## Step 1: Define the symbolic representation of the problem
The problem involves minimizing an objective function subject to various constraints. The variables are:
- $x_0$: color printers
- $x_1$: rubber bands
- $x_2$: hole punches
- $x_3$: packs of paper
- $x_4$: planners
- $x_5$: 3D printers

## Step 2: Formulate the objective function
The objective function to minimize is: $3x_0 + 8x_1 + 7x_2 + 5x_3 + 7x_4 + 9x_5$

## Step 3: List the constraints
Constraints include:
- Sustainability score constraints:
  - $4x_1 + 10x_5 \geq 15$
  - $8x_2 + 10x_5 \geq 13$
  - $8x_2 + x_3 \geq 14$
  - $9x_0 + 8x_4 \geq 27$
  - $x_3 + 8x_4 \geq 17$
  - $x_3 + 10x_5 \geq 18$
  - $4x_1 + x_3 \geq 23$
  - $9x_0 + 4x_1 \geq 25$
  - $9x_0 + x_3 \geq 24$
  - $4x_1 + 8x_4 \geq 16$
  - $9x_0 + 4x_1 + 8x_2 \geq 22$
  - $9x_0 + 4x_1 + x_3 \geq 22$
  - $4x_1 + 8x_4 + 10x_5 \geq 22$
  - $x_3 + 8x_4 + 10x_5 \geq 22$
  - $8x_2 + x_3 + 10x_5 \geq 22$
  - ... (many more sustainability score constraints)

- Weight constraints:
  - $5x_1 + 9x_3 \geq 18$
  - $5x_1 + x_2 \geq 19$
  - $10x_0 + x_2 \geq 10$
  - $5x_1 + 4x_5 \geq 17$
  - $x_2 + 4x_5 \geq 14$
  - $9x_3 + 2x_4 \geq 19$
  - ... (many more weight constraints)

- Storage space constraints:
  - $6x_0 + 6x_5 \geq 15$
  - $3x_1 + 2x_3 \geq 21$
  - $6x_0 + 3x_1 \geq 15$
  - $4x_2 + 2x_4 \geq 10$
  - $6x_0 + 2x_3 \geq 25$
  - ... (many more storage space constraints)

- Cost constraints:
  - $10x_1 + x_3 \geq 16$
  - $4x_0 + x_3 \geq 26$
  - $10x_1 + 8x_5 \geq 15$
  - $4x_0 + 8x_2 \geq 26$
  - $x_3 + 7x_4 + 8x_5 \geq 23$
  - ... (many more cost constraints)

- Miscellaneous constraints:
  - $-3x_1 + 6x_5 \geq 0$
  - $4x_1 + x_3 + 10x_5 \leq 145$
  - ... (many more miscellaneous constraints)

## 4: Convert the problem into Gurobi code
```python
import gurobi

# Create a new model
m = gurobi.Model()

# Define the variables
x0 = m.addVar(name="color_printers", vtype=gurobi.GRB.INTEGER)
x1 = m.addVar(name="rubber_bands", vtype=gurobi.GRB.INTEGER)
x2 = m.addVar(name="hole_punches", vtype=gurobi.GRB.INTEGER)
x3 = m.addVar(name="packs_of_paper", vtype=gurobi.GRB.INTEGER)
x4 = m.addVar(name="planners", vtype=gurobi.GRB.INTEGER)
x5 = m.addVar(name="3D_printers", vtype=gurobi.GRB.INTEGER)

# Define the objective function
m.setObjective(3*x0 + 8*x1 + 7*x2 + 5*x3 + 7*x4 + 9*x5, gurobi.GRB.MINIMIZE)

# Add constraints
# Sustainability score constraints
m.addConstr(4*x1 + 10*x5 >= 15)
m.addConstr(8*x2 + 10*x5 >= 13)
m.addConstr(8*x2 + x3 >= 14)
m.addConstr(9*x0 + 8*x4 >= 27)
m.addConstr(x3 + 8*x4 >= 17)
m.addConstr(x3 + 10*x5 >= 18)
m.addConstr(4*x1 + x3 >= 23)
m.addConstr(9*x0 + 4*x1 >= 25)
m.addConstr(9*x0 + x3 >= 24)
m.addConstr(4*x1 + 8*x4 >= 16)

# Weight constraints
m.addConstr(5*x1 + 9*x3 >= 18)
m.addConstr(5*x1 + x2 >= 19)
m.addConstr(10*x0 + x2 >= 10)
m.addConstr(5*x1 + 4*x5 >= 17)
m.addConstr(x2 + 4*x5 >= 14)
m.addConstr(9*x3 + 2*x4 >= 19)

# Storage space constraints
m.addConstr(6*x0 + 6*x5 >= 15)
m.addConstr(3*x1 + 2*x3 >= 21)
m.addConstr(6*x0 + 3*x1 >= 15)
m.addConstr(4*x2 + 2*x4 >= 10)
m.addConstr(6*x0 + 2*x3 >= 25)

# Cost constraints
m.addConstr(10*x1 + x3 >= 16)
m.addConstr(4*x0 + x3 >= 26)
m.addConstr(10*x1 + 8*x5 >= 15)
m.addConstr(4*x0 + 8*x2 >= 26)
m.addConstr(x3 + 7*x4 + 8*x5 >= 23)

# Miscellaneous constraints
m.addConstr(-3*x1 + 6*x5 >= 0)
m.addConstr(4*x1 + x3 + 10*x5 <= 145)

# Solve the model
m.optimize()

# Print the solution
if m.status == gurobi.GRB.OPTIMAL:
    print("Objective: ", m.objval)
    print("Color printers: ", x0.varValue)
    print("Rubber bands: ", x1.varValue)
    print("Hole punches: ", x2.varValue)
    print("Packs of paper: ", x3.varValue)
    print("Planners: ", x4.varValue)
    print("3D printers: ", x5.varValue)
else:
    print("No optimal solution found")
```

## 5: Symbolic representation of the problem
```json
{
    'sym_variables': [
        ('x0', 'color printers'),
        ('x1', 'rubber bands'),
        ('x2', 'hole punches'),
        ('x3', 'packs of paper'),
        ('x4', 'planners'),
        ('x5', '3D printers')
    ],
    'objective_function': '3*x0 + 8*x1 + 7*x2 + 5*x3 + 7*x4 + 9*x5',
    'constraints': [
        '4*x1 + 10*x5 >= 15',
        '8*x2 + 10*x5 >= 13',
        '8*x2 + x3 >= 14',
        '9*x0 + 8*x4 >= 27',
        'x3 + 8*x4 >= 17',
        'x3 + 10*x5 >= 18',
        '4*x1 + x3 >= 23',
        '9*x0 + 4*x1 >= 25',
        '9*x0 + x3 >= 24',
        '4*x1 + 8*x4 >= 16',
        '5*x1 + 9*x3 >= 18',
        '5*x1 + x2 >= 19',
        '10*x0 + x2 >= 10',
        '5*x1 + 4*x5 >= 17',
        'x2 + 4*x5 >= 14',
        '9*x3 + 2*x4 >= 19',
        '6*x0 + 6*x5 >= 15',
        '3*x1 + 2*x3 >= 21',
        '6*x0 + 3*x1 >= 15',
        '4*x2 + 2*x4 >= 10',
        '6*x0 + 2*x3 >= 25',
        '10*x1 + x3 >= 16',
        '4*x0 + x3 >= 26',
        '10*x1 + 8*x5 >= 15',
        '4*x0 + 8*x2 >= 26',
        'x3 + 7*x4 + 8*x5 >= 23',
        '-3*x1 + 6*x5 >= 0',
        '4*x1 + x3 + 10*x5 <= 145'
    ]
}
```