Oregon Chainsaw Case

Oregon Chain Saw is a company that produces ambit saws which are built with either 17-inch or 21-inch drawing strings. The manager of the grinder located in Portland, Oregon, Lee Spencer, is trying to determine how umteen chains they will need to produce during the next course in company to meet market demand. Additionally, Spencer would like an musical theme of the number of workers that will be required for the expected take of production so that they can prepare ahead of time. In the enter, we were asked to take into account both the chains that are in cuticle for the replacement parts market as easy as those packaged for the production of new chain saws. Within the case we were given the demand per month for the outlast 3 years. The selective information is organized into 3 categories: chain demand for replacement market, chain demand for production of new products, and total chain demand. The last information we were given that was pertinent to the case was the time it took a worker to produce both the 17-inch chains and the 21-inch chains, as strong as the total minutes a worker would be able to work per month. Given all the data, we had to calculate the forecast using a couple different methods in order to determine which method would give us the most dead on target forecast.



In the end, we found the Linear backsliding method to be the best method, as there was a clear way with no indication of seasonal influences. This is evident by the data found on the surmount sheet as well as the answers to the following questions.
 
1. For the replacement parts market of the 17-inch chains, found on its demands over the last three years, suggest a method to forecast its monthly demands for the next year.
1). Display diagrammatically the demand pattern of the past three years.
Refer to Excel attachment.
2). Determine and defend your method of forecasting.
We used the Linear Regression method of forecasting because there was a clear foreshorten with no indication of seasonal influences.
3). Show the forecasting result...If you neediness to get a full essay, order it on our website: Ordercustompaper.com



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