Survey research studies large and small populations by selecting and
Surveys are not new. They have been around since the eighteenth century (Campbell and Katona 1953, Chap. 1). However, surveys in the scientific sense are a twentieth-century development. To be sure, surveys are
In the quality profession, on the other hand, even though we use survey instruments, the process of
In using a survey, it must be
Surveys can be
Interviews. Although they are very expensive, they do provide for individualized responses to questions as well as the opportunity to learn the reasons for doing, or even believing, something.
Panel technique. A sample of respondents is selected and interviewed, and then reinterviewed and studied at later times. This technique is used primarily when one wants to study changes in behavior and/or attitudes over time.
Telephone survey. At least from a quality application, they have little to offer other than speed and low cost.
Mail questionnaire.
These are quite popular in the quality field. They are used to self-evaluate your own quality system, culture of the organization and so on. Their drawback, unless used in conjunction with other techniques, is the lack of response, inappropriate questions (e.g., leading,
It is beyond the scope of this book to address the details of survey methodology (for details see Kerlinger 1973, and his references). However, the most fundamental steps are:
Specify and clarify the problem. To do this, the experimenter should not just expect to simply ask direct questions and be done. It is imperative that the experimenter should also have specific questions to ask, aimed at various facets of the problem. In other words, plan the survey.
Determine the sample plan. Remember, the sample must be representative of the population in order to be effective. For a good source of how to do this see Kish (1965).
Determine the schedule and, if appropriate and
Determine the data collection method.
The experimenter's concern is how the information is going to be gathered. What method is to be used and to what extent should appropriate precaution be designed into the survey to help eliminate
Conduct analysis.
In this step of the survey, there are two issues that concern the experimenter: coding—the
Report the results.
At this step, the results of the survey are
In this section, our intent is to give the reader a useful overview of the audit, rather than an exhaustive discussion. The reader is strongly encouraged to read Mills (1989); Arter (1994); Keeney (1995, 1995a); Russell (1995); Stamatis (1996a); and Parsowith (1995) for more detailed information.
Where the survey is a methodology to find and project the results of a sample to a population, an audit is a methodology that uses samples to verify the existence of whatever is defined as a characteristic of importance. That characteristic may be defined in terms of quality, finance and so on.
An audit from a quality perspective based on ISO 8402 and ISO 9000:2000 is a systematic and independent examination to determine whether quality activities and related results
The norms are defined by the management of the organization about to be
Any quality audit may be internal or external and take one of three forms:
First party audit. This audit is conducted by an organization on itself and may be carried out on the entire organization or just a part. It is usually called an internal audit.
Second party audit. This audit is conducted by one organization on another. It is usually an audit on a supplier by a customer, and it is considered an external audit.
Third party audit. This audit is conducted by an independent organization (the third party) on another organization. It can only be performed at the request, or the initiative, of the organization seeking an impartial evaluation of the effectiveness of their own programs. This audit is mandatory for those organizations that seek ISO 9001, ISO 14000, ISO/TS 16949 and/or a QS-9000 certification. It is always an external audit.
The requirements to start any audit, fall into three categories. They are:
Starting. Before starting the physical audit, an auditor must gain some knowledge about the organization and the audit environment.
Documenting.
Because documentation relies on the auditor to write the information down, he or she has the responsibility to be prepared, fair, impartial,
Evaluating.
An auditor's ultimate responsibility is to evaluate the quality system of a given organization based on the organization's appropriate standards and documentation (e.g., its quality manual, procedures and instructions). (If it is a registration or a surveillance audit, then the responsibility is to evaluate the compliance of the quality system to the standards and the documentation. If it is an internal audit, the responsibility is to find the gaps and
On the other hand, the actual audit process follows a sequential
Prepare (pre-audit) . This phase includes selecting the team, planning the audit and gathering pertinent information.
Perform (on-site visit) . This phase begins with the opening meeting and finishes with the actual audit.
Report (post-audit). This phase includes the exit meeting and the audit report.
Close. This phase includes the actions resulting from the report and the documentation information.
Process auditing is an audit that looks at the inputs, energy transformation, output and their interfaces. It is much more
Figure 6.4:
A typical process audit
Just as in the DMAIC model, there are many individual tools that may be used to
|
Tool/method |
Define |
Characterize |
Optimize |
Verify |
|---|---|---|---|---|
|
Automated data acquisition |
X |
X |
||
|
Automation controls |
X |
|||
|
Calibration certifications |
X |
|||
|
Certification |
X |
|||
|
Customer documents |
X |
|||
|
Customer surveys |
X |
|||
|
Defect data |
X |
X |
||
|
Design simplification |
X |
|||
|
Discrete data |
X |
|||
|
Engineering changes |
X |
X |
||
|
Engineering specifications |
X |
X |
||
|
Expert judgment |
X |
X |
X |
X |
|
Graphing package |
X |
X |
X |
X |
|
Inspection history files |
X |
|||
|
Industry standards |
X |
X |
X |
|
|
Inspection and test procedure |
X |
|||
|
Literature reviews |
X |
X |
X |
|
|
Operator certification |
X |
|||
|
Operator training |
X |
|||
|
Poka-yoke methods |
X |
|||
|
Process
|
X |
|||
|
Process simplification |
X |
|||
|
Qualitative interpretation |
X |
X |
X |
X |
|
Quality function deployment |
X |
X |
||
|
Quality program documents |
X |
|||
|
Test certification |
X |
|||
|
Vendor feedback surveys |
X |
X |
X |
|
|
Worst case analysis |
X |
X |
X |
|
|
2 level:
|
X |
X |
||
|
2 level: full factorial designs |
X |
X |
||
|
3 level: fractional factorial designs |
X |
X |
||
|
3 level: full factorial design |
X |
X |
||
|
Advanced control
|
X |
|||
|
Analysis of covariance |
X |
|||
|
Analysis of variance |
X |
X |
||
|
Auto-correlation |
X |
X |
||
|
Chi square methods |
X |
X |
||
|
Correlation studies |
X |
X |
X |
|
|
Cross tabulation methods |
X |
X |
||
|
Cube plots |
X |
X |
||
|
Defect probability |
X |
X |
||
|
Distribution goodness-of-fit |
X |
X |
X |
|
|
EVOP designs |
X |
|||
|
F tests |
X |
X |
||
|
Finite element analysis |
X |
X |
||
|
Fractional factorials with outer arrays |
X |
X |
||
|
Full factorials with outer arrays |
X |
X |
||
|
GR&R (gauge
|
X |
X |
X |
|
|
GR&R statistical DOE |
X |
|||
|
Interaction plots |
X |
X |
X |
|
|
Mathematical models |
X |
X |
||
|
Mixture designs |
X |
|||
|
Monte Carlo simulation |
X |
|||
|
Multi-level full factorial designs |
X |
X |
||
|
Non-parametric tests |
X |
X |
||
|
OR programming methods |
X |
X |
||
|
Physical models |
X |
|||
|
Random sampling |
X |
X |
X |
|
|
Random strategy designs |
X |
X |
X |
|
|
Realistic
|
X |
X |
X |
|
|
Regression |
X |
X |
X |
|
|
Response surface designs |
X |
X |
||
|
Taguchi designs |
X |
X |
||
|
Time series analysis |
X |