Instructions PLEASE READ THEM CAREFULLY
· The Assignment must be submitted on Blackboard (WORD format only) via allocated folder.
· Assignments submitted through email will not be accepted.
· Students are advised to make their work clear and well presented; marks may be reduced for poor presentation. This includes filling your information on the cover page.
· Students must mention question number clearly in their answer.
· Late submission will NOT be accepted.
· Avoid plagiarism, the work should be in your own words, copying from students or other resources without proper referencing will result in ZERO marks. No exceptions.
· All answered must be typed using Times New Roman (size 12, double-spaced) font. No pictures containing text will be accepted and will be considered plagiarism).
· Submissions without this cover page will NOT be accepted.
Assignment # 2:
Learning outcomes:
1. Enable the students to find some structured ways of dealing with complex managerial decision problems. (CLO1)
2. Introduce students to simple decision models and management science ideas that provide powerful and (often surprising) qualitative insights about a large spectrum of managerial problems. (CLO2)
3. Provide students with tools for deciding when and which decision models to use for the specific problems. (CLO3)
4. Give the students a feel for the kinds of problems that can be tackled using spreadsheet modeling and decision analysis. (CLO4)
5. Provide the students with more powerful ways of using spreadsheets which will be a ubiquitous tool in their managerial careers. (CLO5)
Assignment Questions (10 Marks)
Answer the following questions:
1) Define the different between linear and nonlinear optimization with example each? (6 marks)
Answer:
2)
A- How to calculate forecast error? (1 mark)
B- Calculate forecast error for December? (1 mark)
Month
Sales
Forecast
Error
September
5500
3000
———
October
7200
4150
———
November
8600
9100
———
December
9300
7900
Answer:
3)
A- How to calculate forecast weighted moving average? (1 mark)
B- Apply forecast weighted moving average formula for week 2. (1 mark)
(n = 2, W1 = 0.5, W2 = 0.8)
Week
Demand
1
7000
2
4000
3
3000
4
5000
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