IJBTT

Aggregate Production Planning of Ethanal-based Hand Sanitizer to Meet Rising Demand During Covid19 Pandemic in Thailand

Aggregate Production Planning of Ethanal-based Hand Sanitizer to Meet Rising Demand During Covid19 Pandemic in Thailand
	© 2021 by IJETT Journal
	Volume-69 Issue-6
	Year of Publication : 2021
	Authors : Anucha Hirunwat, Pasura Aungkulanon, Supalux Jairueng, Lakkana Ruekkasaem
	DOI :  10.14445/22315381/IJETT-V69I6P220

How to Cite?

Anucha Hirunwat, Pasura Aungkulanon, Supalux Jairueng, Lakkana Ruekkasaem, "Aggregate Production Planning of Ethanal-based Hand Sanitizer to Meet Rising Demand During Covid19 Pandemic in Thailand," International Journal of Engineering Trends and Technology, vol. 69, no. 6, pp. 131-135, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I6P220

APA Style:Anucha Hirunwat, Pasura Aungkulanon, Supalux Jairueng, Lakkana Ruekkasaem. Aggregate Production Planning of Ethanal-based Hand Sanitizer to Meet Rising Demand During Covid19 Pandemic in Thailand.  International Journal of Engineering Trends and Technology, 69(6), 131-135.

Abstract
Aggregate production planning (APP) is often used in logistic management and has direct effects on manufacturing system. APP is capacity planning which determines suitable levels of amount of worker, production strategy and inventory control. In this study, a ethanal-based hand sanitizer manufacturing company was used as a case study. Key concern of the company was that they were unable to distribute products to customer on schedule which affected customers’ satisfaction. In this paper, an optimization model was developed to solve the APP problem in an environment of uncertainty demand. This study used six forecasting methods consisting of the moving average, exponential, double exponential, linear trend, quadratic trend and Winter’s method. The accuracy of forecasting was measured by the lowest mean absolute percent error. The computational results show Winter’s method was the best forecasting method because of its lowest mean absolute percent error of 18. The demand results from Winter’s model was then used for APP with different five demanding scenario. The findings reveal the production cost for normal demand was lowest at 1,116,730 Baht and increased to 1,336,596.00 Baht when increased demand by 20 percent.

Keywords
forecasting method, aggregate production planning, cosmetic company

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