▪️ Job Code: 222712W
▪️ Job Details:
Info: Uni Optimisation and Simulation for Decision Making (Excel) @ 165 Bukit Batok West Avenue 8 (nearest MRT station: Bukit Batok) on Weekdays after 7pm, Weekends to be confirmed [1 lesson/week, 2 hrs/lesson]

Requirement: An experienced PART-TIME tutor for this SUSS female student who is taking Logistics and Supply Chain. Student has no prior knowledge on this module. Tutor to commit for at least 3-4 months. Earliest start date: 16-Jan-23.

Learning Outcome:
1. Apply linear programming models to support decision-making in the industry.
2. Solve integer linear programming models to optimise various business decisions.
3. Appraise the role of nonlinear programming and metaheuristics in solving complex supply chain problems.
4. Analyse different simulation tools for various complex problems.
5. Construct simulation models to solve business problems.
6. Demonstrate how to make decisions under uncertainty.

Rate: $60-$65/hr. Justify asking hourly rate with qualification, experience, and track record. Do not over quote!

Agency fee: 30% OF THE FIRST 4 REGULAR LESSONS' WORTH


To Apply go to: https://t.me/FTassignments/7805
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[HOW TO APPLY?]

TELEGRAM your DETAILED tutor profile to +65 8777-3558 or @FamilyTutor via the following format:

1. Code:

2. Full Name + Age + Gender + Race

3. Part-Time/Full-Time/Ex- or Current MOE Tutor

4. Poly Diploma/Uni Major + all related grades attained for PSLE/O & A Levels/IB

5. In the last 2-3 years, no. of students taught for this level (or higher) & subject

6. Notable grade improvements seen in your students for this level (or higher) & subject e.g. D to A within 5 months, Fail to A1 within 10 months

7. Detailed tutoring method/philosophy for this level (or higher) & subject:

8. A decent casual or professional photo of yourself

9. FULL availability (e.g. Mon-Fri 10am-7pm + Sat 5pm-6pm + Sun 10am-4pm):

10. Asking hourly rate (do not over-quote!)

Only tutors who are eligible in and serious about this assignment will be strongly recommended to the family!