Principles Of Operations Management
11th Edition
ISBN: 9780135173930
Author: RENDER, Barry, HEIZER, Jay, Munson, Chuck
Publisher: Pearson,
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Chapter 6, Problem 1CS
Summary Introduction
Case summary:
The SW university’s football team surged to great height since the arrival of its new coach five years ago. They were pushing for a new stadium. They discussed with the VP of administration for the new stadium. They conducted surveys on 50 random fans to know what is actually is in their minds. The surveys lead to a lot of information and data. The data will be useful in coming to a decision.
To analyze: The available data using two different tools and present the conclusions.
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(c) Use sensitivity analysis to determine how much the production and/or shipping cost per unit (in dollars per unit) would have to change to produce
additional units of the PT-100 in the Philippines plant.
It would have to decrease by more than $
per unit.
(d) Use sensitivity analysis to determine how much the production and/or shipping cost per unit (in dollars per unit) would have to change to produce
additional units of the PT-200 in the Mexico plant.
It would have to decrease by more than $
per unit.
. 4.5
The Carbondale Hospital is considering the purchase
of a new ambulance. The decision will rest partly on the antici-
pated mileage to be driven next year. The miles driven during the
past 5 years are as follows:
YEAR
MILEAGE
1.
3,000
4,000
3,400
4.
3,800
5.
3,700
a) Forecast the mileage for next year (6th year) using a 2-year
moving average.
b) Find the MAD based on the 2-year moving average. (Hint.
You will have only 3 years of matched data.)
c) Use a weighted 2-year moving average with weights of .4
and 6 to forecast next year's mileage. (The weight of .6 is
for the most recent year.) What MAD results from using this
approach to forecasting? (Ilint: You will have only 3 years of
matched data.)
d) Compute the forecast for year 6 using exponential smoothing,
an initial forecast for year of 3,000 miles, and a
.5. Px
IBM Global Center for Smarter Analytics
Case Analysis 7: Hamilton County
dropout rates and lagging performance required the
county to address these problems on the individual
student level.
Department of Education
But that meant first finding the students who needed
help, and doing so before their problems led them to
drop out of the Hamilton County school system. At the
end of the day, there's no one better positioned to
sense when the student is in academic trouble than a
teacher or counselor with whom students have a direct
relationship. The trouble is, warning signs are often
complex and cumulative in nature, thus escaping the
notice of frontline educators and administrators. Add
to that the everyday challenges of running a classroom,
and it's all the more understandable how problem
students can fly “under the radar" until it's too late.
PARIMENT
ZONE
TEDUCATION
Kelly recognized that early detection of at-risk
students required a more multidimensional view of
their progress,…
Chapter 6 Solutions
Principles Of Operations Management
Ch. 6.S - Prob. 1DQCh. 6.S - Define in statistical control.Ch. 6.S - Prob. 3DQCh. 6.S - Prob. 4DQCh. 6.S - Prob. 5DQCh. 6.S - Prob. 6DQCh. 6.S - Prob. 7DQCh. 6.S - Prob. 8DQCh. 6.S - Prob. 9DQCh. 6.S - Prob. 10DQ
Ch. 6.S - Prob. 11DQCh. 6.S - Prob. 12DQCh. 6.S - Prob. 13DQCh. 6.S - Prob. 14DQCh. 6.S - Prob. 15DQCh. 6.S - Prob. 16DQCh. 6.S - Prob. 17DQCh. 6.S - Prob. 18DQCh. 6.S - Prob. 19DQCh. 6.S - Prob. 1PCh. 6.S - Prob. 2PCh. 6.S - Prob. 3PCh. 6.S - Prob. 4PCh. 6.S - Prob. 5PCh. 6.S - Prob. 6PCh. 6.S - Prob. 7PCh. 6.S - Prob. 8PCh. 6.S - Prob. 9PCh. 6.S - Prob. 10PCh. 6.S - Prob. 11PCh. 6.S - Prob. 12PCh. 6.S - Prob. 13PCh. 6.S - Prob. 14PCh. 6.S - Prob. 15PCh. 6.S - Prob. 16PCh. 6.S - Prob. 17PCh. 6.S - Prob. 18PCh. 6.S - Prob. 19PCh. 6.S - Prob. 20PCh. 6.S - Prob. 21PCh. 6.S - Prob. 22PCh. 6.S - Prob. 23PCh. 6.S - Prob. 24PCh. 6.S - Prob. 25PCh. 6.S - Prob. 28PCh. 6.S - Prob. 29PCh. 6.S - Prob. 30PCh. 6.S - Prob. 32PCh. 6.S - Prob. 33PCh. 6.S - Prob. 34PCh. 6.S - Prob. 35PCh. 6.S - Prob. 36PCh. 6.S - Prob. 37PCh. 6.S - Prob. 39PCh. 6.S - Prob. 40PCh. 6.S - Prob. 41PCh. 6.S - Prob. 42PCh. 6.S - Prob. 43PCh. 6.S - Prob. 44PCh. 6.S - Prob. 45PCh. 6.S - Prob. 46PCh. 6.S - Prob. 48PCh. 6.S - Prob. 49PCh. 6.S - Prob. 50PCh. 6.S - Prob. 51PCh. 6.S - Prob. 52PCh. 6.S - Prob. 53PCh. 6.S - Prob. 54PCh. 6.S - Prob. 55PCh. 6.S - Prob. 1CSCh. 6.S - Prob. 2CSCh. 6.S - Prob. 1.1VCCh. 6.S - Prob. 1.2VCCh. 6.S - Prob. 1.3VCCh. 6.S - Prob. 2.1VCCh. 6.S - Prob. 2.2VCCh. 6.S - Prob. 2.3VCCh. 6.S - Prob. 2.4VCCh. 6 - Prob. 1EDCh. 6 - Prob. 1DQCh. 6 - Prob. 2DQCh. 6 - Prob. 3DQCh. 6 - Prob. 4DQCh. 6 - Prob. 5DQCh. 6 - Prob. 6DQCh. 6 - Prob. 7DQCh. 6 - Prob. 8DQCh. 6 - Prob. 9DQCh. 6 - Prob. 10DQCh. 6 - Prob. 11DQCh. 6 - Prob. 12DQCh. 6 - Prob. 13DQCh. 6 - Prob. 14DQCh. 6 - Prob. 15DQCh. 6 - Prob. 16DQCh. 6 - Prob. 17DQCh. 6 - Prob. 18DQCh. 6 - An avant-garde clothing manufacturer runs a series...Ch. 6 - Prob. 2PCh. 6 - Prob. 3PCh. 6 - Prob. 4PCh. 6 - Kathleen McFaddens restaurant in Boston has...Ch. 6 - Prob. 6PCh. 6 - Prob. 7PCh. 6 - Prob. 8PCh. 6 - Prob. 9PCh. 6 - Prob. 10PCh. 6 - Prob. 11PCh. 6 - Prob. 12PCh. 6 - Prob. 13PCh. 6 - Prob. 14PCh. 6 - Prob. 15PCh. 6 - Prob. 16PCh. 6 - Prob. 17PCh. 6 - Prob. 18PCh. 6 - Prob. 19PCh. 6 - Prob. 20PCh. 6 - Prob. 21PCh. 6 - Prob. 1CSCh. 6 - Prob. 2CSCh. 6 - Prob. 3CSCh. 6 - Prob. 1.1VCCh. 6 - Prob. 1.2VCCh. 6 - Prob. 1.3VCCh. 6 - Prob. 1.4VCCh. 6 - Prob. 2.1VCCh. 6 - Prob. 2.2VCCh. 6 - Prob. 2.3VCCh. 6 - Prob. 2.4VCCh. 6 - Prob. 3.1VCCh. 6 - Prob. 3.2VCCh. 6 - Prob. 3.3VCCh. 6 - Prob. 3.4VCCh. 6 - Prob. 3.5VC
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