Tom's, Inc., produces various Mexican food products and sells them to Western Foods, a chain of grocery stores located in Texas and New Mexico. Tom's, Inc., makes two salsa products: Western Foods Salsa and Mexico City Salsa. Essentially, the two products have different blends of whole tomatoes, tomato sauce, and tomato paste. The Western Foods Salsa is a blend of
5
0
%
whole tomatoes,
3
0
%
tomato sauce, and
2
0
%
tomato paste. The Mexico City Salsa, which has a thicker and chunkier consistency, consists of
7
0
%
whole tomatoes,
1
0
%
tomato sauce, and
2
0
%
tomato paste. Each jar of salsa produced weighs
1
0
ounces. For the current production period, Tom's, Inc., can purchase up to
2
8
0
pounds of whole tomatoes,
1
3
0
pounds of tomato sauce, and
1
0
0
pounds of tomato paste; the price per pound for these ingredients is $
0
.
9
6
,
$
0
.
6
4
,
and $
0
.
5
6
,
respectively. The cost of the spices and the other ingredients is approximately $
0
.
1
0
per jar. Tom's, Inc., buys empty glass jars for $
0
.
0
2
each, and labeling and filling costs are estimated to be $
0
.
0
3
for each jar of salsa produced. Tom's contract with Western Foods results in sales revenue of $
1
.
6
4
for each jar of Western Foods Salsa and $
1
.
9
3
for each jar of Mexico City Salsa.
Letting
W
=
jars of Western Foods Salsa
M
=
jars of Mexico City Salsa
Max
1
W
+
1
.
2
5
M
5
W
+
7
M
≤
4
4
8
0
Whole tomatoes
3
W
+
1
M
≤
2
0
8
0
Tomato sauce
2
W
+
2
M
≤
1
6
0
0
Tomato paste
W
,
M
≥
0
include:
-
Spreadsheet Model with Solver setup
-
User Interface
(
be sure to set Object Properties as appropriate
)
-
VBA Code to link Model and Interface
-
VBA
Code for Formatting
-
VBA Code for Error Trapping
Question:
Tom's, Inc., produces various Mexican food products and sells them to Western Foods, a chain of grocery stores located in Texas and New Mexico. Tom's, Inc., makes two salsa products: Western Foods Salsa and Mexico City Salsa. Essentially, the two products have different blends of whole tomatoes, tomato sauce, and tomato paste. The Western Foods Salsa is a blend of
5
0
%
whole tomatoes,
3
0
%
tomato sauce, and
2
0
%
tomato paste. The Mexico City Salsa, which has a thicker and chunkier consistency, consists of
7
0
%
whole tomatoes,
1
0
%
tomato sauce, and
2
0
%
tomato paste. Each jar of salsa produced weighs
1
0
ounces. For the current production period, Tom's, Inc., can purchase up to
2
8
0
pounds of whole tomatoes,
1
3
0
pounds of tomato sauce, and
1
0
0
pounds of tomato paste; the price per pound for these ingredients is $
0
.
9
6
,
$
0
.
6
4
,
and $
0
.
5
6
,
respectively. The cost of the spices and the other ingredients is approximately $
0
.
1
0
per jar. Tom's, Inc., buys empty glass jars for $
0
.
0
2
each, and labeling and filling costs are estimated to be $
0
.
0
3
for each jar of salsa produced. Tom's contract with Western Foods results in sales revenue of $
1
.
6
4
for each jar of Western Foods Salsa and $
1
.
9
3
for each jar of Mexico City Salsa.
Letting
W
=
jars of Western Foods Salsa
M
=
jars of Mexico City Salsa
Max
1
W
+
1
.
2
5
M
5
W
+
7
M
≤
4
4
8
0
Whole tomatoes
3
W
+
1
M
≤
2
0
8
0
Tomato sauce
2
W
+
2
M
≤
1
6
0
0
Tomato paste
W
,
M
≥
0
include:
-
Spreadsheet Model with Solver setup
-
User Interface
(
be sure to set Object Properties as appropriate
)
-
VBA Code to link Model and Interface
-
VBA
Code for Formatting
-
VBA Code for Error Trapping
This is AI generated Response.
Asked by: Test User 100147
Created at: 2025-05-07 16:21:15
Final Answer:
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Certainly! Below is a comprehensive guide to setting up your **Linear Programming (LP) Model** for Tom’s, Inc., including:
1. **Spreadsheet Model with Solver Setup**
2. **User Interface (UI) Design Recommendations**
3. **VBA Code:**
- Model-Interface linking
- Formatting
- Error Trapping
---
## 1. Spreadsheet Model with Solver Setup
**Assumptions:**
- All weights are converted to ounces (1 lb = 16 oz).
- Let \( W \) = Jars of Western Foods Salsa
- Let \( M \) = Jars of Mexico City Salsa
**Decision Variables Table:**
| Cell | Description | Value (to be determined) |
|------|------------------------------|--------------------------|
| B3 | Jars of Western Foods Salsa (W) | 0 (initial guess) |
| B4 | Jars of Mexico City Salsa (M) | 0 (initial guess) |
---
**Parameters Table:**
| Ingredient | Max Pounds | Max Ounces | Western Foods % | Mexico City % |
|-----------------|------------|------------|-----------------|---------------|
| Whole Tomatoes | 280 | 4480 | 50% | 70% |
| Tomato Sauce | 130 | 2080 | 30% | 10% |
| Tomato Paste | 100 | 1600 | 20% | 20% |
---
**Constraints (in ounces):**
| Ingredient | Formula | Cell |
|-----------------|-------------------------------------------|--------|
| Whole Tomatoes | =B3*10*0.5 + B4*10*0.7 ≤ 4480 | B7 |
| Tomato Sauce | =B3*10*0.3 + B4*10*0.1 ≤ 2080 | B8 |
| Tomato Paste | =B3*10*0.2 + B4*10*0.2 ≤ 1600 | B9 |
---
**Objective Function:**
- **Revenue per jar:**
- Western Foods: $1.64
- Mexico City: $1.93
- **Cost per jar:**
- Ingredients (per jar):
- Western Foods: 5 oz tomatoes @ $0.96/lb, 3 oz sauce @ $0.64/lb, 2 oz paste @ $0.56/lb
- Mexico City: 7 oz tomatoes @ $0.96/lb, 1 oz sauce @ $0.64/lb, 2 oz paste @ $0.56/lb
- All: $0.10 (spices), $0.02 (jar), $0.03 (label/filling)
- **Calculate total cost per jar for each type.**
- **Profit per jar:**
- Western Foods: Revenue - Cost
- Mexico City: Revenue - Cost
- **Let’s denote profit per jar as:**
- Western Foods: $X
- Mexico City: $Y
- **Objective:**
- Maximize \( X \cdot W + Y \cdot M \)
**[For simplicity, let's use the coefficients you provided: 1 for W, 1.25 for M, which reflect the profit per jar.]**
---
### **Excel Layout Example**
| | A | B |
|------|-----------------------|-----------|
| 1 | Decision Variables | |
| 2 | Western Foods (W) | 0 |
| 3 | Mexico City (M) | 0 |
| 4 | | |
| 5 | Constraints | Used |
| 6 | Whole Tomatoes (oz) | =B2*5 + B3*7 |
| 7 | Max Allowed | 4480 |
| 8 | Tomato Sauce (oz) | =B2*3 + B3*1 |
| 9 | Max Allowed | 2080 |
| 10 | Tomato Paste (oz) | =B2*2 + B3*2 |
| 11 | Max Allowed | 1600 |
| 12 | | |
| 13 | Objective Function | =1*B2 + 1.25*B3 |
**Set up Solver:**
- Set Objective: **B13** (maximize)
- By Changing: **B2:B3**
- Subject to:
- B6 ≤ B7
- B8 ≤ B9
- B10 ≤ B11
- B2, B3 ≥ 0 (non-negativity)
---
## 2. User Interface (UI) Recommendations
- Use a separate "Interface" sheet.
- Add Input cells for ingredient limits, prices, and profit coefficients (with Data Validation).
- Add "Run Solver" button.
- Display output cells for optimal W, M, and total profit.
- Use form controls (e.g., spin buttons, drop-downs) for user interaction.
---
## 3. VBA Code
### **a. Model-Interface Linking VBA**
```vba
Sub RunSalsaSolver()
' Ensure Solver Add-In is enabled
If Not AddInInstalled("Solver Add-in") Then
MsgBox "Solver Add-in is not installed. Please install it first.", vbCritical
Exit Sub
End If
' Clear previous Solver constraints
SolverReset
' Set up Solver parameters
SolverOk SetCell:="Sheet1!$B$13", MaxMinVal:=1, ValueOf:=0, ByChange:="Sheet1!$B$2:$B$3"
SolverAdd CellRef:="Sheet1!$B$6", Relation:=1, FormulaText:="Sheet1!$B$7"
SolverAdd CellRef:="Sheet1!$B$8", Relation:=1, FormulaText:="Sheet1!$B$9"
SolverAdd CellRef:="Sheet1!$B$10", Relation:=1, FormulaText:="Sheet1!$B$11"
SolverAdd CellRef:="Sheet1!$B$2", Relation:=3, FormulaText:="0"
SolverAdd CellRef:="Sheet1!$B$3", Relation:=3, FormulaText:="0"
' Solve the model
SolverSolve UserFinish:=True
' Format output cells (see formatting code below)
FormatOutputCells
' Error trapping (see error trapping code below)
If Range("Sheet1!$B$2") < 0 Or Range("Sheet1!$B$3") < 0 Then
MsgBox "Solution out of feasible range.", vbCritical
End If
End Sub
Function AddInInstalled(AddInName As String) As Boolean
Dim ai As AddIn
AddInInstalled = False
For Each ai In Application.AddIns
If ai.Name = AddInName Then
AddInInstalled = ai.Installed
Exit Function
End If
Next ai
End Function
```
---
### **b. VBA Code for Formatting**
```vba
Sub FormatOutputCells()
With Range("Sheet1!$B$2:$B$4")
.Interior.Color = RGB(200, 255, 200)
.Font.Bold = True
.NumberFormat = "0"
End With
With Range("Sheet1!$B$13")
.Font.Bold = True
.Font.Color = RGB(0, 100, 0)
.NumberFormat = "$#,##0.00"
End With
End Sub
```
---
### **c. VBA Code for Error Trapping**
```vba
Sub CheckInputErrors()
Dim tomatoes As Double, sauce As Double, paste As Double
tomatoes = Range("Sheet1!$B$7").Value
sauce = Range("Sheet1!$B$9").Value
paste = Range("Sheet1!$B$11").Value
If tomatoes <= 0 Or sauce <= 0 Or paste <= 0 Then
MsgBox "Ingredient maximums must be positive.", vbCritical
Exit Sub
End If
If Range("Sheet1!$B$2") < 0 Or Range("Sheet1!$B$3") < 0 Then
MsgBox "Negative production is not allowed.", vbCritical
Exit Sub
End If
End Sub
```
---
## **How to Use**
1. **Prepare your spreadsheet** per the above design.
2. **Create a button** on your Interface sheet, and assign `RunSalsaSolver` macro.
3. **Enter parameters** in the designated cells.
4. **Click the button** to run Solver, format outputs, and check for errors.
---
**If you need a sample Excel file with this model and code, let me know!**
You can adapt the sheet names and cell references as required. This approach ensures your model is robust, user-friendly, and error-resistant.
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