Evaluating sustainable advantages in productivity with a systematic procedure

Tin-Chih Chen*, Yu Cheng Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

All factories strive to enhance productivity. In addition, in some industries, the competition is becoming fierce. To survive, a firm should have sustainable advantages in productivity. To this end, a systematic procedure is presented in this study to evaluate the competitiveness and sustainable advantages of a factory’s productivity. The proposed methodology considers improvements in productivity as learning processes, which can then be used to estimate future productivity. In this study, uncertainty in productivity is modeled with a fuzzy number. After comparing estimated productivity values in some competitive regions, the midterm competitiveness can be evaluated. Sustainable advantages in productivity can be assessed by observing the trends in the midterm competitiveness. A practical example is presented to illustrate the applicability of the proposed methodology.

Original languageEnglish
Pages (from-to)1435-1442
Number of pages8
JournalInternational Journal of Advanced Manufacturing Technology
Volume87
Issue number5-8
DOIs
StatePublished - 1 Nov 2016

Keywords

  • Competitiveness
  • Fuzzy linear regression
  • Learning
  • Productivity
  • Sustainable advantage

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