Optimizing fish crackers production at Keropok Kuala Setiu (KKS): Solving inefficiencies with mixed integer linear programming with governance and ethics
DOI:
https://doi.org/10.15282/jgi.8.2.2025.11915Keywords:
Mixed-Integer Linear Programming (MILP), Production optimization, Resource allocation, Keropok manufacturingAbstract
Keropok Kuala Setiu (KKS), a local producer of traditional fish crackers, has recently faced several operational challenges, namely inefficient resource allocation, excessive raw material wastage, declining workforce productivity, and underutilization of equipment and facilities. To address these challenges, this study proposes the implementation of a Mixed-Integer Linear Programming (MILP) model aimed at streamlining resource allocation within the traditional production of KKS. The primary objective is to optimize the utilization of key resources, namely labor, raw materials, and workspace, in order to meet production targets with minimal waste and process inefficiencies. The MILP model was designed to reflect the existing operational constraints at KKS, enabling the simulation of various optimization scenarios. Results from the simulation demonstrated significant improvements in overall resource efficiency, particularly in balancing the distribution of labor, materials, and spatial resources. Beyond achieving the desired production output, the optimized model also contributed to cost savings and enhanced operational effectiveness. In conclusion, the implementation of the MILP model in the KKS production process demonstrates the practical viability of this approach in enhancing efficiency within traditional food manufacturing settings. Future research may explore the integration of MILP with intelligent techniques such as machine learning or stochastic modeling to better manage demand variability, data limitations, and non-linear constraints in a more adaptive and flexible manner.
References
Ahmad Wardi, A. W., Mohd Zaki, S. A., & Yusof, N. M. (2023). Energy profiling and potential energy saving of a keropok lekor small industry. Journal of Advanced Research in Applied Sciences and Engineering Technology, 32(1), 76–84.
Ahmad, F., & Ismail, R. (2017). Traditional practices in keropok lekor production: A comparative analysis. Malaysian Journal of Food Studies, 5(2), 112–118.
Alsousi, A., & Shah, A. S. (2022). Data governance for SMEs: Systematic literature review. Journal of Information Systems and Digital Technologies, 4(2), 49-57.
Bazargan-Lari, M., Ghaffari-Nasab, N., & Tavakkoli-Moghaddam, R. (2023). A hybrid MILP model for integrated production planning and energy management in food industries. Journal of Cleaner Production, 398, 136851.
Essel, R., & Addo, E. (2021). SMEs corporate governance mechanisms and business performance: Evidence of an emerging economy. Journal of Governance and Integrity, 5(1), 155-169.
Flick, U. (2018). An Introduction to Qualitative Research (6th ed.). SAGE Publications.
Fliphtml5. (2024). Case study of Keropok Lekor Cenderawasih production improvement. https://fliphtml5.com/crjjp/bcst/basic
Ismail, M. H., Zainal, N. A., & Latiff, N. A. (2019). Mechanized food production in SMEs: A case of keropok lekor industry in Terengganu. Asia-Pacific Journal of Innovation and Technology, 1(1), 55–62.
Ketenci, A., & Wolf, M. (2024). Advancing energy efficiency in SMEs: A case study-based framework for non-energy-intensive manufacturing companies. Cleaner Environmental Systems, 14, 100218.
Kumar, R., & Chandra, P. (2019). Improving energy performance in SME food industries. Energy Procedia, 156, 24–28.
Lai Wai Man Kong, C., Low, M., & Ng, K. (2025). MILP-based optimization for garment line balancing in small-batch manufacturing.
Lee, C., Wong, Y., & Lau, C. (2020). Digital transformation in production planning: A Southeast Asian SME perspective. International Journal of Production Research, 58(20), 1-12.
Lee, Y. K. (2022). Keropok lekor: A traditional snack with global potential. Malaysian Food Industry Review, 38(1), 35-42.
Li, X., Zhao, H., & Yang, Y. (2021). Energy-efficient scheduling of manufacturing systems using MILP. Sustainable Manufacturing and Service Economics, 3(1), 14-25.
Missaoui, A., Ozturk, C., O'Sullivan, B., & Garraffa, M. (2023). Energy efficient manufacturing scheduling: A systematic literature review. arXiv preprint.
Mohammadkhani, A., You, F., & Grossmann, I. E. (2022). MILP-based scheduling of batch production under energy constraints. SN Applied Sciences, 4(9), 1-15.
Mohd, S. R. (2021). Cultural and economic impact of traditional snacks in Malaysia. Terengganu Heritage Studies, 12(4), 200-210
Musa, N. A., Haron, R., & Rahman, S. (2018). Consumer preference for traditional versus mechanized keropok lekor. Journal of Consumer Behaviour in Asia, 9(3), 44-50.
Muthiah, K., & Ganesan, R. (2019). Impact of poor production planning in food SMEs: A supply chain perspective. Journal of Industrial Management, 8(3), 50-61.
Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches (7th ed.). Pearson.
Ng, J. L. (2023). Global demand for Halal snacks: Opportunities for Malaysian exports. Southeast Asian Food Business, 16(3), 80-93.
Ng, K. S., Maravelias, C. T., & Smith, R. (2020). A multi-objective MILP framework for sustainable energy-intensive production planning. Computers & Chemical Engineering, 133, 106624.
Osman, N. M., Salleh, M. A. A., & Ahmad, S. (2024). Optimizing warehouse and lean manufacturing using qualitative observation approaches. Management Research Journal, 13(2), 42–55.
Osman, N. M., Salleh, M. A. A., & Ahmad, S. (2024). Optimizing warehouse and lean manufacturing using qualitative observation approaches. Management Research Journal, 13(2).
Osman, N. M., Salleh, M. A. A., & Ahmad, S. (2024). Optimizing warehouse and lean manufacturing using qualitative observation approaches. Management Research Journal, 17(1), 33–41.
Saari, N., & Yusoff, R. (2019). Development and nutritional value of Malaysian fish-based products. International Journal of Fisheries and Aquatic Studies, 7(1), 119–124.
Sagala, G. H., & Őri, D. (2024). Toward SMEs digital transformation success: a systematic literature review. Information Systems and e-Business Management, 22(4), 667-719.
Samsudin, A. R., Abdullah, S., & Mahmud, M. (2018). The implementation of HACCP in small-scale traditional food industries. Malaysian Food Safety Journal, 3(2), 14–20.
Shelton, J., Kamariotou, M., & Others (2024). Impact of Decision Support Systems on strategic management: A meta-analysis. Strategic Management Review.
Smith, R., & West, J. (2020). Disconnected planning in food manufacturing SMEs. Operations Management Review, 6(4), 67–78.
Suryanto, W., Arifin, M., & Purnomo, H. (2022). Optimization in SME food production using MILP: A case from Indonesian tempe industry. Operations and Supply Chain Management, 15(4), 481–490.
Tampubolon, M., Saputri, F. R., & Fianty, M. I. (2024). Improving energy efficiency for culinary MSMEs in Legok Village through electrical management training. I-Com: Indonesian Community Journal, 4(4), 2653–2662
Tan, L. S. (2022). Sustainable practices in the snack manufacturing industry: A case study on keropok lekor production. Environmental and Food Safety Journal, 10(1), 24-30.
Tawil, A.-R., Mohamed, M., Schmoor, X., Vlachos, K., & Haidar, D. (2023). Trends and challenges towards an effective data-driven decision making in UK SMEs: Case studies and lessons learnt from the analysis of 85 SMEs. ArXiv.
Tengku Nur Azila Raja Mamat, N. A. A. Johan, F. N. M. Khair, R. Ibrahim, A. A. Idris, Teoh, S. X. N., & Sari, E. (2022). Production planning concepts for SMEs: A case study in a Malaysian bakery company. International Journal of Industrial Management, 16(1), 25–30.
Yilmaz, G., & Acar, A. Z. (2021). Energy-aware scheduling with MILP models: A review and practical applications. Energy Reports, 7, 1123–1136.
Yin, R. K. (2022). Case Study Research and Applications: Design and Methods (7th ed.). SAGE Publications.
Yusof, R. M., Isa, Z. M., & Hamzah, A. (2020). Food safety and quality assurance in local fish-based snack production. Journal of Public Health and Food Safety, 12(2), 88–96.
Zhang, L., Lin, C., & Xu, Q. (2020). Energy demand forecasting in industrial sectors: A panel data approach. Energy Economics, 89, 104789.
Zhang, Y., Luo, J., & Tan, R. R. (2025). MILP Optimization of Pharmaceutical Production Scheduling Using Julia and Gurobi. Journal of Pharmaceutical Innovation, 20(3), 275–288.
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