Question: Part 2 : Goal Programming for Multi - Objective Decision MakingBuilding on the previous linear programming model, Green Tech Solutions now wants to incorporate multiple

Part 2: Goal Programming for Multi-Objective Decision MakingBuilding on the previous linear programming model, Green Tech Solutions now wants to incorporate multiple objectives into their decision-making process. They've identified several goals, some of which may conflict with each other. The company wants to use goal programming to find a satisfactory solution that balances these objectives.Goals:1.Profit Goal: Achieve a total profit of at least $20,0002.Production Volume Goal: Produce at least 1000 units in total across all product lines3.Sustainability Goal: Limit raw material usage to 500 kg or less4.Labor Utilization Goal: Use at least 350 labor hours to maintain workforce stability5.High-Tech Focus Goal: Ensure that the number of energy-efficient laptops and smart thermostats produced is at least 30% of the total productionConstraints:(Keep all constraints from Part 1)Goal Programming Formulation:For each goal, introduce positive and negative deviational variables (d+ and d-) to represent over- and under-achievement of the goal.1.Profit Goal: 30x1+150x2+80x3+10x4+200x5+ d1n - d1p =200002.Production Volume Goal: x1+ x2+ x3+ x4+ x5+ d2n - d2p =10003.Sustainability Goal: 3x1+10x2+4x3+ x4+8x5+ d3n - d3p =5004.Labor Utilization Goal: 2x1+5x2+3x3+ x4+4x5+ d4n - d4+=3505.High-Tech Focus Goal: 0.3x1+0.7x2+0.7x3+0.3x4+0.3x5+ d5n - d5p =0Objective Function:Minimize Z = w1(d1n + d1p)+ w2(d2n + d2p)+ w3(d3p + d3n)+ w4(d4n)+ w5(d5n)Where w1, w2, w3, w4, and w5 are weights assigned to each goal based on their relative importance to the company.Tasks for Part 2:1.Discuss the potential conflicts between the different goals and how goal programming can help address these conflicts.2.Formulate the complete goal programming model, including all constraints from Part 1 and the new goal constraints.3.Assign weights to each goal based on a hypothetical priority structure for Green Tech Solutions. Justify your choice of weights.4.Solve the goal programming model using appropriate software.5.Interpret the results, focusing on: a. Which goals were fully achieved, partially achieved, or not achieved? b. What trade-offs were made between different goals? c. How does the solution compare to the original linear programming solution?

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