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<p>Vermicomposting, a bioconversion process that uses earthworms to decompose organic waste, has emerged as an eco-friendly solution for producing nutrient-rich compost. Despite its potential sustainability benefits, many educational institutions hesitate to adopt vermicomposting due to high costs and limited expertise. In educational institutions, where waste management and sustainability are critical, implementing efficient vermicomposting systems is essential. This study addresses this gap by proposing an integrated approach that combines the technique for order preference by similarity to the ideal solution (TOPSIS) with mathematical modeling to optimize the setup cost and production time of vermicompost plants. The multi-objective optimization model is solved using the neutrosophic compromise programming approach (NCPA) and inherent uncertainties efficiently captures through an advanced uncertain tool using trapezoidal neutrosophic number. Key components of the study include detailed criteria selection via TOPSIS and validation through a real-life case study at VIT Vellore. The study demonstrates optimal cost and time objective function values of 16,673 and 6036 units, respectively. The findings underscore a strong commitment to promote sustainable practices, significantly contributing to waste reduction, enhancing soil enrichment, and fostering environmental stewardship.</p>

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An Integrated MCDM-Based Mathematical Modeling Approach for Sustainable Practices of Vermicomposting in Educational Institutions

  • 期刊论文

  • 发表日期：

    2025年2月5日

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  • Mayank Singh Bhakuni,
  • Utpal Das,
  • Pooja Bhakuni,
  • S. Ramesh Kumar,
  • Amrit Das

摘要

Vermicomposting, a bioconversion process that uses earthworms to decompose organic waste, has emerged as an eco-friendly solution for producing nutrient-rich compost. Despite its potential sustainability benefits, many educational institutions hesitate to adopt vermicomposting due to high costs and limited expertise. In educational institutions, where waste management and sustainability are critical, implementing efficient vermicomposting systems is essential. This study addresses this gap by proposing an integrated approach that combines the technique for order preference by similarity to the ideal solution (TOPSIS) with mathematical modeling to optimize the setup cost and production time of vermicompost plants. The multi-objective optimization model is solved using the neutrosophic compromise programming approach (NCPA) and inherent uncertainties efficiently captures through an advanced uncertain tool using trapezoidal neutrosophic number. Key components of the study include detailed criteria selection via TOPSIS and validation through a real-life case study at VIT Vellore. The study demonstrates optimal cost and time objective function values of 16,673 and 6036 units, respectively. The findings underscore a strong commitment to promote sustainable practices, significantly contributing to waste reduction, enhancing soil enrichment, and fostering environmental stewardship.