## Step 1: Define the symbolic representation of the variables
The variables are 'steaks', 'strips of bacon', 'sashimi', and 'green beans', which can be represented symbolically as $x_1, x_2, x_3, x_4$ respectively.

## Step 2: Define the objective function in symbolic notation
The objective function to minimize is $1.91x_1 + 5.34x_2 + 5.06x_3 + 9.14x_4$.

## Step 3: Define the constraints in symbolic notation
The constraints are:
- $8x_1 + 6x_4 \geq 19$
- $6x_2 + 6x_4 \geq 30$
- $8x_1 + 7x_3 \geq 47$
- $6x_2 + 7x_3 \geq 21$
- $8x_1 + 6x_2 + 7x_3 \geq 41$
- $8x_1 + 6x_2 + 7x_3 + 6x_4 \geq 41$
- $7x_2 + 10x_3 \geq 34$
- $10x_3 + 14x_4 \geq 35$
- $7x_2 + 14x_4 \geq 20$
- $7x_1 + 7x_2 + 10x_3 + 14x_4 \geq 20$
- $15x_3 + 15x_4 \geq 17$
- $16x_1 + 7x_2 \geq 45$
- $16x_1 + 7x_2 + 6x_3 + 15x_4 \geq 45$
- $-6x_3 + 5x_4 \geq 0$
- $7x_3 + 6x_4 \leq 101$
- $8x_1 + 6x_4 \leq 160$
- $8x_1 + 7x_3 + 6x_4 \leq 142$
- $6x_2 + 7x_3 + 6x_4 \leq 78$
- $8x_1 + 6x_2 + 6x_4 \leq 77$
- $16x_1 + 6x_3 \leq 147$
- $16x_1 + 7x_2 \leq 126$
- $6x_3 + 15x_4 \leq 124$
- $7x_2 + 15x_4 \leq 180$
- $7x_2 + 6x_3 \leq 143$

## Step 4: Create the symbolic representation of the problem
```json
{
    'sym_variables': [
        ('x1', 'steaks'), 
        ('x2', 'strips of bacon'), 
        ('x3', 'sashimi'), 
        ('x4', 'green beans')
    ], 
    'objective_function': '1.91*x1 + 5.34*x2 + 5.06*x3 + 9.14*x4', 
    'constraints': [
        '8*x1 + 6*x4 >= 19',
        '6*x2 + 6*x4 >= 30',
        '8*x1 + 7*x3 >= 47',
        '6*x2 + 7*x3 >= 21',
        '8*x1 + 6*x2 + 7*x3 >= 41',
        '8*x1 + 6*x2 + 7*x3 + 6*x4 >= 41',
        '7*x2 + 10*x3 >= 34',
        '10*x3 + 14*x4 >= 35',
        '7*x2 + 14*x4 >= 20',
        '7*x1 + 7*x2 + 10*x3 + 14*x4 >= 20',
        '15*x3 + 15*x4 >= 17',
        '16*x1 + 7*x2 >= 45',
        '16*x1 + 7*x2 + 6*x3 + 15*x4 >= 45',
        '-6*x3 + 5*x4 >= 0',
        '7*x3 + 6*x4 <= 101',
        '8*x1 + 6*x4 <= 160',
        '8*x1 + 7*x3 + 6*x4 <= 142',
        '6*x2 + 7*x3 + 6*x4 <= 78',
        '8*x1 + 6*x2 + 6*x4 <= 77',
        '16*x1 + 6*x3 <= 147',
        '16*x1 + 7*x2 <= 126',
        '6*x3 + 15*x4 <= 124',
        '7*x2 + 15*x4 <= 180',
        '7*x2 + 6*x3 <= 143'
    ]
}
```

## Step 5: Write the Gurobi code for the optimization problem
```python
import gurobi

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

    # Define the variables
    x1 = model.addVar(name='steaks', lb=-gurobi.GRB.INFINITY, ub=gurobi.GRB.INFINITY)
    x2 = model.addVar(name='strips of bacon', lb=-gurobi.GRB.INFINITY, ub=gurobi.GRB.INFINITY)
    x3 = model.addVar(name='sashimi', lb=-gurobi.GRB.INFINITY, ub=gurobi.GRB.INFINITY)
    x4 = model.addVar(name='green beans', lb=-gurobi.GRB.INFINITY, ub=gurobi.GRB.INFINITY)

    # Define the objective function
    model.setObjective(1.91 * x1 + 5.34 * x2 + 5.06 * x3 + 9.14 * x4, gurobi.GRB.MINIMIZE)

    # Add constraints
    model.addConstr(8 * x1 + 6 * x4 >= 19, name='umami_steaks_green_beans')
    model.addConstr(6 * x2 + 6 * x4 >= 30, name='umami_bacon_green_beans')
    model.addConstr(8 * x1 + 7 * x3 >= 47, name='umami_steaks_sashimi')
    model.addConstr(6 * x2 + 7 * x3 >= 21, name='umami_bacon_sashimi')
    model.addConstr(8 * x1 + 6 * x2 + 7 * x3 >= 41, name='umami_steaks_bacon_sashimi')
    model.addConstr(8 * x1 + 6 * x2 + 7 * x3 + 6 * x4 >= 41, name='umami_all')
    model.addConstr(7 * x2 + 10 * x3 >= 34, name='tastiness_bacon_sashimi')
    model.addConstr(10 * x3 + 14 * x4 >= 35, name='tastiness_sashimi_green_beans')
    model.addConstr(7 * x2 + 14 * x4 >= 20, name='tastiness_bacon_green_beans')
    model.addConstr(7 * x1 + 7 * x2 + 10 * x3 + 14 * x4 >= 20, name='tastiness_all')
    model.addConstr(15 * x3 + 15 * x4 >= 17, name='sourness_sashimi_green_beans')
    model.addConstr(16 * x1 + 7 * x2 >= 45, name='sourness_steaks_bacon')
    model.addConstr(16 * x1 + 7 * x2 + 6 * x3 + 15 * x4 >= 45, name='sourness_all')
    model.addConstr(-6 * x3 + 5 * x4 >= 0, name='sashimi_green_beans')
    model.addConstr(7 * x3 + 6 * x4 <= 101, name='umami_sashimi_green_beans_max')
    model.addConstr(8 * x1 + 6 * x4 <= 160, name='umami_steaks_green_beans_max')
    model.addConstr(8 * x1 + 7 * x3 + 6 * x4 <= 142, name='umami_steaks_sashimi_green_beans_max')
    model.addConstr(6 * x2 + 7 * x3 + 6 * x4 <= 78, name='umami_bacon_sashimi_green_beans_max')
    model.addConstr(8 * x1 + 6 * x2 + 6 * x4 <= 77, name='umami_steaks_bacon_green_beans_max')
    model.addConstr(16 * x1 + 6 * x3 <= 147, name='sourness_steaks_sashimi_max')
    model.addConstr(16 * x1 + 7 * x2 <= 126, name='sourness_steaks_bacon_max')
    model.addConstr(6 * x3 + 15 * x4 <= 124, name='sourness_sashimi_green_beans_max')
    model.addConstr(7 * x2 + 15 * x4 <= 180, name='sourness_bacon_green_beans_max')
    model.addConstr(7 * x2 + 6 * x3 <= 143, name='sourness_bacon_sashimi_max')

    # Solve the model
    model.optimize()

    # Print the solution
    if model.status == gurobi.GRB.OPTIMAL:
        print('Objective: ', model.objVal)
        print('Steaks: ', x1.varValue)
        print('Strips of bacon: ', x2.varValue)
        print('Sashimi: ', x3.varValue)
        print('Green beans: ', x4.varValue)
    else:
        print('No solution found')

optimize_problem()
```