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Quantitative Analysis for decision making class
1- linear regression is great tool for use in statistics and most research applications. Several companies use it to develop forecasting models and to optimize resource utilization. Thus, using it in the logistics and supply chain is more difficult because of many variables, such as labor, demand, multiple suppliers,inventory, etc. How do you evaluate which variables are more important for your forecasting model and how do you know that your forecast is accurate?
2- outliers will help researchers to determine the cause of the faulty measurements (process or measurement tool failure). Based on the grouping of outliers, researchers will deduce if the results are "false positives" or if the error is part of the process setup. what are some of the possible consequences of considering that outliers are "false" positives? How will you reduce number of outliers in your study?
An analysis of the holding costs, including the appropriate annual holding cost rate.
Prepare a staffing plan showing the change of your unit from medical/surgical staffing to oncology staffing.
Ccompare the effectiveness of different leadership styles in different organizations
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Recognise the importance of a strategic approach to the development and deployment of organisational information systems. Demonstrate an understanding of the importance of databases and their integration to the organisation's overall information mana..
Discuss the use of PERT/CPM techniques for managing projects. Describe what PERT/CPM does. Discuss advantages and disadvantages of using it.
Develop a report for Figi Fabricating that will address the question of whether the company should continue to purchase the part from the supplier or begin to produce the part itself.
Determine the problem as stochastic dynamic programming problem. Specify phases, states, decisions and the optimal value function.
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Find one scholarly journal article reporting on one or more of the following techniques: business/predictive analytics, dashboards, decision support systems, supply chain management.
Be able to understand the concept of risk, roles and responsibilities for risk management and risk management tools and models.
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