Decision Modeling for Appraising Material Handling Equipments under Qualitative Indices

  • Atul Kumar Sahu Department of Mechanical Engineering, National Institute of Technology, Raipur, India
  • Harendra Kumar Narang Department of Mechanical Engineering, National Institute of Technology, Raipur, India
  • Mridul Singh Rajput Department of Mechanical Engineering, National Institute of Technology, Raipur, India
Keywords: Material Handling Equipment, Generalized Interval-Valued Trapezoidal, Fuzzy Numbers (GIVTFNs) Modeling, Decision Support Framework, Assessment


Material handling equipments (MHEs) are the important part of every manufacturing and industrial firms, which remains involved during the process of manufacturing, distribution, consumption, disposal etc. Assessing the importance of MHE is crucial and it can influence the profit of the concerned firm. Thus, in this work, the authors responded towards MHE characteristics and equipped an assessment platform for appraising MHE indices, which can be utilized in defining the status of the indices relating the MHE. A Multi-Criterion Decision Making (MCDM) framework under the arena of Material Handling Equipment (MHE) is developed by the authors and a decision support model is presented by the authors to describe the level of the indices pertaining to the selection of MHE. Modeling based on Generalized Interval-Valued Trapezoidal Fuzzy Numbers (GIVTFNs) is presented to reciprocate towards the uncertainty and impreciseness of the MHE indices. A single level hierarchy platform is presented by the authors for demonstrating the scientific realization of the projected work. A fuzzy performance important index framework for MHE indices is discussed in this study to recognize the strong and ill MHE indices. In this study, the authors presented a decision support framework, which can clutch the subjective views of the decision makers. In this study, the chief objective of the authors is to distribute methodological way for determining the importance of distinguishes MHE indices.


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