Econometric Modeling and Matrix Planning of Innovative Spare Parts Production Through Economic Engineering
Year: 2026
Type: article
Abstract: This thesis investigates the mechanisms of diversifying automotive spare parts manufacturing based on economic engineering, matrix resource planning, and quantile regression modeling with time-varying parameters (QR-TVP). Unlike conventional evaluations focused solely on capacity utilization or environmental compliance, this study examines the micro-technological reconfiguration of raw material processing—specifically template cutting geometry, 30-degree panel storage, and thermal spiral synchronization— alongside long-term econometric forecasting up to 2036. Using empirical data from “Avtooyna” LLC (2020–2025), the study proves that matrix planning reduces inter-operational technological losses from 5–10% to 1–3%, while quantile regression reveals a saturation effect in high-innovation segments (q75) and identifies robotization (X4) as the primary statistically significant driver in lower (q25) and median (q50) segments.
Author: Kurbanov Abdulaziz
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225254847
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