Live support chatCharacteristics of Ranking Problems with Multiple Attributes
In Characteristics of Ranking Problems with Multiple Attributes, you'll learn ...
- Multiple attribute decision making
- Multiple objective decision making
- Group decision making techniques
Overview
Preview a portion of this course before purchasing it.
Credit: 2 PDH
Length: 24 pages
In this course, a basic introduction will be provided of different types of methods that can be used to solve problems where a number of alternatives with various characteristics or attributes need to be ranked or selected. There are many different methods and approaches to solve these types of problems. The intent of this course is to provide a high-level overview of types of decision methodologies and then to focus specifically on the ranking or selection type of problem. This type of problem is called a multiple attribute decision making problem. These problems typically have a set of attributes that are used to measure the performance of an alternative and an approach is needed to help arrive at the best of the identified alternatives. The multiple attribute decision making problem is one of a very practical nature and we see it in decisions made personally, in industry and in the public section.
In an organization, there are typically limited resources. We are unable to launch every new product that we’d like because we don’t have the manpower, dollars or time available to do so. Additionally, when we consider how we may want to consider these decisions, the attributes associated with the decisions tend to conflict. For example, we may want to launch a product that improves our customer service but at the same time minimize our operating costs. These two attributes or decision criteria may conflict with each other.
Based on the data that is available and the circumstances around the decision, there are several methods that can be used to solve these problems. This course is intended to provide some background in ways to solve these types of problems. Other courses are under development that walk students through the specific computations associated with various methods.
Specific Knowledge or Skill Obtained
This course teaches the following specific knowledge and skills:
- Learn the main features of a multiple attribute decision making problem
- Understand the decision matrix used in these problems
- Understand what is meant by a non-compensatory model (trade-offs between attributes are not permitted)
- Understand what is meant by a compensatory model (trade-offs between attributes are permitted)
Certificate of Completion
You will be able to immediately print a certificate of completion after passing a multiple-choice quiz consisting of 10 questions. PDH credits are not awarded until the course is completed and quiz is passed.
| This course is applicable to professional engineers in: | ||
| Alabama (P.E.) | Alaska (P.E.) | Arkansas (P.E.) |
| Delaware (P.E.) | District of Columbia (P.E.) | Florida (P.E. Area of Practice) |
| Georgia (P.E.) | Idaho (P.E.) | Illinois (P.E.) |
| Illinois (S.E.) | Indiana (P.E.) | Iowa (P.E.) |
| Kansas (P.E.) | Kentucky (P.E.) | Louisiana (P.E.) |
| Maine (P.E.) | Maryland (P.E.) | Michigan (P.E.) |
| Minnesota (P.E.) | Mississippi (P.E.) | Missouri (P.E.) |
| Montana (P.E.) | Nebraska (P.E.) | Nevada (P.E.) |
| New Hampshire (P.E.) | New Jersey (P.E.) | New Mexico (P.E.) |
| New York (P.E.) | North Carolina (P.E.) | North Dakota (P.E.) |
| Ohio (P.E. Self-Paced) | Oklahoma (P.E.) | Oregon (P.E.) |
| Pennsylvania (P.E.) | South Carolina (P.E.) | South Dakota (P.E.) |
| Tennessee (P.E.) | Texas (P.E.) | Utah (P.E.) |
| Vermont (P.E.) | Virginia (P.E.) | West Virginia (P.E.) |
| Wisconsin (P.E.) | Wyoming (P.E.) | |
Preview a portion of this course before purchasing it.
Credit: 2 PDH
Length: 24 pages
