Design of Experiments (DOE)

Industries carry out experiments aimed at improving quality of products and processes, including shorter development cycles, more robust process, variability reduction, higher Cpks, cost reduction, and others. But these experiments must be accomplished with certainty of results and cost pinned down to minimum.

This seminar on Design of Experiments (DOE) imparts the theory and approach for conducting designed experiments which are both economical and conclusive. DOE systematically applies statistics to the experimental process that allows evaluation of multiple variables and interactions among them with respect to the responses (quality characteristics). The strength of DOE is that it is capable of eliminating experimental “noises” and minimizing the number of runs to find the right answer making it cost effective.

Objectives: At the end of the seminar, the participant would have acquired the following:

  1. Knowledge and techniques for resolving chronic issues and quality problems in development and manufacture of products
  2. Systematic methods of evaluating the impact of changes in the input variables on the target outcomes
  3. Cost effective approach for finding solutions to complicated development and production problems.

Agenda:

  • SPC review
  • Rule of Experimental Design in Process Improvement
  • Approaches to Finding Answers
  • Multi-Vari Charts
  • Paired Comparison
  • Component Search
  • Variables Search
  • Full Factorials
  • B vs. C Test

Who should attend: Researchers, Devt. Engineers, Process Engineers, Quality Managers and Engineers, Production Managers, Supervisors and Engineers

Seminar Fee: P15,904 / 284USD (Inclusive of VAT) (inclusive of digital pdf copy of the course manuals/workshop & certificate)

Note: Reservations are confirmed only when the seminar fees have been paid.

Number of days: 4

Facilitator: Joel L. Bonagua

Seminar Dates:

Apr 18-21’23 | Jun 5-8’23 | Aug 1-4’23 | Jan 9-12’24

(8:30 AM – 12:00 NN daily -Ph,Tw,Sg Time)

“Note: This seminar is also offered in-house or in-plant. Should you be interested contact us at 0977-3731180 | 0927-9233557 | 0969-1020586 or email us at kaizen.system@yahoo.com; jsv@kaizenmgtsys.com”.

Download DOE