Overview

Conducting planned, controlled experiments on industrial processes can save substantial money, time and resources, by optimising the total number of trials that needs to be conducted to obtain data and thereby draw valid, actionable conclusions. 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 typical ‘one-factor-at-a-time’ experimentation, which involves more trials and cannot take account of interactions between process variables.

In this 2-day workshop, 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 workshop is delivered by trainers with experience in applying statistical methods to industrial processes such as food and biochemical processing. The workshop will also 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

  • Factorial design methodology for multiple factors
  • The nature of interactions
  • Types of variation present in processes
  • Randomisation
  • Replication
  • Blocking
  • Ethical considerations

Topic 6: Designing experiments

  • Catapult application as a process simulation

Topic 7: Analysing data

  • Using MS Excel to analyse experimental data
  • Graphing and displaying key effects and interactions
  • Modelling the process

Topic 8: More advanced concepts

  • 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 involve 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

SIT Alumni: Before registering for courses, please activate your SITizens Learning Credits via the email sent by SIT Alumni Team, on behalf of SITLEARN Professional Development.

CLICK HERE TO APPLY (only for SIT Alumni)
 

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 Registration and Recap
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: More advanced concepts
5:00pm Quiz/ Q&A
5:30pm End of Day

Fees

Category Full Fee After SF Funding After SF Mid-Career
Enhanced Subsidy
Singapore Citizen (Below 40) / Singapore PR $1,712.00 $513.60 Not Eligible
Singapore Citizen (40 & above) $1,712.00 $513.60 $193.60
Non-Singaporeans $1,712.00 Not Eligible Not Eligible

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

»  Learn more about funding types available

Terms & Conditions:

SkillsFuture Funding


In order to be eligible for the 70% training grant awarded by SkillsFuture, applicants (and/or their sponsoring organisations where applicable) must:
  1.  Be a Singaporean Citizen or Singapore Permanent Resident
  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.

Key Info

Venue SIT@Dover, 10 Dover Drive S138683
Time 08:30 AM to 05:30 PM
Date 23 Jul 2020 (Thu) to
24 Jul 2020 (Fri)
Registration is Closed.

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