Machine (units) 1 1500 2 1500 3 1000 Product Machine A B C 1 $1.00 $1.20 $0.90 2 $1.30 $1.40 $1.20 3 $1.10 $1.00 $1.20 Use the transportation model to develop the minimum-cost production schedule for the products and machines. Show the linear programming formulation. 2. Scott and Associates‚ Inc. is a consulting firm that has 4 new clients. Based on different background and experiences of the leaders‚ the various leader-client assignments differ in terms of projected completion times
Premium Operations research Linear programming Project management
packages‚ while the tutorial mode keeps on giving step-wise information about the methodology and solution. TORA tutorial software deals with the following algorithms: •Solution of simultaneous linear equations •Linear programming •Transportation model •Integer programming •Network models •Project analysis by CPM/PERT •Poisson queuing models
Premium Optimization Elementary algebra Linear programming
changes in advertising‚ promotion or competition. For this problem we look to try and gather an estimate of what the best forecasting method will be for the demand of services A‚ B‚ and C. The methods of analysis used to attain the figures include; linear regression‚ regression model‚ and forecast error analysis. Plan the Treatment: In order to apply all of the demand forecasting methods properly and acquire the most accurate demand forecast‚ we must do the following… Graph historical demand – define
Premium Forecasting Regression analysis Linear regression
the class and some questions similar to the HW will be asked. Please come to the class early so that you do not miss the quiz! 1. Run a regression between price and area (sqft) for data in “housing ” worksheet. a. Estimate the population simple linear regression line that shows a relationship between the area and price of a house. (Price depends on the size of the house) b. Interpret the intercept and the slope of the line. c. Estimate the standard deviation of the error‚ s. d. Evaluate the
Premium Regression analysis Statistics Linear regression
employees. In order to provide Mr. Rodriguez with the information he requested‚ linear programming will be utilized. Linear programming is the “several related mathematical techniques used to allocate limited resources among competing demands in an optimal way” (Jacobs & Chase‚ 2013‚ appendix
Premium Optimization Part-time Linear programming
future plagiarism checks. Date Submitted: 23 MAY 2015 ECON 7300 Statistics for Business and Economics Statistics Project Project Dataset 4 Tutorial T11 Friday 8.30-10.00 Name: Xiaohui WAN Student Number: 43348802 Part A – Simple Linear Regression Analysis (a) Expectation Ŷi = β0 + β1xi + βi Where Ŷ =Amount of money the state spends on aid to local school districts per capita (AIDPC) Xi= State Income per capita (INCOMEPC) In general‚ we expect the increase of state Income per capita
Premium Regression analysis Linear regression
Operations Management II Introduction to Operations Research Operations Research (OR) Definition Operations Research is the representation of real world systems by mathematical models together with the use of quantitative methods (Algorithms) for solving such models‚ with a view of optimising. - (J.E Beasley) “The attack of modern science on complex problems arising in the direction and management of large systems of men‚ machines‚ materials and money in industry‚ business‚ government
Premium Costs Operations research Optimization
hours. Each product requires 10 hours of processing time on line 1‚ while on line 2‚ product 1 requires 7 hours and product 2 requires 3 hours. The profit for product 1 is $6 per unit‚ and the profit for product 2 is $4 per unit. a. Formulate a linear programming model for this problem. b. Solve this model by using graphical analysis. 6) The Pinewood Furniture Company produces chairs and tables from two resources-labor and wood. The company has 80 hours of labor and 36 pounds of wood available
Premium Imperial units Assembly line Linear programming
Applied Linear Regression Notes set 1 Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa‚ AL 35487-0348 Phone: (205) 348-4431 Fax: (205) 348-8648 September 26‚ 2006 Textbook references refer to Cohen‚ Cohen‚ West‚ & Aiken’s (2003) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. I would like to thank Angie Maitner and Anne-Marie Leistico for comments made on earlier versions of these notes. If you
Premium Statistics Regression analysis Statistical hypothesis testing
well as advise his boss on what actions he should take for future production. The method we used to forecast the cell phone orders for the upcoming year is regression analysis; we calculated the linear regression formula from the given data‚ and then applied the formula to the later months. Based on the linear regression equation‚ we anticipate the cell phone industry to continue to grow over the next 12 months‚ but Jordan’s boos should feel free to stray away from actual forecasts for certain months
Premium Linear regression Forecasting Regression analysis