Multiple-criteria decision-making (MCDM) for Optimal Selection

Obtained from Marco Dean (2022)

In today’s complex world, decision-making is not always straightforward. There are often multiple factors to consider, and each factor has its own weight in the decision-making process. MCDM is a powerful tool that can help decision-makers evaluate and select the best option based on multiple criteria.

This project aims to use MCDM to optimize the selection process. The project consists of three main steps: identification of decision criteria, weighting of criteria, and evaluation of alternatives.

In the first step, decision criteria are identified. This involves determining the factors that are relevant to the decision-making process. For example, if the decision is about choosing a new supplier, criteria such as price, quality, and delivery time might be identified.

In the second step, the criteria are weighted based on their relative importance. This involves assigning a numerical value to each criterion that reflects its importance in the decision-making process. The weights are then used to calculate the overall score for each option.

In the third step, the alternatives are evaluated based on the criteria and their weights. The option with the highest overall score is then recommended as the best option.

The goal of this project is to provide decision-makers with a systematic way to evaluate and select the best option based on multiple criteria. By using MCDM, decision-makers can be confident that they are making an informed decision that takes into account all relevant factors. This project has the potential to improve decision-making processes in a variety of industries, including manufacturing, healthcare, and finance.

Ali Feizabadi
Ali Feizabadi
Data Scientist, Data Engineer