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, https://doi.org/10.14445/22315381/IJETT-V70I7P213

Abstract
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.

Keywords
Forecasting method, Aggregate production planning, Galangal product.

Reference
[1] Vincent F. Y, Hsuan-Chih K, Fu-Yuan C, Snih-Wei L , “Solving Aggregate Production Planning Problems,” An Extended TOPSIS Approach. Appl Sci, Vol.12, Pp.6945, 2022. Https://Doi.Org/10.3390/App12146945.
[2] Atthawit T, Pisal Y,”Aggregate Production Planning with Workforce Transferring Plan For Multiple Product Types,” Production Planning and Control, Vol.14, No.5, Pp.447-458, 2022. DOI: 10.1080/09537280310001597343.
[3] Rafael P.O P, Reinaldo M ,”An Optimization Model For The Aggregate Production Planning of A Brazilian Sugar and Ethanol Milling Company,”Ann Oper Res, Vol.169, Pp.117, 2009. Https://Doi.Org/10.1007/S10479-008-0428-9.
[4] César R-M, Mayra S-S, Carlos S-R, Rosa G-P,”Aggregate Production Planning, Scenario Study in A Medium-Sized Industry of The Rubber Production Line in Ecuador,” IOP Conf. Ser.: Mater. Sci. Eng, Vol.212, Pp.012018, 2017. DOI: 10.1088/1757- 899X/212/1/012018.
[5] Emiro A. C, Jose A. C, Rodrigo A. G-M ,” Linear Programming For Aggregate Production Planning in A Textile Company,” Fibres and Textiles in Eastern Europe, Vol.26, No.5, Pp.13-19, 2018. DOI: 10.5604/01.3001.0012.2525.
[6] Edil D, “Flexible Planning Methods and Procedures with Flexibility Requirements Profile. Doctoral Dissertation,” The University of North Carolina At Charlotte, 2014.
[7] Brazhkin, V, “Managing Warehouse Utilization: An Analysis of Key Warehouse Resources. Graduate Theses and Dissertations,” University of Arkansas, 2014.
[8] Ramūnas P., Kristina Č., Kristina V, “ Improvement of Warehouse Operations Management By Considering Competencies of Human Resources,” Procedia Engineering,Vol.187, Pp.604-613, 2017. DOI: 10.1016/J.Proeng.2017.04.420
[9] Dan B, “Production Planning and Inventory Control in Pharmaceutical Manufacturing Process Flexible,” Doctoral Dissertation, Engineering-Industrial Engineering and Operations Research, University of California, Berkeley, 2015.
[10] Chanipa N, I. Srikun and P. Aungkulanon,”Aggregate Production Planning: A Case Study of Installation Elevator Company,” in Proceedings of The 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, Pp. 5357- 5365, 2021.
[11] Pasura A, Busaba P, Pongchanun L, “Harmony Search Algorithm with Various Evolutionary Elements For Fuzzy Aggregate Production Planning Intelligent Control and Innovative Computing,” Lecture Notes in Electrical Engineering, Springer, New York, Vol.110, Pp.189-201, 2012.
[12] Pasura A, Pongchanun L, Roberto M, “An Elevator Kinematics Optimization Method For Aggregate Production Planning Based on Fuzzy MOLP Model,” International Journal of Mechanical Engineering and Robotics Research, Vol.7, No.4, Pp.22-427, 2018.
[13] Chanipa N, Lakkana R, Pasura A,” Demand Forecasting For Online Market Stock: Case Study Cleanroom Apparel,” in Proceedings of The 10th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4E '19), Association For Computing Machinery, New York, NY, USA, Pp.292–297, 2019.
[14] Anand J. A, Krishnaraj C, Kasthuri Raj S R,” LINGO Based Revenue Maximization Using Aggregate Planning,” ARPN Journal of Engineering and Apply Science,Vol.11, No.9, Pp.6075-6081, 2016.
[15] Anand J. A, Krishnaraj C, Balakrishnan S,” Solving Aggregate Planning Problem Using LINGO,” International Journal of Innovative Science, Engineering and Technology, Vol.4, No.12, Pp.95-100, 2017.
[16] Anucha H, Pasura A, Supalux J, Lakkana R,” 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.
[17] Pasura A, Pongchanun L, Roberto M, ”Multi-Objective Periodic Maintenance Scheduling and Optimisation Via Krill Herd Algorithm,” Songklanakarin Journal of Science and Technology, Vol.43, No.5, Pp.1342-1350, 2021.
[18] Prasert A, Busaba P, “ Inventory System Design By Fuzzy Logic Control: A Scenario Study,” Advanced Materials Research, Vol. 811, Pp.619-624, 2013.
[19] Busaba P, Pisal Y, Ario O, “Aggregate Production Planning with Fuzzy Demand and Variable System Capacity Based on TOC Measures,” International Journal of Industrial Engineering Theory Applications, Vol.18, No.5, Pp.219-231, 2011.
[20] Lakkana R, Supalux J, Anucha H, Pasura A, “Comparison of Harmony Search Algorithm and Scheduling Methods: A Case Study of Installation Lift Company in Thailand,” International Journal of Engineering Trends and Technology, Vol.69, No.2, Pp.25-31, 2021.