Integration of Demand Forecasting, Production Planning and Control, Production Execution, and Quality Assurance through Cross-Functional Coordination for Operational Performance Improvement: A Case Study on Manufacturing Companies
DOI:
https://doi.org/10.38035/jimt.v8i2.10053Keywords:
cross-functional coordination, integration of operational processes, demand forecasting, production management, operational performanceAbstract
Integration of operational functions is an important issue in manufacturing management because the missynchronization of information on demand, planning, production implementation, and quality can reduce performance. This study aims to analyze the effect of cross-functional coordination on the integration of operational processes and operational performance in one of the manufacturing companies in Surabaya. The study used a mixed-method explanatory sequential based on synthetic data, involving 180 respondents, 12 key informants, 96 interview answers, and 72 operational observations for 24 months on three product families. Quantitative data were analyzed through correlation, operational data through KPI comparison, and thematic qualitative data. The results showed a positive relationship between coordination–integration (r=0.444), integration–performance (r=0.627), and coordination–performance (r=0.396). MAPE decreased from 10.51% to 8.20%, schedule adherence increased from 88.27% to 92.45%, and on-time delivery increased from 89.69% to 93.57%. Interviews emphasized the importance of information synchronization, decision coordination, and quality feedback. Findings show that cross-functional coordination strengthens process integration and supports improved operational performance.
References
Arcidiacono, F., & Schupp, F. (2024). Investigating the impact of smart manufacturing on firms’ operational and financial performance. Journal of Manufacturing Technology Management, 35(3), 458–479.
Battesini, M., ten Caten, C. S., & de Jesus Pacheco, D. A. (2021). Key factors for operational performance in manufacturing systems: Conceptual model, systematic literature review and implications. Journal of Manufacturing Systems, 60, 265–282.
Bhalla, S., Alfnes, E., Hvolby, H.-H., & Oluyisola, O. (2023). Sales and operations planning for delivery date setting in engineer-to-order manufacturing: a research synthesis and framework. International Journal of Production Research, 61(21), 7302–7332.
Byrne, D. (2022). A worked example of Braun and Clarke’s approach to reflexive thematic analysis. Quality & Quantity, 56(3), 1391–1412.
El Mokadem, M. Y., & Khalaf, M. A. (2023). The contingent effect of supply chain strategies on the relationship between supply chain integration and operational performance in manufacturing context. Journal of Manufacturing Technology Management, 34(1), 147–164.
Ganbold, O., Matsui, Y., & Rotaru, K. (2021). Effect of information technology-enabled supply chain integration on firm’s operational performance. Journal of Enterprise Information Management, 34(3), 948–989.
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3). https://doi.org/10.1016/j.rmal.2022.100027
Khannan, M. S. A., Herliansyah, M. K., & Sudiarso, A. (2025). Integrating production planning in collaborative manufacturing: Systematic literature review, and future research direction. Journal of Industrial Engineering and Management, 18(1), 214–244.
Kreuter, T., Scavarda, L. F., Thomé, A. M. T., Hellingrath, B., & Seeling, M. X. (2022). Empirical and theoretical perspectives in sales and operations planning. Review of Managerial Science, 16(2), 319–354.
Li, S., Wang, K., Huo, B., Zhao, X., & Cui, X. (2022). The impact of cross-functional coordination on customer coordination and operational performance: an information processing view. Industrial Management & Data Systems, 122(1), 167–193.
Mahin, M., Kadasah, N., Alsabban, A., & Albliwi, S. (2024). Exploring the landscape of quality 4.0: a comprehensive review of its benefits, challenges, and critical success factors. Production & Manufacturing Research, 12(1), 2373739.
Othman, S., Steen, M., & Fleet, J.-A. (2020). A sequential explanatory mixed methods study design: An example of how to integrate data in a midwifery research project. Journal of Nursing Education and Practice, 11(2), 75. https://doi.org/10.5430/jnep.v11n2p75
Özkanlısoy, Ö. (2024). Investigating the impact of 4IR technologies on supply chain performance: A literature review. International Journal of Innovative Science and Research Technology, 9(8), 1675–1696.
Polater, A. (2025). Building resilient supply chains: unveiling the interplay of reflexivity, supply chain innovation and improvisation capability. Benchmarking: An International Journal, 32(9), 3524–3555.
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39(5), 1035–1064.
Stauder, L., Grünert, G., Niemietz, P., & Bergs, T. (2025). Evaluation of the demand-oriented flexibility in the planning of manufacturing process sequences in serial production. CIRP Journal of Manufacturing Science and Technology, 61, 277–295.
Toyon, M. A. S. (2021). Explanatory sequential design of mixed methods research: Phases and challenges. International Journal of Research in Business and Social Science (2147- 4478), 10(5), 253–260. https://doi.org/10.20525/ijrbs.v10i5.1262
Wong, C. Y., Wong, C. W. Y., & Boon-itt, S. (2025). How do individual supply-chain integration dimensions independently and collectively affect operational performance? A study of manufacturing industries in Thailand. Journal of Global Operations and Strategic Sourcing, 18(2), 349–385.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Yato Susilo, Sutoyo Sutoyo
This work is licensed under a Creative Commons Attribution 4.0 International License.
Penulis yang mempublikasikan manuskripnya di jurnal ini menyetujui ketentuan berikut:
- Hak cipta pada setiap artikel adalah milik penulis.
- Penulis mengakui bahwaJurnal Ilmu Manajemen Terapan (JIMT) berhak menjadi yang pertama menerbitkan dengan lisensi Creative Commons Attribution 4.0 International (Attribution 4.0 International CC BY 4.0) .
- Penulis dapat mengirimkan artikel secara terpisah, mengatur distribusi non-eksklusif manuskrip yang telah diterbitkan dalam jurnal ini ke versi lain (misalnya, dikirim ke repositori institusi penulis, publikasi ke dalam buku, dll.), dengan mengakui bahwa manuskrip telah diterbitkan pertama kali di Jurnal Ilmu Manajemen Terapan (JIMT).
