Operations Research and Management Science HandbookA. Ravi Ravindran Operations Research (OR) began as an interdisciplinary activity to solve complex military problems during World War II. Utilizing principles from mathematics, engineering, business, computer science, economics, and statistics, OR has developed into a full fledged academic discipline with practical application in business, industry, government and m |
Contents
| 1-1 | |
Chapter 2 Nonlinear Programming | 2-1 |
Chapter 3 Integer Programming | 3-1 |
Chapter 4 Network Optimization | 4-1 |
Chapter 5 Multiple Crieria Decision Making | 5-1 |
Chapter 6 Decision Analysis | 6-1 |
Chapter 7 Dynamic Programming | 7-1 |
Chapter 8 Stochastic Processes | 8-1 |
Chapter 15 Project Management | 15-1 |
Chapter 16 Quality Control | 16-1 |
Chapter 17 Reliability | 17-1 |
Chapter 18 Production Systems | 18-1 |
Chapter 19 Energy Systems | 19-1 |
Chapter 20 Airline Optimization | 20-1 |
Chapter 21 Financial Engineering | 21-1 |
Chapter 22 Supply Chain Management | 22-1 |
Chapter 9 Queueing Theory | 9-1 |
Chapter 10 Inventory Control | 10-1 |
Chapter 11 Complexity and LargeScale Networks | 11-1 |
Chapter 12 Simulation | 12-1 |
Chapter 13 Metaheuristics for Discrete Optimization Problems | 13-1 |
Chapter 14 Robust Optimization | 14-1 |
ORMS Applications | 14-35 |
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Common terms and phrases
activity aircraft airline algorithm alternative analysis applications approach arrival asset assume average capacity components computed consider constraints control charts cost crew criteria criterion customers decision variables defined demand denote determine DTMC e-commerce Equation estimate example expected value exponential distribution feasible Figure flow forecast formulation given goal programming graph heuristic integer Internet interval inventory investment iteration linear programming LP relaxation mathematical matrix maximum method minimize minimum multiple node nonlinear objective function Operations Research optimal solution option order quantity parameters performance period planning Poisson process portfolio probability problem queue random variable reliability risk robust robust optimization safety stock scale-free networks scenario scheduling Section server shortest path problem simulated annealing simulation solve statistical stochastic subproblem supply chain Table tabu search techniques transportation units utility variance vector
Popular passages
Page xxii - The distinctive approach is to develop a scientific model of the system, incorporating measurements of factors such as chance and risk, with which to predict and compare the outcomes of alternative decisions, strategies or controls. The purpose is to help management determine its policy and actions scientifically.
Page xxii - Operational research is the application of the methods of science to complex problems arising in the direction and management of large systems of men, machines, materials and money in industry, business, government, and defense.