Qiu-Rui He
ABSTRACT
In the past decade, there has been increasing interest in green supplier selection. Although existing studies have provided valuable evaluation criteria to select supplier, however, suppliers’ willingness and intention to collaborate with carbon emission management still lack to be considered. The aim of this paper is to develop a family of evaluation criteria for green supplier selection that consider the various variables used in the existing literature to discuss suppliers’ willingness to cooperate in carbon emission management. The systematic literature integration method will be used to search and integrate the factors affecting the willingness of suppliers to participate in carbon emission management in the existing literature to establish a set of indicators. Screen the indicator set through expert interviews to select indicators and obtain a new evaluation system. However, these analysis results and discussion will become our future research direction.
- Seyed Hamid Hashemi, Amir Karimi, and Madjid Tavana. 2015. An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. Int. J. Prod. Econ. 159, 178-191. https://doi.org/10.1016/j.ijpe.2014.09.027Google Scholar
Cross Ref
- Chia-Wei Hsu, Tsai-Chi Kuo, Sheng-Hung Chen, and Allen H. Hu. 2013. Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. J. Clean Prod. 56, 164-172. https://doi.org/10.1016/j.jclepro.2011.09.012Google ScholarCross Ref
- Kannan Govindan, Ali Diabat, and K. Madan Shankar. 2015. Analyzing the drivers of green manufacturing with fuzzy approach. J. Clean Prod. 96, 182-193. https://doi.org/10.1016/j.jclepro.2014.02.054Google ScholarCross Ref
- Sunil Luthra, Anil Kumar, Edmundas Kazimieras Zavadskas, Sachin Kumar Mangla and Jose Arturo Garza-Reyes. 2020. Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy. Int. J. Prod. Res. 58, 5, 1505-1521. https://doi.org/10.1080/00207543.2019.1660828Google ScholarCross Ref
- James J.H. Liou, Yen-Ching Chuang, Edmundas Kazimieras Zavadskas, and Gwo-Hshiung Tzeng. 2019. Data-driven hybrid multiple attribute decision-making model for green supplier evaluation and performance improvement. J. Clean Prod. 241, 118321. https://doi.org/10.1016/j.jclepro.2019.118321Google ScholarCross Ref
- Babak Daneshvar Rouyendegh, Abdullah Yildizbasi, and Pelin Ustunyer. 2020. Intuitionistic fuzzy TOPSIS method for green supplier selection problem. Soft Comput. 24, 3, 2215-2228. https://doi.org/10.1007/s00500-019-04054-8Google ScholarDigital Library
- Fatih Ecer. 2020. Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Oper. Res. 1-35. https://doi.org/10.1007/s12351-020-00552-yGoogle Scholar
- Ming-Lang Tseng. 2011. Green supply chain management with linguistic preferences and incomplete information. Appl. Soft. Comput. 11, 8, 4894-4903. https://doi.org/10.1016/j.asoc.2011.06.010Google ScholarDigital Library
- Krishnendu Shaw, Ravi Shankar, Surendra S. Yadav, and Lakshman S. Thakur. 2012. Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Syst. Appl. 39, 9, 8182-8192. https://doi.org/10.1016/j.eswa.2012.01.149Google ScholarDigital Library
- Jing Dai and Jennifer Blackhurst. 2012. A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective. Int. J. Prod. Res. 50, 19, 5474-5490. https://doi.org/10.1080/00207543.2011.639396Google ScholarCross Ref
- Kannan Govindan, Roohollah Khodaverdi, and Ahmad Jafarian. 2013. A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. J. Clean Prod. 47, 345-354. https://doi.org/10.1016/j.jclepro.2012.04.014Google ScholarCross Ref
- Devika Kannan, Ana Beatriz Lopes de Sousa Jabbour and Charbel José Chiappetta Jabbour. 2014. Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. Eur. J. Oper. Res. 233, 2, 432-447. https://doi.org/10.1016/j.ejor.2013.07.023Google ScholarCross Ref
- Behnam Fahimnia, Joseph Sarkis, Farzad Dehghanian, Nahid Banihashemi, and Shams Rahman. 2013. The impact of carbon pricing on a closed-loop supply chain: an Australian case study. J. Clean Prod. 59, 210-225. https://doi.org/10.1016/j.jclepro.2013.06.056Google ScholarCross Ref
- Rui Zhao, Yiyun Liu, Ning Zhang, and Tao Huang. 2017. An optimization model for green supply chain management by using a big data analytic approach. J. Clean Prod. 142, 1085-1097. https://doi.org/10.1016/j.jclepro.2016.03.006Google ScholarCross Ref
- Fang Yu, Yongsheng Yang, and Daofang Chang. 2018. Carbon footprint based green supplier selection under dynamic environment. J. Clean Prod. 170, 880-889. https://doi.org/10.1016/j.jclepro.2017.09.165Google ScholarCross Ref
- Yongbo Li and K. Mathiyazhagan. 2018. Application of DEMATEL approach to identify the influential indicators towards sustainable supply chain adoption in the auto components manufacturing sector. J. Clean Prod. 172, 2931-2941. https://doi.org/10.1016/j.jclepro.2017.11.120Google ScholarCross Ref
- Yuhan Guo, Fangxia Hu, Hamid Allaoui and Youssef Boulaksil. 2019. A distributed approximation approach for solving the sustainable supply chain network design problem. Int. J. Prod. Res. 57, 11, 3695-3718. https://doi.org/10.1080/00207543.2018.1556412Google ScholarCross Ref
- Lu Zhen, Lufei Huang and Wencheng Wang. 2019. Green and sustainable closed-loop supply chain network design under uncertainty. J. Clean Prod. 227, 1195-1209. https://doi.org/10.1016/j.jclepro.2019.04.098Google ScholarCross Ref
- Maliheh Ganji, Hamed Kazemipoor, Seyyed Mohammad Hadji Molana, and Seyed Mojtaba Sajadi. 2020. A green multi-objective integrated scheduling of production and distribution with heterogeneous fleet vehicle routing and time windows. J. Clean Prod. 259, 120824. https://doi.org/10.1016/j.jclepro.2020.120824Google ScholarCross Ref
- V. K. Manupati, Tobias Schoenherr, M. Ramkumar, Stephan M. Wagner, Sai Krishna Pabba and R. Inder Raj Singh. 2020. A blockchain-based approach for a multi-echelon sustainable supply chain. Int. J. Prod. Res. 58, 7, 2222-2241. https://doi.org/10.1080/00207543.2019.1683248Google ScholarCross Ref
- Andrea Genovese, S. C. Lenny Koh, Giuseppe Bruno and Paolo Bruno. 2010. Green supplier selection: A literature review and a critical perspective. In 2010 8th International Conference on Supply Chain Management and Information. IEEE, Hong Kong, China, 1-6.Google Scholar
- Devika Kannan, Kannan Govindan, and Sivakumar Rajendran. 2015. Fuzzy axiomatic design approach based green supplier selection: a case study from Singapore. J. Clean Prod. 96, 194-208. https://doi.org/10.1016/j.jclepro.2013.12.076Google ScholarCross Ref
- Chun-Mei Su, Der-Juinn Horng, Ming-Lang Tseng, Anthony S.F. Chiu, Kuo-Jui Wu, and Hui-Ping Chen. 2016. Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. J. Clean Prod. 134, 469-481. https://doi.org/10.1016/j.jclepro.2015.05.080Google ScholarCross Ref
- James J.H. Liou, Jolanta Tamošaitienė, Edmundas K. Zavadskas and GwoHshiung Tzeng. 2016. New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management. Int. J. Prod. Res. 54, 1, 114-134. https://doi.org/10.1080/00207543.2015.1010747Google ScholarCross Ref
- Saeed Mousakhani, Salman Nazari-Shirkouhi, and Ali Bozorgi-Amiri. 2017. A novel interval type-2 fuzzy evaluation model based group decision analysis for green supplier selection problems: A case study of battery industry. J. Clean Prod. 168, 205-218. https://doi.org/10.1016/j.jclepro.2017.08.154Google ScholarCross Ref
- Hua Shi, Mei-Yun Quan, Hu-Chen Liu, and Chun-Yan Duan. 2018. A novel integrated approach for green supplier selection with interval-valued intuitionistic uncertain linguistic information: A case study in the agri-food industry. Sustainability. 10, 3, 733. https://doi.org/10.3390/su10030733Google Scholar
- Patchara Phochanikorn and Chunqiao Tan. 2019. An integrated multi-criteria decision-making model based on prospect theory for green supplier selection under uncertain environment: A case study of the Thailand palm oil products industry. Sustainability. 11, 7, 1872. https://doi.org/10.3390/su11071872Google Scholar
- Erfan Babaee Tirkolaee, Abbas Mardani, Zahra Dashtian, Mehdi Soltani and GerhardWilhelm Weber. 2020. A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. J. Clean Prod. 250, 119517. https://doi.org/10.1016/j.jclepro.2019.119517Google ScholarCross Ref
- Betty Chang, Chih-Wei Chang, and Chih-Hung Wu. 2011. Fuzzy DEMATEL method for developing supplier selection criteria. Expert Syst. Appl. 38, 1850-1858. https://doi.org/10.1016/j.eswa.2010.07.114Google ScholarDigital Library
- Imre Dobos and Gyöngyi Vörösmarty. 2014. Green supplier selection and evaluation using DEA-type composite indicators. Int. J. Prod. Econ. 157, 273-278. https://doi.org/10.1016/j.ijpe.2014.09.026Google ScholarCross Ref
- Kannan Govindan and R. Sivakumar. 2014. Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches. Ann. Oper. Res. 238, 1-2, 243-276. https://doi.org/10.1007/s10479-015-2004-4Google Scholar
- Kannan Govindan, Hassan Mina, Ali Esmaeili, and Seyed Mohammad Gholami-Zanjani. 2020. An integrated hybrid approach for circular supplier selection and closed loop supply chain network design under uncertainty. J. Clean Prod. 242, 118317. https://doi.org/10.1016/j.jclepro.2019.118317Google ScholarCross Ref
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