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This chapter introduces quantitative methods essential for managerial decision-making, highlighting their significance in various domains such as R&D management, bank teller optimization, and agricultural efficiency. It explores mathematical optimization, simulation models, and resource allocation strategies, enabling managers to formulate the right questions and find optimal solutions. Key areas covered include inventory management, distribution, scheduling, and the use of computer solutions like Excel and QuickQuant. Ultimately, mastering these methods enhances decision-making confidence and equips managers with critical problem-solving skills.
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Chapter 1Introduction Exposure to quantitative methods will teach managers to ask the right questions. Quantitative Decision Making
Continuing Successes Managing R&D Determining Number of Bank Tellers Locating Warehouses Designing Ports Fire Fighting Investing Distribution Inventory Scheduling Flights
Further Successes • Optimizing Agriculture • Waiting in Lines • Satellite Communications • Political Campaign Strategies
Management Science and Operations Research • Finding Optimal Solutions • Mathematical Optimization Procedures
Organization of Book • Introduction • Decision Making and Planning with Uncertainty • Resource Allocation • Distribution, Routing, and Scheduling • Inventory Management • Simulation and Waiting Lines
Models and Decision Making • The Mathematical Model: Parameters and Variables Minimize A = Annual number of items demanded k = Cost of placing an order h = Annual holding cost per dollar value c = Unit cost of procuring an item
Models and Decision Making • Constraints and Feasible Solutions Q< 300 • Optimal Solutions • Algorithms and Model Types
Computer Solutions • Excel Spreadsheets
Computer Solutions • QuickQuant
The Importance of Studying Quantitative Methods • Increases decision-making confidence. • Provides problem-solving skills. • Raises ability to cope with decisions. • Learn spreadsheet skills.