Aggregate Production Planning of Galangal Manufacturing in Thailand

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2022 by IJETT Journal
Volume-70 Issue-7
Year of Publication : 2022
Authors : Chatchaphon Ketviriyakit, Lakkana Ruekkasaem, Supalux Jairueng, Phamorn Silapan
DOI : 10.14445/22315381/IJETT-V70I7P213

How to Cite?

Chatchaphon Ketviriyakit, Lakkana Ruekkasaem, Supalux Jairueng, Phamorn Silapan, "Aggregate Production Planning of Galangal Manufacturing in Thailand" International Journal of Engineering Trends and Technology, vol. 70, no. 7, pp. 122-129, 2022. Crossref,

Small industries are increasing in Thailand, especially in the agriculture sector, in which management is mainly based on the experience of executives without much reliance on technology or computer systems. It increases production costs that can escalate dramatically due to the lack of demand forecasts, aggregate production planning, proper strategic control of warehouse inventory, etc. This study aims to introduce guidelines for forecasting and planning production using a mathematical method and six strategic production models. It will help improve product forecasting and production planning processes for small galangal factories that have never used such methods before. This research uses the techniques of time series analysis forecasting and production planning with the application of linear programming. The results show that the best forecasting method is the simple exponential method due to its low mean absolute error percentage of 1.5. The second strategy involves additional investment in galangal washing machines. The total production cost is 686,779 baht, and it can reduce production costs by 22,080 baht.

Forecasting method, Aggregate production planning, Galangal product.

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