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at the end of the case there is a "recommendation". task is to fill in the blanks and complete the statement in the end and provide your recommendation to the Hiho industry.

Question: Based on the data, should HiHo Industries purchase Manufacturer A or B to increase company profits? Method: . To support our recommendation, I calculated standard descriptive statistics of both manufacturers. This included average, median, minimum, maximum, and standard deviation statistics. I then created a table (Table 1) with descriptive statistics to show the results. To analyze current production of the two manufacturers, I made a time series plot (Figure 1) and then broke the production data into categories, I used the information in Table 1 and Figure 1 to support the recommendation. Assumptions: I made the following assumptions: Whatever we do we are going to keep running the purchased manufacturers plant after the purchase The two manufacturers' plants are the same price After the purchase of the selected manufacturer's plant there may be cost to improve them Production requirements will remain constant Analysis: To determine which manufacturer, we should purchase I decided to take a look at the current production of both Manufacturer A and B. My assumption was that the two manufacturers had similar production results. The descriptive statistics are reported in Table 1. . . Average Median Max Min StDev Manufacturer A 909.65 916.5 1093 684 94.3 Manufacturer B 1018.35 1015.5 1230 819 96.9 Table 1 - Descriptive Statistics of Manufacturer A and B Table 1 - Descriptive Statistics of Manufacturer A and B You can see from Table 1 that Manufacturer B makes almost ten percent more items than Manufacturer A, on average. This means that Manufacturer B either has greater demand, better processes, or other reasons to produce more. This average is based on 40 days of data, so no single day would have a large impact on the average. In addition, the median for both Manufacturer A and B is very close to the average which is indicative of a normal distribution Manufacturer B has also produced more items in a single day (1,230 maximum) and even their minimum is higher than Manufacturer A. A final discussion point is that the Manufacturer B production varies (standard deviation) slightly more than Manufacturer A, but this is negligible since Manufacturer B's average is also higher. After looking at the descriptive statistics I decided to look at production over time to see if there was any large variation in production 1300 975 650 Manufacturer A Manufacturer B 325 0 TIT 2-Jan-18 13-Jan-18 24-Jan-18 4-Feb-18 Figure 1. Time series plot of Manufacturer A and B The time series plot of the two manufacturers is presented in Figure 1. You can see that both manufacturers are increasing their production over time. It is also obvious that Manufacturer B has produced more product each day than Manufacturer A. Recommendation - Copy this statement and submit to Operations Management Assignment in the Activities tab. Based on this data, I recommend purchasing Manufacturer __. The descriptive statistics in Table 1 support this decision since Manufacturer_has a higher. This decision is also supported by Figure__where it is obvious that Manufacturer

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