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Productivity enhancement of assembly line by using Maynard operation sequence technique after identification of lean wastages

Author

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  • Raj Kumar
  • Parveen Kalra
  • Suman Kant

Abstract

The proper utilisation of available resources and appropriate time to complete a task play a crucial role to define the productivity of a line-based manufacturing industry. The high productivity is essential to meet customer demand. If the company fails to meet customer demand, it measures in terms of utilisation of available resources and time required to complete a task. An assembly line includes non-value-added activities and other wastages which lead to lower productivity. Keeping these views in this study, Maynard operation sequence technique (MOST) has been used to reduce cycle time, operation cost and maximise the utilisation of manpower after identification of lean wastages by using Toyota 3M model. The combination of lean manufacturing and MOST has been used as a technique which improves the efficiency of line by 11.23%. The statistical test has been performed by using R programming language to check the significance of applied technique.

Suggested Citation

  • Raj Kumar & Parveen Kalra & Suman Kant, 2020. "Productivity enhancement of assembly line by using Maynard operation sequence technique after identification of lean wastages," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 29(4), pages 463-482.
    • Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:463-482
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    Cited by:

    1. Santosh B. Rane & Sandesh Wavhal & Prathamesh R. Potdar, 2023. "Integration of Lean Six Sigma with Internet of Things (IoT) for productivity improvement: a case study of contactor manufacturing industry," 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(5), pages 1990-2018, October.

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