CO-ORDINATOR:                                     Eng. A C Karima

Lectures:

Labs/Visits/Tutorials:

Texts:

1.         Simulation modelling and analysis Averill and Kelton

2.         Introduction to systems analysis Silver and Silver

3.         Introduction to Management Science Taylor III

Assessment:  2 continuous assessment tests    5%
reports and assignments                              20%
3 quizzes                                                     5%
Examination                                               70%
TOTAL                                                   100%

OBJECTIVES:

The course aims to provide students with:
1.  Analytical tools for use in assessing engineering projects.
2.  A capacity to carry out numerical decisions.
3.  Familiarity with computers and their applications.

Topic 1

Course administration and general introduction: observation; definition of the problem; model construction; model solution; implementation of results.

Topic 2

Introduction to linear programming: model formulation

Topic 3

Linear programming: examples
Applications of Linear programming

Topic 4

Linear programming: graphical solution

Topic 5

The Simplex solution method: converting model constraints; applications of the method.

Topic 6

Goal programming: model formulation; graphical interpretation of goal programming; the simplex method; applications of goal programming.

Topic 7

Probability: types of probability; statistical independence and dependence; expected value; normal distribution.

Topic 8

Decision analysis: decision making with and without probabilities;

Topic 9

CPM: Concurrent activities; the critical path; event scheduling; latest event times; activity slack.

Topic 10

PERT: Probability analysis; project crashing and time-cost trade-off; areas of application.