10.35940/ijmh.I0894.054920
https://zenodo.org/records/5463465
oai:zenodo.org:5463465
Jaydip Katkar
Jaydip Katkar
School of mechanical and civil engineering, MIT Academy of Engineering, Pune, India.
Vishal Wakade
Vishal Wakade
School of mechanical and civil engineering, MIT Academy of Engineering, Pune, India.
Arati Supekar
Arati Supekar
School of mechanical and civil engineering, MIT Academy of Engineering, Pune, India.
Kalyani Sankpal
Kalyani Sankpal
School of mechanical and civil engineering, MIT Academy of Engineering, Pune, India.
Ankita Shimpi
Ankita Shimpi
School of mechanical and civil engineering, MIT Academy of Engineering, Pune, India.
Productivity Improvement by using Time Study Analysis and Modern Trends in Manufacturing Industry
Zenodo
2020
productivity, fixture, Time study, work study
Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
Publisher
2020-05-30
eng
2394-0913
Creative Commons Attribution 4.0 International
The productivity of any organization can be increased by optimizing the work process. Low productivity of workers is one of the reason behind the delay in delivery in manufacturing sector we know that in manufacturing sector labor is prominent thing. Improving the productivity means to make the best possible use of available resources and achieve maximum output. This paper focuses on the productivity of machine as well as labor by using fixtures, updated systematic layout and use of material handling equipment. This paper also covers the, what is productivity, which factors are affecting on productivity and efficiency. Maximum efficiency or productivity is trademark of any successful organization The objective of this paper is to identify the problem in medium scale industry due to time and effort required for any operations is high To tackle and understand a detailed analysis regarding processes using time study and work study. Due to implementation of all the measures the productivity of an organization is increases resulting in reduced effort and time required for operation and all operations done optimally.