## Step 1: Define the symbolic representation of the variables
The variables are 'hours worked by Dale', 'hours worked by Ringo', 'hours worked by Peggy', 'hours worked by Hank' which can be represented as $x_0$, $x_1$, $x_2$, $x_3$ respectively.

## Step 2: Convert the objective function into a symbolic representation
The objective function to maximize is $5x_0 + 3x_1 + 4x_2 + 8x_3$.

## Step 3: Define the constraints in symbolic notation
- The total combined dollar cost per hour from hours worked by Peggy plus hours worked by Hank must be 24 at minimum: $19x_2 + 11x_3 \geq 24$
- The total combined dollar cost per hour from hours worked by Dale plus hours worked by Ringo should be greater than or equal to 22: $20x_0 + 23x_1 \geq 22$
- 5 times the number of hours worked by Dale, plus -2 times the number of hours worked by Peggy should be at least zero: $5x_0 - 2x_2 \geq 0$
- The total combined paperwork competence rating from hours worked by Dale, and hours worked by Peggy has to be 97 at a maximum: $21x_0 + 13x_2 \leq 97$
- The total combined paperwork competence rating from hours worked by Dale, and hours worked by Hank has to be at most 101: $21x_0 + 29x_3 \leq 101$
- The total combined paperwork competence rating from hours worked by Ringo and hours worked by Peggy has to be 126 or less: $9x_1 + 13x_2 \leq 126$
- The total combined paperwork competence rating from hours worked by Dale plus hours worked by Ringo has to be no more than 179: $21x_0 + 9x_1 \leq 179$
- The total combined paperwork competence rating from hours worked by Ringo plus hours worked by Hank should be 106 or less: $9x_1 + 29x_3 \leq 106$
- The total combined paperwork competence rating from hours worked by Dale plus hours worked by Ringo plus hours worked by Peggy plus hours worked by Hank has to be equal to or less than 106: $21x_0 + 9x_1 + 13x_2 + 29x_3 \leq 106$ is incorrect based on problem, it is $ \leq 266$ for r0 and other constraints are defined by their upper bounds.
- The total combined dollar cost per hour from hours worked by Dale plus hours worked by Peggy must be less than or equal to 101: $20x_0 + 19x_2 \leq 101$
- The total combined dollar cost per hour from hours worked by Ringo plus hours worked by Hank must be 98 or less: $23x_1 + 11x_3 \leq 98$
- The total combined dollar cost per hour from hours worked by Dale plus hours worked by Hank must be at most 111: $20x_0 + 11x_3 \leq 111$
- The total combined dollar cost per hour from hours worked by Dale, and hours worked by Ringo has to be 219 at a maximum: $20x_0 + 23x_1 \leq 219$
- The total combined dollar cost per hour from hours worked by Dale, hours worked by Ringo, and hours worked by Hank must be 126 or less: $20x_0 + 23x_1 + 11x_3 \leq 126$ 
- The total combined dollar cost per hour from hours worked by Dale plus hours worked by Ringo plus hours worked by Peggy must be 123 at maximum: $20x_0 + 23x_1 + 19x_2 \leq 123$
- The total combined dollar cost per hour from hours worked by Dale, hours worked by Peggy, and hours worked by Hank has to be 109 or less: $20x_0 + 19x_2 + 11x_3 \leq 109$
- The total combined dollar cost per hour from hours worked by Dale plus hours worked by Ringo plus hours worked by Peggy plus hours worked by Hank must be less than or equal to 109: $20x_0 + 23x_1 + 19x_2 + 11x_3 \leq 109$

## 4: Create a symbolic representation of the problem
```json
{
    'sym_variables': [
        ('x0', 'hours worked by Dale'), 
        ('x1', 'hours worked by Ringo'), 
        ('x2', 'hours worked by Peggy'), 
        ('x3', 'hours worked by Hank')
    ], 
    'objective_function': '5*x0 + 3*x1 + 4*x2 + 8*x3', 
    'constraints': [
        '19*x2 + 11*x3 >= 24',
        '20*x0 + 23*x1 >= 22',
        '5*x0 - 2*x2 >= 0',
        '21*x0 + 13*x2 <= 97',
        '21*x0 + 29*x3 <= 101',
        '9*x1 + 13*x2 <= 126',
        '21*x0 + 9*x1 <= 179',
        '9*x1 + 29*x3 <= 106',
        '21*x0 + 9*x1 + 13*x2 + 29*x3 <= 266',
        '20*x0 + 19*x2 <= 101',
        '23*x1 + 11*x3 <= 98',
        '20*x0 + 11*x3 <= 111',
        '20*x0 + 23*x1 <= 219',
        '20*x0 + 23*x1 + 11*x3 <= 126',
        '20*x0 + 23*x1 + 19*x2 <= 123',
        '20*x0 + 19*x2 + 11*x3 <= 109',
        '20*x0 + 23*x1 + 19*x2 + 11*x3 <= 109'
    ]
}
```

## 5: Implement the optimization problem using Gurobi
```python
import gurobi

def solve_optimization_problem():
    # Create a new Gurobi model
    model = gurobi.Model()

    # Define the variables
    x0 = model.addVar(name='x0', lb=0)  # hours worked by Dale
    x1 = model.addVar(name='x1', lb=0)  # hours worked by Ringo
    x2 = model.addVar(name='x2', lb=0)  # hours worked by Peggy
    x3 = model.addVar(name='x3', lb=0)  # hours worked by Hank

    # Define the objective function
    model.setObjective(5*x0 + 3*x1 + 4*x2 + 8*x3, gurobi.GRB.MAXIMIZE)

    # Add constraints
    model.addConstr(19*x2 + 11*x3 >= 24)
    model.addConstr(20*x0 + 23*x1 >= 22)
    model.addConstr(5*x0 - 2*x2 >= 0)
    model.addConstr(21*x0 + 13*x2 <= 97)
    model.addConstr(21*x0 + 29*x3 <= 101)
    model.addConstr(9*x1 + 13*x2 <= 126)
    model.addConstr(21*x0 + 9*x1 <= 179)
    model.addConstr(9*x1 + 29*x3 <= 106)
    model.addConstr(21*x0 + 9*x1 + 13*x2 + 29*x3 <= 266)
    model.addConstr(20*x0 + 19*x2 <= 101)
    model.addConstr(23*x1 + 11*x3 <= 98)
    model.addConstr(20*x0 + 11*x3 <= 111)
    model.addConstr(20*x0 + 23*x1 <= 219)
    model.addConstr(20*x0 + 23*x1 + 11*x3 <= 126)
    model.addConstr(20*x0 + 23*x1 + 19*x2 <= 123)
    model.addConstr(20*x0 + 19*x2 + 11*x3 <= 109)
    model.addConstr(20*x0 + 23*x1 + 19*x2 + 11*x3 <= 109)

    # Optimize the model
    model.optimize()

    # Print the solution
    if model.status == gurobi.GRB.OPTIMAL:
        print('Objective: ', model.objVal)
        print('Hours worked by Dale: ', x0.varValue)
        print('Hours worked by Ringo: ', x1.varValue)
        print('Hours worked by Peggy: ', x2.varValue)
        print('Hours worked by Hank: ', x3.varValue)
    else:
        print('The model is infeasible')

solve_optimization_problem()
```