document.write( "Question 1195967: An appliance service company is located centrally in roughly square area x miles on a side. It charges $27 per call, not including parts and labor, and travel cost is figured at $1.50 per mile. The average distance traveled per call is 1.2x miles. In a month the average number of calls per square mile of service area is 30.\r
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document.write( "a)What should x be if net travel income (which excludes parts and labor) is to be maximized?
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document.write( "b)What lot size yields minimum cost?
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Algebra.Com's Answer #848497 by proyaop(69)![]() ![]() ![]() You can put this solution on YOUR website! **a) Determine the Optimal Service Area Size (x) for Maximum Net Travel Income**\r \n" ); document.write( "\n" ); document.write( "* **Net Travel Income:** \n" ); document.write( " * Net Travel Income = (Revenue per call - Travel cost per call) * (Total calls) \n" ); document.write( " * Net Travel Income = ($27 - $1.80x) * (30x²) \n" ); document.write( " * Net Travel Income = 810x² - 54x³\r \n" ); document.write( "\n" ); document.write( "* **Find the derivative of the Net Travel Income function:** \n" ); document.write( " * d(Net Travel Income)/dx = 1620x - 162x² \r \n" ); document.write( "\n" ); document.write( "* **Set the derivative equal to zero to find critical points:** \n" ); document.write( " * 1620x - 162x² = 0 \n" ); document.write( " * 162x(10 - x) = 0\r \n" ); document.write( "\n" ); document.write( "* **Solve for x:** \n" ); document.write( " * x = 0 (This is a trivial solution) \n" ); document.write( " * x = 10 \r \n" ); document.write( "\n" ); document.write( "* **To verify that x = 10 maximizes net travel income:** \n" ); document.write( " * **Second Derivative Test:** \n" ); document.write( " * d²(Net Travel Income)/dx² = 1620 - 324x \n" ); document.write( " * At x = 10, d²(Net Travel Income)/dx² = 1620 - 324(10) = -1620 \n" ); document.write( " * Since the second derivative is negative at x = 10, it indicates a maximum.\r \n" ); document.write( "\n" ); document.write( "* **Therefore, to maximize net travel income, the service area should have a side length (x) of 10 miles.**\r \n" ); document.write( "\n" ); document.write( "**b) Finding the Lot Size for Minimum Cost**\r \n" ); document.write( "\n" ); document.write( "* **The question about \"lot size\" is not directly related to the given information about the service area.** \n" ); document.write( "* Lot size typically refers to the quantity of goods ordered or produced in a single production run. \r \n" ); document.write( "\n" ); document.write( "* **To determine the lot size that yields minimum cost, you would need additional information:** \n" ); document.write( " * **Ordering costs:** Costs associated with placing an order (e.g., administrative costs, transportation costs). \n" ); document.write( " * **Holding costs:** Costs associated with storing inventory (e.g., storage space, insurance, spoilage). \n" ); document.write( " * **Demand:** The rate at which the goods are used.\r \n" ); document.write( "\n" ); document.write( "* **Common inventory management models (like the Economic Order Quantity - EOQ) can be used to determine the optimal lot size that minimizes the sum of ordering and holding costs.**\r \n" ); document.write( "\n" ); document.write( "**In summary:**\r \n" ); document.write( "\n" ); document.write( "* To maximize net travel income, the service area should have a side length of 10 miles. \n" ); document.write( "* The question about lot size requires additional information to be answered.\r \n" ); document.write( "\n" ); document.write( "I hope this comprehensive explanation is helpful! \n" ); document.write( " \n" ); document.write( " |