AI Article Synopsis

  • Sustainable practices in manufacturing are essential but need to remain competitive in the market; this research focuses on integrating sustainability and agility in product development.
  • The study uses expert insights and mathematical techniques, particularly a Weighted Fuzzy Assessment Method (WFAM), to measure sustainability and agility components accurately.
  • A multi-functional electric bicycle case study demonstrates the effectiveness of the proposed methodology, showcasing how it can meet sustainability and market agility goals in product development.

Article Abstract

The integration of sustainable practices within manufacturing organizations has become a necessity. However, ensuring a competitive edge in the market remains pivotal for the success of these sustainability initiatives. This research introduces an approach to harmonize the influence of sustainability and agility within the product development process, enabling enterprises to pursue sustainable manufacturing while upholding robust market competitiveness. The significance of this study lies in its combined utilization of expert insights and mathematical techniques to gauge the components and sub-components of sustainability and agility, thereby enhancing the precision of assessment outcomes. This accomplishment was achieved through the application of a Weighted Fuzzy Assessment Method (WFAM) for evaluating both product sustainability and agility. Employing the Fuzzy Analytic Hierarchy Process (FAHP), the study assigned weights to elements and sub-elements. Subsequently, employing fuzzy logic based on these derived weights, the study assessed the sustainability and agility scores in the product development process. Demonstrating the effectiveness of this devised methodology, the research employed a multi-functional electric bicycle as a case study. The outcomes highlight the potential the proposed method in attaining the varied objectives of sustainability and agility in product development.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11277433PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e34138DOI Listing

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