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<p>Ever-increasing environmental damage and health concerns associated with conventional petroleum-based plastics pollution have sparked a global drive toward sustainable alternatives in packaging domain. Biopolymers, sourced from renewable biological materials such as microorganisms, plant and agro waste, and marine and animal by-products have emerged as promising candidates for developing sustainable packaging solutions due to their ability to be tweaked for desirable functional properties along with biodegradability. However, major challenges persist in aligning material change with explicit consumer requirements with prioritization to desired properties based on functional and non-functional expectations, cost, and consistent supply without compromising environmental goals. Consequently, there is a pressing need for integrated approaches that reconcile material performance, economic feasibility, and environmental sustainability for practical change. In this paper, we propose the PFS (performance–feasibility–sustainability) model for early-stage material selection for packaging that provides flexibility in parameter arrangements for better customer requirements, optimizing performance, supply chain feasibility, and safety assessments of the biopolymers. We elucidate with an example of replacing automobile car seat fabric normally covered with polyethylene with a flexible sustainable biopolymer. Customer requirements, their preferences for each category, along with the underlying parameters provided by domain specialists, are accurately aligned with our biopolymer database. We execute the PFS model to obtain the desired result using various weighed sum approaches like Weighted Sum Model (WSM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Quotient model. WSM suggested lignin as first choice of biopolymer for bio packaging. Polycaprolactone was recommended by the TOPSIS and Quotient model as output with the highest PFS Score. This is our attempt to develop a quantifiable agile methodology for early-stage material selection from a range of biopolymers intended for packaging applications.</p>

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The Performance, Feasibility, and Sustainability-Based Framework for Biomaterial Recommendation System for Packaging

  • 期刊论文

  • 发表日期：

    2026年3月20日

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  • Mudra Kapoor,
  • Soban Babu Beemaraj,
  • Amit Salvi,
  • Dibakar Biswas

摘要

Ever-increasing environmental damage and health concerns associated with conventional petroleum-based plastics pollution have sparked a global drive toward sustainable alternatives in packaging domain. Biopolymers, sourced from renewable biological materials such as microorganisms, plant and agro waste, and marine and animal by-products have emerged as promising candidates for developing sustainable packaging solutions due to their ability to be tweaked for desirable functional properties along with biodegradability. However, major challenges persist in aligning material change with explicit consumer requirements with prioritization to desired properties based on functional and non-functional expectations, cost, and consistent supply without compromising environmental goals. Consequently, there is a pressing need for integrated approaches that reconcile material performance, economic feasibility, and environmental sustainability for practical change. In this paper, we propose the PFS (performance–feasibility–sustainability) model for early-stage material selection for packaging that provides flexibility in parameter arrangements for better customer requirements, optimizing performance, supply chain feasibility, and safety assessments of the biopolymers. We elucidate with an example of replacing automobile car seat fabric normally covered with polyethylene with a flexible sustainable biopolymer. Customer requirements, their preferences for each category, along with the underlying parameters provided by domain specialists, are accurately aligned with our biopolymer database. We execute the PFS model to obtain the desired result using various weighed sum approaches like Weighted Sum Model (WSM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Quotient model. WSM suggested lignin as first choice of biopolymer for bio packaging. Polycaprolactone was recommended by the TOPSIS and Quotient model as output with the highest PFS Score. This is our attempt to develop a quantifiable agile methodology for early-stage material selection from a range of biopolymers intended for packaging applications.