A review of modeling approaches for sustainable supply chain management

By Stefan Seuring. Decision Support Systems, 2013

1,004 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Marketing, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/9fdd046ccee54a8146751337dc92b91d0752ef0b

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Citations in the corpus

A Framework of Sustainable Service Supply Chain Management: A Literature Review and Research Agenda (2017, methodology): “There have been many methods in the view of environmental and economic sustainable supply chain management to decide the sustainable development of supply chains, such as operational Sustainability 2017, 9, 421 8 of 25 research models, the Life Cycle Assessment, Inference Graph, Analytic Hierarchy P”
Blockchain technology and its relationships to sustainable supply chain management (2018, background): “However, social performance is difficult to measure and maintain (Seuring 2013), even after blockchain implementation.”
Social Sustainable Supply Chain Management in the Textile and Apparel Industry—A Literature Review (2017, background): “So far, research already clearly distinguished SSCM from conventional supply chain management (SCM) [16].”
Decision theory in sustainable supply chain management: a literature review (2014, background): “While various papers focus on modelling SSCM criteria using operational research (OR) decision analysis (Bloemhof-Ruwaard et al., 1995; Seuring, 2013), these represent one particular branch of the wider subject of DT.”
Big data analytics in supply chain management: A state-of-the-art literature review (2017, methodology): “This approach has been adopted by a number of highly cited review papers in SCM literature, such as Seuring and Muller (2008), Seuring (2013), and Govindan et al. (2015).”
Towards supply chain sustainability: economic, environmental and social design and planning (2015, background): “Some literature exists where authors apply LCA methodologies to supply chain design (Seuring, 2013).”
Quantitative models for sustainable supply chain management: Developments and directions (2014, methodology): “…hence reliable material collection is achieved by focusing both on papers that were assessed by three recent reviews on SSCM (Hassini et al., 2012; Seuring, 2012; Tang & Zhou, 2012) and on papers that are obtained by a keyword-based search in specific journals which were identified as most…”
Revealing interfaces of supply chain resilience and sustainability: a simulation study (2018, background): “For example, Seuring (2013) and Ahi and Searcy (2015) identify that sustainable supply chains aim at reduction of stock points and safety inventory in the supply chain and single sourcing practices with sustainable suppliers.”
Indicators in Social Life Cycle Assessment: A Review of Frameworks, Theories, and Empirical Experience (2017, background): “…provide only partial insights on social indicators, as they deal with more overarching concerns such as modeling approaches for sustainable supply-chain management (e.g., Brandenburg et al. 2014; Seuring 2013) or isolated matters (Pizzirani et al. 2014) and industries (Macombe et al. 2013).”
A TAXONOMY OF GREEN INNOVATORS:EMPIRICAL EVIDENCE FROM SOUTH KOREA (2017, background): “…theory (e.g. Chen, 2008), stakeholder theory (e.g. Banerjee et al., 2003; Tang and Tang, 2012), green (or sustainable) value-chain management (see e.g. Seuring, 2013; Seuring and Müller, 2008), and the more general business and management literature (for a recent survey see Bossle et al., 2016).”