CMA493: OPERATION MANAGEMENT IN CONSTRUCTION

About This Course

Students are introduced to the topic of production management in this course, which combines scientific and numerical methodologies. Forecasting, planning for buildings and equipment, establishing the optimal work system, acquiring materials and equipment, assessing productivity levels, and operational research are the first steps in the production and operation process.

Topics In This Course

1. Introduction to Quantitative Analysis/Operational Research

1.1) The quantitative analysis approach

1.2) how to develop a quantitative analysis approach

1.3) the role of computers and Spreadsheet Models in the quantitative analysis approach

2. Probability Concepts and Application

2.1) Bayes’ Theorem

2.2) The Normal Distribution

2.3) The Exponential Distribution

2.4) The Poisson Distribution

3. Linear Programming: The Graphical and Simplex Method

3.1) Graphically solve any linear programming problem that has only two Variables-Maximization problems

3.2) Solving minimization problems with more than two constraints

4. Transportation Method

4.1) Setting up a transportation problem

4.2) Solving a problem using the shadow costs method

4.3) Solving an unbalanced transportation problem

4.4) Explanation on degeneracy in transportation problem

5. Assignment Model

5.1) Approach of the assignment mode

5.2) Using Koenig Method to solve minimization and balanced problem

5.3) Solving a maximization problem and unbalanced problem

6. Decision Theory

6.1) Explanation on the six steps in decision theory

6.2) Discussion on the types of Decision-Making Environment

6.3) Decision making under risk

6.4) Decision making under uncertainty

7. Decision Tree and Utility Tree

7.1) Explanation on the five steps of Decision Tree analysis

7.2) Develop accurate and useful decision trees

7.3) Solving a problem by computing expected monetary values (EMVs)Solving a more complex or multi-stage problem

7.4) Application of utility theory to solve problems using decision tree model

8. Introduction to Production Management

8.1) Overview of production management

8.2) Functions within business organization

8.3) Classifying production systems

8.4) Types of operation

9. Forecasting

9.1) Introduction Steps in the forecasting process

9.2) Approaches to forecasting

9.3) Forecasts based on judgement and opinion

9.4) Forecasts based on historical data Associative forecast techniques

9.5) Accuracy and control of forecasts

9.6) Elements of good forecasts

10. Design of Production System

10.1) Capacity Planning

10.2) Introduction Importance of capacity decisions

10.3) Defining and measuring capacity

10.4) Determinants of effective capacity

10.5) Determining of capacity requirements

10.6) Evaluating alternatives

10.7) Design of Work System Job Design

10.8) Work Measurement Labor standards and incentives

11. Operating and Controlling Production System

11.1) Aggregate Planning

11.2) Introduction and overview of aggregate planning

11.3) The concepts of aggregate planning

11.4) Purpose and scope of aggregate planning

11.5) Demand and capacity

11.6) Inputs to aggregate planning

11.7) Decision variables and costs

11.8) Techniques for aggregate planning