ChihTe Yang

Prof. Dr. ChihTe Yang

Department of Business Administration, Tamkang University, New Taipei City 25137, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2006 in International Journal of Production Economics
Verified
Journal Article
Closed access
Kun-Shan WuKun-Shan Wu
Kun-Shan Wu
LOLiang-Yuh Ouyang
Liang-Yuh Ouyang
ChihTe YangChihTe Yang
ChihTe Yang

1 December 2006 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
LOLiang-Yuh Ouyang
Liang-Yuh Ouyang
Kun-Shan WuKun-Shan Wu
Kun-Shan Wu
ChihTe YangChihTe Yang
ChihTe Yang


1 April 2009 in European Journal of Operational Research
Verified
Journal Article
Closed access
LOLiang-Yuh Ouyang
Liang-Yuh Ouyang
JTJinn-Tsair Teng
Jinn-Tsair Teng
SGSuresh Kumar Goyal
Suresh Kumar Goyal
ChihTe YangChihTe Yang
ChihTe Yang

14 September 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
YSYu-Jan Shen
Yu-Jan Shen
KSKuan-Fu Shen
Kuan-Fu Shen
ChihTe YangChihTe Yang
ChihTe Yang
The increase in carbon emissions is considered one of the major causes of global warming and climate change. To reduce the potential environmental and economic threat from such greenhouse gas emissions, governments must formulate policies related to carbon emissions. Most economists favor the carbon tax as an approach to reduce greenhouse gas emissions. This market-based approach is expected to inevitably affect enterprises’ operating activities such as production, inventory, and equipment investment. Therefore, in this study, we investigate a production inventory model for deteriorating items under a carbon tax policy and collaborative preservation technology investment from the perspective of supply chain integration. Our main purpose is to determine the optimal production, delivery, ordering, and investment policies for the buyer and vendor that maximize the joint total profit per unit time in consideration of the carbon tax policy. We present several numerical examples to demonstrate the solution procedures, and we conduct sensitivity analyses of the optimal solutions with respect to major parameters for identifying several managerial implications that provide a useful decision tool for the relevant managers. We hope that the study results assist government organizations in selecting a more appropriate carbon emissions policy for the carbon reduction trend.

1 November 2013 in Applied Mathematics and Computation
Verified
Journal Article
Closed access
LOLiang-Yuh Ouyang
Liang-Yuh Ouyang
ChihTe YangChihTe Yang
ChihTe Yang
YCYa-Lan Chan
Ya-Lan Chan
LCLeopoldo Eduardo Cárdenas-Barrón
Leopoldo Eduardo Cárdenas-Barrón