Shahrul Kamaruddin

Hybrid Integration of Taguchi Parametric Design, Grey Relational Analysis, and Principal Component Analysis Optimization for Plastic Gear Production

The identification of optimal processing parameters is an important practice in the plastic injection moulding industry because of the significant effect of such parameters on plastic part quality and cost. However, the optimization design of injection moulding process parameters can be difficult because more than one quality characteristic is used in the evaluation. This study systematically develops a hybrid optimization method for multiple quality characteristics by integrating the Taguchi parameter design, grey relational analysis, and principal component analysis. A plastic gear is used to demonstrate the efficiency and validity of the proposed hybrid optimization method in controlling all influential injection moulding processing parameters during plastic gear manufacturing. To minimize the shrinkage behaviour in tooth thickness, addendum circle, and dedendum circle of moulded gear, the optimal combination of different process parameters is determined. The case study demonstrates that the proposed optimization method can produce plastic-moulded gear with minimum shrinkage behaviour of 1.8%, 1.53%, and 2.42% in tooth thickness, addendum circle, and dedendum circle, respectively; these values are less than the values in the main experiment. Therefore, shrinkage-related defects that lead to severe failure in plastic gears can be effectively minimized while satisfying the demand of the global plastic gear industry.

MBSA in Early Development FOK Issues

Problem solving is a fundamental element with essential skill in semiconductor industries. Without a proper problem solving analysis, the solution would be ineffective, and sometimes leads to painful consequences. This paper will describe the significance of model based solver application (MBSA) approach in early development of, first of kind (FOK) equipment and problem solving on chronic issues. Keywords—problem solving, MBSA, problem definition, semiconductor, first of kind, FMEA.

Lean production in manual assembly line — A case study

This paper is describing a methodology of improvement project that is carried out in a company that supplies electronic communication plastic parts. By using the lean tools, the focus of the paper is to improve the manual assembly line by adopting lean tool for the process improvement. The process improvement are divided into several phases, from defining the goal until the test run of the solution, with different lean concept being used at different phase. The improvement had been done phase by phase in order to ensure the impact of the improvement. Through the test run, the proposed solution based on concept of Lean production increase profitability based on idling time reduction (81.64%) and operator saving(40%) in operation.