1.
The management of a local grocery store wishes to estimate the amount of time that customers are spending, on average, in its store and in a checkout line. The most obvious approach for determining this information is to simply record when a customer e

7.
Tuff-Rider, Inc., manufactures touring bikes and mountain bikes in a variety of frame sizes, colors, and component combinations. Identical bicycles are produced in lots of 100. The projected demand, lot size, and time standards are shown in the table.

Project
Textbook, P. 346: Analytics Exercise: Quality Management - Toyota
Case Part A: Toyota- Under-the-Radar Recall Responses
1.
Management
Named a managing director to
oversee all safety-related issues
Lowered its bar for requiring calls
Product Desi

Solution to Winter Park Hotel Case
1. Which of the two plans appears to be better? The current system has five clerks each with his
or her own waiting line. This can be treated as five independent queues each with an arrival time
of = 90/5 = 18 per hour.

FORECASTING
Anh Nguyen
Department of Operations Management and
Quantitative Methods
2
LECTURE OVERVIEW
Forecasting and Its Applications
Time Series Data and Components
Forecasting Techniques
Nave Approach
Moving Averages
Weighted Moving Averages
Expone

9. The Justin Time (JT) Corporation manufactures two models of small tractors on a single assembly line. Currently, the long range production plan calls for production of 1200 units of model A per month, and 600 units of model B per month, for the next ye

Global Operations Management
Variousfinancialdataforthepasttwoyearsfollow.Calculatethetotal
productivitymeasureandthepartialmeasuresforlabor,capital,andraw
materialsforthiscompanyforbothyears.Whatdothesemeasurestellyouabout
thiscompany?
a.
b.
c.
d.
Wha

Student
3/29/15
Waiting Lines
M/M/1 (Single Server Model)
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.
Data
Arrival rate (l)
3
Service rate (m)
N

Student
3/29/15
Waiting Lines
M/M/s
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.
Data
Arrival rate (l)
Results
Average server utilization(r)
Aver

Student
3/29/15
Waiting Lines
M/M/1 (Single Server Model)
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.
Data
Arrival rate (l)
2
Service rate (m)
N

Student
3/29/15
Waiting Lines
M/M/1 (Single Server Model)
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.
Data
Arrival rate (l)
3
Service rate (m)
N

Student
3/29/15
Waiting Lines
M/M/s with a finite population
The arrival rate is for each member of the population. If they go for service every 20 minutes then enter 3
(per hour).
Data
Arrival rate (l) per
customer
Results
0.05
Service rate (m)
Number of

Example 5
This is an M/M/1 system with = 10 per hour and = 15 per hour.
a. Wq = 0.1333 hour
b. Lq = 1.333
c. W = 0.2 hour
d. L = 2
e. P0 = 0.333
Example 6
This is an M/M/2 system with = 10 per hour and = 15 per hour.
a. Wq = 0.0083 hour
b. Lq = 0.083
c. W

Forecasting
120.5
120
119.5
119
118.5
Value
118
117.5
117
116.5
116
115.5
1
2
T ime
Demand
Forecast
3
Student
3/29/15
Forecasting
Weighted moving averages - 2 period moving average
Enter the data in the shaded area. Enter weights in
INCREASING order from

Student
3/29/15
Waiting Lines
M/M/1 (Single Server Model)
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.
Data
Arrival rate (l)
3
Service rate (m)
N

Project Management
Precedences; 1 time estimate
Gant t Chart
Enter the times in the appropriate column(s). Enter the precedences, one per column. (Do not try to use
commas).
Data
Activity
A
B
C
D
E
F
G
H
Immediate Predecessors (1 per column)
Pred 1
Pred 2

Student
3/29/15
Waiting Lines
M/M/1 (Single Server Model)
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.
Data
Arrival rate (l)
10
Service rate (m)

Student
3.11.15
Waiting Lines
Data
Arrival rate (l)
Service rate (m)
Number of servers
M/M/1 (Single Server Model)
2
4
1
Results
Average server utilization(r)
Average number of customers in the queue(Lq)
Average number of customers in the system(L)
Averag

MANUFACTURING PROCESSES
Anh Nguyen
Department of Operations Management &
Quantitative Methods
School of Economics and Business Administration
LECTURE OVERVIEW
Why is a product/service decision important?
Product strategy
Make-to-stock
Assemble-to-order

SERVICE PROCESSES
Anh Nguyen
Department of Operations Management &
Quantitative Methods
School of Economics and Business Administration
13-2
LECTURE OVERVIEW
Characteristics of service processes and designs
Service blueprinting
Queuing system component

CRITICAL PATH METHOD The earliest start for such an activity is zero ES = 0 The earliest finish is the activity duration EF = Activity duration Evaluate the ES of all the nodes for which EF of all the immediate predecessors has been determined ES = Max EF

1.
A single public health worker is inoculating children against
measles at a local clinic. On average of 6 children per hour are
expected to arrive, and inter-arrival times of the children follow an
exponential distribution. This worker can serve the chi

Article Review
Aligning Supply Chain Strategies with Product Uncertainties:
This article explored the relationship between product uncertainties and different
supply chain strategies. According to the article today's supply chain managers have been
blaste