Backsround: Wes and Steve are partners in a lunch truck company that operates a central kitchen and operates lunch trucks that travel to various locations in Philadelphia, Monday-Friday. The lunch trucks deliver pre-packaged healthy sandwich and salad alternatives, fresh fruit and pre-packaged low-fat desserts and canned beverages. Together, the partners have to make many decisions about how to structure the operational aspects of the business so that it is cost effective, efficient and profitable. Current Situation: Wes and Steve produce/sell breakfast baked goods for their lunch truck business. They make $2 profit for Muffins (x1) and $3 profit for Croissants (x2). They want to maximize profit of these items but are restricted to daily production minutes as shown in the table on page 2 . The company utilizes LINDO to plan for production. Data from the LINDO range report is also shown on page below. Profit information: \$2. profit for Muffins ( x1 ) $3 profit for Croissants (x2) Constraint Data: UNDO SENSITIVITY ANALYSIS DATA OBJECTIVE FUNCTION COEFFICIENT RANGES RIGHT-HAND SIDE RANGES Important Notes: - PLEASE ROUND TO TWO (2) decimal points. - If math is required, you must show all work or you will have points deducted. You cannot just write answers. - You must write neatly and NOT in red ink. - You are not permitted to cross out answers; use white-out or start over. - If I cannot read your work, you will receive zero points. \begin{tabular}{|l|l|} \hline \begin{tabular}{l} 1. What is the optimal combination for \\ production and corresponding profit? \\ (3 pts) \end{tabular} & Math: \\ \hline \end{tabular}