Volume 71 | Issue 1 | Year 2025 | Article Id. IJMTT-V71I1P101 | DOI : https://doi.org/10.14445/22315373/IJMTT-V71I1P101
Received | Revised | Accepted | Published |
---|---|---|---|
11 Nov 2024 | 25 Dec 2024 | 12 Jan 2025 | 30 Jan 2025 |
This research focuses on applying Linear Goal Programming to optimize loan management in Indian commercial banks by considering the multi-criteria nature inherent in this critical banking function. Efficient loan management involves meeting conflicting goals, such as maximizing profitability and minimizing the risk of Non-Performing Assets - NPAs - amidst regulatory norms. Conventional methods often lag in satisfying these goals simultaneously. This paper, therefore, proposes an LGP model that integrates some major KPIs related to loan portfolios: loan growth targets, acceptable NPA ratios, targeted recovery rates, and desired profitability margins. Minimizing the deviations from pre-set goals gives a much more balanced, hence optimized lending strategy. This research will validate the efficiency and effectiveness of the proposed LGP model with real-world data from Indian commercial banks or simulated data based on industry trends. The model is solved using QSB+ software. By comparing the results generated by the LGP model with current banking practices, this research highlights the potential benefits of this quantitative optimization approach. The paper offers a useful framework for loan management in the Indian banking sector and is, therefore, of value to bank management and policymakers seeking to optimize lending operations and increase financial stability.
Banking, Goal programming, Multi criteria decision making, Optimization, QSB.
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