Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management

Hsu, Chia‐Wei; Kuo, Tsai‐Chi; Chen, Sheng‐Hung; Hu, Allen H.

doi:10.1016/j.jclepro.2011.09.012

Cited by 517 publications

(259 citation statements)

References 48 publications

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“…With increasing environmental and climate change worries in the green supply chain, 80% of carbon emissions were found to be produced through the supply chains (Hsu et al, 2013). Hence, carbon issues were quickly being recognized as an important element in GSCM; thus, many companies aimed to build a competency framework for carbon management (Lee, 2011).…”

Section: Carbon Managementmentioning

confidence: 99%

“…To help with this, Sundarakani et al (2010) forwarded a model for carbon emission computation and control across companies' supply chain to reduce the carbon footprint. In relation to that, Hsu et al (2013) have summarized the main criteria for green supplier selection to facilitate carbon management program. Supplier environmental collaboration Vachon and Klassen (2006) identified that in effort to reduce environmental impact and seek for environmental solutions, organizations develop cooperative activities to handle environmental activities within the supply chain.…”

Section: Carbon Managementmentioning

confidence: 99%

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A review on green supply chain aspects and practices

Islam

Karia

Fauzi

et al. 2017

Management &Amp; Marketing

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Section: Carbon Managementmentioning

confidence: 99%

Section: Carbon Managementmentioning

confidence: 99%

A review on green supply chain aspects and practices

Islam

Karia

Fauzi

et al. 2017

Management &Amp; Marketing

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“…The DEMATEL method has been applied in transport to evaluate criteria for maritime transport [10]; for vehicle fleet maintenance management [11]; for tourism marketing [12]; in supply chain management [13]. The DEMATEL approach has been applied in [14], where thirteen criteria are defined in order to study the influential criteria of carbon management in green supply chain. This paper aims to propose an approach for examining the criteria for intermodal transportation, their impact and relationship by taking into account the transportation process.…”

Section: Introductionmentioning

confidence: 99%

Study of criteria for evaluation of transportation with intermodal transport

Stoilova¹,

Kunchev²

2017

Engineering for Rural Development

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Abstract. The present study defines criteria for evaluation of intermodal passenger and freight transportationintegrated railway and road transport (motorail trains and Ro-La trains). This type of transportation improves the efficiency of distribution in the supply chain. Two variants of criteria are studied in the paper -main and extended. The main criteria are divided into four groups: environmental, economic, technological and social. Eleven factors have been examined in the extended criteria: environmental, operating costs, transportation fares, infrastructure charges, duration of transportation, transportation from door to door, duration of transshipment operations, comfort, safety, reliability and stability. The method of multi-criteria analysis Decision Making Trial and the Evaluation Laboratory (DEMATEL) method have been applied to analyze the importance and the relations among the criteria. The summarized results of both variants are similar. They show that the economic criteria have the greatest impact. Operating costs are the key factor among the extended variant of criteria. Other criteria of great importance are also duration of transportation and transport from door to door. The defined criteria can be applied for the evaluation, comparison and selection the transportation with different modes of transport.

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“…Thus, it indicates that the suppliers play critical roles in firm's success. Therefore, firms should embrace a supplier evaluation and selection model in determining an appropriate long-term partnership (Hsu et al 2013).…”

Section: Introductionmentioning

confidence: 99%

“…It is crucial to link carbon management in GSCM with supplier selection practice as soon as possible. However, the literature that addressed carbon management in supplier selection of GSCM is rare (Hsu et al 2013;Shaw et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers

Kuo

Hsu

Chen³

2015

Int. J. Environ. Sci. Technol.

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Previous studies have proven that enterprises addressing green supply chain management problem may produce an apparent improvement to their stockholder interests. According to the report of Kearney (Carbon Disclosure Project: supply chain report 2010. CDP, London, 2010), more than 80 % of the carbon emissions are generated from the suppliers' activities in a company's performance. Many members of the project claimed that they will reassess their suppliers as soon as possible. Therefore, to combine the carbon management issue and supplier evaluating problem turns to be a very crucial work. Therefore, this study intends to develop a framework of the supplier evaluating process for carbon management by integrating fuzzy ANP and fuzzy TOPSIS approaches. Thirteen criteria of carbon management under four dimensions were identified by literature review and modified according to the opinion of seven experts in the environmental department. The model result in a case company shows that three of the most important criteria are ''carbon governance,'' ''carbon policy'' and ''carbon reduction targets.'' The proposed hybrid methodology has great ability to explain the vagueness of decision maker's expression and better discrimination power to evaluate suppliers in carbon management.

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Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management

Cited by 517 publications

References 48 publications

A review on green supply chain aspects and practices

A review on green supply chain aspects and practices

Study of criteria for evaluation of transportation with intermodal transport

Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers

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