Login
Section Computer Science

Cost Service Tradeoffs in Power Utility Procurement

Vol. 11 No. 1 (2026): June :

Zulfikar Luthfi Sutarto (1), Rizki Revianto Putera (2)

(1) Institut Teknologi Sepuluh November Surabaya, Indonesia
(2) Institut Teknologi Sepuluh November Surabaya, Indonesia
Fulltext View | Download

Abstract:

General Background: Reliable electricity distribution depends on the availability of Main Distribution Materials. Specific Background: Centralized procurement provides cost control but has longer lead time, while decentralized procurement offers faster responses with higher inventory costs. Knowledge Gap: The cost–service trade-off under uncertain demand has not been fully evaluated. Aims: This study compares centralized and decentralized periodic review policies using Monte Carlo simulation based on SAP ERP demand data from 2022–2024 over 300 weeks. Results: Centralized procurement is more cost-efficient in aggregate but has higher stockout risk and lower responsiveness, whereas decentralized procurement improves service level, shortens lead time, and reduces stockout frequency despite higher holding costs. Novelty: The study integrates validated normal demand distribution with Monte Carlo simulation to assess procurement policy performance. Implications: A hybrid policy is recommended, with centralized control for slow-moving materials and decentralized control for critical or fast-moving materials.


Highlights:



  • Centralized setting delivers aggregate financial advantage but shows longer lead time and weaker responsiveness.

  • Decentralized setting records stronger service levels, faster response, and fewer shortages.

  • Rising service targets raise safety stock and holding expenses across both settings.


Keywords: Supply Chain, Centralized, Decentralized, Main Distribution Materials, Monte Carlo Simulation.

Downloads

Download data is not yet available.

References

O. M. Anli, M. C. Caramanis, and I. C. Paschalidis, “Tractable Supply Chain Production Planning, Modeling Nonlinear Lead Time and Quality of Service Constraints,” Journal of Manufacturing Systems, vol. 26, no. 2, pp. 116–134, 2007, doi: 10.1016/j.jmsy.2008.05.001.

A. Cantini, L. Leoni, S. Ferraro, and F. De Carlo, “Centralized and Decentralized Supply Chains: Performance Maps for Comparing the Cost-Effectiveness of Distribution Network Configurations,” Transportation Research Part E: Logistics and Transportation Review, vol. 204, p. 104435, 2025, doi: 10.1016/j.tre.2025.104435.

R. P. Harrison, S. Ruck, N. Medcalf, and Q. A. Rafiq, “Decentralized Manufacturing of Cell and Gene Therapies: Overcoming Challenges and Identifying Opportunities,” Cytotherapy, vol. 19, no. 10, pp. 1140–1151, 2017, doi: 10.1016/j.jcyt.2017.07.005.

G. Karakatsoulis and K. Skouri, “A Periodic Review Inventory Model Facing Different Disruption Profiles,” International Journal of Production Economics, vol. 265, p. 109004, 2023, doi: 10.1016/j.ijpe.2023.109004.

T. E. Goltsos, A. A. Syntetos, C. H. Glock, and G. Ioannou, “Inventory Forecasting: Mind the Gap,” European Journal of Operational Research, vol. 299, no. 2, pp. 397–419, 2022, doi: 10.1016/j.ejor.2021.07.040.

D. P. Warsing Jr., W. Wangwatcharakul, and R. E. King, “Computing Optimal Base-Stock Levels for an Inventory System With Imperfect Supply,” Computers & Operations Research, vol. 40, no. 11, pp. 2786–2800, 2013, doi: 10.1016/j.cor.2013.04.001.

C. Lam, E. Meinert, A. Yang, and Z. Cui, “Comparison Between Centralized and Decentralized Supply Chains of Autologous Chimeric Antigen Receptor T-Cell Therapies: A UK Case Study Based on Discrete Event Simulation,” Cytotherapy, vol. 23, no. 5, pp. 433–451, 2021, doi: 10.1016/j.jcyt.2020.08.007.

S. Maitra, “Inventory Management Under Stochastic Demand: A Simulation-Optimization Approach,” arXiv Preprint, arXiv:2406.19425, 2024. [Online]. Available: https://arxiv.org/abs/2406.19425

H. G. Nunes, M. Asghari, H. Afshari, and M. Y. Jaber, “Comparative Study of Centralized and Decentralized Systems for Hydrogen Hubs,” IFAC-PapersOnLine, vol. 58, no. 19, pp. 598–603, 2024, doi: 10.1016/j.ifacol.2024.09.278.

A. A. Taleizadeh, K. Tafakkori, and P. Thaichon, “Resilience Toward Supply Disruptions: A Stochastic Inventory Control Model With Partial Backordering Under the Base Stock Policy,” Journal of Retailing and Consumer Services, vol. 58, p. 102291, 2021, doi: 10.1016/j.jretconser.2020.102291.

K. van Donselaar, R. Broekmeulen, and T. de Kok, “Heuristics for Setting Reorder Levels in Periodic Review Inventory Systems With an Aggregate Service Constraint,” International Journal of Production Economics, vol. 237, p. 108137, 2021, doi: 10.1016/j.ijpe.2021.108137.

J. Li, X. Yang, V. Shi, and G. Cai, “Partial Centralization in a Durable-Good Supply Chain,” Production and Operations Management, vol. 32, no. 9, pp. 2775–2787, 2023, doi: 10.1111/poms.14006.

D. L. Trenggonowati, M. Ulfah, A. Ridwan, A. Bahauddin, and K. Kulsum, “Analisis Komparasi Strategi Lokasi Fasilitas Sentralisasi dan Desentralisasi Perencanaan Distribusi Produk,” Journal Industrial Servicess, vol. 8, no. 1, pp. 83–87, 2022, doi: 10.36055/jiss.v8i1.14471.

A. Ihsan and S. Suparno, “Control of Main Distribution Material Inventory (MDU) at PT PLN UP3 Mempawah With FSN-XYZ and Risk Analysis,” Jurnal Impresi Indonesia, vol. 4, no. 6, pp. 1978–1995, 2025, doi: 10.58344/jii.v4i6.6658.

D. Heitasari and F. A. Revalina, “Komparasi Metode Economic Order Quantity (EOQ) dan Just In Time (JIT) dalam Strategi Pengadaan Material di PT X,” Integrasi: Jurnal Ilmiah Teknik Industri, vol. 10, no. 2, pp. 140–149, 2025, doi: 10.32502/integrasi.v10i2.926.

J. P. dos Santos and E. F. Rodrigues, “Custo Do Estoque Centralizado Versus Descentralizado: Uma Analise De Viabilidade Da Centralizacao De Pecas Para Manutencao De Uma Rede De Entretenimento,” in Anais Do 2nd EnGeTec, Sao Paulo, Brazil, 2019. [Online]. Available: https://www.fateczl.edu.br/engetec/engetec_2019/2_ENGETEC_paper_128.pdf

K. M. Nanda and A. I. Alfresi, “Analisis Efektivitas Proses Pengadaan Barang Melalui Sistem SMAR di PLN UID S2JB,” Jurnal Riset Sistem Informasi, vol. 2, no. 4, pp. 20–29, 2025, doi: 10.69714/9vx7yf83.

A. Bafundi and A. Sparacino, “Centralizzazione Degli Acquisti e Spesa Energetica: Il Caso Dei Comuni Italiani [Public Procurement Centralization and Energy Expenditures: The Case of Italian Municipalities],” Bank of Italy Occasional Papers, no. 826, 2023, doi: 10.2139/ssrn.4849520.

A. S. Dewi, K. Kusmaria, and F. Fitriani, “Prosedur Pengadaan dan Distribusi Pupuk SP Fertiphos di UD ABCD,” Jurnal Manajemen Agribisnis Terapan, vol. 1, no. 2, pp. 58–63, 2023, doi: 10.25181/jumaat.v1i2.3414.

A. Banyai Toth, “The Influence of Procurement Logistics Strategy on Organizational Hierarchies: Strategic, Tactical, and Operational Perspectives,” Advanced Logistic Systems: Theory and Practice, vol. 18, no. 4, pp. 73–88, 2024, doi: 10.32971/als.2024.039.

N. A. Prodanova, E. I. Zatsarinnaya, Z. A. Kevorkova, and T. M. Vorozheykina, “Critical Analysis of the Public Procurement Medicines System,” International Journal of Pharmaceutical Research, vol. 12, no. 3, pp. 1898–1902, 2020, doi: 10.31838/ijpr/2020.12.03.264.