Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 7, Problem 75P
Summary Introduction
To determine: The height and diameter that can minimize the surface area of the can.
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.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Water entering the curved pipe at A is
discharged at D. The pipe is rotating about
A at the constant angular velocity omega=7
rad/s, and the water has a constant speed
of v=19 m/s relative to the pipe. Now fill in
the blanks below with correct numbers.
Αγω
သ
B
0.54 m
r = 0.18 m
The magnitude of acceleration of the water just before it is discharged at D=
m/s^2
0.30 m
(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.
||
When it first debuted, Telsa was selling its Model 3 sedan for $35,000. The Model 3 was priced substantially less than Tesla’s other models at the time, however, it had similar quality and input costs. In charging such a low price, it is most likely that Tesla is trying to:
A. Create more value without capturing more value
B. Capture more value without creating more value
C. Create and capture more value
D. None of the above
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
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
- Calculate the moment of inertia the given shape with respect to x and y axes also with respect to center of gravity. Please can you solve it step by step and clearly ?.arrow_forwardMaximize z=4x+5y Subject to: x+y<or=4 x-y>or=-2 x<or=3 x>or=0, y>or=0arrow_forward2. An artillery piece and integral supporting base weigh 1800 lb and have a recoil spring for which k = 24000 lb/ft. When fired, the system recoils 40 in. A dashpot having a critical damping constant is the engaged on the return stroke. Determine: (a) The initial velocity of recoil (b) The damping constant (c) The position of the gun and base at 0.5 sec of the return stroke.arrow_forward
- Consider a piston-cylinder assembly that operates in isobaric process. Steam undergoes the process from 500°C to reach 1000°C. Select two (2) pressure values in the range of 10< P<45 MPa at which tarrow_forwardRefrigerant 134a is compressed adiabatically in a piston-cylinder assembly from saturated vapor at 0°C to final pressure of 0.7MPa (entropy is 0.9190kJ/kg). This process is isentropic compression. Determine the theoretical work input required per unit mass of refrigerant, in kJ/kg.arrow_forwardCompared 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 σarrow_forward
- do fastarrow_forwardFor 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 603.571 200.000arrow_forwardThe Elon Company manufactures parts for an aircraft company using three computerized numerical controlled (CNC) turning centers. The company wants to decide which machines are capable of producing a specific part with design specifications of 0.0960 inches ±0.018 inches. The machines have the following process parameters: Machine 1: X= 0.1095, σ = 0.0004 Machine 2: X = 0.0912, σ = 0.006 Machine 3: X = 0.0992, σ = 0.003 Determine which machines (if any) are capable of producing the products within the design specifications. I'm unable to draw a line above the X, show computations.arrow_forward
- A company is refurbishing smartphones out of used smartphones. They are able to produce three different quality levels (Gold, Silver, and Bronze). The revenue for selling x, y, and z units of the respective devices can be calculated as R(x, y, z) = 600x + 400y + 300z – x² – y? – 22. In order to refurbish the devices, they need to run through fine-tuned automated machines and have to pass a final quality check, which is done by employees. The required time for these two processes per quality level and the daily available machine and employee working times are displayed in the following table: machine minutes employee minutes Gold 60 Silver 40 Bronze 30 daily available time 800 100 The company wants to maximize the daily profit while using all available resources. Please calculate the critical points of that optimization problem. What is the respective revenue?arrow_forwardSolve (xex + y) dx − x dy = 0arrow_forwardBad simulations Explain why each of the followingsimulations fails to model the real situation properly:a) Use a random integer from 0 through 9 to representthe number of heads when 9 coins are tossed. b) A basketball player takes a foul shot. Look at a ran-dom digit, using an odd digit to represent a good shot and an even digit to represent a miss.c) Use random numbers from 1 through 13 to represent thedenominations of the cards in a five-card poker hand.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,