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All Journal Jurnal Teknologi Industri Pertanian TEKMAPRO Journal of Industrial Engineering and Management Jurnal Teknologi JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura REKAYASA IMAGE OPERATION EXCELLENCE: Journal of Applied Industrial Engineering ITEj (Information Technology Engineering Journals) Jurnal Sistem dan Manajemen Industri EKONOMIS : Journal of Economics and Business AFEBI Management and Business Review JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Journal of Humanities and Social Studies Jurnal Samudra Ekonomi dan Bisnis Jurnal Sistem Cerdas Maker: Jurnal Manajemen JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Teknik Industri Terintegrasi (JUTIN) Indonesian Journal of Social and Environmental Issues (IJSEI) JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Nusantara Science and Technology Proceedings Humanism : Jurnal Pengabdian Masyarakat Indonesian Journal of Industrial Engineering & Management Journal La Lifesci Journal La Multiapp Industrika : Jurnal Ilmiah Teknik Industri Jurnal Talenta Sipil Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Spektrum Industri
Farida Pulansari
Fakultas Teknologi Industri, Jurusan Teknik Industri, Univesitas Pembangunan Nasional ”Veteran” Jawa Timur, Jl. Rungkut Madya Surabaya 60294
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Journal : Journal La Multiapp

 1 
Analysis of Spare Parts Inventory Control Using the Min-Max Stock Method and Continuous Review Lailiyah, Wardatul; Pulansari, Farida; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2011

Abstract

Inventory is one component that has an important role in a company. The smooth production process and demand fulfillment will be greatly influenced by how to manage this component properly. PT XYZ, as one of the strategic power generation units in Indonesia, is responsible for providing a stable supply of electricity. As a company that relies on the reliability of machines and spare parts, good inventory management is essential. The problems faced include the inaccuracy in the procurement of spare parts which causes overstock or stockout with a range of around 10% to 20% which can disrupt the operation of the plant. improvements in inventory control are made using the Min-Max Stock and Continuous Review methods, both of which maintain a balance between inventory costs and spare parts availability to compare the smallest total inventory cost including ordering costs and storage costs. In addition, this research has novelty by providing recommendations for mitigating downtime risks to optimize spare parts inventory control in the power generation industry. Based on the results of the calculation of total inventory costs, the min max stock method is proven to be able to produce lower inventory costs and get savings of Rp 159.961.310 or around 25%. This efficiency proves that the application of Min-Max Stock can optimize spare parts inventory costs.
Risk Analysis and Mitigation in Supply Chain at PT. XYZ with Best Worst Method and House of Risk Ariyanti, Fredika Aura Kusuma; Pulansari, Farida; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i5.2114

Abstract

Risk is a known uncertainty while uncertainty is an unknown risk. Risk can only be reduced by risk management. The purpose of this study is to solve the problems at PT. XYZ in the field of LPG tank product manufacturing. The problems experienced by the company are frequent material delays and overproduction. In this study, the problem-solving methods used are the BWM and HOR methods. The results of the study found that material delays are the main risk and with mitigation s trategies to improve supplier selection criteria.
Analysis of Waste in the 3 Kg LPG Gas Delivery Process Using the Lean Distribution Method Inrianto, Priyatna Septedi; Pulansari, Farida; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2254

Abstract

This study aims to identify waste in the 3 kg LPG delivery process at PT Nahatolu Miragas Prima and provide improvement proposals to improve distribution efficiency. The main problem is the delivery lead time that exceeds the estimated ideal time, causing delays to distribution partners. The method used is lean distribution with steps such as data collection of the distribution process, process flow mapping using Value Stream Mapping, and identification of waste based on 8 types of waste. Weighting was done through a questionnaire to determine the most dominant waste, followed by cause analysis using fishbone diagrams and formulation of improvement proposals using the 5W+1H approach. The results showed that the main wastes were in the waste activities of waiting, excess processing, and non-utilized talent. The application of future stream mapping shows the potential to significantly reduce distribution time by reducing the lead time of the distribution process from 732 minutes to 574 minutes. In conclusion, the lean distribution method is effectively used to identify and reduce waste in the LPG distribution flow by increasing the activity of the 3 Kg LPG distribution process by 21,5%.
Study of Material Flow Analysis Mapping in Supply Management Chain for the Management of Non Functional Device Transformers Syafitri, Annisa Maudi; Pulansari, Farida
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2277

Abstract

This research investigates the optimization of supply chain management for Non-Functional Device (NFD) transformers at PT XYZ through the integration of Material Flow Analysis (MFA) and Analytic Hierarchy Process (AHP). The study addresses the issue of material accumulation and environmental impact arising from inefficient management of decommissioned transformers. MFA to model and evaluate three management scenarios based on mass flow and carbon emissions, while AHP facilitated decision-making by prioritizing five key criteria and eleven sub-criteria. Data were collected through interviews, questionnaires, and internal company records. The results show that Scenario 3 eaturing transformer oil regeneration and component reuse yielded the lowest carbon emissions (101.981 kg CO₂/month) and the highest priority score (0.628) in AHP analysis, with regulatory compliance emerging as the most critical factor. This indicates that Scenario 3 offers the most sustainable and efficient strategy, enabling the company to reduce emissions, recover material value, and improve overall supply chain performance
Co-Authors Adistara, Asya Fadhilah Aflah, Rifka Mauliana Ariyanti, Fredika Aura Kusuma Armadani, Aditya Cahya Arzety, Zahra Bagaskara, Tegar Winoto Bilqis, Delita Devanda, Ryan Rafli Dwi Sukma Donorianto, Dwi Sukma Dwi Sukma Donoriyanto, Dwi Sukma Donoriyanto Erlangga, Veto Andhika Fahruddin, Khabib Fatkur Huda Fergisya, R. A. Luthfi Asia Fitroni, Mochammad Rafqy Al Gilang Ramadhan Gutawa, Ayyub Ihza Haqi, Muhamad Mukhtarul Hardiyanti, Ari Vera Harendsa, Naia Putri Hasan, Iqbal Abdurrahman Hayati, Kinanti Resmi Hidayah, Shesfi Nur Inrianto, Priyatna Septedi Iriani Iriani Kartika, Ardi Puspa Kurniasari, Fadillah Kusuma, Yahya Lailiyah, Wardatul Liddin, Jundana Shidqiyah Miskiyah, Aliffatul Ningtiyas, Ristina Kusuma Nisa Masruroh Nugraha, Isna Nur Rahmawati Oktaviya, Ananta Permithasari, Nila Febriana Putri, Frydella Krisna Putri, Nadya Permata Qisthosin, Rikza Rahmadsyah, Mohamad Faris Ramadani, Deo Globy Ramadhanti, Viola Indira Remba, Angga Rizki Dolla Restu Rivaldi, Dzikri Sanjaya, Yahya Cakra sholeha, fitriatus Sinta Dewi Sulaiman, Yoga Aulia Susanto, Indhira Prameswari Syafitri, Annisa Maudi Wahyu, Imas Prisma Winursito, Yekti Condro Wulansari, Ni Luh Made Pretty Yulia Sari, Alma Dwi Zahira, Nabila Fairuza Zidane, Muhammad Azzam