Development of A Backorder P Model for Inventory Management Issues at PLN UID Suluttenggo Considering Revenue Losses
Keywords:
model p, back order, Two-echelon distribution, nonlinear programming (NLP), material allocationAbstract
PT PLN (Persero) Distribution of North Sulawesi, Central Sulawesi and Gorontalo (UID Suluttenggo) is committed to enhancing the reliability of its new customer connection services. Given the expansive and geographically dispersed operational area, a tiered procurement and material distribution system is implemented. The material distribution process begins at the supplier level and continues to the Customer Service Implementation Units (UP3), which serve as regional distribution warehouses, before being forwarded to Customer Service Units (ULP) based on fluctuating demand. This study aims to model the two-echelon distribution problem by incorporating potential revenue losses resulting from delayed fulfillment (backorders). The problem is formulated within the framework of a periodic inventory model (P-method) with backordering, which falls under the category of nonlinear programming (NLP). The proposed model enables the determination of the optimal ordering cycle and appropriate safety stock levels, with the objective of balancing ordering frequency, storage capacity, and customer service levels. A case study conducted at one of the ULPs in Suluttenggo demonstrates that this approach can lead to more efficient inventory ordering decisions.
Downloads
References
Abdelwahab, W. M., & Sargious, M. (1990). Modeling the demand for freight transport. Journal of Transport Economics and Policy, 24(2), 139–152. https://www.jstor.org/stable/20052741.
Russell, R. S. (1991). Operations Management: Creating Value Along the Supply Chain. Prentice Hall.
Zhao, X., Xie, J., & Zhang, W. J. (2004). The impact of demand uncertainty on supply chain performance: A simulation study. International Journal of Production Research, 40(1), 85–103.https://doi.org/10.1080/00207540310001618094.
Burhan. (2010). Model P Back Order dan Algoritma Permasalahan Inventori dengan Mempertimbangkan Ongkos Transportasi (Fixed and Variable Cost) – Permintaan Probabilistik. AGROINTEK, 4(2), 158–166.
Pulido-Rojano, A., Pizarro-Rada, A., Padilla-Polanco, M., SánchezJiménez, M., & De-la-Rosa, L. (2020). An Optimization Approach for
Inventory Costs in Probabilistic Inventory Models: A Case Study. Ingeniare. Revista Chilena de Ingeniería, 28(3), 383–395. https://doi.org/10.4067/S0718-33052020000300383.
Rini, M. W., & Ananda, N. (2021). Analisis kebijakan inventori probabilistik dengan model P-backorder dan Q-backorder. Journal
Industrial Servicess, 7(1), 1–7. http://dx.doi.org/10.36055/jiss.v7i1.12525:contentReference[oaicite:0]{index=0}
Putra, R. A., Widowati, W., Sutrisno, S., Azis, M. I., & Magdalena, I. (2023). Probabilistic Economic Order Quantity Model with P-Method and Backordering System for Multi-Product with Quantity Discount. AIP Conference Proceedings, 2738(1), 020014. https://doi.org/10.1063/5.0140162
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 ITB Graduate School Conference

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