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An integrated new product development framework – an application on green and low-carbon products

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  • Chun-Yu Lin
  • Amy H.I. Lee
  • He-Yau Kang

Abstract

Companies need to be innovative to survive in today's competitive market; thus, new product development (NPD) has become very important. This research constructs an integrated NPD framework for developing new products. In stage one, customer attributes (CAs) and engineering characteristics (ECs) for developing products are collected, and fuzzy interpretive structural modelling (FISM) is applied to understand the relationships among these critical factors. Based on quality function deployment (QFD), a house of quality is then built, and fuzzy analytic network process (FANP) is adopted to calculate the relative importance of ECs. In stage two, fuzzy failure mode and effects analysis (FFMEA) is applied to understand the potential failures of the ECs and to determine the importance of ECs with respect to risk control. In stage three, a goal programming (GP) model is constructed to consider the outcome from the FANP-QFD, FFMEA and other objectives, in order to select the most important ECs. Due to pollution and global warming, environmental protection has become an important topic. With both governments and consumers developing environmental consciousness, successful green and low-carbon NPD provides an important competitive advantage, enabling the survival or renewal of firms. The proposed framework is implemented in a panel manufacturing firm for designing a green and low-carbon product.

Suggested Citation

  • Chun-Yu Lin & Amy H.I. Lee & He-Yau Kang, 2015. "An integrated new product development framework – an application on green and low-carbon products," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(4), pages 733-753, March.
    • Handle: RePEc:taf:tsysxx:v:46:y:2015:i:4:p:733-753
    DOI: 10.1080/00207721.2013.798447
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    References listed on IDEAS

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    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    Cited by:

    1. Asadabadi, Mehdi Rajabi, 2017. "A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1049-1062.
    2. So Ra Park & Sung Tae Kim & Hong-Hee Lee, 2022. "Green Supply Chain Management Efforts of First-Tier Suppliers on Economic and Business Performances in the Electronics Industry," Sustainability, MDPI, vol. 14(3), pages 1-23, February.
    3. Amy H. I. Lee & He-Yau Kang, 2019. "A Multi-Criteria Decision-Making Model for Evaluating Senior Daycare Center Locations," IJERPH, MDPI, vol. 16(24), pages 1-21, December.
    4. Amy H. I. Lee & He-Yau Kang, 2024. "A Model for Developing a Mobile Payment Service Framework," Mathematics, MDPI, vol. 12(13), pages 1-25, June.

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