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Sustainable Project Choice: Integrating Must-Be Kano and Fuzzy Logic for Optimal Project Selection

SSRN, ISSN: 1556-5068
2024
  • 0
    Citations
  • 65
    Usage
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    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    65

Article Description

In today's competitive global markets, organizations increasingly recognize the necessity of prioritizing projects that improve financial performance and address resource conservation, environmental protection, and community well-being. This study introduces a novel approach to enhance the Sustainable Project Selection (SPS) process, which is crucial for meeting these multidimensional demands. We present a two-stage methodology that combines the Fuzzy Kano model with a modified Fuzzy Inference System (FIS) for a comprehensive evaluation of projects across the triple bottom line: economic, environmental, and social. The first stage utilizes the Fuzzy Kano model to systematically cluster project requirements into categories, ensuring a deep understanding of the needs of customers and stakeholders. The second stage uses a modified FIS, rigorously evaluating projects against these needs. This integration improves project assessment, aligns with sustainability standards, and enhances decision-making. Applying this methodology in a case study in the automotive industry demonstrates its effectiveness in the SPS process. The results indicate improved accuracy and reliability in selecting projects, ensuring alignment with the triple-bottom-line concept of sustainability. This study contributes a unique perspective to sustainable engineering management, presenting a structured and analytical framework to help organizations make informed and strategically sustainable project selections, thus balancing financial performance with social and environmental responsibilities.

Bibliographic Details

Vikas Swarnakar; Malik Khalfan; Maher Maalouf; Raed Jaradat; Niamat Ullah Iben Hossain

Elsevier BV

Multidisciplinary; Sustainable project selection; Fuzzy Kano; Sustainability performance index; Fuzzy Inference System

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