OPERATIONS RESEARCH TECHNIQUES FOR EFFICIENT BUSINESS DECISION MAKING

Abstract

This study examines the role of Operations Research techniques in improving efficient business decision making in modern organizations. In a competitive and uncertain business environment, managers must make decisions related to cost control, resource allocation, production planning, inventory management, transportation, scheduling, and customer service. Operations Research provides scientific and quantitative tools that support rational decision making by transforming complex business problems into structured mathematical models. The study focuses on major techniques such as linear programming, transportation model, assignment model, inventory control, queuing theory, decision analysis, and simulation. These techniques help organizations identify optimal alternatives, minimize operational cost, maximize profit, reduce waiting time, improve resource utilization, and manage uncertainty effectively. The analysis highlights that Operations Research is not only a mathematical discipline but also a practical managerial tool for evidence-based planning and strategic decision support. The findings suggest that businesses using Operations Research techniques can achieve greater efficiency, transparency, and competitiveness in both manufacturing and service sectors across diverse organizational decision-making contexts and markets. Therefore, the study concludes that Operations Research is essential for systematic, reliable, and data-driven business decision making.