Industry 4.0: Start Small, Win Big Toolkit [Using Measure, Analyse, Action (MAA)]

Digitisation and technologies enable problems to be solved in a timely fashion.  Ultimately, digitisation is understanding your true problem and knowing what steps to take to reach a solution.  Hence, the programme will reveal to you the key steps of problem solving using the MAA approach.

 

Objectives

  • To identify the right problems to solve and have a baseline to build a digital strategy

  • To integrate Industry 4.0 transformation initiatives to support your business

  • To understand what you can achieve with Industry 4.0, how to get started, and how to maximise business revenue

 

Key Benefits

  • Gain the skills to connect the dots and identify the root cause of a problem

  • Ability to define the best approach to adopt on the next phases of your project

  • Utilising less human oversight while maintaining the integrity of your business

 

Target Audience

Middle Management Team Members (Department/Section/Integration), Technical Executives and Non-Technical Executives

 

Programme Outline

Module 1:  Introduction and Overview

  • Industrial Revolution and Evolution

  • Key Reason for Industry 4.0 Transformation

  • Defining Pain Points

  • What Start Small, Win Big Means

  • Six Steps Towards Industry 4.0

  • Complex Problem Solving

 

Module 2:  Introduction to MAA

  • MAA Steps

  • MAA vs Other Toolkits: The Main Differences

  • Key Components of MAA

  • Zero Defect Mindset

  • MAA Format – Non-Digital and Digital

 

Module 3:  MAA Step 1

  • Current Pain Points Top Pareto

  • Problems with Highest Impact and Highest Re-Occurrence

  • Choosing Problems with Known Potential Root Cause but Difficult to Eliminate

 

Module 4:  MAA Step 2

  • Begin with the End in Mind

  • Set End Goal (Quality, Cost, Maintenance, Safety and Productivity)

 

Module 5:  MAA Step 3

  • Establish Relationship of Cause and Effect (Problem vs Root Cause)

  • Define the Perfect Condition for Process, Product, Design, Reliability and Functions

  • Physical Analysis of the Perfect Condition

  • Failure Mode Condition for Non-Perfect Condition

 

Module 6:  MAA Step 4

  • Current Connectivity Status – Define Connect and Not Connected Status

  • Not Connected to Connected – Choose Sensor and Actuators

  • Define Data Collection Intervals and Sample Size

  • Define Data Storage Requirement

 

Module 7:  MAA Step 5

  • Real-Time Data Collection, Monitoring and Triggering

  • What is Dashboard?

  • What Should Be on the Dashboard?

 

Module 8:  MAA Step 6

  • Data Quality

  • Data Correlation Studies

  • Data Modeling

 

Module 9:  MAA Step 7

  • Set Trigger Limits

  • What is Machine Self-Learning

  • What is Machine-to-Machine (M2M) Interoperability?

  • What is Machine-to-Human (M2H) Interoperability?

 

Module 10:  MAA Step 8

  • Predictive Analytics with Real-Time Close Loop System

  • Variable and Independent Variable Relationships

  • Set the Condition of the Predictive Analytics

 

Module 11:  MAA Step 9

  • Autonomous System Control

 

Module 12:  MAA Step 10

  • Achievement Sharing, Rewards and Proliferation

Case Closed and Closure