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9780849321276

Operations Research Calculations Handbook

by ;
  • ISBN13:

    9780849321276

  • ISBN10:

    0849321271

  • Format: Hardcover
  • Copyright: 2001-06-27
  • Publisher: CRC Press
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Summary

The field of Operations Research (OR) covers a wide range of mathematical topics. Because it is so broad, results and formulas relevant to the field are widely scattered in different texts and journals and can be hard to find. As the field continues to grow, OR practitioners and students need a convenient, one-stop source for the results relevant to their work.The Operations Research Calculations Handbook meets that need. It contains more than 300 results in a single, concise volume. Organized by topic and listed in a convenient summary format, it allows readers to have frequently used results at their fingertips. Although based on the author's experience in the manufacturing industry, many of the results are basic to system modeling. They carry over easily to applications in other areas of operations research and management science.While modern software packages are useful for obtaining numerical results, formulas continue to play a significant role in systems modeling. They allow one to draw general conclusions about system behavior, reveal the underlying system model, and help provide an understanding of system performance. Whether you are a student, professor, or seasoned professional, the Operations Research Calculations Handbook offers not only a handy reference that will save time, but also a tool that will help build the intuitive understanding you need to apply systems models with confidence.

Table of Contents

Introduction
1(2)
Means and Variances
3(12)
Mean (Expectation) and Variance of a Random Variable
3(2)
Covariance and Correlation Coefficient
5(1)
Mean and Variance of a Sum of Random Variables
6(1)
Mean and Variance of a Product of Two Random Variables
7(1)
Mean and Variance of a Quotient of Two Random Variables
7(1)
Conditional Mean and Variance for Jointly Distributed Random Variables
8(1)
Conditional Mean of a Constrained Random Variable
9(1)
Mean and Variance of the Sum of a Random Number of Random Variables
10(1)
Mean of a Function of a Random Variable
11(1)
Approximations for the Mean and Variance of a Function of a Random Variable
11(1)
Mean and Variance of the Maximum of Exponentially Distributed Random Variables
12(1)
Mean and Variance of the Maximum of Normally Distributed Random Variables
13(2)
Discrete Probability Distributions
15(14)
Bernoulli Distribution
15(1)
Binomial Distribution
16(2)
Geometric Distribution
18(2)
Negative Binomial Distribution
20(3)
Poisson Distribution
23(1)
Hypergeometric Distribution
24(3)
Multinomial Distribution
27(2)
Continuous Probability Distributions
29(28)
Uniform Distribution
29(1)
Exponential Distribution
30(2)
Erlang Distribution
32(3)
Gamma Distribution
35(3)
Beta Distribution
38(2)
Normal Distribution
40(5)
Sum of Normally Distributed Random Variables
41(1)
Standard Normal Distribution
41(1)
Partial Moments for the Normal Distribution
42(1)
Approximations for the Cumulative Normal Distribution Function
43(2)
Lognormal Distribution
45(2)
Weibull Distribution
47(2)
Logistic Distribution
49(1)
Gumbel (Extreme Value) Distribution
50(2)
Pareto Distribution
52(2)
Triangular Distribution
54(3)
Probability Relationships
57(16)
Distribution of the Sum of Independent Random Variables
57(1)
Distribution of the Maximum and Minimum of Random Variables
57(3)
Example for the Uniform Distribution
58(1)
Example for the Exponential Distribution
59(1)
Change of Variable in a Probability Distribution
60(2)
Conditional Probability Distribution for a Constrained Random Variable
62(1)
Combination of Poisson and Gamma Distributions
63(2)
Bayes' Formula
65(1)
Central Limit Theorem
65(2)
Probability Generating Function (z-Transform)
67(1)
Moment Generating Function
68(2)
Characteristic Function
70(2)
Laplace Transform
72(1)
Stochastic Processes
73(6)
Poisson Process and Exponential Distribution
73(2)
Properties of the Poisson Process
73(1)
``Lack of Memory'' Property of the Exponential Distribution
74(1)
Competing Exponentials
74(1)
Superposition of Independent Poisson Processes
74(1)
Splitting of a Poisson Process
74(1)
Arrivals from a Poisson Process in a Fixed Interval
75(1)
Renewal Process Results
75(2)
Mean and Variance of Number of Arrivals in a Renewal Process
75(1)
Distribution of First Interval in a Renewal Process
76(1)
Markov Chain Results
77(2)
Discrete-Time Markov Chains
77(1)
Continuous-Time Markov Chains
77(2)
Queueing Theory Results
79(12)
Notation for Queue Types
79(1)
Definitions of Queueing System Variables
79(1)
Little's Law and General Queueing System Relationships
80(1)
Extension of Little's Law
81(1)
Formulas for Average Queue Length Lq
82(1)
Formulas for Average Time in Queue Wq
83(1)
References for Formulas for Average Queue Length and Time in Queue
84(1)
Pollaczek-Khintchine Formula for Average Time in Queue Wq
85(1)
Additional Formulas for Average Time in Queue Wq
85(1)
Heavy Traffic Approximation for Distribution of Time in Queue
86(1)
Queue Departure Process
87(1)
Distribution Results for Number of Customers in M/M/1 Queue
88(1)
Distribution Results for Time in M/M/1 Queue
89(1)
Other Formulas in Queueing Theory
90(1)
Production Systems Modeling
91(8)
Definitions and Notation for Workstations
91(1)
Basic Relationships between Workstation Parameters
91(1)
Distribution of the Time to Produce a Fixed Lot Size at a Workstation
92(2)
Throughput of a Serial Production Line with Failures
94(1)
Throughput of a Two-Station Serial Production Line with Variable Processing Times
95(1)
Two Stations without Buffer
95(1)
Two Stations with Buffer
96(1)
Throughput of an N-Station Serial Production Line with Variable Processing Times
96(3)
Inventory Control
99(24)
Economic Order Quantity (EOQ)
99(2)
Economic Production Quantity (EPQ)
101(3)
``Newsboy Problem'': Optimal Inventory to Meet Uncertain Demand in a Single Period
104(2)
Inventory Replenishment Policies
106(2)
(s, Q) Policy: Estimates of Reorder Point (s) and Order Quantity (Q)
108(3)
(s, S) Policy: Estimates of Reorder Point (s) and Order-Up-To Level (S)
111(2)
(T, S) Policy: Estimates of Review Period (T) and Order-Up-To Level (S)
113(3)
(T, s, S) Policy: Estimates of Review Period (T), Reorder Point (s), and Order-Up-To Level (S)
116(3)
Summary of Results for Inventory Policies
119(1)
Inventory in a Production/Distribution System
120(2)
A Note on Cumulative Plots
122(1)
Distance Formulas for Logistics Analysis
123(8)
``Traveling Salesman Problem'' Tour Distance: Shortest Path through a Set of Points in a Region
123(1)
Distribution of Distance between Two Random Points in a Circle
124(3)
Average Rectangular Grid Distance between Two Random Points in a Circle
127(1)
Great Circle Distance
128(3)
Linear Programming Formulations
131(20)
General Formulation
131(1)
Terminology
132(1)
Example of Feasible Region
133(1)
Alternative Formulations
134(1)
Minimization vs. Maximization
134(1)
Equality Constraints
134(1)
Reversed Inequality Constraints
135(1)
Diet Problem
135(1)
Duality
136(1)
Special Cases of Linear Programming Problems
137(7)
Transportation Problem
137(4)
Transshipment Problem
141(1)
Assignment Problem
142(2)
Integer Linear Programming Formulations
144(3)
Knapsack Problem
144(2)
Traveling Salesman Problem
146(1)
Solution Methods
147(4)
Simplex Method
147(1)
Interior-Point Methods
148(1)
Network Flow Methods
149(1)
Cutting Planes
149(1)
Branch and Bound
149(2)
Mathematical Functions
151(4)
Gamma Function
151(1)
Beta Function
151(1)
Unit Impulse Function
152(1)
Modified Bessel Functions
152(1)
Stirling's Formula
153(2)
Calculus Results
155(18)
Basic Rules for Differentiation
155(2)
Integration by Parts
157(1)
Fundamental Theorem of Calculus
157(1)
Taylor Series
158(1)
Maclaurin Series
158(1)
L'Hopital's Rule
158(1)
Lagrange Multipliers
159(2)
Differentiation under the Integral Sign (Leibnitz's Rule)
161(1)
Change of Variable in an Integral
162(1)
Change of Variables in a Double Integral
162(3)
Changing the Order of Integration in a Double Integral
165(1)
Changing the Order of Summation in a Double Sum
166(1)
Numerical Integration
167(6)
Matrices
173(4)
Rules for Matrix Calculations
173(1)
Inverses of Matrices
174(1)
Series of Matrices
175(2)
Combinatorics
177(2)
Summations
179(2)
Finite Sums
179(1)
Infinite Sums
179(2)
Interest Formulas
181(2)
References 183(8)
Index 191

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