You do not need to answer the case study questions explicitly. Instead, focus on understanding the problems context and applying models to provide a meaningful decision analysis.Analysis RequirementsModel Application: Use at least two different applied models covered in the course $($e$.$g$.,$ optimization, regression, time series forecasting, simulation$).$Depth and Creativity: Your analysis should go beyond surface$-$level insights and demonstrate originality in the choice and use of models. $(2$ pages$($with introduction, methodology, analysis with charts or tables, and recommendations$)-$ single spaced $-11$ point fontDecision Analysis: Connect your quantitative analysis to the real$-$world context of the case and provide actionable insights. Possible components to discuss include:Problem Context and Challenges: Explore the key challenges faced by the company in the case with quantitative evidence from data.Recommended Decisions: Propose specific decisions based on your analysis, justifying how they address the challenges or improve performance metrics.Strategic Recommendations: Suggest broader strategies for the company, informed by the insights from your models.Quantitative Insights: Use charts, tables, or sensitivity analysis to support your decisions and recommendations.Feasibility and Risks: Discuss the practicality of your recommendations and any potential risks or limitations$.$