Operational Readiness Improvement in Make-to-Order Carton Packaging Systems: An Applied Industrial Engineering Study
DOI:
https://doi.org/10.36456/tibuana.9.1.11097Keywords:
Overall Equipment Effectiveness (OEE)Abstract
Make-to-order manufacturing systems are highly dependent on operational readiness to ensure that available production time is effectively converted into output. In practice, many production facilities experience idle production days, where scheduled production time is available but no output is realized, leading to inefficiencies that are not fully captured by machine-based performance indicators alone. This study aims to analyze operational readiness in a carton packaging production system by examining the relationship between available production time, execution readiness, and output realization. A quantitative case study approach was applied using daily operational data from a carton packaging workshop, including planned production time, downtime, output records, and production execution status. The analysis differentiates between active production days and idle production days to identify readiness-related gaps affecting production utilization. The results show that high machine availability does not necessarily guarantee effective production execution, as a significant proportion of available production time remains unutilized due to readiness issues related to scheduling, material availability, and setup preparedness. This study provides applied insights into operational readiness improvement and offers practical recommendations to enhance production time utilization in make-to-order manufacturing environments.
Key Words : applied industrial engineering; operational readiness; make-to-order manufacturing; production execution; carton packaging
References
Bokrantz, J. et al. (2016). Handling of production disturbances in the manufacturing industry. Journal of Manufacturing Technology Management, 27(8), 1054–1075. https://doi.org/10.1108/JMTM-02-2016-0023
Chikwendu, O. C. et al. (2020). The optimization of overall equipment effectiveness factors in a pharmaceutical company. Heliyon, 6(4), e03796. https://doi.org/https://doi.org/10.1016/j.heliyon.2020.e03796
Dwivedi, Y. K. et al. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2022.102542
Fragapane, G. et al. (2022). Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Annals of Operations Research, 308(1), 125–143. https://doi.org/10.1007/s10479-020-03526-7
Goyal, A. et al. (2022). Sustainable Manufacturing through Systematic Reduction in Cycle Time. In Sustainability (Vol. 14, Issue 24, p. 16473). https://doi.org/10.3390/su142416473
Joachimiak-Lechman, K. et al. (2019). Eco-efficiency analysis of an innovative packaging production: case study. Clean Technologies and Environmental Policy, 21(2), 339–350. https://doi.org/10.1007/s10098-018-1639-7
Jumali, M. A. et al. (2023). Rearranging First-In First-Out (FIFO) Parts Layouts. PROZIMA (Productivity, Optimization and Manufacturing System Engineering), 6(2 SE-Articles). https://doi.org/10.21070/prozima.v6i2.1580
Jumali, M. A. et al. (2025). Tibuana Journal of applied Industrial Engineering-University of PGRI Adi Buana p- ISSN 2622-2027 e- ISSN 2622-2035 Application of the Analytic Hierarchy Process ( AHP ) in Strategic Site Selection for Software Development Branch Expansion in Indonesia Tib.
Jumali, M. A., & Utomo, Y. (2019). PERENCANAAN KEBUTUHAN KAPASITAS WAKTU PRODUKSI PRODUK SPON ALAS TIDUR (Studi Kasus: Perusahaan Alas Tempat Tidur Di Sidoarjo). Jurnal Teknik WAKTU, 17(01), 45–49. http://jurnal.unipasby.ac.id/index.php/waktu/article/view/1867/1681
Klemenčić, M. et al. (2023). The Influence of the Production Stages of Cardboard Pharmaceutical Packaging on the Circular Economy. In Sustainability (Vol. 15, Issue 24, p. 16882). https://doi.org/10.3390/su152416882
My Abdelbar, K. et al. (2019). New approach towards formulation of the overall equipment effectiveness. Journal of Quality in Maintenance Engineering, 25(1), 90–127. https://doi.org/10.1108/JQME-07-2017-0046
Parra, C. et al. (2024). Implementation of the Asset Management, Operational Reliability and Maintenance Survey in Recycled Beverage Container Manufacturing Lines. In Information (Vol. 15, Issue 12, p. 784). https://doi.org/10.3390/info15120784
Petropoulos, F. et al. (2024). Operational Research: methods and applications. Journal of the Operational Research Society, 75(3), 423–617. https://doi.org/10.1080/01605682.2023.2253852
Petropoulos, F. et al. (2025). Wielding Occam’s razor: Fast and frugal retail forecasting. Journal of the Operational Research Society, 76(8), 1564–1583. https://doi.org/10.1080/01605682.2024.2421339
Rajagopalan, S. (2002). Make to Order or Make to Stock: Model and Application. Management Science, 48, 241–256. https://doi.org/10.1287/mnsc.48.2.241.255
Rakyta, M. et al. (2024). The Change in Maintenance Strategy on the Efficiency and Quality of the Production System. In Electronics (Vol. 13, Issue 17, p. 3449). https://doi.org/10.3390/electronics13173449
Ruiz-Rojas, L. I. et al. (2024). Collaborative Working and Critical Thinking: Adoption of Generative Artificial Intelligence Tools in Higher Education. In Sustainability (Vol. 16, Issue 13, p. 5367). https://doi.org/10.3390/su16135367
Slater, P., & Hasson, F. (2024). Quantitative Research Designs, Hierarchy of Evidence and Validity. Journal of Psychiatric and Mental Health Nursing, 32. https://doi.org/10.1111/jpm.13135
Tayal, A. et al. (2021). Effectiveness Improvement in Manufacturing Industry; Trilogy Study and Open Innovation Dynamics. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 7. https://doi.org/https://doi.org/10.3390/joitmc7010007
Tortora, A. M. R. et al. (2025). An assessment procedure to measure and improve the maintenance management information practices maturity: a case study. Journal of Quality in Maintenance Engineering, 31(5), 43–67. https://doi.org/10.1108/JQME-02-2024-0018
Upadhyay, S. et al. (2023). Analyzing the Factors for Implementing Make-to-Order Manufacturing System. In Sustainability (Vol. 15, Issue 13, p. 10312). https://doi.org/10.3390/su151310312
Utomo, Y. et al. (2022). ANALISIS CRITICAL TO QUALITY (CTQ) PADA PERCETAKAN KORAN DI PT TEMPRINA MEDIA GRAFIKA (JAWA POS GROUP). WAKTU: Jurnal Teknik UNIPA, 20(02), 103–109. https://doi.org/10.36456/waktu.v20i02.5876
Wasesa, A. J. A., & Jumali, M. A. (2020). ANALISA PRODUKTIFITAS MESIN DIGITAL PRINTING “SAKURAI OLIVER 458–EII” DI PERUSAHAAN PERCETAKAN SIDOARJO. WAKTU, 18(01), 46–51.
Zhong, D. et al. (2023). Overview of predictive maintenance based on digital twin technology. Heliyon, 9(4), e14534. https://doi.org/https://doi.org/10.1016/j.heliyon.2023.e14534
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Tibuana : Journal of Applied Industrial Engineering

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.












