The factor analysis of obstacles in energy consumption reduction using reverse logistics of Tier 1 auto-parts industry in Thailand

Authors

  • Anuwat Charoensuk Rattanakosin College for Sustainable Energy and Environment, Rajamangala University of Technology Rattanakosin
  • Amnuay Boonratmaitree Rattanakosin College for Sustainable Energy and Environment, Rajamangala University of Technology Rattanakosin
  • Wipawadee Wongsuwan Rattanakosin College for Sustainable Energy and Environment, Rajamangala University of Technology Rattanakosin

Keywords:

Reverse logistics, Tier 1, auto-part industry, energy consumption, factor analysis, Thailand

Abstract

The purpose of this study was to analyze the factors that became obstacles in using reverse logistics to reduce energy consumption of Tier 1 auto-parts industry in Thailand. Purposive random sampling was used to select the 335 samples from workers of Tier 1 auto-parts industry. The research instrument was a 5-point rating scale questionnaire. The data were analyzed by a statistical analysis software program for percentage, mean, standard deviation, and factor analysis. The results showed that the most important obstacle was the relationship between workers and their organization, the second was the organization structure, and the third was the organization’s atmosphere. From factor analysis, it was found that there were seven factors or obstacles that obstructed the use of reverse logistics to reduce energy reduction of Tier 1 auto-parts industry in Thailand. Those obstacles included; 1) organizational climate and relationship in organizations; 2) organizational structure and management; 3) workers’ efficiency; 4) organizational culture; 5) workers’ devotion; 6) technology and data communication for operation; and 7) employee attachment.

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Published

2016-01-16

How to Cite

Charoensuk, A., Boonratmaitree, A., & Wongsuwan, W. (2016). The factor analysis of obstacles in energy consumption reduction using reverse logistics of Tier 1 auto-parts industry in Thailand. Journal of Renewable Energy and Smart Grid Technology, 11(2), 1–16. Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/74864