Course
code CB312
credit_hours 3
title Systems Analysis for Construction Engineers
arbic title
prequisites BA329
credit hours 3
Description/Outcomes Introduction to the mathematical models -The formulation of linear programming models - Solving of linear programming models using the graphical solution method - The simplex method - The transportation and assignment problems - Decision making under uncertainty, risk aversion, utility - Economic considerations for resource allocation, minimum cost model - Sensitivity analysis - changes in unit costs - changes in resource constraints.
arabic Description/Outcomes
objectives The course objective at introducing the student to the fundamentals of systems analysis and its application in construction engineering.
arabic objectives
ref. books Quantitative Techniques for Decision Making in Construction by Tang, S. L., Ahmad, I. U., Ahmed, S. M., and Ming, L. Publisher: Hong Kong University Press, Latest Edition.rnIntroduction to Operations Research by Ecker, J.G., Kupferschmid, M. Publisher: Krieger Publishing Co., Malabar, Fl., USA, Latest Edition.rn
arabic ref. books
textbook An Introduction to Management Science: Quantitative Approaches to Decision Making by Anderson, D. R., Sweeney, D. J. and Williams, T. A. Publisher: South-Western College Pub., Latest Edition
arabic textbook
objective set combined
content set combined
Course Content
content serial Description
1 Week No.1: Introduction to the mathematical models.
2 Week No.2: Formulation of the linear programming models.
3 Week No.3: Solving LP models using the graphical solution.
4 Week No.4: Solving LP models using the simplex method.
5 Week No.5: The transportation problems.
6 Week No.6: The assignment problems.
7 Week No.7: Utility and risk aversion - economic aspects.
8 Week No.8: Utility estimation and decision making based on utility optimization. Economic aspects.
9 Week No.9: Resource allowance, minimum cost models, maximum output models.
10 Week No.10: The optimization of resource utilization, and formulation and solving of minimum cost and maximum output models.
11 Week No.11: Resource allowance, minimum cost models, maximum output models, continued.
12 Week No.12: Introduction to feasibility studies: Definitions and importance of feasibility analysis.
13 Week No.13: The optimization of resource utilization, and formulation and solving of minimum cost and maximum output models.
14 Week No.14: Resource allowance, minimum cost models, maximum output models, continued.
15 Week No.15: The optimization of resource utilization, and formulation and solving of minimum cost and maximum output models.
16 Week No.16: Final Exam.