Impacts of computerized maintenance management system and relevant supportive organizational factors on total productive maintenance. Issue 7 (1st October 2018)

• Record Type: Journal Article
• Authors: Balouei Jamkhaneh, Hadi; Khazaei Pool, Javad; Khaksar, Seyed Mohammad Sadegh; Arabzad, S. Mohammad; Verij Kazemi, Reza
• Is Part Of: Benchmarking. Volume 25:Issue 7(2018)
• Page Start: 2230
• Page End: 2247
• Publication Date: 2018-10-01
• Subjects: Computerized maintenance management system (CMMS) -- Relevant supportive organizational factors -- Total productive maintenance (TPM); Benchmarking (Management) -- Periodicals; Total quality management -- Periodicals; 658.562
• DOI: 10.1108/BIJ-05-2016-0072
• Languages: English
• ISSNs: 1463-5771

Abstract

Abstract : Purpose: The application of automated systems is rapidly increasing in different industries and organizations. In this regard, computerized maintenance management systems (CMMS) using information technology play an important role in the automating production systems. The purpose of this paper is to investigate the impacts of CMMSs and relevant supportive organizational factors on the effectiveness of total productive maintenance. Design/methodology/approach: This study is classified as a quantitative survey-based research using structural equation modeling. The scope of the study includes manufacturing companies in Iran. A total of 125 questionnaires from 60 companies were collected from January to March 2014 to help validate the conceptual model and test the hypotheses. Findings: The results support the concept CMMSs positively relates to relevant supportive organizational factors (resource allocation, decision-making structure, senior management support, employees' involvement and effective instruction) on the effectiveness of total productive maintenance. The relevant supportive organizational factors can also be seen as the predictors of CMMSs. Originality/value: This study integrates the CMMSs and relevant supportive organizational factors in a robust model to examine the effectiveness of total productive maintenance. This study also examines the impacts of CMMSs and relevant supportive organizational factors on total productive maintenance which seems to not be done previously.