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Improving Productivity in an Electronic Industry using Industrial Engineering Tools and Techniques

Adesh Jagdale

Abstract


Improving Productivity is a very important factor for a firm to survive and to achieve productivity in the work carried out in an electronic parts manufacturing industry [3]. During the manufacturing in the production department, there are some activities which consume more time, more effort and idle time during manufacturing which decreasing the productivity and worker undergoes unwanted fatigue, which results in lack of productivity. In industry, the industrial engineer worked on the improvement in productivity in different processes by using these engineering tools and techniques. Techniques are Just-in-time, 5S, Kaizen, Poka-Yoke, SMED, Total Productive Maintenance, Benchmarking, Total Quality Management, QC tools, and Six Sigma. The origin of the technique influences the focus of the technique on how improvement should be approached and carried out. For example, Lean Manufacturing is predominately a manufacturing and industrial engineering that focuses on the proper utilization of available resources. We used the stopwatch, camera, etc. for time study to reduce the idle time during manufacturing of parts in the industry. The motive of this paper is to study the implementation of industrial engineering tools in the electronics industry. This study deals with the exiting process flow with standard operation and procedures. Time study and Method study techniques provide the unique platform to eliminate the time loss in the unwanted motion of workers, tools, equipment, etc. which results in idling of machine time. There were suggestions proposed in terms of 5S and ECRS (Eliminate, Combine, Reduce, Simplify) that deals with the sorting of activities and tools, thereby resulting in improved productivity of the industry.


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References


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Shashikant Shinde, Satyasheel Jahagirdar, Shriram Sane, Varsha Karandikar (2014), Set-up time Reduction of a Manufacturing Line using SMED Technique, International Journal of Advance Industrial Engineering ISSN 2320 –5539, Vol 2, No. 2.

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