Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
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Chapter 7, Problem 74P
Summary Introduction
To find: The maximum area of the triangle.
Non-linear programming (NLP):
Non-linear programming (NLP) is used in complex optimization problems where the objectives or constraints or sometimes both are non-linear functions of the decision variables. A model can be termed as non-linear for more than one reason.
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Students have asked these similar questions
For the next 6 numbers: Refer to the Management Scientist output of a
maximization LP problem. The constraints are defined as follows:
Constraint 1: advertising budget (
)
Constraint 2: sales force availability (
)
Constraint 3: production level (=)
Constraint 4: retail stores requirement (
)
Optimal Solution
Objective Function Value -
Variable.
Constraint
X1
X2
X1
X2
X3
X4
X3
X4
1
2
Variable
1
2
3
3
4
OBJECTIVE COEFFICIENT RANGES
4
Constraint
RIGHT HAND SIDE RANGES
Value
Slack/Surplus
Lover Limit
25.000
425.000
150.000
0.000
84.000
50.000
No Lover Linit
No Lover Linit
Lover Limit
48450.000
0.000
25.000
0.000
0.000
4950.000
1775.000
515.000
0.000
Reduced Costs
Dual Prices
Current Value
90.000
84.000
70.000
60.000
Current Value
0.000
0.000
0.000
45.000
5000.000
1800.000
600.000
150.000
3.000
0.000
60.000
-17.000
Upper Limit
No Upper Linit
90.000
87.000
105.000
Upper Linit
5850.000
No Upper Limit
603.571
200.000
Compared to the area between z = 1.00 and z = 1.25, the area between z = 2.00 and z = 2.25 in the standard normal distribution will be:
A- smaller
B- larger
C- the same
D- impossible to compare without knowing μ and σ
(3) The Elon Company manufactures parts for an aircraft company using three
computerized numerical controlled (CNC) turning centers. The company has to
decide which machines are capable of producing a specific part with design
specifications of 0.0970 inch ± 0.015 inch. The machines have the following
parameters: Machine 1 (x= 0.0995, o = 0.004); Machine 2 ( = 0.1002, o = 0.009);
Machine 3 (x = 0.095, o = 0.005). Determine which machines (if any) can produce
the products within the design specifications.
||
Chapter 7 Solutions
Practical Management Science
Ch. 7.3 - Prob. 1PCh. 7.3 - Prob. 2PCh. 7.3 - Pricing Decisions at Madison The Madison Company...Ch. 7.3 - Prob. 4PCh. 7.3 - Prob. 5PCh. 7.3 - Prob. 6PCh. 7.3 - Prob. 7PCh. 7.3 - Prob. 8PCh. 7.3 - Prob. 9PCh. 7.3 - Prob. 10P
Ch. 7.3 - Prob. 11PCh. 7.3 - Prob. 12PCh. 7.3 - Prob. 13PCh. 7.3 - PRICING SUITS AT SULLIVANS Sullivans is a retailer...Ch. 7.3 - Prob. 15PCh. 7.4 - Prob. 16PCh. 7.4 - Prob. 17PCh. 7.4 - Prob. 18PCh. 7.4 - Prob. 19PCh. 7.4 - Prob. 20PCh. 7.4 - Prob. 21PCh. 7.4 - Prob. 22PCh. 7.4 - Prob. 23PCh. 7.5 - Prob. 24PCh. 7.5 - Prob. 25PCh. 7.5 - Prob. 26PCh. 7.5 - Prob. 27PCh. 7.6 - Prob. 28PCh. 7.6 - Prob. 29PCh. 7.6 - Prob. 30PCh. 7.6 - Prob. 31PCh. 7.6 - Prob. 32PCh. 7.6 - Prob. 33PCh. 7.6 - The method for rating teams in Example 7.8 is...Ch. 7.7 - Prob. 35PCh. 7.7 - Prob. 36PCh. 7.7 - Prob. 37PCh. 7.7 - The stocks in Example 7.9 are all positively...Ch. 7.7 - Prob. 39PCh. 7.7 - Prob. 40PCh. 7.7 - Prob. 41PCh. 7.7 - Prob. 42PCh. 7.8 - Given the data in the file Stock Beta.xlsx,...Ch. 7.8 - Prob. 44PCh. 7 - Prob. 45PCh. 7 - Prob. 46PCh. 7 - Another way to derive a demand function is to...Ch. 7 - Prob. 48PCh. 7 - If a monopolist produces q units, she can charge...Ch. 7 - Prob. 50PCh. 7 - Prob. 51PCh. 7 - Prob. 52PCh. 7 - Prob. 53PCh. 7 - Prob. 54PCh. 7 - Prob. 55PCh. 7 - Prob. 56PCh. 7 - A beer company has divided Bloomington into two...Ch. 7 - Prob. 58PCh. 7 - Prob. 59PCh. 7 - Prob. 60PCh. 7 - Prob. 61PCh. 7 - Prob. 62PCh. 7 - Prob. 63PCh. 7 - You have 50,000 to invest in three stocks. Let Ri...Ch. 7 - Prob. 65PCh. 7 - Prob. 66PCh. 7 - Prob. 67PCh. 7 - Prob. 68PCh. 7 - Prob. 69PCh. 7 - Prob. 70PCh. 7 - Based on Grossman and Hart (1983). A salesperson...Ch. 7 - Prob. 73PCh. 7 - Prob. 74PCh. 7 - Prob. 75PCh. 7 - Prob. 76PCh. 7 - Prob. 77PCh. 7 - Prob. 78PCh. 7 - Prob. 79PCh. 7 - Prob. 80PCh. 7 - Prob. 81PCh. 7 - Prob. 82PCh. 7 - Prob. 83PCh. 7 - Prob. 84PCh. 7 - Prob. 85PCh. 7 - Prob. 86PCh. 7 - Prob. 1.1CCh. 7 - Prob. 1.2CCh. 7 - Prob. 1.3CCh. 7 - Prob. 1.4C
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- Prove the following using strong induction. Suppose you are gifted a collection of 3n pokéballs; all of the the pokéballs have the same size and weight except for one which is slightly heavier, and otherwiselook and feel exactly the same as the others. You are tasked with identifying theheavy pokéball and have at your disposal a set of balancing scales which can be usedto compare the weights of two collections of pokéballs. The scales can show whetherthe two collections have the same weight, or can show which collection is heavier if theweights are different. Prove using strong induction that you can identify the heavypokéball out of 3n pokéballs using n weighing operations.arrow_forwardUniversity of Florida football programs are printed 1 week prior to each home game. Attendance averages 60,000 screaming and loyal Gators fans, of whom two-thirds usually buy the program, following a normal distribution, for $5 each. Unsold programs are sent to a recycling center that pays only 10 cents per program. The standard deviation is 5,000 programs, and the cost to print each program is $2. Refer to the standard normal table for z-values. a) What is the cost of underestimating demand for each program? Cs = $ (round your response to two decimal places). b) What is the overage cost per program? Co = $ c) How many programs should be ordered per game? programs should be ordered per game (round your response to the nearest whole number). d) What is the stockout risk for this order size? (round your response to two decimal places). Stockout risk = (round your response to four decimal places).arrow_forward
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