The unequal contribution to global energy consumption along the supply chain

Meng, Jing; Hu, Xiangping; Chen, Peipei; Coffman, D’Maris; Han, Mengyao

doi:10.1016/j.jenvman.2020.110701

Cited by 41 publications

(16 citation statements)

References 42 publications

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“…On the other hand, Lan and Malik et al( Lan et al, 2016 ) point that as the per capita GDP increases, so does the geographical separation between the ‘production’ of energy and the ‘consumption’ of energy. According to the results of Meng and Hu et al( Meng et al, 2020 ), most of the developing countries are producers, whose production- and final production-based energy consumptions are higher than their consumption-based ones. In contrast, the developed countries are consumers, whose consumption-based energy consumptions are higher.…”

Section: Results and Analysismentioning

confidence: 99%

Spillover effects of the United States economic slowdown induced by COVID-19 pandemic on energy, economy, and environment in other countries

Wang

Han

2021

Environmental Research

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The United States has become the country hardest hit by the COVID-19 pandemic. This pandemic has not only led to the largest decline in economic output but also caused a sharp decline in carbon emissions and energy consumption in the United States after World War II. This study aims to evaluate how to spillover effects of the US economic slowdown caused by the COVID-19 pandemic on the 3E (Energy Economy Environment) in other countries. To this end, the international 3E for 2000 and 2014, and nine indicators based on network analysis to dynamically study the changes in the degree of 3E impact between countries. And then, we analyzed the impact of the epidemic on the 3E of various countries, with focusing on the interaction between the United States and other countries. The results show that the internal carbon emission density and internal energy consumption density of the United States declined during 2010–2014, whereas the internal carbon emission density and internal energy consumption density of developing countries increased. Next, changes in US carbon emissions induced by the epidemic have a more significant impact on Canada, China, Mexico, the European Union, and Russia. Finally, the internal and external carbon emission indexes of most countries have decreased, which indicates that most countries are affected by the carbon reduction and energy consumption caused by the pandemic in the US. This information provides a new perspective for assessing the impact of 3E between countries suffered from the COVID-19 Pandemic.

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Section: Results and Analysismentioning

confidence: 99%

Spillover effects of the United States economic slowdown induced by COVID-19 pandemic on energy, economy, and environment in other countries

Wang

Han

2021

Environmental Research

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“…Besides, for smooth running business, there considered Stackelberg game policy. Meng et al [38] developed SCM based paper in which energy consumption was distributed unequally among the members. The energy consumption based on their paper gave a new direction for the next research for considerable demand.…”

Section: Literature Reviewmentioning

confidence: 99%

A Smart Production Process for the Optimum Energy Consumption with Maintenance Policy under a Supply Chain Management

et al. 2020

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In the current socio-economic situation, smart products are essential for daily life. Energy is a very much related matter to smart products. To buy a smart product, people mostly care about that smart product’s energy consumption and the price. There is always a tug-of-war between the price of the product and the energy consumption of that product. An energy-efficient smart production system is described in this study where the production is variable, and in the out-of-control state, it produces defective products. For prevention of the out-of-control state, preventive maintenance and restoration are used within the smart production system. The rework policy helps to profit from the defective products, and the warranty policy helps to motivate the users. This model applies an improved strategy to the production process and develops a new product that needs to be marketed. Finally, this model plays a vital role in creating smart products with moderate energy consumption at a minimal cost. The mathematical model is a non-linear profit maximization problem that is solved both analytically and numerically. The classical optimization technique founds optimum solutions. Different numerical examples and sensitivity analysis with graphs are used to validate the mathematical model.

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“…Climate change poses one of the greatest threats to human life (Meng et al, 2020). Global population growth has led to an increase in energy consumption due to the necessity of responding to growing demands (Ramezanian et al, 2019) and consequently has accelerated climate change and global warming.…”

Section: Introductionmentioning

confidence: 99%

Green and Resilient Mixed Supply Chain Network Design to Reduce Environmental Impacts and Deal With Disruptions

Vali-Siar

Roghanian

2022

Preprint

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Disruption risks may halt or adversely affect supply chain operations and can lead to deviations in its objectives. One of the most important objectives of the supply chain which can be adversely affected by disruptions, is environmental objective. Therefore, considering supply chain resilience and environmental aspects simultaneously is of great importance. In this paper, the problem of designing a green and resilient mixed open and closed-loop supply chain network under operational and disruption risks has been studied. A bi-objective mixed integer linear programming model is proposed to formulate the problem. Some resilience strategies are applied to deal with disruption risks and enhance supply chain resilience. In order to overcome the complexity of the problem and solve the problems with medium and large sizes, a new meta-heuristic algorithm called multi-objective hybrid Ant-colony optimization and teaching and learning based optimization (ACO-TLBO) has been proposed and compared with two hybrid metaheuristics and the augmented ε-constraint method through various test problems. The outcomes showed that the ACO-TLBO algorithm is very efficient in obtaining high-quality Pareto solutions and is the best method among the proposed methods. Also, in order to show the applicability of the problem and validate the model and solution methods, a real case study in the tire industry has been presented and analyzed. The results of analyses demonstrate the high effectiveness of resilience strategies and the necessity of joint consideration of resilience and greenness in the supply chain design.

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The unequal contribution to global energy consumption along the supply chain

Cited by 41 publications

References 42 publications

Spillover effects of the United States economic slowdown induced by COVID-19 pandemic on energy, economy, and environment in other countries

Spillover effects of the United States economic slowdown induced by COVID-19 pandemic on energy, economy, and environment in other countries

A Smart Production Process for the Optimum Energy Consumption with Maintenance Policy under a Supply Chain Management

Green and Resilient Mixed Supply Chain Network Design to Reduce Environmental Impacts and Deal With Disruptions

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