Hon Loong Lam
Assistant Professor, Faculty of Engineering
Contact
Biography
Dr. Lam Hon Loong, is an Assistant Professor with the University of Nottingham, Malaysia Campus. He has obtained a double PhD in Chemical Engineering (University of Maribor, Slovenia) and Information Technology (University of Pannonia, Hungary). His research topics are process quality control and supply chain synthesis. He has completed his Bachelor's Degree and Master's Degree in Chemical Engineering, both from University Technology Malaysia with a specialisation in process system engineering. Dr Lam is also active in several international scientific committees; for example, he is the guest editor for the International Journal of ENERGY, Journal of Cleaner Production, Clean Technologies & Environmental Policy and Chemical Engineering Transaction. He is also the scientific secretary for the international conference, PRES.
Teaching Summary
At this moment, I am involve in 3 major modules teaching:
(1) Process Safety Engieering
The rapid process industrial development in Malaysia and the consequent impact on Safety and Health at places of work has created an urgent need for greater awareness of Occupational Safety and Health both by management and workers. This awareness is needed to emphasize and put into effect the concept of Self-Regulation as stipulated in the recently introduced Occupational Safety and Health Act 1994 (OSHA '94). To improve Safety and Health Practices at work Management and Workers need to understand and know the basic concepts of Safety & Health at Work and jointly formulate practical and effective customized OSH Programs for their individual work places. The most of the organizations recognize Occupational Safety and Health practices are an integral part of good business and an important component of their business activities be - they production, provision of services or quality control. In this course, participants will have the opportunity to keep abreast on the latest development, amendments and guidelines on Occupational Safety and Health regulations and management practices. The participants will also get an insight into the value added experiences of the industry experts. The speaker will provide the necessary inputs in managing Safety and a Healthy Work Environment as a personal individual responsibility.
(2) Statistical Process Control and Quality Improvement
Statistics are tools used to make predictions on performance. There are a number of simple methods for analysing data and, if applied correctly, can lead to predictions with a high degree of accuracy. Statistical Process Control, SPC is a branch of applied statistics for quality control. It is statistical analysis of the predictability and capacity of a process to give a uniform product. SPC is a popular industry tool for the collection, analysis and interpretation of data for use in quality control activities. This module covers the basic concepts of statistical analysis and their application to practical problems in process control. This module aims to build fundamental knowledge and skills required in statistical process control and quality improvement. Participants will learn basic concepts of applied statistics in process and quality control as well as the hands-on knowledge of the application of statistical process control in the process industry.
(3) Process Integration & Optimisation
Energy efficiency can play a key role in a company's drive to reduce its production cost and cut down on its waste treatment bills. How can a company achieve worthwhile reductions in energy consumption as well as effluent emissions? Good housekeeping, frequent preventive maintenance, and improvement of the utility systems are standard measures that must be implemented by all energy consuming processes. However, such measures could not provide a company with a clear competitive edge since the energy savings involved can often be marginal. This course introduces Pinch Analysis, which is a systematic procedure for the design and retrofit (improvement) of process systems for optimum energy usage and minimum waste generation.
Research Summary
Process Optimisation, Supply Chain, Biomass Utilisation, Multivariate Statistial Process Control
Selected Publications