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Tasks: A company manufactures two electronic products: Chipsets and LCD. Each product contributes differently to the profit. The production process is subject to constraints related to labour, manufacturing space, raw materials, and production time. You are required to determine the optimal production quantities for each product to maximize profit: • Develop and formulate a Linear programming model for the variables and constraints from the above context as given in Table 1 & 2. Assume Right-Hand Side (R.H.S) values for all elements and find the maximum profit and optimal variable values using graphical method (40%). Table I Variables Chipsets Profit Per Unit Assume as per convenience and Model Fit Assume as per convenience and Model Fit dictions: On LCD Table II Constraints Labour Manufacturing Space Raw Materials Production Time Units No of Labors Square Meters Kilograms Minutes Identify the feasible region and construct the graph using the graphical method. Evaluate, present. Find out-and-explain the Shadow Price and explain by consideringtaking any one of the equations that yields optimal point and conduct a sensitivity analysis by increasing or decreasing one the units as per your convenienceunit on the available resource of the respective constraint and critically analyse the modelling output and its practical implications. (40%). Accessibility: Investigate

Tasks: A company manufactures two electronic products: Chipsets and LCD. Each product contributes differently to the profit. The production process is subject to constraints related to labour, manufacturing space, raw materials, and production time. You are required to determine the optimal production quantities for each product to maximize profit: • Develop and formulate a Linear programming model for the variables and constraints from the above context as given in Table 1 & 2. Assume Right-Hand Side (R.H.S) values for all elements and find the maximum profit and optimal variable values using graphical method (40%). Table I Variables Chipsets Profit Per Unit Assume as per convenience and Model Fit Assume as per convenience and Model Fit dictions: On LCD Table II Constraints Labour Manufacturing Space Raw Materials Production Time Units No of Labors Square Meters Kilograms Minutes Identify the feasible region and construct the graph using the graphical method. Evaluate, present. Find out-and-explain the Shadow Price and explain by consideringtaking any one of the equations that yields optimal point and conduct a sensitivity analysis by increasing or decreasing one the units as per your convenienceunit on the available resource of the respective constraint and critically analyse the modelling output and its practical implications. (40%). Accessibility: Investigate

College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter6: Linear Systems
Section6.8: Linear Programming
Problem 33E
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Tasks: A company manufactures two electronic products: Chipsets and LCD. Each product contributes differently to the profit. The production process is subject to constraints related to labour, manufacturing space, raw materials, and production time. You are required to determine the optimal production quantities for each product to maximize profit: • Develop and formulate a Linear programming model for the variables and constraints from the above context as given in Table 1 & 2. Assume Right-Hand Side (R.H.S) values for all elements and find the maximum profit and optimal variable values using graphical method (40%). Table I Variables Chipsets Profit Per Unit Assume as per convenience and Model Fit Assume as per convenience and Model Fit dictions: On LCD Table II Constraints Labour Manufacturing Space Raw Materials Production Time Units No of Labors Square Meters Kilograms Minutes Identify the feasible region and construct the graph using the graphical method. Evaluate, present. Find out-and-explain the Shadow Price and explain by consideringtaking any one of the equations that yields optimal point and conduct a sensitivity analysis by increasing or decreasing one the units as per your convenienceunit on the available resource of the respective constraint and critically analyse the modelling output and its practical implications. (40%). Accessibility: Investigate
Transcribed Image Text:Tasks: A company manufactures two electronic products: Chipsets and LCD. Each product contributes differently to the profit. The production process is subject to constraints related to labour, manufacturing space, raw materials, and production time. You are required to determine the optimal production quantities for each product to maximize profit: • Develop and formulate a Linear programming model for the variables and constraints from the above context as given in Table 1 & 2. Assume Right-Hand Side (R.H.S) values for all elements and find the maximum profit and optimal variable values using graphical method (40%). Table I Variables Chipsets Profit Per Unit Assume as per convenience and Model Fit Assume as per convenience and Model Fit dictions: On LCD Table II Constraints Labour Manufacturing Space Raw Materials Production Time Units No of Labors Square Meters Kilograms Minutes Identify the feasible region and construct the graph using the graphical method. Evaluate, present. Find out-and-explain the Shadow Price and explain by consideringtaking any one of the equations that yields optimal point and conduct a sensitivity analysis by increasing or decreasing one the units as per your convenienceunit on the available resource of the respective constraint and critically analyse the modelling output and its practical implications. (40%). Accessibility: Investigate
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