Improving Performance Through Benchmarking: A Study on the Continuous Improvement Process

R. M. Malapa, N. Sukdeo, S. C. Mukwakungu, C. Mbohwa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study aims to explore the impact of benchmarking for continuous improvement on product quality. The study adopts a qualitative method approach and finds that benchmarking is an essential tool for improving an organization's processes and achieving its goals. Benchmarking helps organizations position themselves in the marketplace and strategically improve poor performance. However, due to the non-representative sample used in the study, the downstream conclusions may be affected, and the analysis results may be unreliable. The study recommends the implementation of benchmarking as a solution for improving poor performance and product quality, specifically for ABX Company and other similar organizations. Additionally, the study investigates the effectiveness of implementing quality management system tools, which can significantly improve product quality to meet customer specifications in manufacturing organizations.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1697-1701
Number of pages5
ISBN (Electronic)9798350323153
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore
Duration: 18 Dec 202321 Dec 2023

Publication series

Name2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023

Conference

Conference2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Country/TerritorySingapore
CitySingapore
Period18/12/2321/12/23

Keywords

  • Benchmarking
  • Continuous Improvement
  • Total Quality Management

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Statistics, Probability and Uncertainty
  • Industrial and Manufacturing Engineering
  • Modeling and Simulation
  • Strategy and Management

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