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An evaluation tool for sustainable new product development using analytic hierarchy process approach

Author

Listed:
  • P.L. Biju
  • P.R. Shalij
  • G.V. Prabhushankar

Abstract

Inclusion of sustainability aspects in the very beginning of product development has emerged as an integral part of design process in recent years. Manufacturing organisations are striving to satisfy sustainability requirements (SRs) in their products not only to improve brand value but also as a social commitment towards the future generation. This perspective has urged researchers to develop tools to satisfy SRs in the early stages of product development. In this paper, a tool 'sustainable path modelling (SPM)' has been proposed to identify most suitable options in different stages of product development by evaluating SRs and customer requirements (CRs) separately by applying analytic hierarchy process (AHP). A case study has been conducted to assess and validate the efficiency of the proposed methodology.

Suggested Citation

  • P.L. Biju & P.R. Shalij & G.V. Prabhushankar, 2017. "An evaluation tool for sustainable new product development using analytic hierarchy process approach," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 11(4), pages 393-413.
    • Handle: RePEc:ids:ijisde:v:11:y:2017:i:4:p:393-413
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    Citations

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    Cited by:

    1. Marco Bertoni, 2019. "Multi-Criteria Decision Making for Sustainability and Value Assessment in Early PSS Design," Sustainability, MDPI, vol. 11(7), pages 1-27, April.
    2. Hadi Gholizadeh & Hamed Fazlollahtabar, 2021. "Analysis of new product development between product innovation and product financial performance assessment: a case of Doosheh Dairy Company," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18556-18581, December.
    3. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.

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