An optimization model for green supply chain management by using a big data analytic approach

Zhao, Rui; Liu, Yiyun; Zhang, Ning; Huang, Tao

doi:10.1016/j.jclepro.2016.03.006

Cited by 258 publications

(190 citation statements)

References 75 publications

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“…There are also other researches that amplified the collaboration benefits (Zhao et al, 2016;Bosona & Gebresenbet, 2011;Kim et al, 2015;Wang et al, 2016). The collaboration approach is based on a theoretical aspect of improvement of the efficiency of the chain, e. g., partial freight collection, information sharing, etc.…”

Section: Supply Chain Resilience Concept and Capabilitiesmentioning

confidence: 99%

“…However, this research lacked empirical evidence and concrete practices, which would enable big data usage for supply chain. A more recent research by Zhao et al (2016) indicated that there are very few studies regarding the integration of big data science and supply chain management. The IoT and big data concepts cover only part of the industry 4.0 concept.…”

Section: Managing Supply Chain Resilience By Using Industry 40 Conceptmentioning

confidence: 99%

“…One of the most amplified capabilities is collaboration (Zhao, Liu, Zhang & Huang, 2016;Bosona & Gebresenbet, 2011;Kim et al, 2015;Wang, Gunasekaran, Ngai & Papadopoulos, 2016). Collaboration is based on certain computability, commitment, _______________________________________________________________ 2017 / 31 32 and capabilities.…”

Section: Introductionmentioning

confidence: 99%

“…The benefits and approaches to collaboration have been widely researched; however, the main research gap is that the most amplified resilience strategy is based on collaboration, which enables the supply chain members to share information and commitments and gain resilience. However, the strategy is based on unclear commitments and decreases the turnover rate of the working capital, because it recommends gaining flexibility by increasing redundancy (Zhao et al, 2016;Bosona & Gebresenbet, 2011;Kim et al, 2015;Wang et al, 2016). A large number of members in the collaboration process can provide better efficiency levels in terms of costs; however, it limits the ability of the collaboration to cope with disturbances by increasing the complexity and limiting the visibility.…”

Section: Introductionmentioning

confidence: 99%

“…The major impact has been done by the development of industry 4.0 concept to the supply chain. This concept involves Internet of Things (IoT), which is responsible for information gathering, big data analytics (information processing), and autonomous vehicles (information utilization) (Swafford, Ghosh & Murthy, 2008;Chen, Cheng & Huang, 2013;Navickas & Gruzauskas, 2016;Zhao et al, 2016;Klötzer & Pflaum, 2015). Therefore, by identifying the main capabilities, which are responsible for supply chain resilience, and by limiting the trade-offs in the process by using innovative technologies, supply chain resilience can be achieved.…”

Section: Introductionmentioning

confidence: 99%

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Managing Capabilities for Supply Chain Resilience Through it Integration

Gružauskas

Vilkas

2017

Economics and Business

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Abstract. The trend for e-commerce, estimated population size to 11 billion by 2050, and an increase in urbanization level to 70 % is requiring to re-think the current supply chain. These trends changed the distribution process: delivery distances are decreasing, the product variety is increasing, and more products are being sold in smaller quantities. Therefore, the concept of supply chain resilience has gained more recognition in recent years. The scientific literature analysis conducted by the authors indicate several capabilities that influence supply chain resilience. Collaboration, flexibility, redundancy and integration are the most influential capabilities to supply chain resilience. However, the authors identify that the combination of these capabilities to supply chain resilience is under researched. The authors indicate that by combining these capabilities with the upcoming technologies of industry 4.0, supply chain resilience can be achieved. In the future, the authors are planning to conduct further research to identify the influence of these capabilities to supply chain resilience, to quantify supply chain resilience, and to provide further practices of industry 4.0 concept usage for supply chain resilience.

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Section: Supply Chain Resilience Concept and Capabilitiesmentioning

confidence: 99%

Section: Managing Supply Chain Resilience By Using Industry 40 Conceptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Managing Capabilities for Supply Chain Resilience Through it Integration

Gružauskas

Vilkas

2017

Economics and Business

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The Role of Green Collaborative Strategies in Improving Environmental Sustainability in Supply Chains: Insights from a Case Study

et al. 2017

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This article aims to quantify to what extent collaborative strategies are more effective than internal or organization‐level actions to green supply chains. In this regard, the impact of decisions made at different stages of a supply chain in a product's carbon footprint is quantified. Organizational and product carbon footprints are calculated using the Compound Method Based on Financial Accounts (MC3). The results underline that concentrating reduction efforts in some stages of the supply chain is more effective than implementing individual actions by the participants. Collaboration among the participants is needed to decide what practices are implemented, at what stage they are needed and how they are to be implemented. This article adds to the literature on supply chains and sustainability. Previous research suggests that collaborative strategies have great potential for reducing the carbon footprint of products, while indicating the need for empirical research to support this statement. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment

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Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics

et al. 2020

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Supply chains are composed of multiple stakeholders who have complex interrelationships. In addition, the forward and reverse flow of materials, information, human resources, and finance occurs among different stakeholders in closing the loop of supply chains. Reverse logistics (RL) activities are gaining importance in terms of size and quantity due to both economic and environmental concerns. These flows in RL in supply chains are both dynamic and complex in nature. Further, the environmental impact of RL activities has barely been considered in holistic way in available literature. In this study, a system dynamics model has been developed to analyze and comprehend the green performance of RL activities by predicting the environmental impact of RL activities. The proposed model has been validated by a case study in the context of a food supply chain. In the company where the case study is carried out, the environmental effects of RL activities have been analyzed. These activities in a food supply chain in terms of CO2 (carbon dioxide), NOx (nitrogen oxide), SO2 (sulfur dioxide), and PM (particulate matter) emissions have been predicted through a system dynamics model for the years 2020 to 2024. The proposed methodology is applied in a food supply context, a major player in retail business, especially in emerging economies. According to our findings, the RL activities in a food supply chain can significantly contribute to green performance management by minimizing food waste and loss; hence, the environmental impacts of such activities should be closely examined from a managerial perspective.

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An optimization model for green supply chain management by using a big data analytic approach

Cited by 258 publications

References 75 publications

Managing Capabilities for Supply Chain Resilience Through it Integration

Managing Capabilities for Supply Chain Resilience Through it Integration

The Role of Green Collaborative Strategies in Improving Environmental Sustainability in Supply Chains: Insights from a Case Study

Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics

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