Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends

Abstract

As the number of alternative machines has increased and their technology has been continuously developed, the machine selection problem has attracted many researchers. This article reviews recent developments in applying multi-criteria decision-making (MCDM) methods for selecting machines in the manufacturing and construction industries. Selected articles are classified according to the application area and the applied MCDM method. By focusing on the last five years, this paper identifies recent trends in developing and using these methods. Results suggest that there has been a noticeable growth in the utilization of MCDM techniques for machine selection problems in both sectors. It is also noted that several decision-support tools and methods have been developed and successfully applied during this period. Accordingly, needs and directions for future research are discussed.

Decision Models for Selection of Industrial Robots—A Comprehensive Comparison of Multi-Criteria Decision Making

“…Step 3: The aggregate score for each alternative is calculated by summing up the weighted performance rating under all criteria using Equation (16).…”

“…The definition and utility of these attributes are also discussed in Table 1. ranges from stock selection [15] to manufacturing and construction [16] to Industry 4.0 [17]. Various methods have been proposed to determine an optimal robot for a given application.…”

Computer-Aided Choosing of an Optimal Structural Variant of a Robot for Extracting Castings from Die Casting Machines

“…It can solve discrete single-criteria and multi-criteria optimization problems in the presence of constraints, in the presence of incomplete compatibility between the components of the system, and also in the presence of polyfunctional components. The maximum number of objective and constraint functions is 10 each, and the maximum number of analyzed variants of the technical system is 20 20 .…”

“…In addition, there is a contradiction between the huge number of theoretical developments describing mathematical methods for optimization [16][17][18][19][20] and their application for solving the problem under consideration. This is due to both the lack of information and/or limited access to the latest modern methods, as well as the sometimes complex mathematical apparatus and "unfriendly" user interface of software products for the robot builders.…”

“…On the basis of an analysis of known methods, the present development proposes the use of two methods-the method of full combination and the method of consecutive analysis of variants. The first is used in problems with a smaller number of possible structural variants of the robot with up to 9 10 structural variants, and the second is based on a directed search for the optimal solution of problems with a dimension of up to 20 20 variants.…”