PROCUREMENT OF RAW MATERIALS FOR LIQUID ACRYLIC RESIN PRODUCTION USING FORECASTING METHODS AND MATERIAL REQUIREMENTS PLANNING
Keywords:
Liquid acrylic resin, Timeseries forecasting, Regression analysis, Material requirementAbstract
This research aims to study the planning of placing orders for raw materials used in the production of liquid acrylic resin. The study uses the method of forecasting and material requirements planning (MRP), and begins with determining product demands though appropriate time series forecasting techniques. The results so obtained are then used for raw material order planning. It was found that for the products (D)-362 and (D)-836, the Holt-Winters exponential smoothing method should be used, for the product (D)-500, the regression analysis should be employed, for the products (D)-376 and (D)-814, the moving average method is recommended, and for the product (D)-509, the exponential smoothing technique is suitable. Forecast results were used to define the product structure for MRP, and to identify optimal raw material ordering times, which resulted in completely eliminating loss sales due to stockouts, while increasing inventory holding costs only slightly. A three-month trial of the proposed method showed that stockout related opportunity costs dropped to 0 Baht, representing a 100% reduction, while inventory holding costs increased by 751,770 Baht, or 5%, compared to the previous three-month period. The trade-off between reduced opportunity costs and increased holding costs proved that addressing this research problem is worth the effort and cost efficient.
References
Bank of Ayudhya Public Company Limited. (2023). Industry Outlook 2023-2025: Petrochemicals. Retrieved from https://www.krungsri.com/en/research/industry/industry-outlook/ petroch
emicals /petrochemicals/io/io-petrochemicals-2023-2025 [2024, 17 Aug.]
Cetin, B. & Yavuz, I. (2020). Comparison of forecast accuracy of Ata and exponential smoothing. Journal of Applied Statistics, 48(13-15), 2580-2590.
Chuleekorn, C. (2020). The forecasting and economic ordering quantity for package demand: case study of agricultural products processing company in Phatthalung. Humanities and Social Science Research Promotion Network Journal, 3(3), 92-108. (In Thai)
Holt, C. C. (2004). Forecasting seasonals and trends by exponentially weighted moving averages. International Journal of Forecasting, 20(1), 5-10.
Jeong, J. I., Park, R. J., Yeh, S. -W., & Roh, J. -W. (2021). Statistical predictability of wintertime PM2.5 concentrations over East Asia using simple linear regression. Science of The Total Environment, 776, 146059.
Kahraman, E., & Akay, O. (2023). Comparison of exponential smoothing methods in forecasting global prices of main metals. Mineral Economics, 36, 427-435.
Ke, G., Chen, R.-S., Chen, Y.-C., Wang, S., & Zhang, X. (2022). Using ant colony optimization for improving the execution of material requirements planning for smart manufacturing. Enterprise Information Systems, 16(2), 379-401.
Khantiprasert, S., & Ruangchoengchum, P. (2019). Material requirements planning for Chiangda vegetable tea production: Case study in the Plant Genetic Conservation Center of Khlongpai, Nakhon Ratchasima Province. NEU Academic and Research Journal, 9(3), 54-64. (In Thai)
Koohathongsumrit, N. (2024). Production planning and control. Bangkok, Thailand: Ramkhamhaeng University Press. (In Thai)
Miclo, R., Lauras, M., Fontanili, F., Lamothe, J., & Melnyk S. A. (2019). Demand Driven MRP: assessment of a new approach to materials management. International Journal of Production Research, 57(1), 166-181.
Pooya, A., Fakhlaei, N., & Alizadeh-Zoeram, A. (2021). Designing a dynamic model to evaluate lot-sizing policies in different scenarios of demand and lead times in order to reduce the nervousness of the MRP system. Journal of Industrial and Production Engineering, 38(2), 122-136.
Sawatgamon, S., Pruttipong, A., & Chairat, M. (2024). Inventory management by moving average forecasting and EOQ: AAA Co., Ltd. Journal of Administrative and Management Innovation, 12(2), 127-141. (In Thai)
Suphawadee, S., & Chalieo, B. (2023). Reducing the inventory cost of full-service chain store coffee shops. Journal of Management Science, 25(1), 106-119. (In Thai)
Thanchanok, J., & Amarin, T. (2022). Time series forecasting for determining economic order quantity of silicon rubber manufacturer. Journal of Logistics and Supply Chain College, 8(2), 28-49. (In Thai)
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