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<p>Optimization of a system with a number of varied objectives may necessitate adopting multi-objective optimization techniques such as multi-criteria decision-making (MCDM) methodologies to obtain optimal results among several contradictory-natured performance indices. MCDM methodologies provide effective solutions for several objectives (criteria) by assigning weights to each of the criteria based on their importance, followed by ranking the alternatives (solutions). In the current study, the latest successor of the Combined Compromise Solution (CoCoSo), named Combined Compromise for Ideal Solution (CoCoFISo), has been adopted to optimize wire electrical discharge machining (W-EDM) performances of an Inconel 718 superalloy. Weights of each criterion (i.e., spark energy, cutting velocity, wire vibration amplitude, spark gap, and surface roughness) are determined through 07 different objective weighting techniques; the employed weighting techniques are <i>namely</i>, equal weight (EQW), principal component analysis (PCA), entropy weight (ENW), criteria importance through inter-criteria correlation (CRITIC), method based on removal effects of criteria (MEREC), symmetry point of criterion (SPC), and logarithmic percentage change-driven objective weighting (LOPCOW). Although the CoCoSo is a proven MCDM method for solving complex multi-variable assessment problems, it has been demonstrated that the CoCoFISo performs superior (<i>for instance</i>, spark energy 2700 µJ and cutting velocity 3.90&#xa0;mm/min indicated by CoCoFISo) to CoCoSo in determining the best optimal values of the performance indices and surpasses shortages noticed in CoCoSo (i.e., spark energy 900 µJ and cutting velocity 3.05&#xa0;mm/min). The CoCoFISo technique delivers stable outcomes irrespective of different weighting techniques assigned to criteria.</p> Graphical abstract <p></p>

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Optimization of W-EDM process for superalloy by different objective weight integrated MCDM - a comparative study of CoCoSo and CoCoFISo methods

  • 期刊论文

  • 发表日期：

    2025年9月6日

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  • Satesh Sah,
  • Santanu Sardar,
  • Debdulal Das

摘要

Optimization of a system with a number of varied objectives may necessitate adopting multi-objective optimization techniques such as multi-criteria decision-making (MCDM) methodologies to obtain optimal results among several contradictory-natured performance indices. MCDM methodologies provide effective solutions for several objectives (criteria) by assigning weights to each of the criteria based on their importance, followed by ranking the alternatives (solutions). In the current study, the latest successor of the Combined Compromise Solution (CoCoSo), named Combined Compromise for Ideal Solution (CoCoFISo), has been adopted to optimize wire electrical discharge machining (W-EDM) performances of an Inconel 718 superalloy. Weights of each criterion (i.e., spark energy, cutting velocity, wire vibration amplitude, spark gap, and surface roughness) are determined through 07 different objective weighting techniques; the employed weighting techniques are namely, equal weight (EQW), principal component analysis (PCA), entropy weight (ENW), criteria importance through inter-criteria correlation (CRITIC), method based on removal effects of criteria (MEREC), symmetry point of criterion (SPC), and logarithmic percentage change-driven objective weighting (LOPCOW). Although the CoCoSo is a proven MCDM method for solving complex multi-variable assessment problems, it has been demonstrated that the CoCoFISo performs superior (for instance, spark energy 2700 µJ and cutting velocity 3.90 mm/min indicated by CoCoFISo) to CoCoSo in determining the best optimal values of the performance indices and surpasses shortages noticed in CoCoSo (i.e., spark energy 900 µJ and cutting velocity 3.05 mm/min). The CoCoFISo technique delivers stable outcomes irrespective of different weighting techniques assigned to criteria.

Graphical abstract