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1. Name: Student Number: Introduction: This class is a tutorial session of building your first
optimization model in CPLEX software. Objective: The objective of this exercise is to enable the
students to build their first optimization model in CPLEX software in a structured method.
Instructions: Divide yor CPLEX model into three parts: 1. Parameter section: Definition of variables
types, names, sizes, and the input data for these variables should be defined. 2. Decision
variables section: Definition of decision variables types, names, and sizes performed in this stage.
3. Model Section: Objective function and constrains are defined in this stage. Example: Beaver
Creek Pottery Company is a small crafts operation run by a Native American tribal council. The
company employs skilled artisans to produce clay bowls and mugs with authentic Native American
designs and colors. The two primary resources used by the company are special pottery clay and
skilled labor. Given these limited resources, the company desires to know how many bowls and
mugs to produce each day in order to maximize profit. This is generally referred to as a product
mix problem type. This scenario is illustrated in figure 1The two products have the following
resource requirements for production and profit per item produced (i.e., the model parameters):
Resource Requirements There are 40 hours of labor and 120 pounds of clay available each day
for production. We will formulate this problem as a linear programming model by defining each
component of the model separately and then combining the components into a single model. The
steps in this formulation process are summarized as follows: Optimizati&