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.

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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

Vol. 18 No. 2 (2022): JANUARY 2022

Section

Research Articles

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

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

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