Purpose: of this paper is to cover the main domains of industrial engineering based on
the statistical and non-statistical techniques related to quality engineering. In this research,
in addition to the review of the main domains of industrial engineering and the required
specifications of technique, have been tried to present an integrated model of application
of these techniques in order to create or increase the total score of productivity and
sustainability in related scale with Analytic Hierarchy Process (AHP) approach.
Design/methodology/approach: of this paper has been divided in two categories.
The method of theoretical research consists of data collection tools, reference books,
and several articles of the Iranian Center for Defences Standard. The method of practical
research is the assessment of selected statistical and non-statistical techniques related to
quality engineering, which have been deployed in the main domains of industrial engineering
related to the manufacturing factories that are belonged to the selected industries of the
Defence Industries Organization (DIO).
Findings: of this paper consist of four main results. The maximum impact of standard
statistical techniques in order to cover the main domains of industrial engineering and the
required specifications of technique is related to the Statistical Process Control (SPC).
Furthermore, the maximum impact of non-statistical techniques in order to cover them,
is related to the Quality Function Deployment (QFD). The other results, which can be
assessed with details, have shown that the maximum importance of the main domains of
industrial engineering is related to the planning and manufacturing control and the maximum
importance of the required specifications of technique is related to the mathematical analysis
too. The total score of productivity and sustainability in related scale has been achieved to
the upper than moderate level. In this research, the identification and determination of
important factors, which have influenced on the productivity and sustainability have been
done for the first time. The percentage of impact of the quality engineering techniques for
both productivity and sustainability in the industrial engineering field is approximate to 70%.
Research limitations/implications: of this paper suggest that the application of quality
engineering tools including statistical and non-statistical techniques can be generalized to
the other engineering or management fields with the same Analytic Hierarchy Process (AHP)
or Analytic Network Process (ANP) approach in phase environments.
Originality/value: of this paper have been extracted from the managers and experts
involved with qualitative issues in the different levels of the Defence Industries Organization
(DIO) and the Maham Group. This values are assessed from two aspects. Firstly, the validity
of this research was carried out using expert’s opinions (Industrial advisers, Lead auditors
of the Iranian center for Defences Standard and university professors). Secondly, all values
of the research reliability are acceptable.
