IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i10d10.1007_s10668-021-01284-5.html
   My bibliography  Save this article

Sustainable design of the household water treatment systems using a novel integrated fuzzy QFD and LINMAP approach: a case study of Iran

Author

Listed:
  • Abdolvahhab Fetanat

    (Islamic Azad University)

  • Mohsen Tayebi

    (Islamic Azad University)

Abstract

There is a high possibility that pursuit of water policies goals which could have impacts on water security. Decision makers are interested in developing the water management systems to establish sustainable demand for secured water. The aim of the paper is to analyze the sustainability indicators (SIs) related to designing of the household water treatment system (HWTS). Thirteen criteria like solid waste, liquid waste, air pollution, initial cost, operation and maintenance costs, transport cost, satisfaction, purchasing power, social acceptance, health, reliability, after sales service, and technological capacity in four categories including environmental, economic, social and technical aspects have been considered. These criteria affect HWTS. These criteria are evaluated by taking into account the customer requirements (CRs) and design requirements (DRs) of HWTS. The objective of this study is to design sustainable HWTSs. This is achieved by an analytical approach integrating quality function deployment (QFD) and a linear programming technique for multidimensional analysis of preference (LINMAP) under fuzzy environment for guiding HWTSs manufactures. Fuzzy QFD-LINMAP approach is used to investigate the roles of the study criteria and the interrelationships between them. The HWTSs development in the city of Behbahan, Iran, is considered. The findings indicate that operation and maintenance costs (with value of 0.0522) is the most important sustainability indicator in the CRs and the least important is technical capacity (with value of 0.1096). The most important sustainability indicator in DRs is purchasing power (with value of 0.0207), and the least important is liquid waste (with value of 0.1469). The results show that sustainability strategies are selected for water treatment systems constraints and the model provides compromise solutions to help decision makers evaluate suitable water policy mix.

Suggested Citation

  • Abdolvahhab Fetanat & Mohsen Tayebi, 2021. "Sustainable design of the household water treatment systems using a novel integrated fuzzy QFD and LINMAP approach: a case study of Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15031-15061, October.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:10:d:10.1007_s10668-021-01284-5
    DOI: 10.1007/s10668-021-01284-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01284-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-021-01284-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Long & Sovacool, Benjamin K. & Ren, Jingzheng & Ely, Adrian, 2017. "The Dragon awakens: Innovation, competition, and transition in the energy strategy of the People’s Republic of China, 1949–2017," Energy Policy, Elsevier, vol. 108(C), pages 634-644.
    2. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2016. "A multi-phased QFD based optimization approach to sustainable service design," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 165-178.
    3. Kahraman, Cengiz & Ertay, Tijen & Buyukozkan, Gulcin, 2006. "A fuzzy optimization model for QFD planning process using analytic network approach," European Journal of Operational Research, Elsevier, vol. 171(2), pages 390-411, June.
    4. Pankaj Chowdhary & Ram Naresh Bharagava, 2020. "Green technologies and environmental sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 2699-2701, March.
    5. Lam, Jasmine Siu Lee & Bai, Xiwen, 2016. "A quality function deployment approach to improve maritime supply chain resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 16-27.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Xin & Nie, Lei & Xu, Meng, 2017. "Robust fuzzy quality function deployment based on the mean-end-chain concept: Service station evaluation problem for rail catering services," European Journal of Operational Research, Elsevier, vol. 263(3), pages 974-995.
    2. Lam, Jasmine Siu Lee & Zhang, Xiunian, 2019. "Innovative solutions for enhancing customer value in liner shipping," Transport Policy, Elsevier, vol. 82(C), pages 88-95.
    3. Sunida Tiwong & Sakgasem Ramingwong & Korrakot Yaibuathet Tippayawong, 2020. "On LSP Lifecycle Model to Re-design Logistics Service: Case Studies of Thai LSPs," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    4. Li, Yan-Lai & Tang, Jia-Fu & Chin, Kwai-Sang & Jiang, Yu-Shi & Han, Yi & Pu, Yun, 2011. "Estimating the final priority ratings of engineering characteristics in mature-period product improvement by MDBA and AHP," International Journal of Production Economics, Elsevier, vol. 131(2), pages 575-586, June.
    5. Iranmanesh, Hossein & Thomson, Vince, 2008. "Competitive advantage by adjusting design characteristics to satisfy cost targets," International Journal of Production Economics, Elsevier, vol. 115(1), pages 64-71, September.
    6. Gulnur Kecek & Omer Can Akinci, 2016. "Quality Function Deployment and an Application in an Insurance Company," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(4), pages 111-135, April.
    7. K. Arunprasath & S. Bathrinath & R. K. A. Bhalaji & Koppiahraj Karuppiah & Anish Nair, 2023. "An integrated approach to modelling of barriers in implementation of cellular manufacturing systems in production industries," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1370-1378, August.
    8. Chen, Yi & Ding, Shuai & Zheng, Handong & Zhang, Youtao & Yang, Shanlin, 2018. "Exploring diffusion strategies for mHealth promotion using evolutionary game model," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 148-161.
    9. Anita Engels, 2018. "Understanding how China is championing climate change mitigation," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-6, December.
    10. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    11. Jędrzej Charłampowicz, 2018. "Supply Chain Efficiency On The Maritime Container Shipping Markets – Selected Issues," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 357-368.
    12. Pınar Kaya Samut, 2017. "Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(3), pages 427-450, May.
    13. Zhou, Yusheng & Li, Xue & Yuen, Kum Fai, 2022. "Holistic risk assessment of container shipping service based on Bayesian Network Modelling," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    14. Maria Ghufran & Khurram Iqbal Ahmad Khan & Fahim Ullah & Wesam Salah Alaloul & Muhammad Ali Musarat, 2022. "Key Enablers of Resilient and Sustainable Construction Supply Chains: A Systems Thinking Approach," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    15. Huibing Cheng & Shanshui Zheng & Jianghong Feng, 2022. "A Fuzzy Multi-Criteria Method for Sustainable Ferry Operator Selection: A Case Study," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    16. Yingjie Fan & Frank Schwartz & Stefan Voß & David L. Woodruff, 2017. "Stochastic programming for flexible global supply chain planning," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 601-633, December.
    17. Bagloee, Saeed Asadi & Sarvi, Majid & Wolshon, Brian & Dixit, Vinayak, 2017. "Identifying critical disruption scenarios and a global robustness index tailored to real life road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 60-81.
    18. Zhang, Xiunian & Lam, Jasmine Siu Lee, 2018. "Shipping mode choice in cold chain from a value-based management perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 147-167.
    19. Zheng, Guozhong & Jing, Youyin & Huang, Hongxia & Shi, Guohua & Zhang, Xutao, 2010. "Developing a fuzzy analytic hierarchical process model for building energy conservation assessment," Renewable Energy, Elsevier, vol. 35(1), pages 78-87.
    20. Chen, Shuo-Pei & Wu, Wann-Yih, 2010. "A systematic procedure to evaluate an automobile manufacturer-distributor partnership," European Journal of Operational Research, Elsevier, vol. 205(3), pages 687-698, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:23:y:2021:i:10:d:10.1007_s10668-021-01284-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.