The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Tao Lin - One of the best experts on this subject based on the ideXlab platform.
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effects of natural environment on urban household Energy Usage carbon emissions
Energy and Buildings, 2013Co-Authors: Quanyi Qiu, Guoqing Zhang, Tao LinAbstract:Abstract The residential household becomes an important contributor to carbon emissions under rapid urbanization. This study analyzes the relationship between urban residential Energy Usage carbon emission and the natural environment in Xiamen, southeast China, using integrated residential data from survey questionnaires and remote sensing and GIS techniques. We first eliminate household social, economic and construction impacts by establishing a standardized family and choosing housing units constructed after the year 2003. We then use ordinary least squares regression to explain the effect of buildings’ surrounding natural conditions on urban Energy Usage carbon emissions. The results show that urban home Energy Usage carbon emissions were reduced by green spaces and water bodies, after building construction and household social and economic impact factors were eliminated. Water bodies show a closer relationship with carbon emissions than green spaces. These results prove that green spaces and bodies of water are important in residential Energy Usage carbon emission reduction. Therefore, better green space and water planning will improve sustainable urban development.
Mohamad Y Jaber - One of the best experts on this subject based on the ideXlab platform.
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supply chain models with greenhouse gases emissions Energy Usage imperfect process under different coordination decisions
International Journal of Production Economics, 2019Co-Authors: Beatrice Marchi, Simone Zanoni, Lucio Zavanella, Mohamad Y JaberAbstract:Abstract Environmental issues, mainly greenhouse gas (GHG) emissions, are in large part the result of the excessive use of Energy in production systems. The scarcity of resources, governmental regulations, and public awareness about sustainability make them expensive for companies. The speed of producing items (production rate) impacts GHG emissions generation in manufacturing, i.e., usually faster production results in more emissions, which is controllable in many cases. The production rate also affects the process quality and reliability; i.e., fast production speeds deteriorate the system fast, resulting in reworking defective items and machine failure. Such quality and reliability issues increase Energy consumption and subsequently costs. This paper develops two-level (vendor-buyer) supply chain models that tackle these issues. It considers two coordinated policies: classical and vendor-managed inventory with consignment stock (VMI-CS), where the objective is to find the values of the decision variables that yield the minimum total supply chain cost. It includes the costs of holding inventory, GHG emissions and tax, Energy Usage, product and process quality, and transportation operations. The decision variables are the order quantity, the number of shipments, and the production rate. The paper compares the numerical results of the two coordination policies. It also provides managerial insights on the economic and environmental performance of the supply chains.
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supply chain models with greenhouse gases emissions Energy Usage and different coordination decisions
Applied Mathematical Modelling, 2015Co-Authors: Ehab Bazan, Mohamad Y Jaber, Simone ZanoniAbstract:Abstract Guaranteeing environmentally conscious supply chain operations is closely linked to an organization’s sustainability and success. This paper presents two models that consider Energy used for production along with the greenhouse gases (GHG) emissions from production and transportation operations in a single-vendor (manufacturer) single-buyer system under a multi-level emission-taxing scheme. The first model considers a classical coordination policy, while the second considers a vendor-managed inventory with consignment stock (VMI-CS) agreement policy. Numerical examples are provided and the two models are compared to outline managerial implications and insights. Energy Usage has been found to be the main cost component for both models, thus reducing Energy Usage is a priority. Key results show that the VMI-CS model, over the different scenarios considered, allows the system to operate more economically.
Simone Zanoni - One of the best experts on this subject based on the ideXlab platform.
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supply chain models with greenhouse gases emissions Energy Usage imperfect process under different coordination decisions
International Journal of Production Economics, 2019Co-Authors: Beatrice Marchi, Simone Zanoni, Lucio Zavanella, Mohamad Y JaberAbstract:Abstract Environmental issues, mainly greenhouse gas (GHG) emissions, are in large part the result of the excessive use of Energy in production systems. The scarcity of resources, governmental regulations, and public awareness about sustainability make them expensive for companies. The speed of producing items (production rate) impacts GHG emissions generation in manufacturing, i.e., usually faster production results in more emissions, which is controllable in many cases. The production rate also affects the process quality and reliability; i.e., fast production speeds deteriorate the system fast, resulting in reworking defective items and machine failure. Such quality and reliability issues increase Energy consumption and subsequently costs. This paper develops two-level (vendor-buyer) supply chain models that tackle these issues. It considers two coordinated policies: classical and vendor-managed inventory with consignment stock (VMI-CS), where the objective is to find the values of the decision variables that yield the minimum total supply chain cost. It includes the costs of holding inventory, GHG emissions and tax, Energy Usage, product and process quality, and transportation operations. The decision variables are the order quantity, the number of shipments, and the production rate. The paper compares the numerical results of the two coordination policies. It also provides managerial insights on the economic and environmental performance of the supply chains.
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supply chain models with greenhouse gases emissions Energy Usage and different coordination decisions
Applied Mathematical Modelling, 2015Co-Authors: Ehab Bazan, Mohamad Y Jaber, Simone ZanoniAbstract:Abstract Guaranteeing environmentally conscious supply chain operations is closely linked to an organization’s sustainability and success. This paper presents two models that consider Energy used for production along with the greenhouse gases (GHG) emissions from production and transportation operations in a single-vendor (manufacturer) single-buyer system under a multi-level emission-taxing scheme. The first model considers a classical coordination policy, while the second considers a vendor-managed inventory with consignment stock (VMI-CS) agreement policy. Numerical examples are provided and the two models are compared to outline managerial implications and insights. Energy Usage has been found to be the main cost component for both models, thus reducing Energy Usage is a priority. Key results show that the VMI-CS model, over the different scenarios considered, allows the system to operate more economically.
Kalle Kivimaa - One of the best experts on this subject based on the ideXlab platform.
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smartgrid Energy Usage data storage and presentation systems devices protocol and processes including an announcement protocol
2011Co-Authors: Pasi Hurri, Niilo Neuvo, Topi Mikkola, Erik Bunn, Iikka Kaakkola, Kalle KivimaaAbstract:This disclosure relates to systems, devices, protocols, and processes for retrieving, accessing, and presenting information of Energy Usage using a distributed storage process and distributed logical services to provide a user with real-time Energy Usage information and visualization.
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smartgrid Energy Usage data storage and presentation systems devices protocol and processes
2011Co-Authors: Pasi Hurri, Niilo Neuvo, Topi Mikkola, Erik Bunn, Iikka Kaakkola, Kalle KivimaaAbstract:This disclosure relates to systems, devices, protocols, and processes for retrieving, accessing, and presenting information of Energy Usage using a distributed storage process and distributed logical services to provide a user with real-time Energy Usage information and visualization.
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smartgrid Energy Usage data storage and presentation systems devices protocol and processes including a visualization and load fingerprinting process
2011Co-Authors: Pasi Hurri, Niilo Neuvo, Topi Mikkola, Erik Bunn, Iikka Kaakkola, Kalle KivimaaAbstract:This disclosure relates to systems, devices, protocols, and processes for retrieving, accessing, and presenting information of Energy Usage using a distributed storage process and distributed logical services to provide a user with real-time Energy Usage information and visualization.
Quanyi Qiu - One of the best experts on this subject based on the ideXlab platform.
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effects of natural environment on urban household Energy Usage carbon emissions
Energy and Buildings, 2013Co-Authors: Quanyi Qiu, Guoqing Zhang, Tao LinAbstract:Abstract The residential household becomes an important contributor to carbon emissions under rapid urbanization. This study analyzes the relationship between urban residential Energy Usage carbon emission and the natural environment in Xiamen, southeast China, using integrated residential data from survey questionnaires and remote sensing and GIS techniques. We first eliminate household social, economic and construction impacts by establishing a standardized family and choosing housing units constructed after the year 2003. We then use ordinary least squares regression to explain the effect of buildings’ surrounding natural conditions on urban Energy Usage carbon emissions. The results show that urban home Energy Usage carbon emissions were reduced by green spaces and water bodies, after building construction and household social and economic impact factors were eliminated. Water bodies show a closer relationship with carbon emissions than green spaces. These results prove that green spaces and bodies of water are important in residential Energy Usage carbon emission reduction. Therefore, better green space and water planning will improve sustainable urban development.
