Decision Analysis : Decision Tree Format Essay

Decision making is defined as "the cognitive process leading to the selection of a course of action among alternatives" (Decision Making, 2006, para. 1). Decisions are made continually throughout our day.

Top-level executives and key managers are at the helm of the decision-making process with the focal point being selecting the best choice. Selecting the best choices or alternative of choices derive from assessments, interviews, surveys and audits that evaluates the strategic position of the selected choices. Consequently, the chief executive officer at some point should show how the middle-managers, front-line managers, employees and client fit into the decision-making process.

A. In order to improve the current workflow in the plant, I recommend using the work stations layout tool whether through the Excel or POM program. This will help to show a clearer picture of the work flow that is present at Shuzworld, with allotting equal times in each work station. This will enable the company to find the shortest time to be used in each station for optimal performance and production of all shoes. Decision Analysis has been established to advance theory, application, and teaching of all aspects of decision-making methods.

I was asked to provide a distribution pattern that minimizes shipping costs and provides adequate availability and demand. I used transportation modeling to solve this problem. Transportation modeling is “an interactive procedure that finds the least costly means of moving products from a series of sources to a series of destinations” (Heizer & Render, 2011). This tool is used to determine the best distribution pattern for multiple locations. It is best for this problem because it allows for us to determine how many products can be held at each location to give Shuzworld the lowest shipping costs. The original setup had an optimal shipping cost of $13,600. It had 1300

* Sample: The sample is limited to a small proportion of working professionals in Western Sydney and may not accurately reflect the population of working professionals.

Information is data that has been processed so that it has meaning and value to a recipient,

Data comprises of factual information. Data are the facts from which information is derived. Data is not necessarily informative on its own but needs to be structured, interpreted, analysed and contextualised. Once data undergoes this process, it transforms in to information. Information should be accessible and understood by the reader without needing to be interpreted or manipulated in any way.

Collecting data has been a decades old practice of educators. The No Child Left Behind (NCLB) Act prompted front-runners in education to ascertain the importance of data in jump starting and carrying out school improvement plans. Student achievement across all socioeconomic frontiers in low performing schools was the basis for this legislation. Districts across the country were ushered into using data to drive instruction, decision-making, and to formulate collaborative groups to achieve goals. This is done in an effort to ensure that all Title 1 schools receiving funding make annual yearly progression (AYP).

Organizational behavior helps managers to improve the organization in a good way. Decision making process is the one of the behavior in human organizational behavior. According to McShane and Von Glinow (2000), “decision making a conscious process of making choices among one or more alternatives with the intention of moving toward some desired state of affairs”. Decision making is a linear process and it includes six steps such as identifying the problems, gather and evaluate data, list and evaluate alternatives, select best action, implement the decision and getter feedback (refer to Figure 1 in Appendix 1).

With the increased and widespread use of technologies, interest in data mining has increased rapidly. Companies are now utilized data mining techniques to exam their database looking for trends, relationships, and outcomes to enhance their overall operations and discover new patterns that may allow them to better serve their customers. Data mining provides numerous benefits to businesses, government, society as well as individual persons. However, like many technologies, there are negative things that caused by data mining such as invasion of privacy right. This paper tries to explore the advantages as well as the disadvantages of data mining. In addition, the ethical and global issues regarding the use of data mining

1. Create a strategy to leverage the knowledge base of the practice against the value of knowledge within the developing ACOs.

As shown in the Exhibit, a rather simple but detailed decision tree has been made which represents the various options for George. The financial outcomes for the three different amounts of t-shirts that he can provide are presented in tabular form, in the Appendix. Table 1 shows profit outcomes for ordering 5000 shirts, Table 2 shows profit outcomes for

We have to think about the qualitative factors that are involved in our decision making too. In the decision making process, as we saw in a case called The Nancy M. Hohman, we saw that many times the numbers will not speak louder than our personal preferences. The Nancy M. Hohman was a less than one year old ship, worthy US$ 40 million, carrying 200,000 tons of crude oil and 28 crew members and had an engine malfunction 9 miles way off the coast of South Africa. However, Port Elizabeth (the nearest one) was too small for the ship and the next close one was 380 miles away.

The decision is to select an action among a number of actions that solves a given problem, that prevents a problem from happening, or that forces to apply new ideas for development. The need for understanding decision making process is increasing because the complexity of modern organizations is increasing, and because the modern organizations' effectiveness depends on the decisions made by the managers. The question is how to select the most appropriate action to solve the problem satisfying all stakeholders.

Content-based: In this method, the system learns to recommend items that are similar to the ones that the user liked in the past. The similarity of items is calculated based on the features associated with the compared items. For example, if a user has highly rated a movie that belongs to the comedy genre, then the system can learn to recommend other movies from this genre. Some of the advantages of content-based systems include their ability to exploit just the ratings provided by the active user to build his own profile. On the other hand, collaborative filtering methods need ratings from different users. Explanations on how the recommender system works can be provided by explicitly listing content features that caused an item to occur in the list of recommendations. Also, content-based recommenders are capable of recommending items not yet rated by any user. Thus, they do not suffer from the first-rater problem, which affects collaborative recommenders. One of the disadvantages of the content-based systems are that they need domain knowledge to generate recommendations.