Interpretive Structural Modeling of flexible manufacturing indicators in Saipa Group

Document Type : Research Paper

Authors

1 Assistant Prof. of Public Administration Department, Faculty of Economics and Management, Urmia University

2 Ph.D. in Public Administration, Faculty of Economics and Administrative Sciences, Lorestan University

10.22104/jtdm.2024.6239.3164

Abstract

the purpose of the current study was interpretive structural modeling of flexible manufacturing indicators in Saipa Group. This research is applied in terms of purpose and terms of research typology. It is among mixed research with a qualitative and quantitative approach in the deductive-inductive paradigm. Identifying flexible manufacturing indicators in Saipa Group was conducted through semi-structured interviews based on theoretical saturation with 26 university professors and experts in industrial management, business management and industrial engineering. The validity and reliability of the interviews were confirmed by the method of relative content validity and Cohen's kappa index, respectively. In the quantitative part, the opinions of 74 senior and middle managers of Saipa Group subsidiary companies were used with the available convenience sampling method to model flexible manufacturing in the automobile industry. The validity and reliability of the questionnaire were confirmed using content validity and the test-post-test method. Coding of interviews using MAXQDA2020 software led to identifying 13 main indicators of flexible manufacturing. Modeling of the identified indicators with interpretive structural method and mix-and-match analysis led to the formation of eight levels, the intelligentization of lines was the most effective and automation was the most effective index of flexible manufacturing in Saipa Group.

Keywords

Main Subjects

Files

History

  • Receive Date: 16 April 2023
  • Revise Date: 27 July 2024
  • Accept Date: 26 August 2024

Share

How to cite

Statistics