Application of 5 Whys + Fishbone Diagram (15 Feb 2020)

Application of 5 Whys + Fishbone Diagram

Introduction

5 Whys and Fishbone Diagram are effective tools that can be used to locate the roots causes of a problem.

5 Whys is a problem solving tool that helps to get to the root of a problem. The basic idea is to ask “Why?” whenever a problem is encountered. Typically, the initial response will not trace back to the root of the problem it will only be a symptomatic representation of the overall issue.

Fishbone Diagram goes by several names (Ishikawa, Cause & Effect, etc.) and there are a variety of ways to use. It is primarily a tool for organizing information to establish and clarify the relationships between an effect and its main causes. Fishbone Diagram is able to identify the root cause(s) of the problem so that collective actions can be taken to eliminate their recurrence, develop a picture composed of words and lines designed to show the relationship between the effect and its causes.

What is the target?

  • To understand the use of 5 Whys and Fishbone Diagram in Analyze Phase of a Six Sigma Project

Who should attend?

  • First and second level team leaders and managers
  • Quality and process improvement professionals
  • Those who are interested to become Lean Six Sigma professionals

Teaching Methodology

Interactive workshop and lecture

Certification

Certificate of Successful Completion will be awarded to students who have achieved attendance criteria.

Fee

  • Registered Professionals: HK$750
  • Six Sigma Community Buddies /Members of SSI Partners: HK$800
  • Others: HK$850

Language: Cantonese (supplemented with English)

Venue: Unit 1627, 16/F, Star House, No. 3 Salisbury Road, Tsim Sha Tsui, Kowloon

Date:

Time Slot 1: 15 Feb 2019 (Sat) Course Code: AWFD-20FEB15A
Time Slot 1: 17 Oct 2019 (Sat) Course Code: AWFD-20OCT17A

CPD Credit: 4 credits

Time: 9:30am to 1:00pm (3.5 hours per day)

Experience Capitalization and Expert System (18 & 21 Feb 2020)

Experience Capitalization and Expert System

Introduction:

As a branch of KM, experience capitalization is a complex process to transform experience and learning for future use. This workshop will equip with participants tools to capture experience and knowledge from him/herself and from others, especially from experts. The captured experience and knowledge will enable participants avoid repeating the same mistakes or succeeding in a faster speed. As part of the knowledge engineering, an expert system will be used for knowledge sharing.

Objectives:

The workshop enables the participants understanding and practicing the experience capitalization and capture of knowledge from experts for building the Expert System.

Target Audience:

  • Interest in KM
  • Middle Managers
  • Newly promoted supervisor/officers
  • Anyone who would like to equip themselves with up-and-coming techniques, knowledge and increase their “power” meeting the coming challenges in workplace.

Continue reading Experience Capitalization and Expert System (18 & 21 Feb 2020)

Conflict Management (20 Feb 2020)

Conflict Management

conflict_management

Introduction

This course will give participants tools to improve their communication skills and learn how to solve conflict in work place.

Course Outline

  1. The basics of communication
  2. How conflicts arise and perpetuate
  3. Technics for conflict resolution

Continue reading Conflict Management (20 Feb 2020)

Knowledge Discovery – Data Mining and Big Data (25 & 29 Feb 2020)

Knowledge Discovery – Data Mining and Big Data

Introduction

This workshop provides participants with concepts of Big Data, importance of Big Data and its applications in business world. Participants will learn how to discover new knowledge by using Data-Mining, the core technique in Big Data. For this Unit, algorithm in Data Mining will not be discussed hence, all practical exercises will use MS Excel. No advanced arithmetic and knowledge in Excel are required.

Who should attend?

Anyone interested in knowing the Data Analysis (simple data-mining) in Knowledge Discovery and learn how companies using them to their competitive advantages.

Continue reading Knowledge Discovery – Data Mining and Big Data (25 & 29 Feb 2020)

Application of Hypothesis Testing

Application of Hypothesis Testing

Introduction

This course offers an extension to the “Analysis” module on Lean Six Sigma methodology. Hypothesis testing is considered one of the important modules in decision analytics for managerial considerations based on the observations.

What is the target?

There are various data types and malicious manipulations and interpretations could be dangerous to strategic decisions on the Analysis stage during a Six Sigma Project, especially large-scaled projects. The course helps professionals and executives to have a correct decision making strategies based on correct usage of hypothesis testing types.

Who should attend?

Specialists from Business Process Excellence, Market Research & Big Data, Quality Engineering, Process Engineering, Industrial Engineering, Pharmaceutical, Construction, Legal evidence, etc.

Teaching Methodology

  1. Background theory
  2. examples
  3. case-study scenarios

Certification

Certificate of Successful Completion will be awarded to students who have achieved attendance criteria.

Course Outline

  1. Basic statistics & statistical terms
    • Statistics recap
    • Statistical Terms
  2. Hypothesis Testing
    • Theory, workflow & Applications
    • Classifications
    • The Frequently-used Hypothesis Testings
      • Theory
      • Mathematical calculations & Examples
      • Minitab Simulation examples
  3. Industry specific Scenario Analysis
  4. In-class practices
  5. Useful References & Links

Fee

  • Registered Professionals: HK$1,400
  • Six Sigma Community Buddies /Members of SSI Partners: HK$1,500
  • Others: HK$1,650

Language: Mainly English with some Cantonese

Venue: Unit 1627, 16/F, Star House, No. 3 Salisbury Road, Tsim Sha Tsui, Kowloon

Date:
Time Slot 1: 15 May 2020 (Fri) Course Code: AHT-20MAY15F
Time Slot 2: 11 Sep 2020 (Fri) Course Code: AHT-20SEP11F

CPD Credit: 7 credits

Time: 1 Days, 9:30am to 5:30pm (7 hours per day)