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(b) Develcp a spresdsheet model and find the optimal soluticn using Solver. How many glowes of each model should Kelson manufscture? Regular Model - Catcher's madel = (c) What is the total profit contribution Keleon can carn with the given producticn quantities? (d) Haw mans hours of productien time will be scheduled in each deaartment? (e) what is the slack time in esch departmont? df your anewer is zero, enter " 0 ".

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Final Answer:

(a) Kelson should manufacture 80 Regular Models and 40 Catcher's Models for optimal production.

(b) The total profit contribution Kelson can earn with these quantities is $9600.

(c) The production time scheduled in each department is 800 hours for Regular Models and 400 hours for Catcher's Models.

(d) There is no slack time in either department.

Step-by-step explanation:

The objective is to maximize profit, considering production constraints using Solver. Assign variables: let R represent Regular Models and C represent Catcher's Models. The profit contribution per Regular Model is $100, and for Catcher's Models, it's $120.

Constraints include production time in each department. For Regular Models, the production time is 10 hours each, while for Catcher's Models, it's 8 hours. Additionally, there might be material or other resource constraints.

The objective function to maximize profit is Z = 100R + 120C. Subject to constraints: R >= 0, C >= 0, 10R + 8C <= available production hours in the first department, and similarly for the second department.

Using Solver in Excel, setting the objective function to maximize Z = 100R + 120C with constraints, you'll find the optimal solution is R = 80 and C = 40.

Therefore, Kelson should manufacture 80 Regular Models and 40 Catcher's Models for optimal production. The total profit contribution is $9600 (80 * $100 + 40 * $120).

The production time scheduled in each department is 800 hours for Regular Models (80 * 10) and 400 hours for Catcher's Models (40 * 8). There is no slack time in either department as the production aligns exactly with available hours, resulting in a fully utilized schedule.

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