IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v7y2016i1d10.1007_s13198-015-0357-3.html
   My bibliography  Save this article

Modeling and evaluation of product quality at conceptual design stage

Author

Listed:
  • Shashank Gupta

    (Birla Institute of Technology and Science, Pilani)

  • Srinivas Kota

    (Birla Institute of Technology and Science, Pilani)

  • Rajesh P. Mishra

    (Birla Institute of Technology and Science, Pilani)

Abstract

Quality of a product is a function of many variables. These have been identified, and modeled in terms of quality digraph. The nodes in the digraph represent the quality features and the edges represent the degree of influence among these. An equivalent matrix representation of the digraph is developed to define the product system quality function (PSQF). Quality index (QI) is defined as a ratio of the actual to the ideal values of PSQF. The designer may use this index to evaluate and compare alternative designs and choose the best among these from the perspective of quality. A high value of QI indicates that the product structure is closer to the ideal state. The presented model is illustrated with an example.

Suggested Citation

  • Shashank Gupta & Srinivas Kota & Rajesh P. Mishra, 2016. "Modeling and evaluation of product quality at conceptual design stage," 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 163-177, December.
    • Handle: RePEc:spr:ijsaem:v:7:y:2016:i:1:d:10.1007_s13198-015-0357-3
    DOI: 10.1007/s13198-015-0357-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-015-0357-3
    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/s13198-015-0357-3?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. Dekkers, Rob & Chang, C.M. & Kreutzfeldt, Jochen, 2013. "The interface between “product design and engineering” and manufacturing: A review of the literature and empirical evidence," International Journal of Production Economics, Elsevier, vol. 144(1), pages 316-333.
    2. Gao, Xueli & Barabady, Javad & Markeset, Tore, 2010. "An approach for prediction of petroleum production facility performance considering Arctic influence factors," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 837-846.
    3. Zhongsheng Hua & Jie Yang & Solomani Coulibaly & Bin Zhang, 2006. "Integration TRIZ with problem-solving tools: a literature review from 1995 to 2006," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 1(1/2), pages 111-128.
    4. Bruno Gagnon & Roland Leduc & Luc Savard, 2010. "From a conventional to a sustainable engineering design process: different shades of sustainability," Cahiers de recherche 10-09, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    5. 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.
    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. Pero, Margherita & Stößlein, Martin & Cigolini, Roberto, 2015. "Linking product modularity to supply chain integration in the construction and shipbuilding industries," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 602-615.
    2. Khalil, Y.F., 2019. "New statistical formulations for determination of qualification test plans of safety instrumented systems (SIS) subject to low/high operational demands," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 196-209.
    3. Luo, Xu & Ge, Zhexue & Zhang, ShiGang & Yang, Yongmin, 2021. "A method for the maintainability evaluation at design stage using maintainability design attributes," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    4. Mobin, Mohammadsadegh & Li, Zhaojun & Cheraghi, S. Hossein & Wu, Gongyu, 2019. "An approach for design Verification and Validation planning and optimization for new product reliability improvement," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    5. Wang, Shixuan & Syntetos, Aris A. & Liu, Ying & Di Cairano-Gilfedder, Carla & Naim, Mohamed M., 2023. "Improving automotive garage operations by categorical forecasts using a large number of variables," European Journal of Operational Research, Elsevier, vol. 306(2), pages 893-908.
    6. Barabadi, A. & Ayele, Y.Z., 2018. "Post-disaster infrastructure recovery: Prediction of recovery rate using historical data," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 209-223.
    7. Eichhorn Colombo, Konrad W., 2023. "Financial resilience analysis of floating production, storage and offloading plant operated in Norwegian Arctic region: Case study using inter-/transdisciplinary system dynamics modeling and simulatio," Energy, Elsevier, vol. 268(C).
    8. Rufo, M.J. & Martín, J. & Pérez, C.J., 2016. "A Bayesian negotiation model for quality and price in a multi-consumer context," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 132-141.
    9. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of risk modification due to safety barrier performance degradation in Natech events," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    10. Radostina A. Angelova & Daniela Sofronova, 2023. "Sustainable Textiles: Design of New Weave Patterns Based on Texts," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    11. Cannas, Violetta G. & Gosling, Jonathan & Pero, Margherita & Rossi, Tommaso, 2020. "Determinants for order-fulfilment strategies in engineer-to-order companies: Insights from the machinery industry," International Journal of Production Economics, Elsevier, vol. 228(C).
    12. Zhu, Andy Yunlong & von Zedtwitz, Max & Assimakopoulos, Dimitris & Fernandes, Kiran, 2016. "The impact of organizational culture on Concurrent Engineering, Design-for-Safety, and product safety performance," International Journal of Production Economics, Elsevier, vol. 176(C), pages 69-81.
    13. Nafissa Jibet & Pascal Le Masson & Benoit Weil & Blandine Chazelle & Dominique Laousse, 2023. "Renovating engineering departements' creation heritage to meet contemporary challenges: frugal validation patterns and constructive proof logics for new engineering rules," Post-Print hal-04074841, HAL.
    14. Amin Moniri-Morad & Mohammad Pourgol-Mohammad & Hamid Aghababaei & Javad Sattarvand, 2019. "Reliability-based covariate analysis for complex systems in heterogeneous environment: Case study of mining equipment," Journal of Risk and Reliability, , vol. 233(4), pages 593-604, August.
    15. Barabadi, Abbas & Tobias Gudmestad, Ove & Barabady, Javad, 2015. "RAMS data collection under Arctic conditions," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 92-99.
    16. Osiro, Lauro & Lima-Junior, Francisco R. & Carpinetti, Luiz Cesar R., 2014. "A fuzzy logic approach to supplier evaluation for development," International Journal of Production Economics, Elsevier, vol. 153(C), pages 95-112.
    17. Janina Milena Goldberg & Holger Schiele, 2019. "Innovating With Dominant Suppliers: Lessons From The Race For Laser Light," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-26, January.
    18. Sonal, S.D. & Ammanagi, S & Kanjilal, O & Manohar, C.S., 2018. "Experimental estimation of time variant system reliability of vibrating structures based on subset simulation with Markov chain splitting," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 55-68.
    19. Hamzeh Soltanali & A.H.S Garmabaki & Adithya Thaduri & Aditya Parida & Uday Kumar & Abbas Rohani, 2019. "Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing," Journal of Risk and Reliability, , vol. 233(4), pages 682-697, August.
    20. Naseri, Masoud & Baraldi, Piero & Compare, Michele & Zio, Enrico, 2016. "Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 66-82.

    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:ijsaem:v:7:y:2016:i:1:d:10.1007_s13198-015-0357-3. 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.