Lead Time Reduction in Pipe Manufacturing: An Application of Value Stream Maps and 5S

Year : 2023 | Volume : 10 | Special Issue : 03 | Page : 23-31
By

    Shashank Srivastava

  1. Deepak Sharma

  1. Assistant Professor, Department of Mechanical Engineering, GLA University, Uttar Pradesh, India

Abstract

The pipe manufacturing industry has a considerable effect on the economic growth of a country. In this competitive scenario, manufacturing industries receive immense pressure for providing high-quality products at affordable cost, and on-time delivery. This paper aims to reduce lead times in a small-scale pipe industry plant by the application of the Value Stream Mapping (VSM) technique. The products of the plant are Resin Polyvinyl Chloride (RPVC) pipes, RPVC suction pipes, high-density polyethylene (HDPE) pipes, and molding pipes. During the peak time, the demand for the pipes increases tremendously leading to an increase in the workload of the plant, and the lead time. Thus, the study is done to analyze the obtained observed, and standard time of various sections of the plant. On the basis of standard time, the value stream maps are drawn and consequently, the lead time of the product is reduced by applying 5S techniques. The future state map is then created to show how the process can be used with minimal waste. It will work as a road map for the decision maker to improve their processes.

Keywords: Pipe manufacturing, value stream maps, lead time, RPVC pipe, cycle time

[This article belongs to Special Issue under section in Journal of Polymer and Composites(jopc)]

How to cite this article: Shashank Srivastava, Deepak Sharma Lead Time Reduction in Pipe Manufacturing: An Application of Value Stream Maps and 5S jopc 2023; 10:23-31
How to cite this URL: Shashank Srivastava, Deepak Sharma Lead Time Reduction in Pipe Manufacturing: An Application of Value Stream Maps and 5S jopc 2023 {cited 2023 Feb 23};10:23-31. Available from: https://journals.stmjournals.com/jopc/article=2023/view=98005

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Special Issue Subscription Original Research
Volume 10
Special Issue 03
Received October 3, 2022
Accepted December 1, 2022
Published February 23, 2023