UTILIZING LINEAR PROGRAMMING TO MAXIMIZE THE EARNINGS OF STREET VENDORS IN BAMBILI AS A FRAMEWORK FOR TUBAH COUNCIL'S REGIONAL DEVELOPMENT INITIATIVES

Abstract

Street-side commerce is an ever-present characteristic of urban environments throughout sub-Saharan Africa., providing livelihoods for a significant segment of the population and contributing to local economic activity. This study investigates the optimization of street vendor profits and its potential contribution to local economic development in Bambili, Cameroon. Applying linear programming techniques to maximize street vendor profits, the study considers resource constraints such as capital, inventory, and time. A mixed-methods research approach combines quantitative analysis (linear programming using the simplex method) with qualitative data (collected through interviews and focus groups). The study proves that the simplex algorithm is an effective tool for calculating the ideal daily production of meat pies and puff-puff batches, ensuring peak profitability within resource limits (flour, cooking oil, and time). Furthermore, the findings highlight the potential of optimized street vendor profits to contribute to local economic growth and social well-being. These results provide evidence-based recommendations for the Tubah Council, offering insights for supporting street vendors and promoting inclusive urban development.