Programming Models by Objectives and their Role in Improving Bank Loan Acceptance Decisions

Abstract

This study aims to explore one of the newer mathematical programming paradigms, known as objective programming. This model complements linear programming by considering the different goals that decision makers seek to achieve, despite their variety and different units of measurement. The study will highlight the main linear models such as Standard Objective Programming and Lexical Objective Programming, in addition to the Weighted Objective Programming model). The role of this model in the financial field will be clarified by improving the selection of loans from banks to maximize returns. The case of the Bank of Agriculture and Rural Development (BADR) in Boudouaou will be analyzed using the LONGO19 software. Results indicated loans in all models. Show the effectiveness of this approach