Improvement of Plastic Manufacturing Processes by Six Sigma and DMAIC Methods

Alhatem Satta Seham Ismail, Azizan As'arry, Salit Mohd Sapuan*, Jamal Tarique

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Improvements are required in any industry to maximize productivity by reducing faults in any method and removing overall waste produced within the manufacturing facility. This study examines the problems faced by some leading companies in the plastic manufacturing industry, such as Motorola, General Electric, and Zamil Plastic and how to solve them. In this study, the key difficulty in this plastic manufacturing industry was black dots, which can be seen in injection molding operations. When compared to other faults, the injection molding technique result shows that black dot defects are the main reason for rejects in May, making up almost 41% of all rejects. Because, Defectives Per Million Opportunities (DPMO) of products in Plastic Remote Controls (PRC) result in numerous wastes, statistical quality control (SQC) methods, such as the Pareto chart, cause-effect diagram, and control chart were utilized to examine the data. Also, this study shows that the time necessary for tool changeover was extremely long, resulting in a significant wait for manufacturing because multiple dies and molds were required for production (types of plastic fuel tanks). The novelty of this research is that it clarifies when the company uses six sigma and the DMAIC method to rapidly discover the problem in the products and find a suitable solution to save time, effort, and cost. Run charts and the layout of mold storage are used to solve the problem and ensure that the process is truly improved by reducing the time it takes to change over for tools and dies.

Original languageEnglish
Article number6838
JournalApplied Science and Engineering Progress
Volume16
Issue number3
DOIs
StatePublished - Jul 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 King Mongkut's University of Technology North Bangkok.

Keywords

  • Black dot
  • DMAIC
  • DPMO
  • Six Sigma
  • TQM

ASJC Scopus subject areas

  • General Computer Science
  • General Chemical Engineering
  • General Materials Science
  • General Engineering

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