Optimization of Raw Material Inventory Control CV. Dirga Eggtray Pinrang Using Probabilistic Model with Backorder and Lostsales Condition
DOI:
https://doi.org/10.20956/j.v18i2.18659Keywords:
time series, continuous review system, periodic review systemAbstract
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.Downloads
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
How to Cite
Issue
Section
License
Copyright (c) 2021 Author and publisher
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Jurnal Matematika, Statistika dan Komputasi is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution License, allowing third parties to copy and redistribute the material in any medium or format, transform, and build upon the material, provided the original work is properly cited and states its license. This license allows authors and readers to use all articles, data sets, graphics and appendices in data mining applications, search engines, web sites, blogs and other platforms by providing appropriate reference.
