Operations Research and Management Science HandbookA. Ravi Ravindran CRC Press, 2016 M04 19 - 904 pages 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 | |
| 2-1 | |
| 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 |
Chapter 23 ECommerce | 23-1 |
Chapter 24 Water Resources | 24-1 |
Chapter 25 Military Applications | 25-1 |
A Practitioners Perspective | 26-1 |
Index | 1 |
Back cover | 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 25-1 - The views expressed in this chapter are those of the authors and do not reflect the official policy or position of the Department of the Army, Department of the Navy, Department of Defense or the US Government.
Page 16-1 - Quality — the totality of features and characteristics of a product or service that bear on its ability to satisfy stated or implied needs.
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 15-2 - The critical path method (CPM) and the program evaluation and review technique (PERT) are the two most popular techniques for project network analysis.
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.
Page 11-28 - Technical comment on [5]. [3] W. Aiello, F. Chung and L. Lu, A random graph model for massive graphs, ACM Symposium on the Theory and Computing, 2000.
Page 15-19 - Compute the variance of the project duration as the sum of the variances of the activities on the critical path. The variance of the project duration is denoted by S2.
Page 16-2 - The first step of the engineer in trying to satisfy these wants is, therefore, that of translating as nearly as possible these wants into the physical characteristics of the thing manufactured to satisfy these wants. In taking this step, intuition and judgment play an important role as well as the broad knowledge of human element involved in the wants of individuals. The second step of the engineer is to set up ways and means of obtaining a product which will differ from the arbitrary set standards...