Modern executives operate in environments characterized by uncertainty, resource constraints, complex trade-offs, and rapidly changing market conditions. Every major business decision—from pricing and production planning to supply chain design, capital allocation, workforce management, product portfolios, and strategic investments—involves optimizing limited resources while anticipating uncertain future outcomes. Optimization and simulation have therefore become essential executive tools for improving organizational performance, reducing risk, evaluating strategic alternatives, and supporting evidence-based decision-making.
This advanced course provides a practical, executive-oriented study of optimization and simulation as business decision-support disciplines. Rather than focusing on mathematical proofs or programming-intensive optimization algorithms, the course emphasizes how managers use optimization models, simulation techniques, scenario planning, digital decision-support systems, and analytical software to evaluate alternatives, improve operations, allocate resources, and strengthen strategic planning. Students will learn how executives frame optimization problems, interpret simulation results, evaluate competing strategies, and integrate analytical decision tools into enterprise management.
Throughout the course, emphasis is placed on practical frameworks used by Chief Operating Officers (COOs), Chief Financial Officers (CFOs), Chief Strategy Officers (CSOs), Chief Supply Chain Officers (CSCOs), Chief Data Officers (CDOs), consulting firms, financial institutions, manufacturers, logistics providers, healthcare systems, retailers, technology companies, energy firms, airlines, and multinational corporations. Students will develop executive-level capabilities required to make complex decisions under uncertainty while balancing financial performance, operational efficiency, customer value, organizational resilience, and long-term strategic objectives.
Course Objectives
By the end of this course, students will be able to:
• Apply optimization principles to executive business decision-making.
• Structure complex organizational problems for analytical evaluation.
• Evaluate simulation models used in strategic and operational planning.
• Improve resource allocation using optimization frameworks.
• Support executive decision-making through scenario analysis and business simulations.
• Integrate optimization techniques into finance, operations, marketing, supply chain, and product management.
• Evaluate uncertainty using simulation-based decision support.
• Measure organizational performance through analytical optimization models.
• Lead cross-functional decision-making using evidence-based analytical frameworks.
• Apply executive leadership principles to enterprise optimization initiatives.
