In recent years, there is a trend in manufacturing industries to produce smaller lot sizes, a.k.a., low volume production due to increased importance given to just-in-time (JIT) techniques, synchronous manufacturing and the reduction of in-process inventory and costs. This manufacturing environment is known as short runs production or simply, short runs. Due to the availability of limited data for a particular process in short runs, it is difficult to establish a reliable historical data set in estimating process parameters for setting valid control limits. Other problems encountered in short runs include the need to start charting at or near the beginning of a process and that many different control charts are needed because there exist many different types of measurements. Short runs control charts are proposed to solve the problems faced by conventional control charts in a short runs environment. In this seminar, multivariate short runs control charts (MSRCCs) for process mean based on individual measurements and subgrouped data will be discussed together with an enhancement for the MSRCC for the mean based on individual measurements. The MSRCC for process dispersion based on individual measurements will also be discussed.

Dr. Khoo obtained his B.App.Sc. and his Ph.D. degrees from University Science of Malaysia (USM). He has been working in USM since 2001 and is currently a Senior Lecturer. He has handled several research and industrial projects, supervised 1 Ph.D. thesis and numerous M.Sc. theses. He has published over 30 papers in International Journals and serves as a member of the editorial boards of Quality Engineering, Quality Management Journal and Journal of Modern Applied Statistical Methods.