Safety stock, 14, 187, 203–209
Sales force composite, 148
Sampling,
Satisfices, 369
Scale models,
Scatter diagrams, 112, 150
Scatter plot. See Scatter diagrams
Schank Marketing Research, 384
Schematic models,
SCO. See Supply-chain optimization (SCO)
Seasonal adjustments, 164–167
Seasonal component of time-series, 149–150
Seasonal indexes, 164–167
with no trend, 165–166
with trend, 166–167
Seasonal variations, 164–167
Sensitivity analysis, , , 14, 15, 72–73, 194
decision trees, 82
input parameters values, 264
linear programming (LP) problems, 264–271
objective function coefficient changes, 266–268
project management, 399–400
resources or right-hand-side values changes, 269–270
technological coefficients changes, 268–269
trial-and-error approach, 264
what-if questions, 264
Sequential decisions, 78–82
Service costs, 428, 436–438
Service facility, 429
characteristics of, 430–431
Service level, 205
Service processes, 440
Service quality, 529
Service time distribution, 431
Service times, 464
Setup cost, 196
Shadow price, 270, 271
Shewhart, Walter, 530, 531
Shipping costs, 323
Shortages, 186, 187, 189
Shortest-route problem, 319, 320, 332–334
Significant regression model, 119–120
Simkin’s Hardware store, 472–475
Simon, Herbert A., 369
Simple linear regression, 111, 113–114
Simple probability, 22
Simplex algorithm, 239, 250, 369, 373
SIMUL8, 485
Simulated demand, 467
Simulating chips, 470
Simulation, 446, 461–463
advantages and disadvantages, 462–463
collecting data, 478
and complex queuing models, 446
computer languages, 462, 463
computers role in, 446, 485
controllable inputs, 472
corporate operating system, 484
cost analysis, 481–484
cumulative probability distribution, 465, 472
defining problem, 470
econometric models, 485
economic systems, 462, 485
with Excel spreadsheets, 469–471
Federal Aviation Administration (FAA), 476
flowchart, 472
Harry’s Auto Tire Monte Carlo sample, 464–468
history of, 463
inventory analysis, 471–475
issues, 484–486
lead time variable, 471
maintenance problems, 479–484
management system, 461
mathematical model, 461–462
Monte Carlo simulation, 463–471, 474
operational gaming, 484
physical models, 461
preventive maintenance, 483
probability distribution, 465, 472–473
queuing problem, 476–478
random numbers, 464, 465–466
results differing, 462
systems simulation, 484–485
and Tiger Woods, 486
uncontrollable inputs, 472
urban government, 484–485
validation, 485
variables, 463–464
verification, 485
Simulation model maintenance policy, 479–484
Simulation software tools, 485
Single-channel queuing model, 434–439
Single-channel system, 431
Single-period inventory models, 209–214
Single-phase system, 431, 432
Sink, 330, 331
Six Sigma, 530, 534
Six stpng in decision making, 64
Ski lift slowing down to get shorter lines, 433
Slack, 250–251
Slack time, 395
Slope, 113
Smoothing constant, 156–157, 160–162
Software packages and project management, 410
Solutions
developing, , , , , 14, 24, 188
hard-to-understand mathematics, 14
implications of,
integer programming, 358, 360
only one answer limiting, 14
outdates, 13
sensitivity of,
stating problems as, 13–14
testing, –, , 14–15, 24, 188
Solver add-in, 11, 252–255
changes in right-hand-side values, 270–271
changing cells, 260, 373
integer programming problems, 360
minimization problems, 260–261
objective function coefficients, 267–268, 373
preparing spreadsheet for, 252–253
project crashing, 409
solving method, 373
transportation problems, 321–322
transshipment problem, 330
usage, 253–255
Sources, 319, 320, 322, 323, 330
Southeast Airlines, 144
Southwestern University (SWU), 182
food and beverages at, 19–20
forecasting attendance at football games, 182
stadium construction, 422
traffic problems, 354
SPC. See Statistical process control (SPC)
Special Projects Office of the U.S. Navy, 388
Special purpose algorithms, 309
Specific model,
Specific purchase cost, 200
Speith, Jordan, 486
Sports and probability, 39
-
Spreadsheets
for binomial probabilities, 38
entering problem data, 252–253
for exponential probabilities, 48
for the F distribution, 46
left-hand-side (LHS) of constraints formula, 252–253
for the Poisson distribution, 50
preparing for Solver, 252–253
quantitative analysis role, –12
for simulation, 469–471
value of objective function formula, 249, 252
SSE. See Sum of squares error (SSE)
SSR. See Sum of squares regression (SSR)
SST. See Sum of squares total (SST)
Standard deviation, , 30, 34, 38, 40–41, 44, 119, 205–206, 397
Standard error of the estimate, 119
Standard gamble, 87
Standardized normal distribution function, 42
Standard normal curve, 533
Standard normal distribution, 40–41
Standard normal probability table, and Haynes Construction Company example, 41–44
Standard normal table, 40–41, 43
Starting Right Corporation, 107
State-of-nature nodes, 77–78
State-of-nature points, 77
State probabilities, 501–502
calculating, 503–504
current period or next period, 505
equilibrium, 505, 507–510
vector of, 503–504
States, 501–502
accounts receivable application, 510–513
matrix of transition probabilities, 504–505, 510–511
steady state probability, 507
States of nature, 28, 64, 65
Statewide Development Corporation, 497–498
Statistical dependence and joint probability, 27–28
Statistical independence, 26
Statistically dependent events, 26, 27
Statistical process control (SPC), 529, 531–532
charts, 531
QM for Windows, 547–548
and safer drinking water, 538
Statistical quality control,
Steady state, 445
Steady state probabilities, 507, 509
Stepping-stone method, 324
Stpng for the minimal-spanning tree techniques, 334
Stepwise regression, 131
Stigler, George, 239
Stillwater Associates, 395
Stockout cost, 187
Stockouts, 185, 186, 187, 189
Storing resources, 186, 187
Subjective approach of probability, 22, 23
Subjective probability, 22, 23
Subprojects, 410
Successor activity, 399, 400
Sugar cane moving in Cuba, 329
Sumco economic order quantity example (EOQ), 192–193
Sum of squares error (SSE), 115
Sum of squares regression (SSR), 115–116
Sum of squares residual, 122
Sum of squares total (SST), 115
Sumproduct function, 253
Super cola example and x¯-chart (x-bar chart), 536
Supply-chain disruption problem, 337
Supply-chain optimization (SCO), 363
Supply-chain reliability, 337, 363
Supply chains, 337
Supply constraints, 320
Surplus, 250–251
Survey results
favorable, 80, 82, 84
negative, 80, 84
problem in, 83–85
Swift & Company, 269
Systems simulation, 484–485
