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Program Name Source Content1.3 Pritchett Clock Repair Shop Excel QM Breakeven Analysis1.4 Pritchett Clock Repair Shop Excel QM Goal Seek2.1 Expected Value and Variance Excel Expected Value and Variance2.2 Binomial Probabilities Excel Binomial Probabilities3.1 Thompson Lumber Excel QM Decision Table3.5 Bayes Theorem for Thompson Lumber Example Excel Bayes Theorem4.1 Triple A Construction Company Sales Excel QM Regression4.2 Jenny Wilson Realty Excel QM Multiple Regression4.3 Jenny Wilson Realty Excel QM Dummy Variables - Regression4.4 MPG Data Excel QM Linear Regression4.5 MPG Data Excel QM Nonlinear Regression4.6 Solved Problem 4-2 Excel Regression5.1 Wallace Garden Supply Shed Sales Excel QM Weighted Moving Average5.2 Port of Baltimore Excel QM Exponential Smoothing5.3 Midwestern Manufacturing's Demand Excel Trend Analysis5.4 Midwestern Manufacturing's Demand Excel QM Trend Analysis5.6 Turner Industries Excel Regression6.1 Sumco Pump Company Excel QM EOQ Model6.2 Brown Manufacturing Excel QM Production Run Model6.3 Brass Department Store Excel QM Quantity Discount Model7.2 Flair Furniture Excel Linear Programming7.4 Holiday Meal Turkey Ranch Excel Linear Programming7.6 High note sound company Excel Linear Programming8.1 Win Big Gambling Club Excel Linear Programming8.3 Fifth Avenue Industries Excel Linear Programming8.5 Top Speed Bicycle Company Excel Linear Programming8.6 Goodman Shipping Excel Linear Programming9.1 High note sound company Excel Linear Programming9.2 Manufacturing Example Excel Linear Programming
10.1 Executive Furniture Company Excel QM Transportation10.2 Birmingham Plant Excel QM Transportation10.3 Fix-It Shop Assignment Excel QM Assignment11.2 Harrison Electric IP Analysis Excel Integer programming11.4 Bagwell Chemical Company Excel Integer programming11.5 Simkin, Simkin and Steinberg Excel Integer programming11.7 Great Western Appliance Excel Nonlinear programming11.8 Hospicare Corp Excel Nonlinear programming11.9 Thermlock Gaskets Excel Nonlinear programming
11.10 Solved Problem 11-1 Excel 0-1 programming13.1 Crashing General Foundry Problem Excel Crashing14.1 Arnold's Muffler Shop Excel QM Single Server (M/M/1) system14.2 Arnold's Muffler Shop Excel QM Multi-Server (M/M/m) system14.3 Golding Recycling, Inc. Excel QM Constant Service Rate (M/D/1)14.4 Department of Commerce Excel QM Finite population queue15.2 Harry's Tire Shop Excel Simulation (inventory)15.3 Generating Normal Random Numbers Excel Random #s and Frequency15.4 Port of New Orleans Barge Unloadings Excel Simulation (waiting line)15.5 Three Hills Power Company Excel Maintenance Simulation16.4 Three Grocery Example Excel Markov Analysis16.5 Accounts Receivable Example Excel Fundamental Matrix & Absorbing States17.1 ARCO Excel p-Chart Analysis
ModuleM1.1 AHP Excel
M5.1 Matrix Multiplication Excel
Dummy Variables - Regression
Constant Service Rate (M/D/1)
Fundamental Matrix & Absorbing States
Pritchett Clock Repair Shop
Breakeven Analysis
DataRebuilt Springs
Fixed cost 1000Variable cost 5Revenue 10
ResultsBreakeven points
Units 200Dollars $ 2,000.00
GraphUnits Costs Revenue
0 1000 0400 3000 4000
0 2 4 6 8 10 120
2
4
6
8
10
12Cost-volume analysis
Units
$
Enter the fixed and variable costs and the selling price in the data area.Enter the fixed and variable costs and the selling price in the data area.
Enter the profits or costs in the main body of the data table. Enter probabilities in the first row if you want to compute the expected value.Enter the profits or costs in the main body of the data table. Enter probabilities in the first row if you want to compute the expected value.
Bayes Theorem for Thompson Lumber Example
Fill in cells B7, B8, and C7
Probability Revisions Given a Positive Survey
State of Nature P(Sur.Pos.|state of nature) Prior Prob. Joint Prob.FM 0.7 0.5 0.35 0.78UM 0.2 0.5 0.1 0.22
P(Sur.pos.)= 0.45
Probability Revisions Given a Negative Survey
State of Nature P(Sur.Pos.|state of nature) Prior Prob. Joint Prob.FM 0.3 0.5 0.15 0.27UM 0.8 0.5 0.4 0.73
P(Sur.neg.)= 0.55
Posterior Probability
Posterior Probability
Triple A Construction Co SUMMARY OUTPUT
Sales (Y)Payroll (X) Regression Statistics
6 3 Multiple R 0.833333
8 4 R Square 0.694444
9 6 Adjusted R 0.618056
5 4 Standard E 1.311011
4.5 2 Observatio 6
9.5 5ANOVA
df SS MS F Significance F
Regression 1 15.625 15.625 9.090909 0.039352
Residual 4 6.875 1.71875
Total 5 22.5
CoefficientsStandard Error t Stat P-value Lower 95%
Total 35.95856 82.45856 1526.5399Average 4.49482 10.30732 190.81749
Bias MAD MSESE 15.950653
Next period 178.595856
Enter alpha (between 0 and 1) then enter the past demands in the shaded area.Enter alpha (between 0 and 1) then enter the past demands in the shaded area.
Total 0.00 60.071429 772.8214Intercept 56.7142857 Average 0.00 8.5816327 110.4031Slope 10.5357143 Bias MAD MSE
SE 12.43239Next period 141 8
Correlation 0.89491
If this is trend analysis then simply enter the past demands in the demand column. If this is causal regression then enter the y,x pairs with y first and enter a new value of x at the bottom in order to forecast y.
If this is trend analysis then simply enter the past demands in the demand column. If this is causal regression then enter the y,x pairs with y first and enter a new value of x at the bottom in order to forecast y.
Year Quarter SalesX1 Time PeriodX2 Qtr 2 X3 Qtr 3 X4 Qtr 41 1 108 1 0 0 0
Enter the data in the shaded area. You may have to do some work to enter the daily production rate.Enter the data in the shaded area. You may have to do some work to enter the daily production rate.
0
2
4
6
8
10
12
Inventory: Cost vs Quantity
Order Quantity (Q)
Co
st (
$)
Enter the data in the shaded area. You may have to do some work to enter the daily production rate.Enter the data in the shaded area. You may have to do some work to enter the daily production rate.
Brass Department Store
Inventory Quantity Discount Model
DataDemand rate, D 5000Setup cost, S 49Holding cost %, I 20%
Range 1 Range 2 Range 3Minimum quantity 0 1000 2000Unit Price, P 5 4.8 4.75
Solution 1.96875 5 6.20689655 0Variables X1 X2 X3 X4Audience reached per ad 5000 8500 2400 2800Maximum TV 1Maximum Newspaper 1Maximum 30-second radio 1Maximum 1 min. radio 1Cost per ad 800 925 290 380Radio dollars 290 380Radio spots 1 1
Material Cost Available UsedSilk 21 800 800Polyester 6 3000 2175Cotton 9 1600 1395
Total Cost 42405
Total Profit 160020
Number (X)
Selling price
Monthly minimum
Monthly demand
Material (yards)
Poly-cotton blend 1
Poly-cotton blend 2
Top Speed Bicycle Company
Transportation
DataCOSTS New York Chicago Los Angel SupplyNew Orleans 2 3 5 20000 Omaha 3 1 4 15000 Demand 10000 8000 15000 33000 \ 35000
ShipmentsShipments New York Chicago Los Angel Row Total New Orleans 10000 0 8000 18000Omaha 0 8000 7000 15000Column Total 10000 8000 15000 33000 \ 33000 Total Cost 96000
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
ShipmentsShipments Albuquerq Boston Cleveland Row Total Des Moines 100 0 0 100Evansville 0 200 100 300Fort Lauderdale 200 0 100 300Column Total 300 200 200 700 \ 700 Total Cost 3900
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Birmingham Plant
Transportation
DataCOSTS Detroit Dallas New York Los Angel SupplyCincinnati 73 103 88 108 15000 Salt Lake 85 80 100 90 6000 Pittsburgh 88 97 78 118 14000 Birmingha 84 79 90 99 11000 Demand 10000 12000 15000 9000 46000 \ 46000
ShipmentsShipments Detroit Dallas New York Los Angel Column Tot Cincinnati 10000 0 1000 4000 15000Salt Lake 0 1000 0 5000 6000Pittsburgh 0 0 14000 0 14000Birmingha 0 11000 0 0 11000Column Tot 10000 12000 15000 9000 46000 \ 46000 Total Cost 3741000
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Enter the transportation costs, supplies and demands in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS.
Fix-It Shop Assignment
Fix-It Shop Assignment
Assignment
DataCOSTS Project 1 Project 2 Project 3Adams 11 14 6 Brown 8 10 11 Cooper 9 12 7
AssignmentsShipments Project 1 Project 2 Project 3 Row Total Adams 0 0 1 1 Brown 0 1 0 1 Cooper 1 0 0 1 Column Total 1 1 1 3 Total Cost 25
Enter the assignment costs in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS. If SOLVER is not an addin option then reinstall Excel.
Enter the assignment costs in the shaded area. Then go to TOOLS, SOLVER, SOLVE on the menu bar at the top.If SOLVER is not a menu option in the Tools menu then go to TOOLS, ADD-INS. If SOLVER is not an addin option then reinstall Excel.
Service rate (m) Average number of customers in the queue(Lq)
Average waiting time in the queue(Wq)
Probability (% of time) system is empty (P0)
The arrival RATE and service RATE both must be rates and use the same time unit. Given a time such as 10 minutes, convert it to a rate such as 6 per hour.The arrival RATE and service RATE both must be rates and use the same time unit. Given a time such as 10 minutes, convert it to a rate such as 6 per hour.
The arrival RATE and service RATE both must be rates and use the same time unit. Given a time such as 10 minutes, convert it to a rate such as 6 per hour.The arrival RATE and service RATE both must be rates and use the same time unit. Given a time such as 10 minutes, convert it to a rate such as 6 per hour.
Arnold's Muffler Shop
Waiting Lines M/M/s
Data Results2 0.33333
3 0.08333Number of servers(s) 2 Average number of customers in the system(L) 0.75
0.04167Average time in the system(W) 0.375
0.5ProbabilitiesNumber Probability Cumulative Probability
Service rate (m) Average number of customers in the queue(Lq)
Average waiting time in the queue(Wq)
Probability (% of time) system is empty (P0)
The arrival RATE and service RATE both must be rates and use the same time unit. Given a time such as 10 minutes, convert it to a rate such as 6 per hour.The arrival RATE and service RATE both must be rates and use the same time unit. Given a time such as 10 minutes, convert it to a rate such as 6 per hour.
Service rate (m) Average number of customers in the queue(Lq)
Average waiting time in the queue(Wq)
Probability (% of time) system is empty (P0)
The arrival RATE and service RATE both must be rates and use the same time unit. Given a time such as 10 minutes, convert it to a rate such as 6 per hour.The arrival RATE and service RATE both must be rates and use the same time unit. Given a time such as 10 minutes, convert it to a rate such as 6 per hour.
Department of Commerce
Waiting Lines M/M/s with a finite population
Data Results
0.05 0.436048
0.5 0.203474Number of servers 1 Average number of customers in the system(L) 0.639522
Population size (N) 5 0.933264Average time in the system(W) 2.933264
Arrival rate (l) per customer Average server utilization(r)
Service rate (m) Average number of customers in the queue(Lq)
Average waiting time in the queue(Wq)
Probability (% of time) system is empty (P0)
Probability, P(n)
Cumulative Probability
Arrival rate(n)
The arrival rate is for each member of the population. If they go for service every 20 minutes then enter 3 (per hour).The arrival rate is for each member of the population. If they go for service every 20 minutes then enter 3 (per hour).
1.7732
Term 1 Term 2 P0(s)1 1 1 1 0.7732
0.5 1.5 0.5 1.5 0.2732 0.5639520.2 1.7 0.0732
0.06 1.76 0.01320.012 1.772 0.0012
0.0012 1.7732 0
Sum term 1
Sum term 2
Decum term 2
Harry's Tire Shop NOTE: The random numbers appearing here may not be the same as the ones in the book, but the formulas are the same.
NOTE: The random numbers appearing here may not be the same as the ones in the book, but the formulas are the same.
Port of New Orleans Barge Unloadings NOTE: The random numbers appearing here may not be the same as the ones in the book, but the formulas are the same.