The document provides solutions to various problems related to operations management concepts like assembly line balancing, facility layout, and queuing theory. For problem 1, the key outputs and cycle times are calculated for a production line with a given operating time. Problem 2 involves determining the cycle time needed to meet a desired output rate. Subsequent problems involve balancing tasks across work stations for different assembly line scenarios. The last few problems deal with determining optimal facility layouts based on interdepartmental workflow.
Diseno en ingenieria mecanica de Shigley - 8th ---HDes
descarga el contenido completo de aqui http://paralafakyoumecanismos.blogspot.com.ar/2014/08/libro-para-mecanismos-y-elementos-de.html
1. (5 pts) Which of these graphs represent a one-to-one function .docxlindorffgarrik
1. (5 pts) Which of these graphs represent a one-to-one function?
Answer(s): ____________
(
no explanation required
.)
(There may be more than one graph that qualifies.)
(A)
(B)
(C)
(D)
2. (5 pts) Convert to a logarithmic equation: 7
x
= 2401.
(no explanation required)
2. ______
A.
B.
C.
D.
3. (10 pts) Based on data about the growth of a variety of ornamental cherry trees, the following logarithmic model about these trees was determined:
h
(
t
) = 6.47 ln(
t
) + 2.83,
where
t
= age of tree in years and
h
(
t
) = height of tree, in feet.
(Note that "ln" refers to the natural log function) (explanation optional)
Using the model,
(a) At age 3 years, how tall is this type of ornamental cherry tree, to the nearest tenth of a foot?
(b) At age 12 years, how tall is this type of ornamental cherry tree, to the nearest tenth of a foot?
4.
(5 pts)
Solve the equation.
Check
all proposed solutions.
Show work in solving and in checking, and state your final conclusion.
5. (10 pts)
(a)
_______ (fill in the blank)
(b) Let
State the exponential form of the equation.
(c) Determine the numerical value of
, in simplest form. Work optional.
6. (10 pts) Let
f
(
x
) = 2
x
2
–
x
– 10 and
g
(
x
) = 3
x
+ 1
(a) Find the composite function
and simplify the results. Show work.
(b) Find
. Show work.
7. (15 pts) Let
(a) Find
f
-
1
, the inverse function of
f
.
Show work
.
(b) What is the domain of
f
? What is the domain of the inverse function?
(c) What is
f
(2) ?
f
(2) = ______
work/explanation optional
(d) What is
f
-
1
( ____ ), where the number in the blank is your answer from part (c)?
work/explanation optional
8. (15 pts) Let
f
(
x
) =
e
x
– 1
+ 4.
Answers can be stated without additional work/explanation.
(a) Which describes how the graph of
f
can be obtained from the graph of
y
=
e
x
? Choice: ________
A. Shift the graph of
y
=
e
x
to the left by 1 unit and up by 4 units.
B. Shift the graph of
y
=
e
x
to the right by 1 unit and up by 4 units.
C. Reflect the graph of
y
=
e
x
across the
x
-axis and shift up by 4 units.
D. Reflect the graph of
y
=
e
x
across the
y
-axis and shift up by 4 units.
(b) What is the domain of
f
?
(c) What is the range of
f
?
(d) What is the horizontal asymptote?
(e) What is the
y
-intercept? State the approximation to 2 decimal places (i.e., the nearest hundredth).
(f) Which is the graph of
f
?
GRAPH A GRAPH B GRAPH C GRAPH D
NONLINEAR MODELS - For the latte.
Diseno en ingenieria mecanica de Shigley - 8th ---HDes
descarga el contenido completo de aqui http://paralafakyoumecanismos.blogspot.com.ar/2014/08/libro-para-mecanismos-y-elementos-de.html
1. (5 pts) Which of these graphs represent a one-to-one function .docxlindorffgarrik
1. (5 pts) Which of these graphs represent a one-to-one function?
Answer(s): ____________
(
no explanation required
.)
(There may be more than one graph that qualifies.)
(A)
(B)
(C)
(D)
2. (5 pts) Convert to a logarithmic equation: 7
x
= 2401.
(no explanation required)
2. ______
A.
B.
C.
D.
3. (10 pts) Based on data about the growth of a variety of ornamental cherry trees, the following logarithmic model about these trees was determined:
h
(
t
) = 6.47 ln(
t
) + 2.83,
where
t
= age of tree in years and
h
(
t
) = height of tree, in feet.
(Note that "ln" refers to the natural log function) (explanation optional)
Using the model,
(a) At age 3 years, how tall is this type of ornamental cherry tree, to the nearest tenth of a foot?
(b) At age 12 years, how tall is this type of ornamental cherry tree, to the nearest tenth of a foot?
4.
(5 pts)
Solve the equation.
Check
all proposed solutions.
Show work in solving and in checking, and state your final conclusion.
5. (10 pts)
(a)
_______ (fill in the blank)
(b) Let
State the exponential form of the equation.
(c) Determine the numerical value of
, in simplest form. Work optional.
6. (10 pts) Let
f
(
x
) = 2
x
2
–
x
– 10 and
g
(
x
) = 3
x
+ 1
(a) Find the composite function
and simplify the results. Show work.
(b) Find
. Show work.
7. (15 pts) Let
(a) Find
f
-
1
, the inverse function of
f
.
Show work
.
(b) What is the domain of
f
? What is the domain of the inverse function?
(c) What is
f
(2) ?
f
(2) = ______
work/explanation optional
(d) What is
f
-
1
( ____ ), where the number in the blank is your answer from part (c)?
work/explanation optional
8. (15 pts) Let
f
(
x
) =
e
x
– 1
+ 4.
Answers can be stated without additional work/explanation.
(a) Which describes how the graph of
f
can be obtained from the graph of
y
=
e
x
? Choice: ________
A. Shift the graph of
y
=
e
x
to the left by 1 unit and up by 4 units.
B. Shift the graph of
y
=
e
x
to the right by 1 unit and up by 4 units.
C. Reflect the graph of
y
=
e
x
across the
x
-axis and shift up by 4 units.
D. Reflect the graph of
y
=
e
x
across the
y
-axis and shift up by 4 units.
(b) What is the domain of
f
?
(c) What is the range of
f
?
(d) What is the horizontal asymptote?
(e) What is the
y
-intercept? State the approximation to 2 decimal places (i.e., the nearest hundredth).
(f) Which is the graph of
f
?
GRAPH A GRAPH B GRAPH C GRAPH D
NONLINEAR MODELS - For the latte.
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
Hydrologic analysis and design 4th edition mc cuen solutions manualMacionis99
Hydrologic Analysis and Design 4th Edition McCuen Solutions Manual
Full download: https://goo.gl/2LAVj2
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This is a detailed review of ACM International Collegiate Programming Contest (ICPC) Northeastern European Regional Contest (NEERC) 2016 Problems. It includes a summary of problem and names of problem authors and detailed runs statistics for each problem.
Problem statements are available here:
http://neerc.ifmo.ru/information/problems.pdf
The beginning of the following video has the actual review (in Russian): https://www.youtube.com/watch?v=fN25KkNYsjA
enjoy the formulas and use it with convidence and make your PT3 AND SPM more easier..togrther we achieve the better:)
good luck guys and girls...simple and short ans also sweet formulas..
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
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Hydrologic Analysis and Design 4th Edition McCuen Solutions Manual
Full download: https://goo.gl/2LAVj2
People also search:
hydrologic analysis and design 3rd edition pdf download
hydrologic analysis and design 4th edition pdf
hydrologic analysis and design 4th edition pdf download
hydrologic analysis and design solutions manual pdf
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hydrologic analysis and design 2nd edition pdf
hydrologic analysis and design mccuen
hydrologic analysis pdf
B.Sc (Pass) Nautical & Engineering Model Question 2 Mathematics Second Paper
(Differential Calculus, Integral Calculus, Two-dimensional & Three- dimensional Geometry)
JEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory BasedMiso Study
JEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory Based, which helps you to understand the chapter in easy way also downaload sample papers and previous year papers and practice to solve the question on time. Download at www.misostudy.com.
This is a detailed review of ACM International Collegiate Programming Contest (ICPC) Northeastern European Regional Contest (NEERC) 2016 Problems. It includes a summary of problem and names of problem authors and detailed runs statistics for each problem.
Problem statements are available here:
http://neerc.ifmo.ru/information/problems.pdf
The beginning of the following video has the actual review (in Russian): https://www.youtube.com/watch?v=fN25KkNYsjA
enjoy the formulas and use it with convidence and make your PT3 AND SPM more easier..togrther we achieve the better:)
good luck guys and girls...simple and short ans also sweet formulas..
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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1. Chapter 6 Solutions
1. OT = 450 minutes
a. Minimum cycle time = length of longest task, which is 2.4 minutes.
Maximum cycle time = task times = 18 minutes.
b. Range of output:
units
25
18
450
:
.
min
18
@
units
5
.
187
4
.
2
450
:
.
min
4
.
2
@
c. 8
to
rounds
which
,
5
.
7
450
)
18
(
5
.
187
OT
t
Dx
N
d. cycle
per
minutes
6
.
3
125
450
CT
CT,
for
Solving
CT
OT
Output
e. Potential output:
(1) units
50
9
450
CT
OT
:
.
min
9
CT
(2) units
30
15
450
:
.
min
15
CT
2.
Desired output = 33.33 units per hour
Operating time = 60 minutes per hour
unit
per
minutes
80
.
1
hour
per
units
33
.
33
hour
per
minutes
60
output
Desired
time
Operating
CT
Solutions (continued)
a.
Task Number of following
tasks
Positional
Weight
A 7 6
0.6
0.7
0.8
0.5
1.0
0.5
0.5
1.4
c
f
h
g
d
e
b
a
2. B 6 4.6
C 2 1.6
D 2 2.2
E 2 2.3
F 1 1.0
G 1 1.5
H 0 0.5
Assembly Line Balancing Table (CT = 1.8)
Work Station Task Task Time Time Remaining
Feasible tasks
Remaining
I A 1.4 0.4 –
II B 0.5 1.3 C, D, E
E 0.8 0.5 –
III D 0.7 1.1 C
C 0.6 0.5 F
F 0.5 0 –
IV G 1.0 0.8 H
H 0.5 0.3 –
b. Assembly Line Balancing Table (CT = 1.8)
Work Station Task Task Time Time Remaining
Feasible tasks
Remaining
I A 1.4 0.4 –
II B 0.5 1.3 C, D, E
E 0.8 0.5 –
III D 0.7 1.1 C
C 0.6 0.5 F
F 0.5 0 –
IV G 1.0 0.8 H
H 0.5 0.3 –
3. Solutions (continued)
c. %
3
.
83
2
.
7
0
.
6
stations
of
no.
x
CT
time
Total
Efficiency
3.
Desired output = 4
Operating time = 56 minutes
unit
per
minutes
14
hour
per
units
4
hour
per
minutes
6
5
output
Desired
time
Operating
CT
Task # of Following tasks Positional Weight
A 4 23
B 3 20
C 2 18
D 3 25
E 2 18
F 4 29
G 3 24
H 1 14
I 0 5
3
a
d
f
7
5
2
b
4
c
4
e
9
h
5
i
6
g
4. Solutions (continued)
a. First rule: most followers. Second rule: largest positional weight.
Assembly Line Balancing Table (CT = 14)
Work Station Task Task Time Time Remaining
Feasible tasks
Remaining
I F 5 9 A,D,G
A 3 6 B,G
G 6 – –
II D 7 7 B, E
B 2 5 C
C 4 1 –
III E 4 10 H
H 9 1 –
IV I 5 9 –
b. First rule: Largest positional weight.
Assembly Line Balancing Table (CT = 14)
Work Station Task Task Time Time Remaining
Feasible tasks
Remaining
I F 5 9 A,D,G
D 7 2 –
II G 6 8 A, E
A 3 5 B,E
B 2 3 –
III C 4 10 E
E 4 6 –
IV H 9 5 I
I 5 –
c. %
36
.
80
56
45
stations
of
no.
x
CT
time
Total
Efficiency
Solutions (continued)
5. 4. a, b
a. l.
2. Minimum Ct = 1.3 minutes
Task Following tasks
a 4
b 3
c 3
d 2
e 3
f 2
g 1
h 0
Work Station Eligible Assign Time Remaining Idle Time
I a A 1.1
b,c,e, (tie) B 0.7
C 0.4
E 0.3 0.3
II d D 0.0 0.0
III f,g F 0.5
G 0.2 0.2
IV h H 0.1 0.1
0.6
3. percent
54
.
11
)
3
.
1
(
4
6
.
CT
x
N
time)
(idle
percent
Idle
4. day
/
units
)
323
to
rounds
(
1
.
323
cycle
/
.
min
3
.
1
min./day
420
CT
OT
Output
a b d
c
f
1.
e g
h
1.
6. Solutions (continued)
b. 1. inutes
m
3
.
2
2
4.6
N
time
Total
CT
,
6
.
4
time
Total
2. Assign a, b, c, d, and e to station 1: 2.3 minutes [no idle time]
Assign f, g, and h to station 2: 2.3 minutes
3. day
/
units
6
.
182
3
.
2
420
CT
OT
Output
4. day
/
units
30
.
91
cycle
/
.
min
.6
4
min./day
420
Output
4.6.
is
Ct
Maximum
5. a.
b. The minimum cycle time = maximum task time =1.2 minutes
The maximum cycle time = .2 +.4 +.2 +.4 +1.2 +1.2 + 1.0 = 4.6 minutes
CT)
d
(calculate
minutes
2
day
/
nits
u
40
2
min./day
480
output
OT
CT
c. stations
3)
to
(rounds
3
.
2
0
.
2
4.6
CT
t
N
d.
Task Number of following
tasks
A 4
B 3
C 2
D 2
E 1
F 1
G 0
a
b
d
c
f
e
g
.2 .4
.2 1.2
1.0
1.2
.4
7. Solutions (continued)
Assembly Line Balancing Table (CT = 2 minutes)
Work Station Task Task Time Time Remaining
Feasible tasks
Remaining
I A 0.2 1.8 B,D
B 0.4 1.4 C, D
D 0.4 1.0 C
C 0.2 0.8 –
II E 1.2 0.8 –
III F 1.2 0.8 –
IV G 1.0 1.0 –
e. %
5
.
42
0
.
8
4
.
3
)
2
)(
4
(
0
.
1
8
.
8
.
8
.
percent
Idle
%
5
.
57
)
2
)(
4
(
6
.
4
E
6. a.
(1,2)
Positional weights
in parentheses
0.1
(3.9)
0.2
(3.8)
0.9
(3.6)
0.6
(2.7)
0.1
(2.2)
0.2
(2.1)
0.4
(1.9)
0.1
(1.5)
0.2
(1.4)
0.7
(1.2)
a b c d
e f g h i j
k
l
(0.5)
(0.2)
0.3
0.2
CT = 1.5
8. Solutions (continued)
6. b. Using both the greatest positional weight and the greatest number of following
tasks rules result in the following balance.
Assembly Line Balancing Table (CT = 1.5 minutes)
Work Station Task Task Time Time Remaining
Feasible tasks
Remaining
I A 0.1 1.4 B
B 0.2 1.2 C
C 0.9 0.3 E
E 0.1 0.2 –
II D 0.6 0.9 F
F 0.2 0.7 G
G 0.4 0.3 H
H 0.1 0.2 I
I 0.2 – –
III J 0.7 0.8 K
K 0.3 0.5 L
L 0.2 0.3 –
Total idle time = 0.2 + 0 + 0.3 = 0.5
c. For positional weights and greatest number of following tasks
%
11
.
11
)
5
.
1
(
3
100
x
5
.
0
rate
Idle
7. a.
a b c
e
d
h
g
f
i j
9. Solutions (continued)
b.
500
7(60)
D
OT
CT .84 minutes = 50.4 seconds (maximum cycle time)
Minimum cycle time = maximum task time = 45 seconds (results in 560 units of
production)
c. stations
4
or
83
.
3
4
.
50
193
CT
t
N
d.
Task Number of followers *PW
A 6 106
B 5 61
C 4 50
D 4 106
E 3 56
F 2 30
G 2 31
H 2 29
I 1 19
J 0 10
*Positional weight
CT = 50 seconds
Work Station Task Task Time Time Remaining
Feasible tasks
Remaining
I A 45 5 –
III D 50 – –
III B 11 39 C, E
E 26 13 C, F
C 9 4 –
IV G 12 38 H, F
F 11 27 H
H 10 17 I
I 9 8 –
V J 10 40 –
10. Solutions (continued)
e. %
8
.
22
)
5
)(
50
(
193
1
I
8.
b. minutes
0
.
2
400
200
CT
Station Tasks Time Idle/Time
1 a,b 1.9 .1
2 c,d 1.9 .1
3 e,f,i 2.0 0
4 g,h,j 1.5 .5
5 k,m 1.2 .8
1.5
c.
Tasks
Positional
Weight
a 8.5
b 4.6
c 4.4
d 4.2
e 3.2
f 3.5
g 1.9
h 1.5
i 2.5
j 2.0
k 1.2
m .3
a c e j k m
g h
d f i
b
11. Solutions (continued)
Work Station Task Task Time Time Remaining
Feasible tasks
Remaining
I a .5 1.5 b, c, d
b 1.4 .1 –
II c 1.2 .8 d, e
d .7 .1
III f 1.0 1.0 e, i
e .5 .5 i, g
i .5 0 –
IV j .8 1.2 g
g .4 .8 h
h .3 .5 –
k .9 1.1 m
m .3 .8 –
Total idle time = .1 + .1 + 0 + .5 + .8 = 1.5 minutes
d. Balance delay: part b and c 1.5/10 = 15%
9. 1 4 3
2 5 6
11. 1 5 4
3 8 7
6 2
10.
1
2
3
4
5
6
A
o
o
o
A
X
o
o
o
o
A
o
o
o
o
12. Solutions (continued)
12. 3 1 4 8
Or
5 1 4 8
Or
5 1 4 6
5 2 7 6 3 2 7 6 3 2 7 8
5 1 7 8
Or
3 1 7 8
Or
3 1 4 6
3 2 4 6 5 2 4 6 5 2 7 8
3 1 7 6
Or
5 1 7 6
5 2 4 8 3 2 4 8
13. 3 1 8
9 7 4
5 2 6
14. First rank or arrange the number of trips from high to low.
Department Number of trips
2-4 90
1-4 80
3-4 55
2-3 40
From this we can see that departments 2 and 4 have the greatest interdepartmental work
flow, so they should be close, perhaps locations C and B. Next, we can see that the work
flows for 1 and 4, and 3 and 4 are high. Therefore department 4 has to be located at a
central location (location B), while department 2 is in location C, department 1 is in
location A, and department 3 is in location D.
Distance * Number of trips matrix
Department 1 2 3 4
1 – (10 x 80) = 800 (20x 70) =
1400
(80 x 40) =
3200
2 – – (40 x 60) =
2400
(90 x 40) =
3600
3 – – – (55 x 50) =
2750
13. 4 – – – –
Total cost = $14,150
Solutions (continued)
15. No. of trips
(two way)
Order of
Assignment
1–2 10
1–3 5 A reasonable (intuitive) set of assignments is:
1–4 90 11
1–5 370 1 A
#1
B
#5
1–6 135 6
1–7 125 7 C
#7
D
#4
E
#3
1–8 0
2–3 360 2 F
#6
G
#2
H
#8
2–4 120 8 (tie)
2–5 40
2–6 115 9 This set of assignments has a total cost of $143,650
per day.
2–7 45
2–8 120 8 (tie)
3–4 350 3 Slight variations would also be reasonable,as long as
departments 2, 4 and 8 are close to 3, 4 is close to 5,
and 5 is close to 1.
3–5 110 10
3–6 40
3–7 20
3–8 200 4
No. of trips
(two way)
Order of
Assignment
4–5 190 5 (tie)
4–6 70 12
4–7 50
4–8 190 5 (tie)
5–6 10
5–7 40
5–8 10
6–7 50
6–8 20
7–8 20
14. Solutions (continued)
16.
No. of trips
(two way)
1–2 0
1–3 40 A reasonable (intuitive) assignment is:
1–4 110 3–A, 5–B, 1–C, 4–D, 6–E, 2–F.
1–5 80 An equivalent solution is the reverse order:
1–6 50 2–F, 6–B, 4–C, 1–D, 5–E, 3–F.
2–3 0
2–4 50
2–5 40
2–6 120
3–4 10
3–5 250
3–6 10
4–5 40
4–6 90
5–6 20
(Ignore Reception since all locations are the same distance from it.)
17. Two-way trips can not be used here because of the one-way route restriction.
Consequently, students are forced to develop a heuristic that will yield reasonable
assignments. One possible heuristic is the following:
Beginning with Department 1, identify the department which receives the greatest
number of trips from that department (e.g.,40 to Department 2). Assign that
department to the next location counter-clockwise.
For that department (e.g., 2) identify the department which receives the greatest
number of trips (e.g., 5) and assign it to the next position.
Continue in this manner until all departments have been assigned.
The resulting set of assignments forthis problem is:A–1,2–B,5–C,4–D,9–E,8–F,6–G,
10–H,7–I,3–J.
Students may raise the question about return trips to the original departments after
delivery, which would seem to make all locations comparable. Three possible
explanations are:
1. Return trips cost less because they are unloaded.
2. Unloaded trips may be permitted to move clockwise.
3. Material handlers (?) pick up new load at each new department and move it to the
next department.
(The last explanation seems to appeal most to students.)
Solutions (continued)
Work Station Task Task Time Time Remaining Feasible tasks
15. Remaining
I D 50 0.4 –
II A 45 5.4 –
III E 26 24 B ,F
B 11 13 C, F
F 11 2.4 –
IV C 9 41 G, H
G 12 29 H
H 10 19 I
I 9 10 J
J 10 0.4