Page 176 -

COURSE PRO FORMA

IMPORTANT:
Contents of this Pro Forma shall not be changed without the Senate’s approval for items indicated with *. Changes
to the other items can be approved at the Academy/Faculty/Institution/Centre level.
Academy/Faculty/Institute/Centre Engineering

Department Mechanical Engineering
Programme Bachelor of Engineering (Manufacturing)

Course Code* KCEP 3111
Course Title* Introduction to Industrial Engineering

Course Pre-requisite(s)/ Minimum Require- None
ment(s)

Student Learning Time (SLT)* 120 hours
Credit* 3

Course Learning Outcomes* At the end of the course, students are able to:

1) Describe the position of industrial engineering in contemporary context;
basics of industrial systems, and system cybernetics’; types of decision
environments, decision theories and their applications, and construct
the cost structures in manufacturing, and apply linear and non-linear
break-even analysis.
2) Apply the knowledge of linear mathematical programming including
transportation and assignment programming in allocating resources for
manufacturing.
3) Solve resources requirement problems by applying quantitative and
qualitative demand management and forecasting techniques in manu-
facturing.
4) Categorize the factors to be able to apply methods of evaluation of plant
location, plant layout and material handling, and justify the use of
shop floor scheduling methods under different production orders and
sequencing rules.

Transferable Skills None

Synopsis of Course Contents This course is aimed to deliver the contemporary relevant contents so that
the students understand the basics of Industrial engineering and apply the
fundamental knowledge in their professional life. The main contents of the
course are: Industrial Engineering as a profession, Industrial systems and
cybernetics, Decision making process, Decision theories, Cost concepts
and Break-even analysis, introduction to quantitative decision making tech-
niques and their applications – linear programming, transportation program-
ming, assignment programming, Demand management and Forecasting in
manufacturing, Plant location and Layout, Material handling, and
Scheduling.

Learning Strategies (lecture, tutorial, work-
shop, discussion, etc)
Lecture, tutorial, case study.

UM-PT01-PK03-BR003(BI)-S04