PDF

QUALITY IMPROVEMENT USING STATISTICAL PROCESS CONTROL TOOLS IN GLASS BOTTLES MANUFACTURING COMPANY

Yonatan Mengesha, Ajit Pal Singh

2013enqualitystatistical process controlglass bottlesPareto chartbrainstormingmanufacturing

Abstract

Language:

In order to survive in a competitive market, improving quality and productivity of product or process is a must for any company. This study is about to apply the statistical process control (SPC) tools in the production processing line and on final product in order to reduce defects by identifying where the highest waste is occur at and to give suggestion for improvement. The approach used in this study is direct observation, thorough examination of production process lines, brain storming session, fishbone diagram, and information has been collected from potential customers and company’s workers through interview and questionnaire, Pareto chart/analysis and control chart (p-chart) was constructed. It has been found that the company has many problems; specifically there is high rejection or waste in the production processing line. The highest waste occurs in melting process line which causes loss due to trickle and in the forming process line which causes loss due to defective product rejection. The vital few problems were identified, it was found that the blisters, double seam, stone, pressure failure and overweight are the vital few problems. The principal aim of the study is to create awareness to quality team how to use SPC tools in the problem analysis, especially to train quality team on how to held an effective brainstorming session, and exploit these data in cause-and-effect diagram construction, Pareto analysis and control chart construction. The major causes of nonconformities and root causes of the quality problems were specified, and possible remedies were proposed. Although the company has many constraints to implement all suggestion for improvement within short period of time, the company recognized that the suggestion will provide significant productivity improvement in the long run.

Download

Cite This Work

@article{e6798a0a-c2a3-4786-a037-e75c1664e29a,
  title={QUALITY IMPROVEMENT USING STATISTICAL PROCESS CONTROL TOOLS IN GLASS BOTTLES MANUFACTURING COMPANY},
  author={Yonatan Mengesha and Ajit Pal Singh},
  year={2013},
  language={en}
}
TY  - JOUR
TI  - QUALITY IMPROVEMENT USING STATISTICAL PROCESS CONTROL TOOLS IN GLASS BOTTLES MANUFACTURING COMPANY
AU  - Yonatan Mengesha
AU  - Ajit Pal Singh
PY  - 2013
LA  - en
ER  -

Similar Items

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

THE FUTURE OF ELECTRONIC WASTE RECYCLING IN THE UNITED STATES: Obstacles and Domestic Solutions

Jennifer Namias, Dr. Nickolas J. Themelis

This study explores the future of electronic waste recycling in the United States, addressing the challenges and proposing domestic solutions. The rap

2013enPDF

Extractive Metallurgy 1

Alain Vignes

This book provides a comprehensive overview of the fundamental principles of extractive metallurgy, with a specific focus on basic thermodynamics and

2011enPDF

Extractive Metallurgy 2

Alain Vignes

Extractive metallurgy is a critical field that encompasses the processes involved in the extraction of valuable metals from their ores. This work serv

2011enPDF

...

Arthur C. Reardon

This publication, edited by Arthur C. Reardon and published by ASM International®, serves as a comprehensive guide in the field of materials science.

2011enPDF

Plant auditing: a powerful tool for improving metallurgical plant performance

Deepak Malhotra

This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id

2015enPDF