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Combining lean tools application in kaizen: a field study on the printing industry

Author

Listed:
  • Chi On Chan
  • Huay Ling Tay

Abstract

Purpose - The purpose of this paper is to highlight the lessons learned from two kaizen events for productivity improvement in a printing company. The paper suggests how to organize lean tools to improve productivity through the use of organized kaizen events in the printing industry to meet defined targets. Design/methodology/approach - This paper is based on a field study involving participant observations. The relationships among the three specific tools, line balancing, standardized work and standardized layout that are used in a kaizen event of a printing factory, are examined. Findings - Application of a mix of lean tools resulted in significant productivity improvements of 10-30 percent in the assembly area of the printing company. Based on the outcomes of the lean tools that are applied in various work areas, the best combinations of lean tools are identified and several key considerations are discussed. Practical implications - This paper shows that a combined set of lean tools such as line balancing, standardized work and standardized layout can be applied to improve productivity in the printing operations, which is identifiable with a mix of processes that are both labor intensive and equipment flexible. Originality/value - The paper fills the literature gap on the use of specific lean tools: line balancing, standardized work and standardized layout in the printing industry. The findings from this research can be applied to other assembly systems that are similar to the printing industry.

Suggested Citation

  • Chi On Chan & Huay Ling Tay, 2018. "Combining lean tools application in kaizen: a field study on the printing industry," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(1), pages 45-65, January.
    • Handle: RePEc:eme:ijppmp:ijppm-09-2016-0197
    DOI: 10.1108/IJPPM-09-2016-0197
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    Citations

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    Cited by:

    1. Fabiane Letícia Lizarelli & Jiju Antony & José Carlos Toledo, 2020. "Statistical thinking and its impact on operational performance in manufacturing companies: an empirical study," Annals of Operations Research, Springer, vol. 295(2), pages 923-950, December.
    2. José Carlos Sá & Manuel Reis & José Dinis-Carvalho & Francisco J. G. Silva & Gilberto Santos & Luis P. Ferreira & Vanda Lima, 2022. "The Development of an Excellence Model Integrating the Shingo Model and Sustainability," Sustainability, MDPI, vol. 14(15), pages 1-28, August.
    3. Diana Filipe & Carina Pimentel, 2023. "Production and Internal Logistics Flow Improvements through the Application of Total Flow Management," Logistics, MDPI, vol. 7(2), pages 1-22, June.

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