Week 2 Discussion Post_MGT3059

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3059

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Apr 3, 2024

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Week 2 Discussion Post Starlynn LaBeaux MGT3059 February 23, 2024 Good Evening, Class Select a product that you can purchase at a grocery store or at a discount retailer. Tylenol is the product I chose for our discussion. The 1982 recall was the reason I chose this product. Because of "cyanide-laced capsules," the product was recalled (Vise, 1982) . My goal in examining this incident was to see how the company rebounded from such a terrible disaster. McNeil Laboratories produced Tylenol in 1955. However, since 1985, multiple recalls of over- the-counter medications have harmed customer confidence, and Extra Strength Tylenol Capsules have been illegally manipulated. Identify the factors that would impact the demand for the product that you have selected. In our lesson, we learned that a forecast is often an estimate of future demand. It helps to anticipate and manage change while also reducing uncertainty (South University Lecture, 2017) . Conflicts, client preferences, and current trends all have the potential to influence product demand. Forecasting is an effective technique for optimizing operations, identifying dependencies, predicting problems, and devising backup plans. If you wish to develop a forecast of the demand for this product in a future month (or for other appropriate time period), identify what type of forecasting method would be appropriate. Determine appropriate forecasting strategies for this product, including naïve, moving averages, and exponential smoothing. The moving average forecasting approach will be used in this circumstance. Using data collected over some time, we may use this technique to forecast demand for the next period (South University Lecture, 2017) .
Identify the variables for which you would need values to be able to calculate an actual forecast for a future month (using the forecasting method you selected). The variables for which we would need values in order to compute a forecast for a future month are the number of periods, the sums of the actual demand, and the sum of the split numbers divided by the number of periods. Create an equation that you believe would accurately predict the demand for this product in a future month and solve the equation to derive a forecast for this product in the future month that you had selected. This figure serves as the basis for an equation that would accurately anticipate the demand for this product in the following month; In the case of N, the equation is J+A+S/3=F. For D, then A+S+O/3=F. References
South University Lecture. (2017). Forecasts and Errors, Can We Predict The Future? Operations Management. Vise, D. A. (1982, December 18). Tylenol: Signs of a Recovery . Retrieved from The Washington Post: https://www.washingtonpost.com/archive/business/1982/12/19/tylenol-signs-of-a-recovery/ bd16a39c-52ea-489f-a5a2-9438cb283e27/
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