, Lebanon and PhD in Manufacturing Engineering and Operations Management from the University of Nottingham, United Kingdom.

He has worked as Quality Engineer for Rolls Royce company 2000 to 2006 and he designed a fully automated monitoring system to detect non conformance in manufacturing processes.

He has published journal and conference papers related to Machine Condition Monitoring, Vibration Monitoring, Oil Analysis. And Operations Research.

Teaching

  • 222 – Operations Research
  • 333 – Facility Planning and Design
  • 322 – Organizational Design
  • 332 – Industrial measurements and Inspection
  • 431 – System Modeling and Simulations
  • 432 – Failure Analysis
  • 433 – Maintenance Planning and Techniques
  • 531 – Production System and Automation
  • 502 – Final Year Graduation Project

Research

Research field

Machine condition monitoring, Vibration analysis, Oil Analysis, lean manufacturing, and operations research.

Publications

  • R. Fayad and Guoping Liu. Online Automated Condition Monitoring and Fault Detection of Machine Tools. 7th Automation and Computer Science Conference (Nottingham 2001)
  • R. Fayad and Clovis Francis. Cutting Tool Wear Monitoring applying Support Vector Machines and Genetic Algorithms. International Conference in Advances in Computational Tools for Engineering Applications. ACTEA ’09 (NDU July 2009)
  • R. Fayad. Cutting Tool Monitoring System for Down Milling process using AI Methods. International Conference on Advanced Computer Theory and Engineering (Egypt Sept 2009)
  • R. Fayad. Cutting Tool Monitoring System for down Milling process using AI Methods. Conference on Computer and Automation Engineering (Singapore 2010)
  • R. Fayad and H. Abou-Chakra. Genetic Algorithm Enhanced Neural Network Applied to Tool ‎Condition Monitoring in Drilling Process, The CM 2013 and MFPT 2013, Krakow, Poland ‎‎(2013).‎
  • R. Fayad and H. Abou-Chakra. On-Line Quality Control Filtration System Used in Hydraulic ‎Oil Lubrication Process.European Scientific Journal, volume 10, No: 21. July (2014).‎
  • H. Abou-Chakra and R. Fayad. Lean Production for a Freezing Potatoes Factory. The 5th International Conference on Industrial Engineering and Operations Management (IEOM), Dubai, UAE (2015).

Supervised Master Thesis

Optimization of Annual Maintenance Schedule in Cement Industry, 2016

Currently supervising master thesis for student Hadi Abou Fakher under the title: “Lean Management Impact on Lebanon Government Public Sector Performance”