Garuda - Garba Rujukan Digital

Niniet Indah Arvitrida

Institut Teknologi Sepuluh Nopember, Indonesia

Author-ID : 10091832

Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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Inventory Management Of Gasoline Ron 92 And Gasoil 0,05% Sulphur With Monte Carlo Simulation Satriyo Hadi Wibowo; Niniet Indah Arvitrida
Journal of Social Research Vol. 4 No. 7 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i7.2608

Fuel (BBM) is a strategic commodity that plays a crucial role in supporting various economic sectors. PT XYZ, one of the fuel suppliers in Timor Leste, faces significant challenges in ensuring a stable and timely supply. Issues such as demand fluctuations, lead time uncertainty, and limited storage capacity often trigger stockout risks and additional operational costs such as demurrage. In 2023, PT XYZ recorded two stockout events and two potential demurrage occurrences, resulting in financial losses and missed sales opportunities. This study adopts a Monte Carlo simulation approach to model the variability of daily demand and lead time more realistically. Three inventory control methods are evaluated: the Min-Max method, the (s,Q) method, and the (s,S) method, across three demand scenarios: normal, +20% increase, and -15% decrease. Key performance indicators analyzed include Economic Order Quantity (EOQ), Safety Stock (SS), Reorder Point (ROP), total cost, and service level. The simulation was conducted over 851 days to reflect actual operational conditions. The results show that the Min-Max method performed best under the low-demand scenario, with the lowest total cost and no stockouts. The (s,Q) method provided the best balance between ordering frequency, operational cost, and service level in the normal demand scenario. Meanwhile, the (s,S) method demonstrated less efficient performance under the high-demand scenario due to higher stockouts and increased holding costs. These findings recommend adopting inventory control strategies that are adaptive to demand dynamics and consider storage capacity limitations to enhance PT XYZ’s fuel supply chain efficiency and resilience.

Implementation of The Main Distribution Material Inventory Control Policy (MDU) Using The Continuous Review Method at PT PLN (Persero) Up3 Sukabumi Satria Achmad Hazim; Niniet Indah Arvitrida
Journal of Social Research Vol. 4 No. 8 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i7.2687

The electricity industry is a strategic sector in the Indonesian economy, with PT PLN (Persero) as the main company responsible for the distribution of electrical energy. UP3 Sukabumi serves 54,636 New Install (PB) customers and 26,744 Power Change (PD) customers during the 2022-2023 period. The achievement of the lowest Service Quality Level (TMP) was due to the unavailability of Main Distribution Materials (MDU) by 46%. This study aims to optimize the control of MDU inventory using the Continuous Review (s,S) method with a Monte Carlo simulation approach. The classification of materials based on ADI-CV shows smooth and erratic characteristics with an ADI value of < 1.32. The results showed an increase in service level from 78-94% to 82-97% and a decrease in total inventory costs in 9 out of 10 materials studied. The optimal parameters obtained for MCB 25A material are s = 65 and S = 150 with a service level of 96%. The implementation of this method has a positive impact in the form of improving customer service, inventory cost efficiency, and achieving the company's TMP targets.

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