UEH UNIVERSITY COLLEGE OF BUSINESS SCHOOL OF INTERNATIONAL BUSINESS ANDMARKETING MANAGEMENT SCIENCE INDIVIDUAL PROJECT Subject: Management Science Class ID: 21C1BUS50304001 Lecturer: Ph.
Trang 1UEH UNIVERSITY COLLEGE OF BUSINESS SCHOOL OF INTERNATIONAL BUSINESS AND
MARKETING
MANAGEMENT SCIENCE INDIVIDUAL PROJECT
Subject: Management Science
Class ID: 21C1BUS50304001
Lecturer: Ph.D Ha Quang An
Full Name: Nguyen Phuoc Loc Student ID: 31201025486
Class: IBC04 Major: International Business
Trang 2Question 2: …………
Question 3: …………
Sum: ………
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LECTURER’S SIGNATURE
(Full Name and Signature)
Ha Quang An
Trang 3MANAGEMENT.SCIENCE.INDIVIDUAL.PROJECT.formulate.a.linear.programming.model.and.write.down.the.mathematical.model.for.this.problemMANAGEMENT.SCIENCE.INDIVIDUAL.PROJECT.formulate.a.linear.programming.model.and.write.down.the.mathematical.model.for.this.problemMANAGEMENT.SCIENCE.INDIVIDUAL.PROJECT.formulate.a.linear.programming.model.and.write.down.the.mathematical.model.for.this.problemMANAGEMENT.SCIENCE.INDIVIDUAL.PROJECT.formulate.a.linear.programming.model.and.write.down.the.mathematical.model.for.this.problemMANAGEMENT.SCIENCE.INDIVIDUAL.PROJECT.formulate.a.linear.programming.model.and.write.down.the.mathematical.model.for.this.problemMANAGEMENT.SCIENCE.INDIVIDUAL.PROJECT.formulate.a.linear.programming.model.and.write.down.the.mathematical.model.for.this.problemMANAGEMENT.SCIENCE.INDIVIDUAL.PROJECT.formulate.a.linear.programming.model.and.write.down.the.mathematical.model.for.this.problemMANAGEMENT.SCIENCE.INDIVIDUAL.PROJECT.formulate.a.linear.programming.model.and.write.down.the.mathematical.model.for.this.problem
Trang 4TABLE OF CONTENT
Linear Programming 2
Question a 2
Question b 4
Question c 4
Question d 5
Question e 5
Question f 6
Decision Making 8
Forecasting 10
Question a 10
Question b 10
Question c 10
Question d 11
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Trang 61 Linear Programming
a Formulate a linear programming model and write down the mathematical model for this problem
Decision variables are number of hours assigned to each consultant for respective project.
x ij = Number of hours consultant i is assigned to project j
i = A,B,C,D,E,F (Consultants)
j = 1,2,3,4,5,6,7,8 (Projects)
Objective is to maximize utilization of consultant skills and meeting clients’ needs based on ratings This can be accomplished by maximizing the product of the number of hours assigned and the ratings Since higher ratings are better, maximize the objective.
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Trang 8Project 1: ∑ i= A F x i 1 × (Hourly Rate) i < 100,000
Project 2: ∑ i= A F x i 2 × (Hourly Rate) i < 80,000
Project 3: ∑
i= A F
x i 3 × (Hourly Rate) i < 120,000
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Trang 10Project 4: ∑ i= A F x i 4 × (Hourly Rate) i < 90,000
Project 5: ∑ i= A F x i 5 × (Hourly Rate) i < 65,000
Project 6: ∑ i= A F x i 6 × (Hourly Rate) i < 85,000
Project 7: ∑ i= A F x i 7 × (Hourly Rate) i < 50,000
Project 8: ∑ i= A F x i 8 × (Hourly Rate) i < 55,000
Non-negativity constraint
X ij > 0
b Solve this problem using QM and SOLVER
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Trang 12c If the company want to maximize revenue while ignoring client preferences and
consultant compatibility, will this change the solution in B?
When the company maximize revenue while ignoring client preferences and consultant
compatibility, the solution in B will change.
d Create a sensitivity report What is the shadow price in this case?
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Trang 14e If consultant A and E change their hourly wage from $155 to $200 (A) and from $270 to
$200, will the solution change?
When consultant A and E change their hourly wage from $155 to $200 (A) and $270 to $200, the solution will change.
f By experience,
consultant B and E
is getting better at
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Trang 16their ability, which mean their capacity for every project now minimum start from 3
instead of 1 or 2, will the shadow price change?
The shadow price will not change.
The shadow price of Q.F:
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Trang 18The shadow price of Q.B:
2 Decision making
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Trang 20EMV of Local gas company ¿ 60 %× 300.000+40%× 150.000=240.000
EMV of Provider ¿ 60%× (−100.000)+40 %× 600.000=180.000
EMV of Corporation ¿ 60%× 120.000+40%× 170.000=140.000
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Trang 22The maximum profit is related to Locas gas company, so the decision must be Locas gas
company.
3 Forecasting
a Weighted Moving Average Method
The weight of April is 0.4
The weight of May is 0.2
The weight of June is 0.4
The forecasting demand for July ¿ 15×0.4+19× 0.2+18×0.4=17
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