EIN 4401
LEAN PRODUCTION
HW # 3
DUE Nov. 5, 2014
1.Consider the data provided below for three products.
Product
A
B
C
Selling
price
($)
Unit direct
material
($)
Unit
direct
labor
($)
125
250
200
25
10
Heijunka1
Example1
A manufacturing facility produces 3 parts. Each part must be processed
through cut, mold, and assembly. Setup and processing times for each
part at each machine can be determined. S
SCHEDULING
PriorityRulesforDispatching
1)FirstComeFirstServed(FCFS)
2)ShortestProcessingTime(SPT)
3)EarliestDueDate(EDD)
4)LongestProcessingTime
Examples:
A
Jobs
Time
t
Due
date
B
C
D
E
6
8
2
6
8
18
3
Standard
Operations &
Improvements
OPERATOR
NUMBER
MODEL NUMBER
AND NAME
WORK
SEQUENCE
1234567890 master cylinder
STEP
NUMBER
1
2
STANDARD WORK
COMBINATION SHEET
Master cylinder machining
TIME
OPERAT
Group Project 1
4,9,14,19, 24
Instructions:
In your assigned canvas project group answer the following questions. If the answer to the
question requires calculations all work must be show. When comple
ASSIGNMENT # 10
Due by Friday, November 14th
Note: For all tests of hypotheses you must include each of the following: H a, H0, RR, TS, Pvalue, and a
conclusion written in terms of the problem with t
ASSIGNMENT # 11
Due by Friday, November 21st
Note: For all tests of hypotheses you must include each of the following: H a, H0, RR, TS, Pvalue, and a
conclusion written completely in terms of the pro
ASSIGNMENT # 11  SOLUTIONS
Due by Friday, November 21st
Note: For all tests of hypotheses you must include each of the following: H a, H0, RR, TS, Pvalue, and a
conclusion written completely in term
NEYMANPEARSON LEMMA AND MOST POWERFUL TESTS
In a statistical test, the hypotheses are H0 and Ha. We say we have a simple statistical hypothesis if the
hypothesis ( along with the assumptions ) comple
POWER FUNCTION
Consider a test of hypotheses concerning a parameter . The power function of this test is the function
defined by:
power( ) = P( rejecting H0 when the true parameter value is ). By look
RELATIONSHIP BETWEEN CONFIDENCE INTERVALS AND TWOTAILED TESTS
Consider the situation where we have a parameter, , and an unbiased estimator for the parameter, , and

Z=
also that
.
s
Suppose we cal
TESTS FOR MEANS
Test for the mean using a small sample ( assume a normal population and use the tdistribution ) or using a
large sample ( using the Central Limit Theorem we need no assumptions and we
TESTING HYPOTHESES CONCERNING VARIANCES
Suppose we have a random sample of size n from a normal population with variance 2 . Note: The
normality assumption is very important for this procedure to work
Exam I
STA 4322
Introduction to Statistics Theory
Fall 2013
Name:
UFID:
Instructions: There are 100 total points. You must show your work to receive credit. Read
each part of each question carefully.
STA 4322
Introduction to Statistics Theory
Fall 2012
Exam II
Name:
UFID:
Instructions: There are 100 total points. You must show your work to receive credit. Read
each part of each question carefully
SETUP OPERATIONS
A setup operation (or simply setup) is
the preparation or after adjustment that
is performed once before and one after
each lot is processed.
Basic Steps in a Setup
Operation
1.Prepar
KanbanCardCalculations
1.ProductionKanban
Process Initial Buffer
Process Final
Buffer
6
PROCESS
4
5
3
2
Kanban Ordering Post
1
Kanban Receiving Post
: Material Flow
.
: Production Kanban Flow
1.Produc
EIN 4451
HW #4
Due Nov. 21, 2014
Remember the Job Shop Scheduling Using TOC handout (Handout #151). Using the
same problem data, develop the entire job shop schedule by starting with Machine # 4 as
y
EIN 4451 Lean Production
1. Catalog Description: History of manufacturing. Principles, design, and analysis of
lean manufacturing systems. Small lot production, setuptime reduction, continuous
improv
EIN 4401
Sample Midterm 2 and Solutions
Closed book, Closed notes
1. (20 pts)
Consider the following information about a small molding company that
subcontracts to major toy manufacturers. A set of jo
SCHEDULING
PriorityRulesforDispatching
1)FirstComeFirstServed(FCFS)
2)ShortestProcessingTime(SPT)
3)EarliestDueDate(EDD)
4)LongestProcessingTime
Examples:
A
Jobs
Time
t
Due
date
B
C
D
E
6
8
2
6
8
18
3
Heijunka1
Example1
A manufacturing facility produces 3 parts. Each part must be processed
through cut, mold, and assembly. Setup and processing times for each
part at each machine can be determined. S
AGILEMANUFACTURING
AGILEMANUFACTURING
In 1994 Paul T Kidd wrote "Agile manufacturing is
something that our corporations have yet to fully
comprehend, never mind implement". He further claimed
that thi
A Road Map for Lean Manufacturing Journey
Waste elimination
TPM
Justintime
TQC
Kanban
Leveled/mixed
production
Five Whys
Short
production
lead time
Cycle time
control
Standardized
work
Autonomation
Different Production Systems
There are three basic production control
systems that are being practiced today
1. Push Systems (MRP, MRP II)
2. Pull Systems (Kanban, Conwip)
3. Mixed production systems