Name: Decision Analysis Strategy module/course
code:
PAR62007
student workloads:
510 minutes/week Credits (ECTS):
4.53 ECTS
Semester:
4 Frequency:
odd Duration:
1 x per semester Type of courses:
Tutorial/Lecture/Response Contact hours:
150
minutes/week
Independent Study:
360
minutes/week
Class size X
students:
30
Students 1 Prerequisites for participation:
2 Learning outcomes:
1. Students are able to understand decision making theory 2. Students are able to understand quantitive approaches 3. Students are able to understand business forecast 4. students are able to understand linear programming
5. Students are able to understand model in transport and assigment
3. Description:
This course is a course that generally explains the basic concepts of context theory, decision-making methods, and limited rational concepts.
In addition, this course will explain the concept of systemic thinking, problem recognition & problem analysis, design of alternative solutions.
4. Subjects aims/ Content:
1. Decision making theory:
a. types and stages in decision making b. decision making in uncertainty c. decision making at risk
d. decision trees and utility theory 2. Introduction to quantitative approaches a. problem solving and decision making
b. the role of quantitative techniques in business decision making c. model in decision making based on a quantitative approach 3. business forecast:
a. types in business forecasting
b. measurement accuracy of business forecasting c. business forecasting model is using time-series d. monitoring and control of business forecasting 4. Linear programming: introduction and methods a. introduction
b. formulate the problem c. Sensitivity analysis
d. Interpretation of the problem
5. linear programming: application in business a. linear programming applications in marketing b. linear programming applications in finance
c. linear programming applications in operations 6. models in transport and assignment
a. problems in transportation b. assignment problems c. delivery problem
7. Integer programming, Goal Programming, Non Linier Optimization Models
8. project scheduling:
a. pert/cpm b. pert/ cost 9. warehouse model:
a. Economic Order Quantity b. Inventory model with planning 10. Queing Theory
a. Waiting Line Cost
b. Characteristic f Queing System 11. Markov Process
a. Market Share Analysis b. Account Receivabe Analysis
5 Teaching Methods:
1. Lectures 2. Discussions 3. Group Work 4. Field studies
5. Collaborative learning group discussions
6 Assesment Methods:
1. Task
2. Mid- Term Exam 3. Final- Term Exam
7 1. David R. Anderson, JR ., et.al, 2012, Quantitive Method for Business , Prentice Hall (NJ)
2. Barry Render ., et.al, 2011, Quantitive Analysis for Management (11th Edition) Prentice-Hall (NJ)
3. David R. Anderson, JR., et.al, 2011 An Introduction to Management Science Quantitive Approaches to Decision Making, Prentice-Hall (NJ) 4. Listiorini
5. Kuntoro Mangkusubroto
