IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i3p369-d92136.html
   My bibliography  Save this article

Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis

Author

Listed:
  • Yixiong Feng

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou 310027, China)

  • Zhaoxi Hong

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou 310027, China)

  • Jin Cheng

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou 310027, China)

  • Likai Jia

    (College of Environment and Resources, Jilin University, Changchun 130020, China)

  • Jianrong Tan

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou 310027, China)

Abstract

The problem of large amounts of carbon emissions causes wide concern across the world, and it has become a serious threat to the sustainable development of the manufacturing industry. The intensive research into technologies and methodologies for green product design has significant theoretical meaning and practical value in reducing the emissions of the manufacturing industry. Therefore, a low carbon-oriented product reliability optimal design model is proposed in this paper: (1) The related expert evaluation information was prepared in interval numbers; (2) An improved product failure analysis considering the uncertain carbon emissions of the subsystem was performed to obtain the subsystem weight taking the carbon emissions into consideration. The interval grey correlation analysis was conducted to obtain the subsystem weight taking the uncertain correlations inside the product into consideration. Using the above two kinds of subsystem weights and different caution indicators of the decision maker, a series of product reliability design schemes is available; (3) The interval-valued intuitionistic fuzzy sets (IVIFSs) were employed to select the optimal reliability and optimal design scheme based on three attributes, namely, low carbon, correlation and functions, and economic cost. The case study of a vertical CNC lathe proves the superiority and rationality of the proposed method.

Suggested Citation

  • Yixiong Feng & Zhaoxi Hong & Jin Cheng & Likai Jia & Jianrong Tan, 2017. "Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:369-:d:92136
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/3/369/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/3/369/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoyang Zhou & Canhui Zhao & Jian Chai & Benjamin Lev & Kin Keung Lai, 2016. "Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty," Sustainability, MDPI, vol. 8(6), pages 1-23, June.
    2. Jian Chai & Ting Liang & Xiaoyang Zhou & Yunxiao Ye & Limin Xing & Kin Keung Lai, 2016. "Natural Gas Consumption of Emerging Economies in the Industrialization Process," Sustainability, MDPI, vol. 8(11), pages 1-16, October.
    3. Yadav, Om Prakash & Singh, Nanua & Goel, Parveen S., 2006. "Reliability demonstration test planning: A three dimensional consideration," Reliability Engineering and System Safety, Elsevier, vol. 91(8), pages 882-893.
    4. Kim, Kyungmee O. & Yang, Yoonjung & Zuo, Ming J., 2013. "A new reliability allocation weight for reducing the occurrence of severe failure effects," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 81-88.
    5. Simon Li & Wei Zeng, 2016. "Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA)," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1309-1321, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Congguang Xu & Wei Xiong & Simin Zhang & Hailiang Shi & Shichao Wu & Shanju Bao & Tieqiao Xiao, 2025. "Research on the Nonlinear Relationship Between Carbon Emissions from Residential Land and the Built Environment: A Case Study of Susong County, Anhui Province Using the XGBoost-SHAP Model," Land, MDPI, vol. 14(3), pages 1-21, February.
    2. Xuedong Liang & Meng Ye & Li Yang & Wanbing Fu & Zhi Li, 2018. "Evaluation and Policy Research on the Sustainable Development of China’s Rare Earth Resources," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    3. Li, Huanhuan & Chen, Diyi & Arzaghi, Ehsan & Abbassi, Rouzbeh & Xu, Beibei & Patelli, Edoardo & Tolo, Silvia, 2018. "Safety assessment of hydro-generating units using experiments and grey-entropy correlation analysis," Energy, Elsevier, vol. 165(PA), pages 222-234.

    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. Rajkumar B. Patil & San Kyeong & Michael Pecht & Rahul A. Gujar & Sandip Mane, 2025. "Assessment of Reliability Allocation Methods for Electronic Systems: A Systematic and Bibliometric Analysis," Stats, MDPI, vol. 8(1), pages 1-32, January.
    2. Yadav, Om Prakash & Zhuang, Xing, 2014. "A practical reliability allocation method considering modified criticality factors," Reliability Engineering and System Safety, Elsevier, vol. 129(C), pages 57-65.
    3. Kim, Kyungmee O. & Zuo, Ming J., 2018. "Optimal allocation of reliability improvement target based on the failure risk and improvement cost," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 104-110.
    4. Rajiv Kumar Sharma, 2022. "Examining interaction among supplier selection strategies in an outsourcing environment using ISM and fuzzy logic approach," 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. 13(5), pages 2175-2194, October.
    5. Van Dyck, Jozef & Verdonck, Tim, 2014. "Precision of power-law NHPP estimates for multiple systems with known failure rate scaling," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 143-152.
    6. Awad, Mahmoud, 2016. "Economic allocation of reliability growth testing using Weibull distributions," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 273-280.
    7. Vedpal Arya & S. G. Deshmukh & Naresh Bhatnagar, 2019. "Product quality in an inclusive manufacturing system: some considerations," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2871-2884, December.
    8. Tang, Shuaishuai & Hou, Lei & Liu, Yueqi & Yang, Kai & Sun, Xingshen & Wang, Mincong & Zhang, Xiaoyu & Jiang, Lumeng, 2025. "Supply reliability allocation of natural gas pipeline network system based on composite allocation method," Reliability Engineering and System Safety, Elsevier, vol. 257(PB).
    9. Santosh B. Rane & Yahya A.M. Narvel & Niloy Khatua, 2017. "Development of mechanism for mounting secondary isolating contacts (SICs) in air circuit breakers (ACBs) with high operational reliability," 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. 8(2), pages 1816-1831, November.
    10. Davoud Jafari & Mehrzad Lohrasbi, 2018. "Performance Measurement and Ranking Organization’s Suppliers Based on Risk Factors Using a Hybrid Approach of FMEA and Multi-Criteria Decision Making Techniques: A Case Study," Modern Applied Science, Canadian Center of Science and Education, vol. 12(10), pages 149-149, October.
    11. Xiaolei Wang & Xuezhang Feng & Jinbo Liu & Jiangling Hong & Jinsong Yao & Honglei Liu & Zelin Liu & Guoqing Han, 2023. "Optimization of the Well Start-Up Procedure and Operating Parameters for ESP Gas Well Dewatering," Sustainability, MDPI, vol. 15(2), pages 1-12, January.
    12. Santosh B. Rane & Yahya A. M. Narvel, 2016. "Reliability assessment and improvement of air circuit breaker (ACB) mechanism by identifying and eliminating the root causes," 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. 7(1), pages 305-321, December.
    13. Luo, Wei & Zhang, Chun-hua & Chen, Xun & Tan, Yuan-yuan, 2015. "Accelerated reliability demonstration under competing failure modes," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 75-84.
    14. Jia Shao & Shuya Zhong & Mi Tian & Yuanyuan Liu, 2024. "Combining fuzzy MCDM with Kano model and FMEA: a novel 3-phase MCDM method for reliable assessment," Annals of Operations Research, Springer, vol. 342(1), pages 725-765, November.
    15. Gautam Dutta & Ravinder Kumar & Rahul Sindhwani & Rajesh Kr. Singh, 2021. "Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1679-1698, August.
    16. Hamza, Mostafa & Joslin, Nick & Lawson, Glen & McSweeney, Luke & Liao, Huafei & Vivanco, Alaina & Diaconeasa, Mihai A., 2024. "Identifying and quantifying a complete set of full-power initiating events during early design stages of high-temperature gas-cooled reactors," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    17. Ahmed, Hussam & Chateauneuf, Alaa, 2014. "Optimal number of tests to achieve and validate product reliability," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 242-250.
    18. Yufeng Chen & Guobin Huang & Lihua Ma, 2017. "Rockets and Feathers: The Asymmetric Effect between China’s Refined Oil Prices and International Crude Oil Prices," Sustainability, MDPI, vol. 9(3), pages 1-19, March.
    19. Ding, Rui & Liu, Zehua & Xu, Jintao & Meng, Fanpeng & Sui, Yang & Men, Xinhong, 2021. "A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    20. Linlin Liu & Dongming Fan & Zili Wang & Dezhen Yang & Jingjing Cui & Xinrui Ma & Yi Ren, 2019. "Enhanced GO methodology to support failure mode, effects and criticality analysis," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1451-1468, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jsusta:v:9:y:2017:i:3:p:369-:d:92136. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.