The Impact on the Operational Performance of Manufacturing Implementation Strategies

Makhala Mpho Motebele, Charles Mbohwa

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

Abstract

The purpose of this study is to determine the underlying magnitudes of manufacturing practices and to empirically test a structure pinpointing the interactions between manufacturing practices and operational performance, namely cost, quality, speed, and flexibility. Statistics for this paper was composed from a sample of a steel manufacturing company in South Africa. The research framework was tested using structural equation modeling approach. Based on probing factor analysis, manufacturing practices were gathered into two factors: manufacturing strategy implementation and operational performance. The results indicate that two practices have direct positive and statistically significant impact on operational performance. Likewise, this study tried to scrutinize the best apt model between manufacturing practices and operational performance.

Original languageEnglish
Title of host publication6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016
PublisherIEOM Society
Pages611
Number of pages1
ISBN (Print)9780985549749
Publication statusPublished - 2016
Event6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016 - Kuala Lumpur, Malaysia
Duration: 8 Mar 201610 Mar 2016

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
Volume8-10 March 2016
ISSN (Electronic)2169-8767

Conference

Conference6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016
Country/TerritoryMalaysia
CityKuala Lumpur
Period8/03/1610/03/16

Keywords

  • Manufacturing practices
  • Manufacturing strategies
  • Operational Performance
  • TQM

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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