PROCESS CYCLE TIME REDUCTION IN A SMALL-SCALE INDUSTRY – REVERSE ENGINEERING

Authors

  • Ravi Parihar Assistant Prof , Mechanical Engg. Deptt., VIET, Jodhpur (Rajasthan, India)
  • Rahul Vyas Assistant Prof , Mechanical Engg. Deptt., VIET, Jodhpur (Rajasthan, India)
  • Shailendra Bohra Assistant Prof , Mechanical Engg. Deptt., VIET, Jodhpur (Rajasthan, India)
  • Lalit Jyani Assistant Prof, Mechanical Engg. Deptt., VIET, Jodhpur (Rajasthan, India)
  • Manish Bora Assistant Prof , Mechanical Engg. Deptt., VIET, Jodhpur (Rajasthan, India)

Keywords:

Quantitative and Qualitative Techniques, Reverse Engineering, Process Cycle Time, Small-Scale Industry, Observation Methods, Observed Data

Abstract

Quantitative and qualitative techniques [1] provide a trade-off between breadth and depth and between
generalizability and targeting to specific (sometimes very limited) populations. However, beyond the debate over the relative
virtues of these approaches and discuss some of the advantages and disadvantages of different types of instruments, the
qualitative data collection is the most suitable approach. Observation, particularly participant observation, has been used in
a variety of disciplines as a tool for collecting data about people, processes, and cultures in qualitative research. In view of
for our research, reverse engineering approach [2], [3] and its practicability of minimizing process cycle time [4], [5] in the
existing industries, the benefits of the qualitative approach are more appropriate for collecting the richer information and for
deeper insight into the phenomenon under study.

Published

2018-12-25

How to Cite

Ravi Parihar, Rahul Vyas, Shailendra Bohra, Lalit Jyani, & Manish Bora. (2018). PROCESS CYCLE TIME REDUCTION IN A SMALL-SCALE INDUSTRY – REVERSE ENGINEERING. International Journal of Advance Engineering and Research Development (IJAERD), 5(12), 129–135. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/3973