Multicriteria Decision Making on 3D printers for economic manufacturing using Neutrosophic environment

Abstract

Multicriteria group decision-making scenarios with a large number of criteria values may be challenging for experts
to control. This is a result of the specialists' need to consider an excessive amount of data. They find it difficult to
make the optimal decision since the possibilities overwhelm them. We propose a novel multicriteria group decisionmaking method that methodically eliminates the initial set of criterion values in order to address this issue. One of the
most promising emerging technologies currently in development is an additive manufacturing (AM), which includes
3D printing. It has been hypothesized that 3D printing technology could eventually replace the conventional
production machinery that is commonly used in the industrial sector. Making conclusions through accurate figures is
difficult for decision-makers due to the complexity and ambiguity of reality. Neutrosophic ensembles are used to
tackle uncertainty and indeterminacy in a practical environment. By concentrating on ranking the smaller set of
criterion values, the proposed method enables the experts to carry out the group decision-making process. As a result,
a relaxed decision-making environment is created, allowing the experts to handle a reasonable amount of information
while still making decisions. To demonstrate the decision process of a 3D printer, we combine a single valued
Neutrosophic with hybrid score and accuracy function, the single valued Neutrosophic number ranking approach, and
the single valued Neutrosophic score and accuracy function. To determine the best attributes, the score function was
used to rank the total values of each possibility. Concrete examples have been given to support the suggested solution
to the multi-attribute decision-making problem (MADM).