Hong Kong University of Science and Technology
Department of Industrial Engineering and Logistics Management
IELM 2150 Product Design and Communication
Course Vector: 2-0-3:3
Course Instructor: Prof. Ravi Goonetilleke
Room: 5548 Email: ravindra
Course Des
IELM 3270 Quality Engineering (Spring 2012)
Emily Au
Hong Kong University of Science and Technology
Department of Industrial Engineering and Logistics Management
IELM 3270 Quality Engineering
Course Instructor: Dr. Emily Au
Room: 5549
Lecture:
Mon / Wed (
Topic 1
What is a supply chain? - refers to all parties involved in and those
activities associated with the transformation and flow of goods and
services, from the sources of raw materials to end users, including
their attendant information and financial
IELM 4410,
Homework one,Due on Mar.12th (Submit
in class)
Using the sample data given in the above table. Under the following assumptions,
make a recommendation for how many units of each style Wally should make
during the initial phase of production. Ign
IELM 3300, Fall 2011
Syllabus
Jiheng Zhang
September 6, 2011
Industrial Data Systems
Course Description: The course will provide an introduction to databases in the modern
industry. Three aspects will be emphasized: (a) the design of databases, including
IELM 4130
System Simulation
Course Syllabus
2011-2012 Spring
Instructor: Xiaowei Zhang
Course Description
Basic concepts and algorithm of discrete-event simulation, generation of random variates,
modeling input distributions, statistical analysis of simul
IELM 4100: Integrated Production Systems
Spring 2012
Instructor:
Prof. Qian Liu
Contact Information: Room 5544, Tel: 23587118, E-mail: [email protected]
Class Hours: W. Fri.: 1:30pm 2:50pm. Venue: LT-F
Office Hours: Wednesday 3:00pm 4:30pm, or by appointment
IELM 120 Engineering Management
Instructor: Prof. Neville Lee Rm: 4545
TA: Mr. Billy Chan
Mr. Dai Bin
Mr. Yue Wang
Course Objectives
Fall 2007
Tel: 2358-7881 Email: [email protected]
Rm: 4223 Tel: 2358-8237 Email: [email protected]
Rm: 4223 Tel: 2358-8237 Email: d
IELM 3010
Operations Research I
COURSE SYLLABUS
2011-12 F ALL
INSTRUCTOR: X IAOWEI Z HANG
LOCATION:
TIME:
Rm 2303 (Lift 17-18)
4:30PM 5:50PM Wed & Fri
A. DECRIPTION
This course involves an i
Department of Industrial Engineering and Logistics Management
The Hong Kong University of Science and Technology
IELM 3450: Logistics Planning and Service Management
Day/Time/Location: Wed, Fri 1:30-2:50pm, Room 2406
Course Website: LMES, http:/lmes2.ust.
22
The Gravity Model (contd)
attractiveness and accessibility
characteristics of j
Trips between i and j = trips produced at i
attractiveness and accessibility
charateristics of all zones in the area
Zone j gets a portion of zone is
trip productions acco
25
Example 4.9 (contd)
Zone 1
(population 3,000)
Zone 2
(population 4,5000)
t1s=12
t2s=16
Site
Assume parameter c = 1.0
Zone population and travel
times between zones and site
t3s=15
Zone 3
(population 7,500)
25/148
23
The Gravity Model (contd)
A table that contains the inter-zonal impendence WIJ is
known as a skim table.
J
I
1
2
3
1
2
3
WIJ
In practice, a separate gravity model is developed for each
trip purpose.
Trip distribution is always given for a specific
13
Doubly constrained growth factor model
When information is available on the future number of
trips originating and terminating in each zone, it implies:
Different growth rates for trips in and out of each zone
Therefore, having two sets of growth f
17
The Gravity Model (contd)
Trip distribution takes the form
PI AJ
QIJ = k
Q IJ =Q ( PI ,AJ ,WIJ )
c
(WIJ )
The inter-zonal volume is the dependent variables; and the
constants k and c are the parameters of the model to be
estimated through calibrati
29
AJ FIJ K IJ
1
QIJ = PI
= PI pIJ FIJ =
c
A
F
K
J IJ IJ
(WIJ )
Solution
J
The gravity model calculations of the interchange
volumes are shown in tabular form for the two tripproducing zones (I =1 and I =3).
For I =1, P1 =1500:
W1J F1J =1/(WIJ)2 K1J A
16
The Gravity Model
M 1M 2
Based on Newtons law of gravitation F = k
r2
Gravity model for trade in international economics in 1962 by
Tinbergen.
Fij = G
MiM j
Dij
F is the trade flow, M is the GDP of
countries, D is the distance and G is a
constant.
12
Singly constrained growth factor model
(contd)
In a similar way, it will be possible to apply `destination
specific (J) to the corresponding columns in the trip
matrix
QIJ = J qIJ
for destination J specific factors
12/148
21
The Gravity Model (contd)
A set of inter-zonal socioeconomic adjustment factors KIJ
are introduced to incorporate effects that are not
captured by the limited number of independent variables
of the model
AJ FIJ
QIJ = PI
Ax FIx
x
K IJ
AJ FIJ K IJ
19
The Gravity Model (contd)
The gravity formula is often written alternatively as:
c
AJ FIJ
AJ (WIJ )
QIJ = PI
QIJ = PI
c
Ax FIx
A
W
x ( Ix )
x
x
where
(
)
FIJ =
1
(WIJ )
c
is known as the travel-time (or friction) factor.
19/148
14
Doubly constrained growth factor model
(contd)
N
QIJ = qIJ aI bJ satisfying QIJ
J =1
= PI ,
N
Q
Q ,I J
IJ
J =1
IJ
= AJ
Iterative process to find aI and bJ (Furness method, 1965)
Set all bJ=1.0 and find the correction factors aI that satisfy
the
18
The Gravity Model (contd)
Combining the above equations:
PI = kPI
Solving for k
Finally
x
QIx = k
Ax
(WIx )
Ax
k =
c
x (WIx )
(WIx )
c
PI = QIx
x
c
-1
AJ WIJc
QIJ = PI
c
A
W
(
)
x
Ix
x
(
PI Ax
)
The bracketed term is the proportion of the trips
26
Solution
(3,000)(1524)
= 381,000k
12
(4500)(1524)
Q2 s = k
= 428,625k
16
Q1s = k
Q3s = k
(7500)(1524)
= 762,000k
15
Suppose trip productions from
each zone is proportional to
the population living in that
zone, so we simply replace Pi
with populatio
20
The Gravity Model (contd)
c
A
W
J ( IJ )
QIJ = PI
c
A
W
x ( Ix )
x
(
)
1) The numerical value of this function would not be affected if
all attraction term (Ax) were multiplied by a constant. This
means that the attraction term can measure the REL
24
Example 4.9
Perform a localized application of the basic gravity
model for trips between a proposed site (attractor)
and three surrounding zones. The sites receives
1,524 incoming trips during the morning rush hour.
Assume that all incoming trips
28
Example 4.10
The target-year production and relative attractiveness of the
four-zone city have been estimated to be as follows:
Zone
Productions
Relative
I\J
1
2
3
4
Attractiveness
1
5
10
15
20
1
15000
0
2
10
5
10
15
2
0
3
3
15
10
5
10
3
2600
2
4
20