Productivity Improvement by Reduction of Cycle Time Through Implementing Clustering: A Case Study

  • Satbir SinghEmail author
  • Sandeep Singhal
Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)


Productivity is the performance paradigm implying the transformation of man power and material sources into essential goods and utilities. Instant study is concerned with a small-scale production unit near Ambala, Haryana, manufacturing quality tractor parts and fulfilling the monthly requirement of big customers such as Swaraj tractors, Standard, Preet, and Sonalika tractors. The primary goal of the implemented research was to examine the determinants required for reduction of cycle time and betterment of productivity at the manufactory level. The recommended clustering for manufacturing the intended components is designed by developing a universal setup to target the non-productive elements, i.e., setting time. Needful was achieved by stimulating the monthly production and dropping the component manufacturing cost by way of reducing its cycle time by employing clustering principle. p-chart for fraction defectives employed as a statistical tool. Experimentation reveals that validating improved processes and tooling, a total productivity improvement of above 10% was observed.


Clustering Cycle time Monthly production-rejection Manufacturing cost Productivity improvement 



The author is grateful to Ambala College of Engineering and Applied Research (ACE) for providing necessary facilities. I would also like to express a broad sense of gratitude to my Supervisor Dr. Sandeep Singhal, Associate Professor, Department of Mechanical Engineering, NIT Kurukshetra for imparting his able guidance without which this work would have been impossible.


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Mechanical Engineering DepartmentNIT KurukshetraKurukshetraIndia

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