Download (ISE5010) Decision Support Modeling for Courier and Freight

Subject Description Form
Subject Code
ISE5010
Subject Title
Decision Support Modeling for Courier and Freight Management
Credit Value
3
Level
5
Pre-requisite/Corequisite/Exclusion
Nil
Objectives
This subject provides students with
Intended Learning
Outcomes
Subject Synopsis/
Indicative Syllabus
1.
the concepts and experience in various modern decision support models
with applications in courier and freight management;
2.
the knowledge of scenario articulation values, strategy formulation, and
case examples.
Upon completion of the subject, students will be able to
a.
apply the basic skills and concepts of various decision support models in
business and logistics environments;
b.
recognize scenario articulation values, strategy formulation and
implementation;
c.
solve logistics problems using tools and methodologies associated with
decision support theories and applications.
1.
Introduction to Decision Support Models
Decision support models compared with other intelligent expert systems;
Pivot tables and expert systems with applications; Multidimensional
database and data analysis approaches; Online analytical processing;
Architecture and components of knowledge-based systems; Rule-based
reasoning principles and applications.
2.
Development of Organizational Strategies
Organizational strategies for supporting ES, KBS, and DSS; Management
involvement in DSS; Executive information system to support decision
making; Tools for DSS.
3.
Case Studies of Decision Support Systems
Application systems in courier and freight forwarding activities;
Production scheduling; Optimization examples in business and logistics
settings.
18.11.2013
Teaching/Learning
Methodology
A mixture of lectures, tutorial exercises, and case studies are used to deliver the
various topics in this subject, some of which are covered in a problem-based
format where the learning objectives are enhanced. Other topics are covered
through directed study to enhance the students’ “learning to learn” ability.
Some case studies, largely based on consultancy experience, are used to
integrate these topics and thus demonstrate to students how the various
techniques are interrelated and how they apply in real-life situations.
Teaching/Learning
Methodologies
Lecture
Assessment Methods
in Alignment with
Intended Learning
Outcomes
Intended Subject Learning Outcomes to be assessed
a
b
c



Case Study

Project

Specific assessment
methods/tasks
%
weighting



Intended subject learning
outcomes to be assessed
a
b
1. Assignments
20%


2. Project
30%


3. Case studies
20%

4. Test
30%

Total
100%
c




The test and project are designed to measure students' depth of knowledge on
the issues of decision support modeling for courier and freight management.
Assignments are designed to reflect students' understanding of the concepts and
skills taught on various decision support models in business and logistics
environments. Case studies are designed to appraise students' recommendations
in applying the skills taught, tools, and methodologies associated with decision
support theories and applications to solve logistics problems.
Student Study
Effort Expected
Class contact:

Lecture
18 Hrs.

Case studies/Seminars
12 Hrs.

Laboratory/Tutorial
9 Hrs.
Other student study effort:

18.11.2013
Preparation for case studies and assignments
33 Hrs.

Self-revision for project and test
Total student study effort
Reading List and
References
18.11.2013
34 Hrs.
106 Hrs.
1.
Akerkar, R, A and Sajja, P, S. 2010, Knowledge-Based Systems, Jones
and Bartlett, Priti Srinivas
2.
Turban, Efraim and Aronson, and JE. 2009, Decision Support Systems
and Intelligent Systems, Prentice Hall, Upper Saddle River, N.J.
3.
Lewis, J. 2008, Mastering Project Management: Applying Advanced
Concepts to Systems Thinking, Control & Evaluation, Resource
Allocation, 2nd edn, McGraw-Hill, New York
4.
Phillips-Wren, G, Ichalkaranje, Nikhil and Lakhmi, C, J. 2008, Intelligent
Decision Making: An AI-Based Approach, Springer-Verlag, Berlin,
Heidelberg
5.
Turban, E and Aronson, J, E. 2005, Decision Support Systems and
Intelligent Systems, 7th edn, Pearson Education, Upper Saddle River, N.J.
6.
Moore, J, H and Weatherford, L, R. 2001, Decision Modeling with
Microsoft Excel, 6th edn, Prentice Hall, Upper Saddle River, N.J.