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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

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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

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Asked by: Test User 100147
Created at: 2025-05-07 16:21:15

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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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