Abstract

Since decades, proper material selection plays an important and crucial role in an effective manufacturing system for superior production quality, cost optimization and improved productivity. Systematic selection of materials for a given engineering application begins with the study of different material selection properties and their related costs with specific application capabilities. Wrong selection of materials often leads to huge cost contribution and eventually drives an organization towards early product failure. So, the designers need to identify and select proper materials with specific functionalities in order to get the desired output with minimum cost involvement. But, the selection of proper materials for engineering applications is not an easy task to perform. While choosing the proper material for a specific industrial application, there is not always a single definite selection criterion. Designers need to consider a huge number of material selection-attributes and a large number of alternative materials with complex relationships between various attributes. A systematic, efficient and easy approach for material selection is thus required to help the manufacturing organizations for selecting the best material for a particular application. This paper focuses on the application of a compromise ranking method in the perspective of regret theory as a multiple-criteria decision-making (MCDM) tool for solving a material selection problem in a given manufacturing environment. A complete list of all the prospective materials from the best to the worst is obtained, taking into account different material selection attributes. The ranking performance of the proposed method is also compared with that of the original compromise ranking method.

Highlights

  • Over the centuries, materials play an important and crucial role for a manufacturing system to have value-added production, cost optimization and improved productivity

  • This method is developed to solve multiple-criteria decision-making (MCDM) problems with conflicting and non-commensurable criteria, assuming that compromise can be acceptable for conflict resolution, when the decision maker wants a solution that is the closest to the ideal solution and the alternatives can be evaluated according to all the established criteria

  • The original compromise ranking or Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method was basically introduced as an MCDM tool based on the particular measure of closeness to the ideal solution using a linear normalization technique

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Summary

Introduction

Materials play an important and crucial role for a manufacturing system to have value-added production, cost optimization and improved productivity. The designers need to identify and select proper materials with specific functionalities in order to obtain the desired output with minimum cost involvement and specific application ability. The main requirement may be the material strength for designing and manufacturing of a particular mechanical component, but depending on the working environment and functional performance, several other factors may have to be considered simultaneously. Selection of the most suitable material involves the study of a large number mechanical, thermal, electrical and physical properties with consideration of cost, operating environment, production process, market value, availability of supplying sources and product performance. For selection of materials, an efficient and organized approach is necessary to choose the best material for a particular application to ensure integrity between design, manufacturing objectives, functions, shape, process and materials. The actual performance of a particular material under different conditions may differ from the expectations

Research Reviews on Cutting Edge Techniques for Materials Selection
Compromise Ranking Method
Compromise-regret Theory-based Approach
Illustrative Example
Regret Theory-based Compromise Ranking Method
Performance Analysis
Conclusion and Discussion
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