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Multivariate analysis and social media etiquette across platforms

Subject: Consumer Behavior

Paper Model: APA

Paper Type: Assignment

Total Words: 687

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Application of Multivariate Analysis
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Application of Multivariate Analysis

Based on the different choices consumers have when it comes to the color, body style and engine size the Multivariate analysis can  benefit each step of the production process. The production planning is not an easy process as it involves a large number of variables and dynamic factors driven by the uncertainties involved.  In order to choose the production plan with the help of multivariate technique we are going to use decision support system. This decision support system is likely to act as the production planner, which will offer a feasible and quick decision in the production planning process. In order to meet the production requirements the tool selected is decision support system, which is based upon the statistical multivariate consisting of logistic regressing and component analysis. In the production process, there are many multisource uncertainties prevailing in the system and the use of decision support system can increase the accuracy of daily production planning(Nichols, 2014).

Detailed production schedules are the need of every production manger and hence are being a complex problem over the years. In order to cope up with the uncertainness and complexities this detailed production schedule must be equipped with necessary decision support tools to dispatch the control from supervisor to the planer. Our proposed method as being the production manager is based upon the principle component analysis in order to lower down the dimension of shop floor data in addition to the logistic regression analysis. These methods can support our decisions in their role f predictive tool and provides the pre check for the daily production plan.  We can further improve our prediction accuracy and the data reduction techniques with the application of specialized methods for the logistic regression. Decision support system will work as the production planner, which will offer a feasible and quick decision in the production planning process(Obuchowski, 2005).


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