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Introduction to Management Science

The Management Science Approach to Problem Solving

Time Out: for Pioneers in Management Science

Management Science Application: Room Pricing with Management Science at Marriott

Model Building: Break-Even Analysis

Computer Solution

Management Science Application: The Application of Management Science with Spreadsheets

Management Science Modeling Techniques

Business Usage of Management Science Techniques

Management Science Application: Management Science in Health Care

Management Science Models in Decision Support Systems

Linear Programming: Model Formulation and Graphical Solution

Model Formulation

A Maximization Model Example

Time Out: for George B. Dantzig

Management Science Application: Allocating Seat Capacity on Indian Railways Using Linear Programming

Graphical Solutions of Linear Programming Models

Management Science Application: Improving Customer Service at Amazon.com

A Minimization Model Example

Management Science Application: Determining Optimal Fertilizer Mixes at Soquimich (South America)

This mini-course provides an overview of management science, focusing on problem-solving techniques and methodologies applicable in various business contexts. It covers topics such as linear programming, project management, decision analysis, and inventory management, among others. Each section includes practical applications and case studies to enhance understanding.

Introduction To Management Science

Management Science serves as a critical discipline that integrates analytical methods and quantitative techniques to facilitate decision-making in complex organizational environments. This course, "Introduction to Management Science," is designed to provide a comprehensive overview of the principles and methodologies that underpin effective management practices. By exploring the management science approach to problem-solving, students will gain insights into how structured frameworks can be applied to real-world challenges, enhancing their ability to analyze situations, develop models, and implement solutions. The course will delve into various applications, such as room pricing strategies at Marriott and optimizing customer service at Amazon, illustrating the practical relevance of management science in diverse sectors.

The curriculum is structured to guide learners through essential topics, including model building, linear programming, and the use of decision support systems. Students will engage with case studies that highlight the application of management science techniques in various industries, such as healthcare and transportation. By examining both maximization and minimization models, participants will develop a robust understanding of how to formulate and solve complex problems using graphical and computational methods. Ultimately, this course aims to equip students with the analytical skills necessary to leverage management science tools effectively, fostering a data-driven approach to decision-making that is vital in today's dynamic business landscape.