Notecase Study Answer Question 1 And 21

Notecase Study Answer Question 1 And 21 The Case Study Should Be M

Answering the questions related to the T-shirt ordering scenario involves assessing the financial outcomes based on different order quantities and determining the optimal ordering quantity. The case study provides a context for understanding how varying order sizes influence profitability and inventory management, which are critical in strategic decision-making for businesses. Additionally, understanding the community health issues regarding cardiovascular disease among elderly African Americans in rural US areas offers insight into public health planning, demonstrating the importance of culturally competent interventions and addressing barriers to care. This paper first explores the financial implications of different T-shirt order quantities, then discusses the factors influencing optimal order size. It further reflects on the public health issues surrounding cardiovascular disease and relevant community considerations.

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Financial Outcomes of Different T-Shirt Order Quantities

The decision to order 5,000, 7,500, or 10,000 T-shirts involves analyzing the potential profit margins, inventory holding costs, and sales revenue associated with each order volume. Typically, the selling price per T-shirt, unit cost, and fixed costs are known parameters that influence the calculation of gross profit and net profit. If we assume a fixed selling price and unit cost, increasing the order size can lead to economies of scale, reducing the per-unit cost and increasing total profit. However, larger orders come with increased holding costs and risk of unsold inventory.

For instance, if Lassiter sells each T-shirt at $15, and the unit cost is $8, then the gross profit per T-shirt is $7. For 5,000 shirts, total gross profit would be $35,000 (5,000 x $7). For 7,500 shirts, it would be $52,500, and for 10,000 shirts, it would be $70,000. These calculations assume all ordered shirts are sold, which is unlikely; hence, demand forecasts and sales potential become critical in assessing profitability accurately.

Furthermore, the cost structure such as additional inventory storage costs, discounting strategies to clear excess stock, and the potential for markdowns influence the profitability outlook. If Lassiter can accurately forecast demand and sell all T-shirts, ordering 10,000 could maximize profits, but overestimating demand risks excess inventory and associated costs. Conversely, ordering 5,000 ensures manageable inventory but might limit potential revenue.

Assessing Optimal Order Quantity for Lassiter

Determining the optimal order quantity involves analyzing factors such as demand variability, storage capacity, cash flow, and market trends. The Economic Order Quantity (EOQ) model provides a framework to minimize total inventory costs, considering ordering and holding costs. EOQ can be calculated using the formula:

EOQ = √(2DS / H)

where D is annual demand, S is ordering cost per order, and H is holding cost per unit per year. Applying this model requires specific data, but it suggests that an optimal order balances ordering frequency and inventory holding costs.

In practical terms, Lassiter should consider market demand evidence, seasonal trends, and past sales data when determining order size. For high-demand periods, ordering larger quantities might be advantageous, while during low-demand seasons, smaller, more frequent orders mitigate excess inventory risks. Customer behavior analyses and pre-order strategies can further refine order decisions.

In conclusion, while ordering 5,000 T-shirts may offer lower risk and manageable inventory, ordering 7,500 or 10,000 could increase revenue if demand matches or exceeds these levels. The optimal order size is ultimately a strategic decision that balances potential profit against inventory risks, backed by demand forecasting and cost analysis.

Implications for Public Health and Community Outreach

The second part of the case study explores cardiovascular diseases among elderly African Americans in rural US communities. CVD remains a leading cause of death worldwide, exacerbated by social determinants such as socioeconomic status, access to healthcare, diet, and cultural beliefs (Kumar, 2017). The community's cultural values, including mistrust of medical systems, reliance on spiritual or home remedies, and dietary preferences, significantly influence health outcomes.

Efforts to address CVD in this population require culturally competent interventions that respect and incorporate community beliefs. For example, healthcare initiatives should involve community leaders, spiritual healers, and culturally relevant education to improve health literacy (Graham, 2016). Addressing barriers such as food insecurity, economic limitations, and healthcare access is crucial in designing effective programs.

Community-based strategies should include mobile clinics, dietary counseling tailored to cultural preferences, and trust-building activities with local leaders. Moreover, addressing health disparities necessitates equitable resource allocation, improved health literacy, and incorporating community feedback into program development (Krisætherton et al., 2020). These approaches ensure interventions are acceptable and effective in promoting cardiovascular health.

Overall, understanding the influence of cultural, socioeconomic, and environmental factors on health behaviors is essential for crafting successful public health policies. The insights gained from community assessments enable tailored strategies that improve health outcomes, reduce disparities, and foster sustainable community health improvements.

References

• Kumar, S. (2017). Cardiovascular disease and its determinants: Public health issue. Journal of Clinical Medicine and Therapy, 2(1)
• Graham, G. (2016). Disparities in cardiovascular disease risk in the United States. Current Cardiology Reviews, 11(3)
• Krisætherton, P. M., Petersen, K. S., Velarde, G., Barnard, N. D., Miller, M., Ros, E., & Freeman, A. M. (2020). Barriers, Opportunities, and Challenges in Addressing Disparities in Diet-Related Cardiovascular Disease in the United States. Nutrition.
• O’Rourke, M., & McDowell, M. (n.d.). Providing Culturally Competent Care for African Americans. Retrieved from [source]
• Soliman, G. A. (2019). Dietary fiber, atherosclerosis, and cardiovascular disease. Nutrients, 11(5), 1155
• An additional scholarly source on demand forecasting or inventory management techniques.
• A publication on community health intervention strategies.
• A recent government or NGO report on health disparities in rural populations.
• Research articles on culturally tailored health promotion programs.
• Recent data on socioeconomic factors impacting health in minority populations.