IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1497-d736129.html
   My bibliography  Save this article

The Relationships between the Pillars of TPM and TQM and Manufacturing Performance Using Structural Equation Modeling

Author

Listed:
  • Abbas Al-Refaie

    (Department of Industrial Engineering, University of Jordan, Amman 11942, Jordan)

  • Natalija Lepkova

    (Department of Construction Management and Real Estate, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio av. 11, 10223 Vilnius, Lithuania)

  • Mehmet Emre Camlibel

    (Department of Construction Management and Real Estate, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio av. 11, 10223 Vilnius, Lithuania
    Department of Civil Engineering, Bogazici University, Bebek, Istanbul 34342, Turkey)

Abstract

This paper examines the direct and indirect relationships between the pillars of total quality management (TQM) and total productive maintenance (TPM) and investigates their effects on manufacturing performance (MPR) using structural equation modeling. Three structural models were developed with their corresponding hypotheses. Data were then collected from thirty industrial firms in Jordan. A descriptive statistical analysis was followed by an analysis of variance (ANOVA). The structural models were analyzed to draw conclusions about the model hypotheses and identify the most influential TPM and TQM pillars on MPR. Significant variations were noticed among firms in the implementation levels of the TPM, TQM, and MPR pillars. Further, it was found that TPM directly and indirectly influences MPR. Furthermore, TPM pillars have a larger impact on MPR than TQM. Research hypotheses are suggested to be tested individually on small-, middle-, and large-sized firms. This research provides valuable information on top management in the industrial sector, on the significant relationships between the pillars of TPM, TQM, and MPR and supports them in identifying important TQM/TPM pillars which they should focus on in order to enhance MPR.

Suggested Citation

  • Abbas Al-Refaie & Natalija Lepkova & Mehmet Emre Camlibel, 2022. "The Relationships between the Pillars of TPM and TQM and Manufacturing Performance Using Structural Equation Modeling," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1497-:d:736129
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1497/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1497/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Iqbal, Tahir & Huq, Faizul & Bhutta, M. Khurrum S., 2018. "Agile manufacturing relationship building with TQM, JIT, and firm performance: An exploratory study in apparel export industry of Pakistan," International Journal of Production Economics, Elsevier, vol. 203(C), pages 24-37.
    2. Singh, Vedant & Kumar, Akshay & Singh, Tej, 2018. "Impact of TQM on organisational performance: The case of Indian manufacturing and service industry," Operations Research Perspectives, Elsevier, vol. 5(C), pages 199-217.
    3. Alsyouf, Imad, 2007. "The role of maintenance in improving companies' productivity and profitability," International Journal of Production Economics, Elsevier, vol. 105(1), pages 70-78, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anouar Hallioui & Brahim Herrou & Polinpapilinho F. Katina & Ricardo S. Santos & Ona Egbue & Małgorzata Jasiulewicz-Kaczmarek & Jose Miguel Soares & Pedro Carmona Marques, 2023. "A Review of Sustainable Total Productive Maintenance (STPM)," Sustainability, MDPI, vol. 15(16), pages 1-30, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Omorodion Omoregbe & Eniola Yemi Taiwo, 2017. "Production Facilities Maintenance Practices and Sustainable Competitive Advantage in the Paint Manufacturing Industry, Benin City, Nigeria," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 17(1), pages 209-222.
    2. Johannes Freiesleben & Nicolas Gu'erin, 2015. "Homogenization and Clustering as a Non-Statistical Methodology to Assess Multi-Parametrical Chain Problems," Papers 1505.03874, arXiv.org, revised Dec 2017.
    3. Liang, Decui & Fu, Yuanyuan & Ishizaka, Alessio, 2023. "A consensual group ELECTRE-SORT approach considering the incomparable classes with the application of machine maintenance strategy assignment," Omega, Elsevier, vol. 118(C).
    4. Manal Mustafa Dehisat & Zainudin Awang, 2020. "Exploring Items and Developing Instrument for Measuring Organizational Performance among Small Medium Enterprises in Jordan," International Review of Management and Marketing, Econjournals, vol. 10(6), pages 51-57.
    5. Wiesław Fiebig & Willy Prastiyo, 2022. "Utilization of Mechanical Resonance for the Enhancement of Slider-Crank Mechanism Dynamics in Gas Compression Processes," Energies, MDPI, vol. 15(20), pages 1-27, October.
    6. Zhou, Kai-Li & Cheng, De-Jun & Zhang, Han-Bing & Hu, Zhong-tai & Zhang, Chun-Yan, 2023. "Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cost," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    7. Dedi Purbowo & Sunaryo & Nur Prima Waluyowati, 2022. "The effect of leadership on operational performance:The mediating role of quality improvement," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(1), pages 108-116, January.
    8. Hung, Yick-Hin & Li, Leon Y.O. & Cheng, T.C.E., 2022. "Uncovering hidden capacity in overall equipment effectiveness management," International Journal of Production Economics, Elsevier, vol. 248(C).
    9. Janak Priyantha, 2021. "Literature Review: The Role of Organizational Factors in Maintenance Organizations Affecting Their Manufacturing Performance, From Sri Lankan Cultural Perspective," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(4), pages 353-366, April.
    10. Li-Lun & Liu & Mu-Shun Wang & Yao-Jen & Su, 2023. "Measuring Changes in Chinese Banking Productivity and Profitability," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(5), pages 1-1.
    11. Olde Keizer, Minou C.A. & Teunter, Ruud H. & Veldman, Jasper, 2017. "Joint condition-based maintenance and inventory optimization for systems with multiple components," European Journal of Operational Research, Elsevier, vol. 257(1), pages 209-222.
    12. Xu, Lu & Peng, Xianghui & Pavur, Robert & Prybutok, Victor, 2020. "Quality management theory development via meta-analysis," International Journal of Production Economics, Elsevier, vol. 229(C).
    13. Scarf, P.A. & Cavalcante, C.A.V. & Lopes, R.S., 2019. "Delay-time modelling of a critical system subject to random inspections," European Journal of Operational Research, Elsevier, vol. 278(3), pages 772-782.
    14. Muhammad Khuram Khalil & Umaporn Muneenam, 2021. "Total Quality Management Practices and Corporate Green Performance: Does Organizational Culture Matter?," Sustainability, MDPI, vol. 13(19), pages 1-27, October.
    15. Jorge Luis García Alcaraz & Flor Adriana Martínez Hernández & Jesús Everardo Olguín Tiznado & Arturo Realyvásquez Vargas & Emilio Jiménez Macías & Carlos Javierre Lardies, 2021. "Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras," Mathematics, MDPI, vol. 9(9), pages 1-15, April.
    16. Jiawen Hu & Zuhua Jiang & Haitao Liao, 2017. "Preventive maintenance of a batch production system under time-varying operational condition," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5681-5705, October.
    17. Kashif Ali & Satirenjit Kaur Johl & Amgad Muneer & Ayed Alwadain & Rao Faizan Ali, 2022. "Soft and Hard Total Quality Management Practices Promote Industry 4.0 Readiness: A SEM-Neural Network Approach," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    18. Davide Consoli & Fabrizio Fusillo & Gianluca Orsatti & Francesco Quatraro, 2021. "Skill endowment, routinisation and digital technologies: evidence from U.S. Metropolitan Areas," Industry and Innovation, Taylor & Francis Journals, vol. 28(8), pages 1017-1045, September.
    19. Carla Andrade Arteaga & Raúl Rodríguez-Rodríguez & Juan-José Alfaro-Saiz & María-José Verdecho, 2020. "An ANP-Balanced Scorecard Methodology to Quantify the Impact of TQM Elements on Organisational Strategic Sustainable Development: Application to an Oil Firm," Sustainability, MDPI, vol. 12(15), pages 1-19, August.
    20. Kui Wang & Chao Deng & Lili Ding, 2020. "Optimal Condition-Based Maintenance Strategy for Multi-Component Systems under Degradation Failures," Energies, MDPI, vol. 13(17), pages 1-12, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1497-:d:736129. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.