Modeling carbon footprints across the supply chain

Sundarakani, Balan; Souza, Robert de; Goh, Mark; Wagner, Stephan M.; Manikandan, Sushmera

doi:10.1016/j.ijpe.2010.01.018

Cited by 430 publications

(204 citation statements)

References 32 publications

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“…Dwyer et al (2009) emphasized 'carbon management' where suppliers engage to announce greenhouse gas emissions and set up reduction objects to manage their carbon emissions. 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.…”

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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Section: Carbon Managementmentioning

confidence: 99%

A review on green supply chain aspects and practices

Islam

Karia

Fauzi

et al. 2017

Management &Amp; Marketing

View full text Add to dashboard Cite

“…Firstly, Sundarakani et al (2010) reported that a visibility is a key requirement when modelling carbon emissions across supply chains. By defining the MRIO structure in the hybridised framework (specifically, as a two-region model between the 35 UK and ROW) ensures that carbon emissions (both direct and indirect) along the entire UK-ROW supply chain become Initial visible and are captured in the analysis.…”

Section: Supply Chain Carbon Accounting Calculations Frameworkmentioning

confidence: 99%

“…Furthermore, there is growing evidence that in the steel sector, technical limits and costeffective environmentally efficient measures have been reached, leaving little room for further environmental improvement (Cullen and Allwood 2010). As such, decarbonising efforts (Sundarakani et al 2010;Sarkis, Zhu, and Lai 2011) at the SC level become a critical issue. This is the primary interest of the case company in utilising the proposed deci-30 sion support framework for assessing its SC and the potential of mitigation interventions.…”

Section: 6mentioning

confidence: 99%

An application of hybrid life cycle assessment as a decision support framework for green supply chains

Lake

Acquaye

Genovese

et al. 2014

International Journal of Production Research

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“…Efficient energy use not only reduces energy consumption, but also directly and indirectly controls greenhouse gas (GHG) emissions [25,26]. For less energy intensive sectors energy efficiency strategies is needed due to the wider range in energy uses within these sectors.…”

Section: Literature Reviewmentioning

confidence: 99%

An explorative study to enable environmentally conscious manufacturing for an industrial gearbox manufacturing organization

2014

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-In recent years, environmentally conscious manufacturing (ECM) has become an important aspect and proactive approach for majority of the manufacturing organizations in India. The reason is that ECM not only helps to produce environment friendly, but also helps to make money by reducing cost or achieving competitive advantage. Industrial gearbox manufacturing organizations have significant environmental impacts as industrial gearbox manufacturing involves several steps which use valuable resources and pollute the environment. Hence, this paper presents an explorative environmental study of an Indian industrial gearbox manufacturing organization. The objective of the current paper is (i) to identify the environmental problems and environmentally conscious manufacturing indicators (ECMI), (ii) to find out the root causes of these problems and (iii) to solve the root causes based on the available stateof-the-art literature. This research work not only reviews the efficient environment friendly manufacturing techniques, but also helps the organization to become eco-efficient by producing environment friendly while making money. First ECMIs selected from literature review, are validated through process mapping. Then these indicators are prioritized using analytic hierarchy process (AHP) to find out the critical environmentally conscious manufacturing indicators (CECMI). The sources of CECMIs are identified using either data envelopment analysis (DEA) or direct observation of the available database. Finally, some possible solutions are also addressed in this paper.

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Modeling carbon footprints across the supply chain

Cited by 430 publications

References 32 publications

A review on green supply chain aspects and practices

A review on green supply chain aspects and practices

An application of hybrid life cycle assessment as a decision support framework for green supply chains

An explorative study to enable environmentally conscious manufacturing for an industrial gearbox manufacturing organization

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