Analytic Hierarchy Process And Analytic Network Process Essay

The second step is Decision Process Model this is putting information in a pattern and

TEKS:6.1.B use a problem-solving model that incorporates analyzing given information, formulating a plan or strategy, determining a solution, justifying the solution, and evaluating the problem-solving process and the reasonableness of the solution;

In the Army, there is a process that is very useful for finding a solution to many different problems. This process is called, “The Army problem solving process”, which is a seven-step process to come up with a solution to a problem. The first step in this process is to identify the problem. Once the problem has been identified, the next step is to gather information. It would be best to identify the pros and cons of the situation. The next step is to develop criteria. This is the perfect time to consider a possible solution, which brings us to the next step, generate a possible solution. This time, possible solutions are taken into consideration and comparing each of them. This is called analyzing and comparing the solution. Finally, in the last step, a decision is made and implemented. Unfortunately, there are some potential impediments that may interfere with the Army problem solving process. One perfect example would be, “The Tyranny of Choice” which is when there are so many choices that may interfere with the decision making process. The Army problem solving

We need to define the problem and determine where the root of the problem is. Then we find a solution to that problem and start to plan how we are going to implement that

“It aims to produce the optimal solution by comparing options (ADRP 6-0, 2-8).” According to mission command, analytic decisionmaking is:

You will be using a 5-step critical thinking problem-solving process, IDEAS, to work through any problems to determine a solution for this project and for any other problems you encounter.

Additionally I would like to present, the following information which was located at the following website: Structured Decision Making.

First I broke down the criteria in this report and assigned weights. The weights determine which level of importance each criterion had. The higher weight figure was, the more important that aspect was. After the weights were determined,

Step 3: Construct a skeleton: This is where you construct your ideas and theories, connecting the support of your topic.

In the given case, there are five projects including Whalen Court, Gopher Place, Stadium Remodel, Goldie’s Square and The Barn. All of these projects were under consideration for the purpose of implementation. Each of the projects has its own cost and benefits on the performance of Target Corporation. The process of choosing one of the projects which has high Net Present Value and Internal Rate of Return is very important for the company as capital investment has a significant impact on the short term and long term profitability of the company. As a result, the ultimate objective of the case is to carry out an analysis which might help in ranking the projects so that the company would come up with the decision for acceptance and rejection of the

The Decision Matrix is made up of eight criteria for comparison, to analyze the five concept solutions based on the datum. Accuracy and price were weighted

The following explanation is structured based on the decision making model: Define the problem (A), Analyze Alternatives (B), Make a Choice (C), Take Action (D), Evaluate Result (E). For each of the steps in the decision-making process, I will list each situation in order (1-4) stated in Case 9, W-115.

In this case study, I will first establish and outline the problem featured, then introduce solutions to the problem and how to implement them, and end with a brief conclusion.

Multi-criteria (or) attribute decision making (MCDM/MADM) methods have very high applications in industries for solving real world engineering problems. In the present work, MCDM methods of weighted sum method (WSM), Weighted Products Method (WPM) and TOPSIS, have been employed for the computational analysis of multi-responses. AA7075 has been taken as work piece for the experimentation and the experiments were done on CNC lathe as per the Taguchi’s standard L9 Orthogonal Array. The cutting parameters of speed, feed and depth of cut were taken as experimental inputs and Material Removal Rate (MRR) and Surface Roughness (Ra) were considered as responses. From the Weighted sum method (WSM) and Weighted Products Method (WPM) the optimal combination for multi-responses were found at ninth alternative, i.e. speed: 2000 rpm, feed: 0.4 mm/rev and depth of cut: 0.75 mm. Similarly, from the TOPSIS results, the optimal combination for multi-responses were found at seventh alternative, i.e. speed: 2000 rpm, feed: 0.2 mm/rev and depth of cut: 1 mm. Analysis of variance (ANOVA) has been done by using MINITAB-16 statistical software to find the influence of cutting parameters on the multi-responses. From the ANOVA results of WSM, WPM and relative closeness coefficient (C+) of TOPSIS, it is found that feed rate has high influence (For WSM, WPM and C+ the F values are 60.50, 60.30 and 91.42 respectively) in affecting the multi-responses.

Since some risks have a higher impact than others, it’s better to treat all risks uniquely. The risks that can cause the biggest losses, should have the biggest importance weights. It’s the same for criteria, each criterion has a relative importance weight comparing to other criteria.