Programme on 'AI-powered Design of Experiments (DOE) using Data Analytics and Minitab'

Programme on 'AI-powered Design of Experiments (DOE) using Data Analytics and Minitab'

Context Setting

This Basic & Advanced Design of Experiments (DOE) program focuses on developing practical skills for planning and analysing experiments to improve product quality and process performance. Participants will gain hands-on exposure to modern DOE techniques widely used in research, manufacturing, and industrial problem-solving.

Objective

The objective of the programme is to enable participants to systematically design, execute, analyze, and interpret experiments to improve process performance. The program focuses on replacing trial-and-error approaches with a structured, data-driven experimentation methodology that helps identify critical input variables, understand interaction effects, optimize responses, and achieve robust and sustainable process improvements.

Key Takeaways

At the end of this program, participants will be able to:

<!--[if !supportLists]-->1.    <!--[endif]-->Understand the business relevance of DOE and when to use it over traditional one-factor-at-a-time methods

<!--[if !supportLists]-->2.    <!--[endif]-->Design effective experiments using full factorial and fractional factorial designs

<!--[if !supportLists]-->3.    <!--[endif]-->Identify critical factors and interactions impacting process performance

<!--[if !supportLists]-->4.    <!--[endif]-->Analyse experimental data using Minitab and correctly interpret outputs

<!--[if !supportLists]-->5.    <!--[endif]-->Apply screening designs to reduce the number of experimental trials

<!--[if !supportLists]-->6.    <!--[endif]-->Use Response Surface Methodology (RSM) for process optimization

<!--[if !supportLists]-->7.    <!--[endif]-->Improve process capability and reduce variability through data-based decisions

<!--[if !supportLists]-->8.    <!--[endif]-->Translate DOE results into actionable process controls and implementation plans

<!--[if !supportLists]-->9.    <!--[endif]-->Avoid common pitfalls in experimentation, including confounding and misinterpretation


Confidently apply DOE in live projects related to quality, productivity, cost, and yield improvement

Participation Fees

Participation fees (on non-residential basis)

Scale

Per Participant fee

GST @ 18%

Total

CII Small Scale Members

10,500.00

1,890.00

12,390.00

CII Medium Scale Members

11,000.00

19,80.00

12,980.00

CII Large Scale Members

11,500.00

2,070.00

13,570.00

Non-Members

12,000.00

2,160.00

14,160.00

DISCOUNT: 10% on 3 or more nominations from an organization

Who Should Attend / Target Audience

<!--[if !supportLists]-->·         <!--[endif]-->Quality, Process, and Operations Professionals

<!--[if !supportLists]-->·         <!--[endif]-->Lean Six Sigma Green Belts / Black Belts

<!--[if !supportLists]-->·         <!--[endif]-->Manufacturing, Pharma, FMCG, Automotive, and Service Industry Professionals

<!--[if !supportLists]-->·         <!--[endif]-->Engineers and Managers involved in process optimization

Venue

CII Naoroji Godrej Centre of Excellence, Godrej Station-side

Colony, Opp. Railway Station, Pirojshanagar, Vikhroli (East), Mumbai 400079.

Coordinator