B-ENBIS: Six Sigma, What Do Statisticians Need to Know About It

B-ENBIS: Six Sigma, what do statisticians need to know about it?

Summary of the evaluation and information forms:

1. How do you rate the overall level of this meeting: poor: 0 rather poor: 0 fair: 8 good: 26 excellent: 2

2. Did it meet your expectations? no: 1 average: 15 yes: 21

if no or average, why?  example was not worked out in a convincing way  staid rather general (from the benefits points of view, from the toolbox point of view)  verwachtte iets nieuws, dit is al lang de dagdagelijkse praktijk zonder het met zoveel woorden te zeggen)  expected more statistical details  too general  second part was not clear for me  I expected more of the case study  only a few new or unknown subjects were treated, I believe most of the participants have a stronger basic knowledge about 6sigma and you can better build further on existing knowledge  not technical enough  good opportunity for networking  more on statistics  want to exchange more personal experiences with other persons/companies  I expected to hear about some new statistical method

3. How do you rate the organization of the meeting? organization (overall impression): bad:2 fair: 4 good:29 if bad or fair, why?  could have done with 1 speaker  no welcoming  no break, no drinks documentation bad: 0 fair: 4 good: 30 if bad or fair, why?  can be more, some sheets very bad readable  doc, books, where more info? publicity: bad: 1 fair: 10 good: 22  K.U. webpage publication date not present  I only got to know it via e mail from b-enbis, which I forwarded to some colleagues 4. Other topics you would like to discuss during future meetings:

 the good statistical tools  case studies: successes and failures  bepalen van de delay time tussen procesparameters i. indien de relatie linear of constant is ii. indien de relatie niet-lineair of niet-constant is  service organization(?)  true use of SPC  the typical 6sigma tools, SPC, DOE, poka-yoke etc; case studies; software demos  measurement system with products that vary during time  lifetime  6sigma approach in developments projects of new products; are there examples?

 DOE, non-normal data (analysis, stability, Cpk, …), MSA  use statistics to measure and analyze services (invoicing, quotes, delivery…) in a manufacturing environment  I liked the presentation of Mr. Decru’s project. More presentations on successful BB- projects (service, logistics, development)  detailed workshop on 6sigma in combination with lean manufacturing  analysis of variance, particular cases (e.g. missing data, mixed models)  statistics in scientific publications  focus on statistical problems in 6sigma  transactional focus in 6sigma  practical, how do we implement  focus on statistical tools  SPC for manufacturing in batches, relatively low manufacturing frequency per product. If possible?

5. Would you like to become a member of B-enbis and consequently of enbis (free of charge)? yes: 26 no: 2

6. Would you like to become an active member of the organizing committee? yes: 2 (Paul and Antoine) no: 25

7. Would you like to sponsor future meetings? yes: 3 Jan Smit – Smit Consult no:25 contact Jo Delvaux, Avery Dennison; Jos Weeghmans, Sentinel

8. Other remarks/suggestions:  useful discussion  I prefer more pragmatic presentations; what were the hurdles that have to be taken and solutions for that  drank voor de sprekers  very good … from Mr. Langhans  too oriented to business ($) not enough statistics oriented