A linear programming computer package is needed. EZ-Windows, Inc., manufactures replacement windows for the home remodeling business. In January, the company produced 15,000 windows and ended the month with 9,000 windows in inventory. EZ-Windows' management team would like to develop a production schedule for the next three months. A smooth production schedule is obviously desirable because it maintains the current workforce and provides a similar month-to-month operation. However, given the sales forecasts, the production capacities, and the storage capabilities as shown, the management team does not think a smooth production schedule with the same production quantity each month nossible The company's cost accounting department estimates that increasing production by one window from one month to the next will increase total costs by $1.00 for each unit increase in the production level. In addition, decreasing production by one unit from one month to the next will increase total costs by $0.65 for each unit decrease in the production level. Ignoring production and inventory carrying costs, formulate a linear programming model that will minimize the cost (in dollars) of changing production levels while still satisfying the monthly sales forecasts. (Let F= number of windows manufactured in February, M= number of windows manufactured in March, A= number of windows manufactured in April, I1= increase in production level necessary during month 1,I2= increase in production level necessary during month 2,I3= increase in production level necessary during month 3,D1= decrease in production level necessary during month 1,D2= decrease in production level necessary during month 2,D3= decrease in production level necessary during month 3,s1= ending inventory in month 1,s2= ending inventory in month 2 , and s3= ending inventory in month 3.) s.t. February Dentand March Demand Apr Demand Change in February Production Change in March Production Change in April Production February Production Capacity February Storage Capacity March Storage Capacity April Storage Capacity Find the optimal solution. A linear programming computer package is needed. EZ-Windows, Inc., manufactures replacement windows for the home remodeling business. In January, the company produced 15,000 windows and ended the month with 9,000 windows in inventory. EZ-Windows' management team would like to develop a production schedule for the next three months. A smooth production schedule is obviously desirable because it maintains the current workforce and provides a similar month-to-month operation. However, given the sales forecasts, the production capacities, and the storage capabilities as shown, the management team does not think a smooth production schedule with the same production quantity each month nossible The company's cost accounting department estimates that increasing production by one window from one month to the next will increase total costs by $1.00 for each unit increase in the production level. In addition, decreasing production by one unit from one month to the next will increase total costs by $0.65 for each unit decrease in the production level. Ignoring production and inventory carrying costs, formulate a linear programming model that will minimize the cost (in dollars) of changing production levels while still satisfying the monthly sales forecasts. (Let F= number of windows manufactured in February, M= number of windows manufactured in March, A= number of windows manufactured in April, I1= increase in production level necessary during month 1,I2= increase in production level necessary during month 2,I3= increase in production level necessary during month 3,D1= decrease in production level necessary during month 1,D2= decrease in production level necessary during month 2,D3= decrease in production level necessary during month 3,s1= ending inventory in month 1,s2= ending inventory in month 2 , and s3= ending inventory in month 3.) s.t. February Dentand March Demand Apr Demand Change in February Production Change in March Production Change in April Production February Production Capacity February Storage Capacity March Storage Capacity April Storage Capacity Find the optimal solution