In this work,the Slacks-Based Measure(SBM)model within Data Envelopment Analysis was employed to establish a set of indicators for evaluating the energy efficiency of manufacturing workshops.The energy efficiency of 1...In this work,the Slacks-Based Measure(SBM)model within Data Envelopment Analysis was employed to establish a set of indicators for evaluating the energy efficiency of manufacturing workshops.The energy efficiency of 12 Company CW’s manufacturing workshops from 2016 to 2022 was assessed.The findings indicated that aside from a few workshops operating at the production frontier,the rest exhibit significant fluctuations in energy efficiency and generally low energy efficiency.Subsequently,a combined GRA-Tobit analysis model was introduced to identify factors influencing the energy efficiency of Company CW’s manufacturing workshops.Regression analysis revealed that technological investments,employee quality,workshop production scale,investment in clean energy,and the level of pollution control all significantly impact the energy efficiency of Company CW’s manufacturing workshops.By evaluating the energy efficiency of Company CW’s manufacturing workshops and studying their influencing factors,this research aids company managers in understanding the energy efficiency of the manufacturing process.It optimizes the combination of various production elements,thereby offering effective guidance for improving the energy efficiency issues of the company’s manufacturing workshops,which can contribute to enhancing the corporation’s overall energy efficiency.展开更多
As energy efficiency is one of the key essentials towards sustainability, the development of an energy-resource efficient manufacturing system is among the great challenges facing the current industry. Meanwhile, the ...As energy efficiency is one of the key essentials towards sustainability, the development of an energy-resource efficient manufacturing system is among the great challenges facing the current industry. Meanwhile, the availability of advanced technological innovation has created more complex manufacturing systems that involve a large variety of processes and machines serving different functions. To extend the limited knowledge on energy-efficient scheduling, the research presented in this paper attempts to model the production schedule at an operation process by considering the balance of energy consumption reduction in production, production work flow （productivity） and quality. An innovative systematic approach to manufacturing energy-resource efficiency is proposed with the virtual simulation as a predictive modelling enabler, which provides real-time manufacturing monitoring, virtual displays and decision-makings and consequentially an analytical and multidimensional correlation analysis on interdependent relationships among energy consumption, work flow and quality errors. The regression analysis results demonstrate positive relationships between the work flow and quality errors and the work flow and energy consumption. When production scheduling is controlled through optimization of work flow, quality errors and overall energy consumption, the energy-resource efficiency can be achieved in the production. Together, this proposed multidimensional modelling and analysis approach provides optimal conditions for the production scheduling at the manufacturing system by taking account of production quality, energy consumption and resource efficiency, which can lead to the key competitive advantages and sustainability of the system operations in the industry.展开更多
Green manufacturing is a new way out for the auto industry—ZHAO Hang, president of CATARC The green manufacturing means a lot, in terms of the manufacturing process, material and techniques. China spares no efforts t...Green manufacturing is a new way out for the auto industry—ZHAO Hang, president of CATARC The green manufacturing means a lot, in terms of the manufacturing process, material and techniques. China spares no efforts to producing vehicles and it展开更多
Perovskite-based photodetectors offer a compelling avenue for cutting-edge photonic applications due to their unique blend of optoelectronic characteristics and cost-efficient manufacturing processes.This comprehensiv...Perovskite-based photodetectors offer a compelling avenue for cutting-edge photonic applications due to their unique blend of optoelectronic characteristics and cost-efficient manufacturing processes.This comprehensive review investigates the advancements and hurdles facing organic and inorganic perovskite-based photodetectors.The introduction sets the stage by underscoring the significance of perovskite photodetectors and outlining the review’s scope.It also provides a primer on perovskite materials and structures,encompassing organic and inorganic variants,their synthesis techniques,and distinct properties.The section on working principles elucidates the fundamental mechanisms governing photovoltaic,photoconductive,phototransistor,and photodiode photodetectors,explaining how these devices capture and convert light into electrical signals.The review explores various device fabrication techniques,offering insights into methods like solution processing,vacuum deposition,and hybrid approaches,each with its merits and challenges.Performance optimization strategies are thoroughly examined,focusing on improving responsivity,detectivity,stability,and reliability,while also reducing noise and optimizing perovskite interfaces.It covers a diverse array of device architectures and configurations,including single-junction,tandem,and multijunction designs,as well as flexible and transparent photodetector configurations.Furthermore,the review discusses the integration and applications of perovskite-based photodetectors across imaging,environmental monitoring,communication,and healthcare,showcasing their versatility in realworld scenarios.Lastly,it addresses the challenges and future prospects of perovskite-based photodetectors,highlighting issues related to stability,toxicity,scalability,and emerging technologies,providing a glimpse into the exciting future of this field.展开更多
文摘In this work,the Slacks-Based Measure(SBM)model within Data Envelopment Analysis was employed to establish a set of indicators for evaluating the energy efficiency of manufacturing workshops.The energy efficiency of 12 Company CW’s manufacturing workshops from 2016 to 2022 was assessed.The findings indicated that aside from a few workshops operating at the production frontier,the rest exhibit significant fluctuations in energy efficiency and generally low energy efficiency.Subsequently,a combined GRA-Tobit analysis model was introduced to identify factors influencing the energy efficiency of Company CW’s manufacturing workshops.Regression analysis revealed that technological investments,employee quality,workshop production scale,investment in clean energy,and the level of pollution control all significantly impact the energy efficiency of Company CW’s manufacturing workshops.By evaluating the energy efficiency of Company CW’s manufacturing workshops and studying their influencing factors,this research aids company managers in understanding the energy efficiency of the manufacturing process.It optimizes the combination of various production elements,thereby offering effective guidance for improving the energy efficiency issues of the company’s manufacturing workshops,which can contribute to enhancing the corporation’s overall energy efficiency.
基金Supported by the EU 7th Framework ICT Programme under Euro Energest Project(Contract No.288102)
文摘As energy efficiency is one of the key essentials towards sustainability, the development of an energy-resource efficient manufacturing system is among the great challenges facing the current industry. Meanwhile, the availability of advanced technological innovation has created more complex manufacturing systems that involve a large variety of processes and machines serving different functions. To extend the limited knowledge on energy-efficient scheduling, the research presented in this paper attempts to model the production schedule at an operation process by considering the balance of energy consumption reduction in production, production work flow （productivity） and quality. An innovative systematic approach to manufacturing energy-resource efficiency is proposed with the virtual simulation as a predictive modelling enabler, which provides real-time manufacturing monitoring, virtual displays and decision-makings and consequentially an analytical and multidimensional correlation analysis on interdependent relationships among energy consumption, work flow and quality errors. The regression analysis results demonstrate positive relationships between the work flow and quality errors and the work flow and energy consumption. When production scheduling is controlled through optimization of work flow, quality errors and overall energy consumption, the energy-resource efficiency can be achieved in the production. Together, this proposed multidimensional modelling and analysis approach provides optimal conditions for the production scheduling at the manufacturing system by taking account of production quality, energy consumption and resource efficiency, which can lead to the key competitive advantages and sustainability of the system operations in the industry.
文摘Green manufacturing is a new way out for the auto industry—ZHAO Hang, president of CATARC The green manufacturing means a lot, in terms of the manufacturing process, material and techniques. China spares no efforts to producing vehicles and it
基金National Natural Science Foundation of China(62274190,52350410471)Beijing Natural Science Foundation(IS24030)International Collaboration Project of Ministry of Science and Technology(G2022184006L)。
文摘Perovskite-based photodetectors offer a compelling avenue for cutting-edge photonic applications due to their unique blend of optoelectronic characteristics and cost-efficient manufacturing processes.This comprehensive review investigates the advancements and hurdles facing organic and inorganic perovskite-based photodetectors.The introduction sets the stage by underscoring the significance of perovskite photodetectors and outlining the review’s scope.It also provides a primer on perovskite materials and structures,encompassing organic and inorganic variants,their synthesis techniques,and distinct properties.The section on working principles elucidates the fundamental mechanisms governing photovoltaic,photoconductive,phototransistor,and photodiode photodetectors,explaining how these devices capture and convert light into electrical signals.The review explores various device fabrication techniques,offering insights into methods like solution processing,vacuum deposition,and hybrid approaches,each with its merits and challenges.Performance optimization strategies are thoroughly examined,focusing on improving responsivity,detectivity,stability,and reliability,while also reducing noise and optimizing perovskite interfaces.It covers a diverse array of device architectures and configurations,including single-junction,tandem,and multijunction designs,as well as flexible and transparent photodetector configurations.Furthermore,the review discusses the integration and applications of perovskite-based photodetectors across imaging,environmental monitoring,communication,and healthcare,showcasing their versatility in realworld scenarios.Lastly,it addresses the challenges and future prospects of perovskite-based photodetectors,highlighting issues related to stability,toxicity,scalability,and emerging technologies,providing a glimpse into the exciting future of this field.
