Contractor Mobilization Process Improvement Using the DMAIC Framework in a Large-Scale Mining Company in Indonesia

Authors

  • Whina Anugraheni Maharani Institut Teknologi Bandung
  • Liane Okdinawati Institut Teknologi Bandung

DOI:

https://doi.org/10.59261/jbt.v7i3.724

Keywords:

Contractor Mobilization, DMAIC, Process Improvement, Workforce Readiness, Project Performance

Abstract

Background: Contractor mobilization plays a critical role in ensuring workforce readiness and supporting the timely execution of large-scale industrial projects. However, complex administrative requirements, extensive compliance procedures, and coordination among multiple stakeholders often create inefficiencies that affect project performance.

Objective: This study analyzes and improves the contractor mobilization process within one of divisions of a large-scale mining company in Indonesia during a major overhaul project. Although the project was planned for 35 calendar days, actual completion required 84 days, indicating substantial deviation from the planned project schedule.

Methods: The study employs the Define–Measure–Analyze–Improve–Control (DMAIC) framework using qualitative and quantitative data obtained from interviews, document reviews, and internal performance records. Process performance was assessed using four indicators Mobilization Lead Time (MLT), Mobilization Fulfillment Ratio (MFR), Readiness Compliance (RC), and Delay Frequency (DF), all of which were defined at first use in the text.

Results: The findings reveal an average Mobilization Lead Time (MLT) of 57 days, exceeding the 30-working-day service-level target. The overall Mobilization Fulfillment Ratio (MFR) was 82.1% (270 of 329 planned contractors mobilized); however, only 48.6% of contractors were available at project commencement (initial fulfillment rate), while Readiness Compliance (RC) was 27.8% and Delay Frequency (DF) was 40.7%.

Conclusion: These improvements are expected to reduce mobilization lead time, enhance workforce readiness, strengthen cross-functional coordination, and improve the overall effectiveness of contractor mobilization management.

References

Abdellatif, H., & Alshibani, A. (2019). Major factors causing delay in the delivery of manufacturing and building projects in Saudi Arabia. Buildings, 9(4), 93. https://doi.org/10.3390/buildings9040093

Abeysinghe, N., & Jayathilaka, R. (2022). Factors influencing the timely completion of construction projects in Sri Lanka. PLOS ONE, 17(12), e0278318. https://doi.org/10.1371/journal.pone.0278318

Alqahtani, F. K., Shafaay, M., Alagha, E., Ahmed, O., Alshehri, A., Sherif, M., & Abotaleb, I. S. (2026). Risk factors influencing construction supply chain management in Saudi Arabia. Scientific Reports.

Álvarez-Pozo, A. H., Parma-García, M. I., Ortiz-Marcos, I., Bautista, L. F., & Atanes-Sánchez, E. (2024). Analysis of causes of delays and cost overruns as well as mitigation measures to improve profitability and sustainability in turnkey industrial projects. Sustainability, 16(4), 1449. https://doi.org/10.3390/su16041449

Banerjee, S., & Akhila, P. (2026). Integrating Machine Learning with DMAIC in Tyre Manufacturing-A Lean Six Sigma Case Study. 2026 Second International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), 1–8.

Bhatta, B., Sukamani, D., Acharya, M., & Karki, S. (2026). Obstacles in Implementing Safety Management System in Nepalese Construction Projects. SCITECH Nepal, 18(1), 43–51.

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications. https://us.sagepub.com/en-us/nam/designing-and-conducting-mixed-methods-research/book241842

Datta, S. D., Sobuz, M. H. R., Nafe Assafi, M., Sutan, N. M., Islam, M. N., Mannan, M. B., Akid, A. S. M., & Hasan, N. M. S. (2025). Critical project management success factors analysis for the construction industry of Bangladesh. International Journal of Building Pathology and Adaptation, 43(3), 482–511.

De Leeuw, A. C. J., & Volberda, H. W. (1996). On the concept of flexibility: A dual control perspective. Omega, 24(2), 121–139. https://doi.org/10.1016/0305-0483(95)00054-2

Evander Subagyo, I., Saraswati, D., Trilaksono, T., & Setiawan Kusmulyono, M. (2020). Benefits and challenges of DMAIC methodology implementation in service companies: An exploratory study. Jurnal Aplikasi Manajemen, 18(4), 814–824. https://doi.org/10.21776/ub.jam.2020.018.04.19

George, M. L., Rowlands, D., Price, M., & Maxey, J. (2005). The Lean Six Sigma pocket toolbook: A quick reference guide to nearly 100 tools for improving process quality, speed, and complexity (1st ed.). McGraw-Hill. https://books.google.com/books?q=9780071441193

Gunduz, M., & Yahya, A. M. A. (2018). Analysis of project success factors in construction industry. Technological and Economic Development of Economy, 24(1), 67–80. https://doi.org/10.3846/20294913.2015.1074129

Gupta, V., Jain, R., Meena, M. L., & Dangayach, G. S. (2018). Six-sigma application in tire-manufacturing company: A case study. Journal of Industrial Engineering International, 14(3), 511–520. https://doi.org/10.1007/s40092-017-0234-6

Khan, R. F. A., Rsetam, K., Cao, Z., & Man, Z. (2025). ESO Based Adaptive Fixed-Time Integral Sliding Mode Control for Flexible Joint Robots Using Singular Perturbation Method: RF Afsar Khan et al. Nonlinear Dynamics, 113(18), 24981–25000.

Komarudin, M., & Nugroho, R. E. (2022). Analysis of the project success factor through time, cost, labour, health safety environment and quality aspects at PT XYZ. International Journal of Production Management and Engineering, 10(1), 33–49. https://doi.org/10.4995/ijpme.2022.16021

Memon, A. H., Memon, A. Q., Khahro, S. H., & Javed, Y. (2023). Investigation of project delays: Towards a sustainable construction industry. Sustainability, 15(2), 1457. https://doi.org/10.3390/su15021457

Mhatre, S., & Somatkar, A. (2026). Risk Analysis and Process Optimization in Toy Manufacturing Using FMEA, Six Sigma, and Statistical Process Control. International Research Journal of Innovation in Science and Technology, 1(2), 39–46.

Montgomery, D. C. (2019). Introduction to statistical quality control (8th ed.). Wiley. https://books.google.com/books?q=9781119399308

Njeri Mugwe, J., & Runo, S. (2026). Mixed Methods Research Designs. In Research Methodology in Agricultural Sciences (pp. 353–374). Springer.

Prenesti, E. (2025). Think Lean! Discover and develop your lean mindset: Valute, boost, promote and affirm your self. Adiuvare.

Stamatis, D. H. (2003). Failure mode and effect analysis: FMEA from theory to execution (2nd ed.). ASQ Quality Press. https://books.google.com/books?q=9780873895989

Urban, W., & Rogowska, P. (2026). Lean Six Sigma and the Theory of Constraints: Tools, Case Studies, and Synergies. Taylor & Francis.

Wang, F. K., Rahardjo, B., & Rovira, P. R. (2022). Lean Six Sigma with value stream mapping in Industry 4.0 for human-centered workstation design. Sustainability, 14(17), 11020. https://doi.org/10.3390/su141711020

Wikoyati, M., & Kurniyaningrum, E. (2026). The Implementation of ISO 9001: 2015 in Drainage Project Execution Based on Failure Mode and Effect Analysis (FMEA). IAIC Transactions on Sustainable Digital Innovation (ITSDI), 7(2), 117–129.

Womack, J. P., & Jones, D. T. (2003). Lean thinking: Banish waste and create wealth in your corporation (2nd ed.). Free Press. https://books.google.com/books?q=9780743249270

Yiu, N. S. N., Chan, D. W. M., Shan, M., & Sze, N. N. (2019). Implementation of safety management system in managing construction projects: Benefits and obstacles. Safety Science, 117, 23–32. https://doi.org/10.1016/j.ssci.2019.03.027

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Published

2026-08-15