High Volume Manufacturing (HVM) Digitization for Engineer

Course Overview

Training and Learning (T&L) program for Foundation of HVM for an Engineer are necessary part of preparing new and current employees for the technical and cultural aspects of working in a high-volume manufacturing (HVM) operation or plant.  

Every company has its own unique ways of performing tasks and handling day-to-day operations, and T&L can turn into a long, drawn-out process while everything is explained. Utilize this program to help your HVM operation employees maintain their focus, producing high quality products, world-class high productivity level and positive mind-set. 

Who Should Attend?

  • Unemployed graduates who have obtained SPM/Diploma / Degree 
  • School leavers aged between 18 to 40 years with school/exam certificate 
  • Retrenched workers aged between 18 to 55 years who are registered with Employment Insurance System (EIS) 


Come with open-minded and ready to embrace change  

Course Outlines

Day 1  

Lean supply chain management is about promoting efficiency by removing unwanted or wasted components from a process. This process is most often applied to manufacturing, where supplies can be ordered as they’re needed rather than holding a lot of inventory as back stock. 

  • Learning Objective and key takeaways  
  • Mission, Vision, Goals – Ice breaking session  

Day 2 to Day 3 

SPC or statistical process control is a statistically-based family of tools used to monitor, control, and improve processes. Statistical Process Control (SPC) training can be time consuming and frustrating because of the complex nature of the statistics underlying SPC control charts.  

Basic SPC is a comprehensive online SPC training course for engineers, operators, and technicians that makes understanding and applying statistical process control (SPC) concepts easy. 

Day 4 to Day 5 

Design of experiments (DOE) is a systematic, efficient method that enables scientists and engineers to study the relationship between multiple input variables (aka factors) and key output variables (aka responses). It is a structured approach for collecting data and making discoveries. 

Use DOE when more than one input factor is suspected of influencing an output. DOE can also be used to confirm suspected input/output relationships and to develop a predictive equation suitable for performing what-if analysis. 

Day 6 to Day 7 

Eight disciplines problem solving(8Ds) is a method developed at Ford Motor Company used to approach and to resolve problems, typically employed by quality engineers or other professionals. Focused on product and process improvement, its purpose is to identify, correct, and eliminate recurring problems. 

Day 8 to Day 9  

Tableau is a Business Intelligence tool for visually analyzing the data by makeing Big Data small, and small data insightful and actionable. The main use of tableau software is to help people see and understand their data. 

Users can create and distribute an interactive and shareable dashboard, which depict the trends, variations, and density of the data in the form of graphs and charts. 

Day 10 

Power Pivot is a data modeling technology that lets you create data models, establish relationships, and create calculations.  

With Power Pivot you can work with large data sets, build extensive relationships, and create complex (or simple) calculations, all in a high-performance environment, and all within the familiar experience of Excel. 

Course Detail

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