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FOUNDATION OF HIGH-VOLUME MANUFACTURING (HVM) FOR AN ENGINEER

Programme Overview

Training and Learning (T&L) program for The Basic 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.

Areas of topics covered are as followings:

  • Orientation and Introduction
  • Duties of a Security Officer
  • Discipline
  • Communication Procedures
  • Appearance and Grooming
  • Proper Usages of Equipment
  • Company Policies, Systems and Procedures
  • Report Writingsecurityguard-malaysia6
  • Emergencies Response

Who Should Attend?

Unemployed graduates who have obtained SPM/Diploma / Degree

Course Prerequisites

  • None
  • Come with open-minded and ready to embrace change

Course Content

  • Learning Objective and key takeaways
  • Mission, Vision, Goals – Ice breaking session
  • Lean – The history
  • Lean – Ground Rule (Make it simple!)
  • What is Lean?
  • Why Lean for HVM operation?
  • What is Supply Chain?
  • What is Waste?
  • Muda, Muri, Mura
  • 8 Types of Waste
  • Wasted Human Talent
    o Defects
    o Inventory
    o Overproduction
    o Waiting time
    o Motion
    o Transportation time
    o Over processing
  • Lean house framework
    o JIT
    o Jidoka
    o Stability
  • Just in Time (JIT)
  • Tact Time
  • Cycle Time
  • Lead Time
  • Capacity
    o Machine/Workstation capacity
    o Production line/Cell capacity
    o Bottleneck
    o Throughput rate
    o Utilization rate
  • Planning
    o Manpower planning
    o Machines planning
    o Build plan
    o Ship plan
    o Material planning
    o Yield and Unyielded planning
  • Inventory management
    o Inventory costing
    o Inventory count
    o Inventory type
  • 80:20 Rule (Analysis)
  • Kanban concepts
    o Pull system
    o Basic types
    o Andon system operations
  • Standardize work
  • Value Stream Mapping (VSM)
  • Order to Cash
  • Kaizen
  • Workshop #1
  • Learning point # 1
  • Discussion # 2
  • What is SPC?
  • What are Process Variations?
  • What is SPC Control Chart?
    o Control chart variables
    o Control chart pattern
  • Why SPC is important in HVM?
  • How the SPC process flow works?
  • Who is the Person in Charge (PIC)?
  • Case study # 1
  • Case study # 2
  • Workshop # 2
  • Learning point # 2
  • Discussion # 3
  • What is DOE?
  • Why use DOE for HVM operation?
  • DOE design principles
    o Factorial concepts
    o Randomization
    o Blocking
    o Replication
  • Experimental Design Stages
    o Plan
    o Design
    o Conduct
    o Analyse
    o Confirm
  • Case study # 1
  • Case study # 2
  • Case study # 3
  • SPC VS DOE
  • Workshop # 3
  • Learning point # 3
  • Discussion # 4
  • What is 8D Problem solving tools?
  • Benefits of 8D Problem Solving tools
  • Importance of 8D Problem
  • Soling tools in HVM operation
  • Overview of the 8D steps
  • 8D steps explanation with examples
  • Case study # 1
  • Case study # 2
  • Workshop # 4
  • Learning point # 4
  • Discussion # 5
  • What is Tableau?
  • Why Tableau?
  • Tableau workspace and various options
  • Tableau Repository
  • Tableau Dashboard
  • Navigating in Tableau
  • 3 Main Stages
    o Import data
    o Analyse data and create dashboard
    o Share the results
  • Tableau files and files type
  • Demo
    o Connecting with flat files
    o Connecting with DB
    o Connecting with server
    o Conditional importing
    o Connecting two data sources
    o Editing a connection
  • Data roles
  • Data types
  • Case study # 1
  • Case study # 2
  • Workshop # 5
  • Learning point # 5
  • Discussion # 6
  • Consume and Transform Data by Using Microsoft Excel
    o Import from data sources
    o Perform data transformations
    o Cleanse data
  • Model Data
    o Create and optimize data models
    o Create performance KPIs
    o Create hierarchies
  • Visualize Data
    o Create and manage PivotTables
    o Create and manage PivotCharts
    o Interact with Power BI
  • Learning point # 6

Have Any Question?

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