Optimization of Raw Material Inventory Control CV. Dirga Eggtray Pinrang Using Probabilistic Model with Backorder and Lostsales Condition

Authors

  • Aprizal Resky Hasanuddin University
  • Aidawayati Rangkuti HASANUDDIN UNIVERSITY
  • Georgina M. Tinungki HASANUDDIN UNIVERSITY

DOI:

https://doi.org/10.20956/j.v18i2.18659

Keywords:

time series, continuous review system, periodic review system

Abstract

This research discusses about the comparison of raw material inventory control CV. Dirga Eggtray Pinrang. It starts with forecasting inventory for the next 12 periods using variations of the time series forecasting method, where the linear regression method provides accurate forecasting results with a Mean Absolute Percentage Error (MAPE) value of 1,9371%. The probabilistic models of inventory control used are the simple probabilistic model, Continuous Review System (CRS) model, and Periodic Review System (PRS) model. The CRS model with backorder condition is a model that provides the minimum cost of Rp. 969.273.706,20 per year compared to another probabilistic model with the largest difference of Rp. 1.291.814,95 per year, with the optimum number of order kg, reorder level kg, and safety stock kg.

References

Alemsan, N., Tortorella, G. L., Vergera, A. F. M. C., Rodriguez, C. M. T., & Staudacher, A. P., 2021. Implementing a Material Planning and Control Method for Special Nutrition in Brazilian Public Hospital. The International Journal of Health Planning and Management.

Bahagia, S. N., 2014. Sistem Inventori, Second Edition. Institut Teknologi Bandung, Indonesia. Hlm 147-185.

Ekawati, Y., 2019. “Pengendalian Persediaan Menggunakan Model Continuous Review System dalam Mengoptimumkan Biaya Persediaan”. Skripsi. Palembang: Universitas Sriwijaya.

Indriani, P., Evi, Y., & Indrawati., 2019. Analisis Penerapan Metode Continuous Review System dan Metode Periodic Review System dalam Perencanaan Persediaan Alat Suntik. Skripsi. Palembang: Universitas Sriwijaya.

Kulkarni, S., & Rajhan., 2013. Determination of Optimum Inventory Model for Minimizing Total Inventory Cost, Chemical, Civil and Mechanical Engineering, 3rd Nirma University International Conference on Engineering, Vol. 51, 803-809.

Lestari, N., 2018. “Pengendalian Pengadaan Bahan Bakar Menggunakan Probabilistik Continuous Review System”. Skripsi. Yogyakarta: Universitas Islam Negeri Yogyakarta.

Mahapatra, A. S., Soni, H. N.,Mahapatra, M. S., Sarkar, B., & Majumder, S., 2021. A Continuous Review Production-Inventory System with a Variabel Preparation Time in a Fuzzy Random Environment. Mathematics 2021, Vol. 9, No. 7, 747.

Prak, D., Teunter, R., Babai, M. Z., Boylan, J. E., & Syntetos, A., 2021. Robust Compound Poisson Parameter Estimation for Inventory Control. Omega, Vol. 104, 102481.

Pulungan, D.S., & Erika, F., 2018. Analisa Pengendalian Persediaan Menggunakan Metode Probabilistik dengan Kebijakan Back Order dan Lost Sales. Jurnal Teknik Industri, Vol 19, 38-48.

Rangkuti, A., 2013. 7 Model Riset dan Aplikasinya, First Edition. Brilian Internasional Inc., Surabaya.

San-Jose, L. A., Sicilia, J., Pando, V., & Alcaide-Lopez-de-Pablo, D., 2021. Optimization of an Inventory System with Partial Backlogging from a Financial Investment Perspective. International Transactions in Operational Research, Vol. 29, No. 2, 706-728.

Ulrich, M., Jahnke, H., Langrock, R. Pesch, R., & Senge, R., 2019. Distributional Regression for Demand Forecasting in e-Grocery. European Journal of Operational Research, Vol. 294, No. 3, 831-842.

Downloads

Published

2022-01-01

How to Cite

Resky, A., Rangkuti, A. ., & Tinungki, G. M. . (2022). Optimization of Raw Material Inventory Control CV. Dirga Eggtray Pinrang Using Probabilistic Model with Backorder and Lostsales Condition. Jurnal Matematika, Statistika Dan Komputasi, 18(2), 261–273. https://doi.org/10.20956/j.v18i2.18659

Issue

Section

Research Articles