A Strategy and Application of Uncapacitated Facility Location Problem in Real Life under the Probabilistic Data

This paper focuses on the methods for determining how uncertainties affect people in everyday life. Since almost nothing is deterministic, anything might become impractical in real life. We will encounter many difficulties if we lack anticipatory ideas. The business organizations are facing uncertainties in demand, supply, cost of raw materials, prices of finished products etc. in everyday life. To address these uncertainties, this study will analyse stochastic Linear Programming Problems (SLPs) aiming to bridge the gap between theoretical concepts and practical applications. This paper specifically explores the effects of assuming stochastic pricing and demand in the Uncapacitated Facility Location Problem (UCFLP), shedding light on the variations in profit. We will develop a stochastic UFLP for a company of Bangladesh known as Unilever Company of Bangladesh and it may use for any company in the world. For this, we will collect and analyse the data from the company in stochastic atmosphere. The model will help the company to be able to aware of how uncertainties of demand, supply and other factors can affect the profit and loss of the company. This approach underscores the importance of considering various factors, including demand patterns, cost-effectiveness, and regional dynamics. In the model, we will consider the data from five different regions of Bangladesh.