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This Author published in this journals
All Journal PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Journal Of World Science Journal Research of Social Science, Economics, and Management
Niniet Indah Arvitrida
Institut Teknologi Sepuluh Nopember
Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Supplier Selection For Technical Labor Procurement Using Fuzzy Analytical Hierarchy Process Approach In The Power Company Hari Asman; Niniet Indah Arvitrida; Suparno
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1785

Abstract

Effective procurement and supplier selection processes are needed to create a low-cost and reliable supply chain. A power company is having difficulty determining a supplier of technical personnel because there was no scientific method used to weight and prioritize supplier assessment criteria. So far, decision-making has been done more subjectively, causing a mismatch between the result of supplier selection and the company’s needs. This study uses a supplier selection model with the Fuzzy Analytical Hierarchy Process (FAHP) method to calculate the weight of each criterion and sub-criterion and determine the best supplier. The criteria used in this study include Financial Capability, Performance, Similar Experience, Expert Personnel, Office at Work Location, Similar Contracts, and Price, based on the company regulations. The result of this study shows the weight of each criterion that is: Financial Capability at 0.2007, Similar Experience at 0.1887, Performance at 0.1744, Price at 0.1545, Expert Personnel at 0.1518, Office at Work Location at 0.0877, and Similar Contracts at 0.042. Evaluation of three supplier alternatives indicates that supplier X obtained the highest preference value (0.9263), followed by supplier Y (0.8448) and supplier Z (0.8338). Sensitivity analysis on bid price changes demonstrates that supplier Z is more sensitive to price reductions than supplier Y, but supplier X remains the best alternative. Overall, FAHP effectively supports objective and comprehensive supplier selection decision-making. The proposed model can improve consistency, transparency, and procurement accountability.
Decision Analysis of the Use of Ex-Termination Materials for Operating Cost Efficiency with a Multi-Criteria Approach in an Indonesian Upstream Oil and Gas Company Tri Haryanto; Niniet Indah Arvitrida
Journal of World Science Vol. 4 No. 3 (2025): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v4i3.1374

Abstract

This study aims to develop a more effective and data-based strategy for the management of ex-termination materials in the upstream oil and gas industry, integrating ABC, VED, and FMSD methods with Analytical Hierarchy Process (AHP). The analysis was carried out by integrating the ABC-FMSD-VED matrix approach. The results showed that 21% of category A materials accounted for 80% of the total inventory value, while 85.95% of materials were included in the Deadstock category, which was not optimally utilized. The AHP analysis showed that the top priority was internal utilization, followed by borrowing, transfer, and deletion, with sensitivity tests indicating decision stability.
Transmission Spare Parts Inventory Management Strategy Based on Poisson Demand Estimation and Inter-Warehouse Coordination Through Risk Pooling Bima Dwi Utomo; Niniet Indah Arvitrida
Journal Research of Social Science, Economics, and Management Vol. 6 No. 1 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v6i1.1661

Abstract

Spare parts inventory management, particularly for slow-moving transmission components, presents a significant challenge for utility companies due to unpredictable and infrequent demand patterns, high asset value, and the need to maintain operational reliability. Excessive inventory levels tie up substantial working capital, increase carrying costs, and elevate the risk of obsolescence, whereas insufficient stock availability may result in equipment downtime and service disruptions. This study aimed to optimize inventory management for slow-moving transmission spare parts by balancing operational reliability and inventory cost efficiency over a ten-year planning horizon. A Poisson-based forecasting approach, using equipment failure rates as the primary demand driver, was implemented. Additionally, three risk-pooling schemes (no risk pooling, full risk pooling, and partial risk pooling) were evaluated through simulation to assess fill rates, disruption response, and inventory holding costs. The Poisson-based approach reduced projected spare parts requirements by 36% and lowered ending inventory levels by 55% compared with the existing policy. The simulation results indicated that while no risk pooling provided higher fill rates and full risk pooling minimized holding costs, partial risk pooling achieved the optimal trade-off across key performance metrics. Implementing a Poisson-based demand model combined with partial risk pooling enables organizations to significantly reduce procurement expenditures and inventory holding costs without compromising operational reliability.
Co-Authors Bima Dwi Utomo Hari Asman Suparno Tri Haryanto