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Modelling the quality enabled factors of facility layout design stage of production system life cycle

Author

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  • Rajesh Attri

    (YMCA University of Science and Technology)

  • Sandeep Grover

    (YMCA University of Science and Technology)

Abstract

The aim of this paper is to identify and develop the structural cause and effect relationship among the various quality enabled factors that affect the facility layout design stage of production system life cycle. In the paper, nine factors are identified from literature survey and experts’ opinion and then these are validated by questionnaire survey. Then, interpretive structural modelling approach is utilized to obtain the structural relationship among these factors of facility layout design stage. This developed structural model not only provides a complete structural relationship among the various factors but also provides the direction to the manufacturing managers for designing and implementing appropriate policies in order to have efficient facility layout design. Moreover, classification of factors has been carried out on the basis of dependence and driving power with the help of MICMAC analysis in order to find the key factors of facility layout design stage.

Suggested Citation

  • Rajesh Attri & Sandeep Grover, 2017. "Modelling the quality enabled factors of facility layout design stage of production system life cycle," 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(1), pages 413-423, January.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-015-0386-y
    DOI: 10.1007/s13198-015-0386-y
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    References listed on IDEAS

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    1. Tilak Raj & Rajesh Attri, 2011. "Identification and modelling of barriers in the implementation of TQM," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 8(2), pages 153-179.
    2. R.V. Rao & D. Singh & F. Bleicher & C. Dorn, 2012. "Weighted Euclidean distance-based approach as a multiple attribute decision making method for manufacturing situations," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 2(3), pages 225-240.
    3. Tilak Raj & Rajesh Attri & Vineet Jain, 2012. "Modelling the factors affecting flexibility in FMS," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 11(4), pages 350-374.
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    Cited by:

    1. Mirco Peron & Giuseppe Fragapane & Fabio Sgarbossa & Michael Kay, 2020. "Digital Facility Layout Planning," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    2. M. Suresh & G. Mahadevan & R. Dev Abhishek, 2019. "Modelling the factors influencing the service quality in supermarkets," 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. 10(6), pages 1474-1486, December.
    3. Shailendra Kumar & Manik Gupta & Mohd Suhaib & Mohammad Asjad, 2021. "Current status, enablers and barriers of implementing cellular manufacturing system in sports industry through ISM," 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. 12(3), pages 345-360, June.
    4. André Luiz Romano & Luís Miguel D. F. Ferreira & Sandra Sofia F. S. Caeiro, 2021. "Modelling Sustainability Risk in the Brazilian Cosmetics Industry," Sustainability, MDPI, vol. 13(24), pages 1-26, December.

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