Optimizing Economic Performance via MES: A Strategic Decision-Making Framework for Apparel Manufacturing
DOI:
https://doi.org/10.37385/ijedr.v6i5.8263Keywords:
Manufacturing Execution System, MES, Apparel Industry, Digital Transformation, Real-time Data, Decision-Making, Soft Systems Methodology, Operational Efficiency, Industry 4.0Abstract
In the dynamic landscape of the apparel manufacturing industry, timely and accurate decision-making is critical to operational success. However, the absence of a real-time monitoring system on the production floor has led to dependency on manual reporting, resulting in data delays, inconsistencies, and even manipulation. These challenges severely limit transparency, responsiveness, and overall efficiency. This thesis addresses this business-critical issue by proposing the implementation of a Manufacturing Execution System (MES) to digitally transform production monitoring and reporting processes. Utilizing the Soft Systems Methodology (SSM), this study explores multiple stakeholder perspectives including production teams, supervisors, and management to define root causes and identify feasible solutions. The research incorporates qualitative insights through interviews and surveys, coupled with best practice analysis to design a context-specific MES framework. The outcome aims to enhance real-time data visibility, streamline workflows, and support data-driven decision-making, ultimately contributing to increased productivity and trust across operational levels.
References
ANSI/ISA-95. (2010). Enterprise-Control System Integration: Part 1: Models and Terminology. International Society of Automation.
ARC Advisory Group. (2020). The Role of MES and ERP Integration in Achieving Smart Manufacturing. ARC Advisory Group.
Boston Consulting Group. (2021). Smart Manufacturing: Unlocking Productivity and Growth. BCG Reports.
Checkland, P. (1981). Systems Thinking, Systems Practice. Wiley.
Davenport, T. H. (2013). Process Innovation: Reengineering Work through Information Technology. Harvard Business School Press.
DocuClipper. (n.d.). Challenges in Manual Reporting.
Eisenhardt, K. M. (1989). Making fast strategic decisions in high-velocity environments. Academy of Management Journal, 32(3), 543–576.
Frost & Sullivan. (2021). Digital Transformation in Southeast Asia: SME Readiness and Challenges. Frost & Sullivan.
Gunasekaran, A., Yusuf, Y. Y., Adeleye, E. O., & Papadopoulos, T. (2016). Agile manufacturing practices: the role of big data and business analytics with multiple case studies. International Journal of Production Research, 56(1-2), 385–397.
Hammer, M., & Stanton, S. (1999). How Process Enterprises Really Work. Harvard Business Review Press.
Jeston, J., & Nelis, J. (2014). Business Process Management: Practical Guidelines to Successful Implementations (3rd Edition). Routledge.
MESA International. (2008). MES Explained: A High-Level Vision. Manufacturing Enterprise Solutions Association.
Mohon, R., & Chatterjee, A. (2018). Impact of manual data entry on quality and performance of apparel production. Journal of Textile and Apparel Technology and Management, 11(2), 45–58.
Park, J., & Lee, S. (2019). Implementation of MES for garment industry in Korea: An empirical analysis. Asian Journal of Information Systems, 3(1), 22–31.
Presley, A. (2002). Soft Systems Methodology and Manufacturing Strategy Formulation. Proceedings of the 15th International Conference on Production Research.
Qiu, Y., Wang, Z., & Chen, J. (2020). A study on the integration of MES with ERP in manufacturing industry. Journal of Intelligent Manufacturing, 31, 201–217.
Rahamaddulla, S. R. B., Leman, Z., Baharudin, B. T. H. T. B., & Ahmad, S. A. (2021). Readiness of SMEs for digital transformation: Evidence from Southeast Asia. Asian Journal of Business and Technology, 12(3), 99–110.
SAP. (n.d.). What is Industry 4.0?.
Schwab, K. (2017). The Fourth Industrial Revolution. Crown Business.
Sengupta, A., Roy, D., & Kapoor, R. (2021). MES adoption in Indian textile manufacturing firms: Impact and enablers. Indian Journal of Industrial Engineering, 14(2), 33–47.
Shrouf, F., & Miragliotta, G. (2015). Smart Factories in Industry 4.0: A Review of the Concept and of Energy Management Approaches in Production Based on the Internet of Things Paradigm. Springer.
Silva, R., & Kumari, M. (2021). Comparative performance analysis of MES versus manual reporting in Sri Lankan apparel industry. Textile Asia, 52(4), 30–38.
Slack, N., Brandon-Jones, A., & Johnston, R. (2019). Operations Management (9th Edition). Pearson Education.
Stevenson, W. J. (2020). Operations Management (14th Edition). McGraw-Hill Education.
Tata Technologies. (2019). MES Adoption Challenges in Manufacturing: Survey Report. Tata Technologies Whitepaper.
Tayur, N., & Ganesh, R. (2020). Data-driven production decision-making: A survey in Southeast Asian garment factories. Operations Management Review, 15(1), 14–25.
Womack, J. P., & Jones, D. T. (2003). Lean Thinking: Banish Waste and Create Wealth in Your Corporation. Simon & Schuster.
