SITizens Learning Credits

Overview

Conducting planned, controlled experiments on industrial processes can save substantial money, time and resources. It is important to optimise the total number of trials conducted to ensure sufficient data is obtained and valid, actionable conclusions can be drawn. Such experiments are central to process quality improvement initiatives such as the Kaizen and Six Sigma methodologies. They are widely used in manufacturing, service and healthcare improvement projects and initiatives. This approach is far more efficient than the typical ‘one-factor-at-a-time’ experimentation, which involves more trials and does not consider the interactions between process variables.

In this course, participants will learn the basics of statistical thinking and inference that are necessary to analyse experimental data. They will then learn how to design and analyse such experiments to produce actionable conclusions and improve processes. The course is delivered by trainers with experience in applying statistical methods to industrial processes such as food and biochemical processing. The course will include practical cases and instruction, using catapults to demonstrate the basics of process experimentation while generating ‘live’ data.

Teaching Team

What You’ll Learn

Day 1: Basics of statistical thinking and inference

Topic 1: Understanding the basics of statistics as applied to industrial processes

  • Basic descriptive statistics
  • Tools for data visualization and presentation

Topic 2: Confidence interval

Topic 3: Hypothesis testing, ANOVA

  • Using MS Excel to analyse data
  • T-test, paired t-test
  • Single effect/ Random effects model

Topic 4: Sampling

  • Acceptance sampling plan
  • Minimum sample size sampling plan

Day 2: Experimental Design

Topic 5: Basics of factorial designs and good experimentation practice

  • Understanding processes
  • The nature of interactions
  • Types of variation present in processes

    • Topic 6: Designing experiments

    • Factorial designs
    • Randomisation
    • Replication
    • Blocking
    • Ethical considerations

    Topic 7: Analysing data

    • Using Minitab to analyse experimental data
    • Graphing and displaying key effects and interactions
    • Developing a causal / explanatory model of the process

    Topic 8: Process improvement and optimisation

    • Dealing with non-linear response variables
    • Adding centrepoint ‘runs’
    • Adding ‘axial’ runs
    • Mixture designs for food products

Who Should Attend

  • Production process managers, quality managers and technicians, operators, engineering and other personnel who are involved in the on-going analysis and improvement of industrial processes.
  • For food and biotechnology sectors but will be valuable to any manufacturing organisation
 

SITizens Learning Credits (SLC) - Eligible Course

This course is SITizens Learning Credits (SLC) eligible. Please refer to the user guide on how to register for courses utilising your SLC.

Find out more about SITizens Learning Credits (SLC).
 

Certificate and Assessment

A Certificate of Participation will be issued to participants who:

  • Attend 75% of the course
  • Undertake non-credit bearing assessment (during the course)

Schedule

Day 1: Basics of statistical thinking and inference

Time Topic
8:30am Welcome and Registration
9:00am Topic 1: Understanding the basics of statistics as applied to industrial processes.
10:30am Tea Break
11:00am Topic 2: Confidence interval
12:30pm Lunch
1:30pm Topic 3: Hypothesis testing, ANOVA
3:00pm Tea Break
3:30pm Topic 4: Sampling
5:00pm Quiz/ Q&A
5:30pm End of Day

Day 2: Experimental Design

Time Topic
8:30am Registration and Recap
9:00am Topic 5: Basics of factorial designs and good experimentation practice.
10:30am Tea Break
11:00am Topic 6: Designing experiments
12:30pm Lunch
1:30pm Topic 7: Analysing data
3:00pm Tea Break
3:30pm Topic 8: Process improvement and optimisation
5:00pm Quiz/ Q&A
5:30pm End of Day

Fees

Category Full Fee After SF Funding
Singapore Citizen (Below 40) / Singapore PR / LTVP+ Holder $1,712.00 $513.60
Singapore Citizen (40 & above) $1,712.00 $193.60
Non-Singaporeans $1,712.00 Not Eligible

Note:
  • All figures include GST. GST applies to individuals and Singapore-registered companies.
  • You can opt for either SkillsFuture Funding or Mid-Career Enhanced Subsidy. Both cannot be combined.

» Learn more about funding types available

Terms & Conditions:

SkillsFuture Course Funding

To be eligible for the 70% training grant awarded, applicants (and/or their sponsoring organisations where applicable) must:
  1.  Be a Singaporean Citizen or Singapore Permanent Resident or LTVP+ Holder
  2.  Not receive any other funding from government sources in respect of the actual grant disbursed for the programme

SkillsFuture Mid-Career Enhanced Subsidy

To be eligible for the 90% enhanced subsidy awarded, applicants (and/or their sponsoring organisations where applicable) must:
  1.  Be a Singaporean Citizen
  2.  Be at least 40 years old
  3.  Not receive any other funding from government sources in respect of the actual grant disbursed for the programme

SIT reserves the right to collect the balance of the programme fees (i.e. the potential grant amount) directly from the applicants (and/or their sponsoring organisations where applicable) should the above requirements not be fulfilled.

SIT reserves the right to make changes to published course information, including dates, times, venues, fees and instructors without prior notice.
SITizens Learning Credits

Key Info

Venue SIT@Dover, 10 Dover Drive S138683
Time 09:00 AM to 06:00 PM
Date 01 Dec 2022 (Thu) to
02 Dec 2022 (Fri)
Registration is Closed.

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