Analisis Persediaan Produk Gula Rafinasi Menggunakan Metode Economic Production Quantity

Authors

  • Edo Ranto Wijaya Politeknik ATI Padang Author
  • Titania Titania Politeknik ATI Padang Author

DOI:

https://doi.org/10.52759/inventory.v2i1.33

Keywords:

Economic Production Quantity, Optimal Solution, Total Inventory Cost, Sensitivity Analysis

Abstract

Overload  is  a  condition  where  the  goods  stored  in  the  warehouse  exceed  the existing  capacity.  With  the  accumulation,  it  will  increase  the  storage  cost  for the products/goods stored. The purpose of this research was to help companies determine the optimal amount of production, optimal production time intervals and maximum product inventory so that there is no excess stock of products in the  warehouse,  and  to  obtain  a  minimum  total  inventory  cost  by  using  the Economic Production Quantity (EPQ) model. To collect the data needed in this study,  secondary  data  was  used  which  consists  of  production  data  and  product delivery  of  company  X.  From  the  research  results, the  optimal production  rate (Q*)  is  13,646  MT/production  cycle  with  an  optimal  production  time  interval of 1.16 months. or equal to 35 days, the maximum amount of inventory (Imax) was 429 MT. The total minimum inventory cost in one production cycle/month is Rp.167,925,698.28, -. The difference in total inventory costs generated using the  EPQ  method  and  calculations  based  on  company  conditions  is  9%  or equivalent  to  Rp.16,538,501,  -. Based  on  the  results  of  the sensitivity  analysis it was known that all parameters are sensitive to Q*, Imax, and total inventory costs.  However,  a  significant  change  is  the  parameter  of  saving  costs,  where the increase and decrease in saving  costs will decrease and increase Q*, Imax, and the total cost of inventory

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References

D. Tresna Ayu, “Analisis Pengedalian Tingkat Produksi Optimal Crumb Rubber Dengan Metode Economic Production Quantity (EPQ)(Studi Kasus : PT. Perkebunan Nusantara III Medan),” North Sumatera University, Medan, North Sumatera, Indonesi, 2018.

N. P. F. Sayuni, A. Zukhri, and M. A. Meitriana, “Analisis Jumlah Produksi Optimal Dengan Metode Economic Production Quantity ( EPQ ) Pada Ud . Sinar Abadi Singaraja,” vol. 00, no. 3, 2014.

F. Putri, “Analisis Produksi Optimal Pengolahan Kopi Salak dengan Model Economic Production Quantity Pada UD . Salacca Padangsidimpuan,” universitas sumatera utara, 2019.

E. Fibriani, D. Cahyadi, and A. Farid H, “Model Economic Production Quantity (EPQ) dengan Sinkronisasi Demand Kontinu Dan Demand

Diskrit pada Produksi Kerupuk Ikan Sungai Khas Kalimantan Timur,” JST (Jurnal Sains Ter., vol. 4, no. 1, pp. 1–9, 2018, doi: 10.32487/jst.v4i1.444.

J. E. Beigel, Perencanaan dan Pengendalian Produksi Cetakan Pertama. 1999.

I. T. Christou, Quantitative methods in supply chain management: Models and algorithms, vol. 9780857297. 2012.

A. Narlan and D. T. Juniar, “Statistika dalam Penjas; Aplikasi praktis dalam penelitian pendidikan jasmani.” p. 123, 2018, Accessed:

Oct. 27, 2020. [Online]. Available: https://books.google.com/bookshl=en&lr=&id=esKIDwAAQBAJ&oi=fnd&pg=PR5&dq=Narlan,+A.,+%26+Juniar,+D.+T.+2018.+Statistika+Dalam+Penjas+Aplikasi+Praktis+Dalam+Penelitian+Pendidikan+Jasmani.+Yogyakarta:+Deepublish&ots=YmFeB14ZH0&sig=rxNmoZ21UdAtN7EiEY5028O5T.

S. E. S. Bariran, K. S. M. Sahari, and A. H. Mahlouji, “Developing a Heuristic Robotics Integrated Production Model for Economic Production Quantity in Mass Customization Manufacturing,” in The Malaysia-Japan Model on Technology Partnership, Springer Japan,

, pp. 139–146.

“Herjanto, E. 2006. Manajemen Operasi (Vol. Edisi... - Google Scholar.” https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Herjanto%2C+E.+2006.+Manajemen+Operasi+%28Vol.+Edisi+Ketiga%29.+Jakarta%3A+Grasindo&btnG= (accessed Oct. 27, 2020).

S. D. . Dewi, N. K. Tastrawati, and K. Sari, “Analisis Sensitivitas dalam Optimalisasi Keuntungan Produksi Busana dengan Metode

Simpleks,” J. Mat., vol. 4, no. 2, pp. 90–101, Dec. 2014, Accessed: Nov. 03, 2020. [Online]. Available: https://ocs.unud.ac.id/index.php/jmat/article/view/12553.

R. U. Hurint, M. Z. Ndii, and M. Lobo, “Analisis Sensitivitas Model Epidemi SEIR,” Nat. Sci. J. Sci. Technol., vol. 6, no. 1, pp. 22–28, Mar. 2017, doi: 10.22487/25411969.2017.v6.i1.8076.

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Published

2021-06-30

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