A-Cat Electronics Case Study

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Strategy

My plan for recovery would consist of A-Cat using the data they have collected and input it in to a bell-curve. This way the company can find the mean of each month of the year using data from the last several years. When they find the mean for each month, then they should find the standard deviation for each month. Doing so would give the company a better picture of projected company’s sale and how they should order products to meet the consumers demands. In addition to analyzing and comparing data, A-Cat should conduct a count of monthly inventory of what they have on-hand and subtract it from what they will need for the next month. Everyone knows that businesses fluctuate in sales from time to time without notice. The company should make sure to keep a backup inventory for those times, but, should not order extra products every month. Once the backup inventory is out or has been tapped into, then that’s when the company should order a set amount to keep on-hand inventory up to par. This will keep their inventory level somewhat balanced and ensure that the supplier will be happy as well.

Conclusion

In this milestone, I have provided a description of the scenario provided in the case study, which accurately identifies quantifiable factors that may affect operational performance, allows for the development of a problem statement, and proposes a strategy for resolving a company’s problem.

Sharma, J. (2013, September 06). A-CAT CORP.: FORECASTING. Retrieved July 09, 2017, from https://cb.hbsp.harvard.edu/cbmp/content/65524363

Quantitative Factors. (2016). Retrieved July 09, 2017, from http://www.myaccountingcourse.com/accounting-dictionary/quantitative-factors

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