PRODUCTION CAPACITY PLANNING BASED ON SALES FORECAST USING CUT AND TRY METHOD

Hernadewita Hernadewita, Hendra Hendra, Dafid Mega Saputra, D Daruki, Singgih Juniawan, Uti Roysen

Abstract


Companies based on FMCG (Fast Moving Consumer Goods) need to increase productivity and improve efficiency in order to stay afloat to keep pace with the increasing prices of food raw materials as a result of global security geopolitical conditions and drastic changes in climatic conditions. One of the affected is PT. DUS produces the basic ingredients of fast food. The purpose of this study was to determine the most efficient production planning option in order to reduce the company's costs. The methods used in this research are Exponential Smoothing Method, Linear Programming Method, and Mean Absolute Percent Error (MAPE) Method for Forecasting; The Economic Quantity Order method includes the determination of Safety Stock and Re-Order Point to determine the amount of Inventory, and the Aggregate Planning Cut and Try Method to determine production capacity with minimum costs. The results showed that the production plan with options for constant labor plans, constant inventory, and overtime resulted in a cost of Rp. 549,840,000.00 while the constant labor plan options, variations in inventory, and running out of inventory result in a cost of Rp. 1,548,350,000.00.


Keywords


Exponential Smoothing, Linear Programming, EOQ, Safety Stock, Re-Order Point, Agregat Planning, Cut and Try

Full Text:

PDF

References


Armbruster, D., & Uzsoy, R. (2012). Continuous Dynamic Models, Clearing Functions, and Discrete-Event Simulation in Aggregate Production Planning. Institute for Operations Research and the Management Sciences (INFORMS), 103-126.

Attia, E. A., Megahed, A., AlArjani, A., Elbetar, A., & Duquenne, P. (2022). Aggregate production planning considering organizational learning with case based analysis. Ain Shams Engineering Journal 13, 1-16.

Buxey, G. (1995). A managerial perspective on aggregate planning. Int. J. Production Economics 41, 127-133.

Djordjevic, I., Petrovic, D., & Stojic, G. (2019). A fuzzy linear programming model for aggregated production planning (APP) in the automotive industry. Computers in Industry 110, 48-63.

Heizer, J., & Render, B. (2019). Manajemen Operasi ; Manajemen Keberlangsungan dan Rantai Pasok. Terjemahan oleh Hirson Kurnia dkk. Jakarta: Salemba Empat.

Jacobs, F. R., & Chase, R. B. (20015). Manajemen Operasi dan Rantai Pasokan Edisi 14-Jilid 1. Terjemahan oleh Liza Nurbani Puspitasari. Jakarta: Salemba Empat.

Jacobs, F. R., & Chase, R. B. (2015). Manajemen Operasi dan Rantai Pasokan Edisi 14-Jilid 2. Terjemahan oleh Liza Nurbani Puspitasari. Jakarta: Salemba Empat.

Jamalnia, A., & Soukhakian, M. A. (2009). A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning. Computers & Industrial Engineering 56, 1474–1486.

Krishnan, T., Khan, A., & Alqurn, J. (2022). Aggregate Production Planning and Scheduling in the Industry 4.0 Environment. Procedia Computer Science 204, 784–793.

Kurniawan, D., & Octavia, T. (2017). Perencanaan Produksi dengan Mempertimbangkan Kapasitas Produksi pada CV. X. Jurnal Tirta, Vol. 5, No.2, 315-320.

Kusuma, H. (2009). Manajemen Produksi, Perencanaan dan Pengendalian Produksi. Yogyakarta: Andi.

Lee, C. Y., & Chiang, M. C. (2016). Aggregate demand forecast with small data and robust capacity decision in TFT-LCD manufacturing. Computers & Industrial Engineering, 1-8.

Li, Z., & Ierapetritou, M. (2009). Integration of Planning and Scheduling and Consideration of Uncertainty in Process Operations. 10th International Symposium on Process Systems Engineering (hal. 87-94). Salvador-Bahia: Elsevier B.V.

Olhager, J., Rudberg, M., & Wikner, J. (2001). Long-term capacity management: Linking the perspectives from manufacturing strategy and sales and operations planning. Int. J. Production Economics 69, 215-225.

Pereira, D. F., Oliveira , J. F., & Carravilla, M. A. (2020). Tactical sales and operations planning: A holistic framework and a literature review of decision-making models. Int. J. Production Economics 228, 1-28.

Ristono, A. (2013). Manajemen Persediaan. Yogyakarta: Graha Ilmu.

Smunt, T. L., & Watts, C. A. (2003). Improving operations planning with learning curves: overcoming the pitfalls of "messy" shop floor data. Journal of Operations Management 21, 93-107.




DOI: https://doi.org/10.24853/jurtek.15.1.81-86

Refbacks

  • There are currently no refbacks.


Jurnal Teknologi Indexed by:

Directory of Open Access JournalGoogle ScholarRoadIndonesia Scientific Journal Database (ISJD)Index Copernicus International (ICI)Garba Rujukan Digital(Garuda)CrossrefScience and Technology Index (SINTA)Directory of Research Journal Indexing (DRJI)CiteFactorResearchgateIndonesia One SearchAcedemia.eduResearchBibAcademickeysBielefeld Academic Search Engine (BASE)JifactorPKP IndexSherpa romeoworldcat


Copyright of Jurnal Teknologi (e-ISSN:2460-0288, p-ISSN:2085-1669).

 

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Powered by Puskom-UMJ