The Effect of Machine Maintenance and Layout on the Production Process

Tarisa Alifah; Daman Sudarman

doi:10.31851/jmksp.v10i1.18107

Authors

Tarisa Alifah Universitas Muhammadiyah Jakarta, Jakarta, Indonesia
Daman Sudarman Universitas Muhammadiyah Jakarta, Jakarta, Indonesia

DOI:

https://doi.org/10.31851/jmksp.v10i1.18107

Keywords:

Efficiency, Machine Maintenance, Manufacturing Industry Production Process

Abstract

This research aims to analyze the influence of machine maintenance and layout on the production process at PT. Indonesian Packaging Creations. The research method used is a quantitative approach with an associative research design. Data was collected through a questionnaire distributed to 50 respondents who were employees at the company. Data analysis was carried out using multiple linear regression to test the hypothesis that had been formulated. The research results show that machine maintenance has a positive, but not significant, influence on the production process, with a regression coefficient of 0.019 and a significance of 0.738. On the other hand, layout is proven to have a significant influence on the production process, with a regression coefficient of 0.883 and a significance value of 0.000. The simultaneous test shows that the two independent variables have a significant effect on the production process, with a calculated F value of 84.82. This research emphasizes the importance of optimal machine maintenance and efficient layout design to improve the smoothness of the production process. This research provides recommendations for management of PT. Kreasi Kemas Indonesia to implement a better maintenance system and redesign the factory layout to support operational efficiency.

References

Achouch, M., Dimitrova, M., Ziane, K., Sattarpanah Karganroudi, S., Dhouib, R., Ibrahim, H., & Adda, M. (2022). On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges. Applied Sciences, 12(16),. https://doi.org/10.3390/app12168081

Aswad, M. (2024). Redesigning the Layout of Plastic Waste Processing Production Facilities at PT KIMA Using the Computerized Relationship Layout Planning (Corelap) Method. Journal of Agrocomplex and Engineering, 1(1).

Ayvaz, S., & Alpay, K. (2021). Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time. Expert Systems with Applications, 173, 114598. https://doi.org/10.1016/j.eswa.2021.114598

Bousdekis, A., Lepenioti, K., Apostolou, D., & Mentzas, G. (2021). A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications. Electronics, 10(7), Article 7. https://doi.org/10.3390/electronics10070828

Ciano, M. P., Dallasega, P., Orzes, G., & Rossi, T. (2021). One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: A multiple case study. International Journal of Production Research, 59(5), 1386–1410. https://doi.org/10.1080/00207543.2020.1821119

Dalzochio, J., Kunst, R., Pignaton, E., Binotto, A., Sanyal, S., Favilla, J., & Barbosa, J. (2020). Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges. Computers in Industry, 123, 103298. https://doi.org/10.1016/j.compind.2020.103298

Dogan, A., & Birant, D. (2021). Machine learning and data mining in manufacturing. Expert Systems with Applications, 166, 114060. https://doi.org/10.1016/j.eswa.2020.114060

Effendy, E. E., & Gopar, I. A. (2024). The Influence of Career Development, Work Environment and Work Discipline on Employess Performance of PT. Sintertech. JMKSP (Jurnal Manajemen, Kepemimpinan, Dan Supervisi Pendidikan), 9(2),. https://doi.org/10.31851/jmksp.v9i2.15284

Foresti, R., Rossi, S., Magnani, M., Guarino Lo Bianco, C., & Delmonte, N. (2020). Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance. Engineering, 6(7), 835–846. https://doi.org/10.1016/j.eng.2019.11.014

Haviland, S., & Robbins, S. (2021). Career and Technical Education as a Conduit for Skilled Technical Careers: A Targeted Research Review and Framework for Future Research. ETS Research Report Series, 2021(1), 1–42. https://doi.org/10.1002/ets2.12318

Iyer, K. J., Narula, N., Binu, M., & Duffy, V. G. (2023). Improving Facility Layout Using an Ergonomics and Simulation-Based Approach. In V. G. Duffy (Ed.), Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (pp. 102–119). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35741-1_9

Jamwal, A., Agrawal, R., Sharma, M., & Giallanza, A. (2021). Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions. Applied Sciences, 11(12),. https://doi.org/10.3390/app11125725

Lango, R. K., Sopiah, S., & Syihabudhin, S. (2024). The Influence of Transformational Leadership Style on Employee Performance Through Work Motivation and Organizational Culture as Mediating Variables. JMKSP (Jurnal Manajemen, Kepemimpinan, Dan Supervisi Pendidikan), 9(2),. https://doi.org/10.31851/jmksp.v9i2.15893

Lee, J., Azamfar, M., Singh, J., & Siahpour, S. (2020). Integration of digital twin and deep learning in cyber-physical systems: Towards smart manufacturing. IET Collaborative Intelligent Manufacturing, 2(1), 34–36. https://doi.org/10.1049/iet-cim.2020.0009

Li, L., Wang, Y., & Lin, K.-Y. (2021). Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization. Journal of Intelligent Manufacturing, 32(2), 545–558. https://doi.org/10.1007/s10845-020-01588-9

Liu, M., Fang, S., Dong, H., & Xu, C. (2021). Review of digital twin about concepts, technologies, and industrial applications. Journal of Manufacturing Systems, 58, 346–361. https://doi.org/10.1016/j.jmsy.2020.06.017

Mutaufiq, A., & Aisyyah, I. (2021). The Influence of Raw Material Planning and Machine Maintenance on the Effectiveness of the Production Process. Jurnal Ekonomi dan Bisnis, 1(1),. https://doi.org/10.56145/ekonomibisnis.v1i1.31

Muthia, C., Asnawi, M., & Firah, A. F. A. (2023). The Effect of Production Process Efficiency on PT. Charoen Pokphand Indonesia Medan Branch. Journal Economic Management and Business, 2(2),. https://doi.org/10.46576/jfeb.v2i2.4174

Palange, A., & Dhatrak, P. (2021). Lean manufacturing a vital tool to enhance productivity in manufacturing. Materials Today: Proceedings, 46, 729–736. https://doi.org/10.1016/j.matpr.2020.12.193

Paul, S. K., & Chowdhury, P. (2020). A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19. International Journal of Physical Distribution & Logistics Management, 51(2), 104–125. https://doi.org/10.1108/IJPDLM-04-2020-0127

Portella, A., & França, M. (2024). Racial Wage Gaps: The Role of Private Schooling, Technical Education and Graduate Degrees (SSRN Scholarly Paper 4839428). Social Science Research Network. https://doi.org/10.2139/ssrn.4839428

Ruiz-Sarmiento, J.-R., Monroy, J., Moreno, F.-A., Galindo, C., Bonelo, J.-M., & Gonzalez-Jimenez, J. (2020). A predictive model for the maintenance of industrial machinery in the context of industry 4.0. Engineering Applications of Artificial Intelligence, 87, 103289. https://doi.org/10.1016/j.engappai.2019.103289

Salawu, E. Y., Awoyemi, O. O., Akerekan, O. E., Afolalu, S. A., Kayode, J. F., Ongbali, S. O., Airewa, I., & Edun, B. M. (2023). Impact of Maintenance on Machine Reliability: A Review. E3S Web of Conferences, 430, 01226. https://doi.org/10.1051/e3sconf/202343001226

Sastra, A. A., Anif, S., & Haryanto, S. (2024). Motoric Learning Management in Kindergarten in Pekalongan, Indonesia. JMKSP (Jurnal Manajemen, Kepemimpinan, Dan Supervisi Pendidikan), 9(2),. https://doi.org/10.31851/jmksp.v9i2.16193

Shahin, M., Chen, F. F., Bouzary, H., & Krishnaiyer, K. (2020). Integration of Lean practices and Industry 4.0 technologies: Smart manufacturing for next-generation enterprises. The International Journal of Advanced Manufacturing Technology, 107(5), 2927–2936. https://doi.org/10.1007/s00170-020-05124-0

Siregar, S. A. S., Lubis, F. A., & Harahap, M. I. (2024). Marketing Communication Strategy in Increasing the Number of Advertisements: A Case Study of RRI Medan. JMKSP (Jurnal Manajemen, Kepemimpinan, Dan Supervisi Pendidikan), 9(2), Article 2. https://doi.org/10.31851/jmksp.v9i2.16307

Zaidi, M. S., Mahmood, S., Jiran, N. S., & Hassan, M. F. (2022). Layout Improvement on Ergonomically Working Conditions at Jabatan Akauntan Negara Malaysia Negeri Sabah. Journal of Design for Sustainable and Environment, 4(2),.

Zheng, T., Ardolino, M., Bacchetti, A., & Perona, M. (2021). The applications of Industry 4.0 technologies in manufacturing context: A systematic literature review. International Journal of Production Research, 59(6), 1922–1954. https://doi.org/10.1080/00207543.2020.1824085