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MA609 Business Analytics and Data Intelligence

Question

Answered

Questions:

a.    Demonstrate advanced and integrated understanding of business and data Intelligence for organisational decision-making.
b.    Analyse critically, reflect on and synthesise techniques of data visualisation and data mining.
c.    Demonstrate advanced and integrated understanding of business analytical models. 
d.    Critically analyse, synthesise and reflect on decision analysis techniques to develop optimal strategy.
 
The assignment is designed to allow you to demonstrate effective business analytics skills using optimisation methods. You will need to use linear programming to formulate and model a problem, and Excel solver will be used to conduct the analytics and obtain the solutions. For the assignment, you are required to form a group of 3 students. Each group needs to select a company from the list below and use the company’s website to collect some background information and any type of preliminary information that could help in formulating the optimisation problem of the company. For example you may find some information about a given company’s operations, their branches/wholesales, level of production, etc., that could help you with formulating the problem. 

You will realise that there is no direct information about optimisation problems of the company of your choice, therefore you will need to use the company’s background information along with business analytics knowledge to formulate the problem. For instance for an airline the problem could be the assignment problem with assigning of terminals, airplanes, flights and pilots. Accordingly and based on the preliminary information that you collect, you need to make assumptions and build up a model for the company and solve the problem. 
 
The assignment should be formulated based on any of Transportation, Transhipment, or Assignment problems (you just need to do one out of these three options).  You can choose any company from the below list in airline or Metro train industries (for assignment problem), in manufacturing or port shipment industries (for transhipment or transportation problem). Below is a list of companies/organisations and possible approaches to problem solving:
Transportation problem by manufacturing and mining companies:
ADANI Mining (Transportation of minerals from origin to destination)
Honda (Transportation of parts from manufacturers to dealers)
Nissan (Transportation of parts from a manufacturer to dealer)
Transhipment problem by manufacturing companies:
Audi (Transportation of parts from manufacturers to dealers)
Mercedes (Transportation of parts from manufacturers to dealers)
BMW (Transportation of parts from manufacturers to dealers)
Assignment problem by companies/organisations:
Air Asia (assignment of terminals, airplanes, flights)
V-line (assignment of trains to different lines)
Melbourne royal hospital (assignment of nurses to different shifts)
St. Vincent hospital (assignment of surgeons, operating theatres based on availability)
 
Assignment requirement: 
•    choose a company from the list or assume your own company
•    make assumptions about the problem before formulating the problem and modelling (assumptions such as the type of operation, amount of manufacturing and shipment, cost, etc.)
•    Formulate a Linear Programming problem (LP) 

•    After formulating the problem define the following:
Define decision variables
Define objective functions
Define constraints

•    Implement the model 
Run the analysis using Excel solver 
Prepare Excel output of the model using excel solver
Run sensitivity analysis using excel solver and interpret the results
 
Assignment structure: 
•    Introduction to the company
•    Selection of the company assumptions about the problem before formulating the problem and modelling
•    Problem definition Identification and description of the problem to be analysed.

MA609 Business Analytics and Data Intelligence

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