A review of green supply chain management: From bibliometric analysis to a conceptual framework and future research directions

Maditati, Dhanavanth Reddy; Munim, Ziaul Haque; Schramm, Hans‐Joachim; Kummer, Sebastian

doi:10.1016/j.resconrec.2018.08.004

Cited by 230 publications

(203 citation statements)

References 77 publications

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“…In the past, many studies about the CLSCN design problem considering sustainability have taken economic or carbon emission as the objective, but few have considered quantifying social factors in their research [41][42][43][44][45][46][47][48][49][50][51][52]73]. Compared with these research studies, our study considers all three dimensions of sustainability, which can provide better theoretical support for supply chains to realize sustainability.…”

Section: Discussionmentioning

confidence: 99%

“…They utilized LCA software to investigate the environmental effects of the network. Maditati et al [45] presented a structured review of GSCM literature and conducted the bibliographic analysis tools and techniques to identify the key journals, influential institutions, and impactful and trending articles; the analysis reveals six underlying research streams related to GSCM. Rohmer et al [46] addressed the global food system sustainability problem with the objectives of supply chain cost and environmental impact minimization to maintain adequate dietary intake.…”

Section: Scnd Problem Considering Sustainabilitymentioning

confidence: 99%

“…First, we analyze the changes in the values of the Pareto solutions of different levels of conservatism degree. Assume the positive constant perturbations parameterd m is 45,35,40,30,30,40,30,20,35, and 40, respectively;θ is 0.10. As Γ 1 m , Ψ 1 m and Ψ 2 l ∈ [0, 1], Γ 2 l ∈ [0, 5], we consider these parameters, taking 0%, 25%, 50%, 75%, and 100% of its maximum value, respectively, and dividing them into two groups (i.e., Γ 1 m and Γ 2 l , Ψ 1 m , and Ψ 2 l ) to study the behavior of the Pareto optimal solution.…”

Section: Effect Of Parameters' Uncertaintymentioning

confidence: 99%

“…On the other hand, to show the trend of changes in the Pareto optimal solution values and the probability of constraint violation based on different conservatism degrees, we take the change of remanufacturing rate as an example. When the value of 1 m  and 2 l  is 1, the initial robust equivalence becomes the "interval+polyhedral" equivalence proposed by Bertsimas and Sim [63], assuming ˆm d is 45,35,40,30,30,40,30,20,35, and 40, respectively,  is 0.10, and the value of 2  is 8. The calculation result is depicted in Figure 3.…”

Section: Data Variabilitymentioning

confidence: 99%

See 3 more Smart Citations

A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability

Zhang

Zhao

et al. 2019

Sustainability

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Supply chain network design (SCND) is an important strategic decision determining the structure of each entity in the supply chain, which has an important impact on the long-term development of a company. An efficient and effective supply chain network is of vital importance for improving customer satisfaction, optimizing the allocation of resources, and increasing profitability. The environmental concerns and social responsibility awareness of the whole society have spurred researchers and managers to design sustainable supply chains (SSCs) integrating the economic, environmental, and social factors. In addition, the innate uncertainty of the SCND problem requires an integrated method to cope. In this regard, this study develops a multi-echelon multi-objective robust fuzzy closed-loop supply chain network (CLSCN) design model under uncertainty including all three dimensions of sustainability. This model considers the total cost minimization, carbon caps, and social impact maximization concurrently to realize supply chain sustainability, and is able to make a balance between the conflicting multiple objectives. Meanwhile, the uncertainty of the parameters is divided into two categories and addressed with two approaches: the first category is missed working days related to social impact, which is solved by the fuzzy membership theory; the second category is the demand and remanufacturing rate, which is settled by a robust optimization method. To validate the ability and applicability of the model and solution approach, a numerical example is conducted and solved using ILOG CPLEX. The result shows that the supply chain network structure and the value of the optimization objectives will change when considering sustainability and different degrees of uncertainty. This will enable supply chain managers to reduce the environmental impact and enhance the social benefits of their supply chain activities, and design a more stable supply chain to better cope with the influence of uncertainty.

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Section: Discussionmentioning

confidence: 99%

Section: Scnd Problem Considering Sustainabilitymentioning

confidence: 99%

Section: Effect Of Parameters' Uncertaintymentioning

confidence: 99%

Section: Data Variabilitymentioning

confidence: 99%

See 2 more Smart Citations

A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability

Zhang

Zhao

et al. 2019

Sustainability

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“…In the context of GSCM conceptual framework, many kinds of literature discussed the driving factor of GSCM practices in term of green procurement (Appolloni et al, 2014), green manufacturing (Chuang & Yang, 2014;Ghazilla et al, 2015), green distribution (Strömberg et al, 2015), and reverse logistics (Akdoğan & Coşkun, A Literature Review on Green Supply Chain Management Adoption Drivers 2012). A comprehensive review was presently done by Munim et al (2018), which used a bibliometrics approach to review the GSCM literature. Their study used bibliometric analysis that focuses on the most-cited and impact of the citation.…”

Section: Introductionmentioning

confidence: 99%

A Literature Review on Green Supply Chain Management Adoption Drivers

Masudin

2019

JITI

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This article provides a systematic literature review of the driving factors influencing the application of green supply chain management (GSCM). The GSCM adoption issues have been widely given attention by researchers and practitioners since the adoption of GSCM would impact significantly on an organization's environmental, social, and financial performance. Most GSCM adoption has been discussed in the perspective of logistics management activities such as procurement, manufacturing, transportation, and reverse logistics. Nowadays, the discussion of GSCM adoption in terms of the driving factors affecting a successful GSCM application has led to complexity. In this article, a further review and discussion are conducted in terms of the driving factors dealing with GSCM adoption, including three major points, such as the driving forces of green procurement, green manufacturing, and green distribution and reverse logistics adoption. The driving factors are reviewed to highlight the recent factors affecting GSCM adoption. In this article, 94 papers from the past study are presented, associating each point of the discussion.

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Circular economy in agro food supply chain: Bibliometric and network analysis

Banerjee,

Singh,

Kunja

2024

Bus Strat Dev

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Recently, there has been growing interest among scholars and industry professionals in understanding how agro‐food supply chains can shift from a linear to a circular model. This involves managing waste, recovering resources, and adopting sustainable practices. However, knowledge on circular economies in agro‐food supply chains is scattered, with limited comprehensive studies available. To address this gap, our study conducts a bibliometric and network analysis of 364 documents from the Scopus database. We identify influential authors, contributing countries and journals, and most cited documents. Additionally, we use network analysis to visualize connections between authors and keywords, providing insights into emerging trends and critical research areas. We also uncover important keywords and themes, laying a foundation for future research directions. Overall, our study offers a comprehensive overview, serving as a basis for further exploration in this field.

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A review of green supply chain management: From bibliometric analysis to a conceptual framework and future research directions

Cited by 230 publications

References 77 publications

A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability

A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability

A Literature Review on Green Supply Chain Management Adoption Drivers

Circular economy in agro food supply chain: Bibliometric and network analysis

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