Supply-side energy modelling for Industrial Internet of Things enabled refined energy management in aluminium extrusions manufacturing
暂无分享,去创建一个
Steve Evans | Renzhong Tang | Martin Geissdoerfer | Yang Liu | Chen Peng | Tao Peng | S. Evans | T. Peng | Martin Geissdoerfer | Yang Liu | Renzhong Tang | Chen Peng
[1] Wei Cai,et al. Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes , 2018, Energies.
[2] Yang Lu,et al. Industry 4.0: A survey on technologies, applications and open research issues , 2017, J. Ind. Inf. Integr..
[3] Huai Gao,et al. A modeling method of task-oriented energy consumption for machining manufacturing system , 2012 .
[4] N. Bocken,et al. Product design and business model strategies for a circular economy , 2016 .
[5] M. Barnett,et al. Forward extrusion through steadily rotating conical dies. Part I: experiments , 2004 .
[6] Weslynne Ashton,et al. From cleaner production to sustainable development: the role of academia , 2015 .
[7] Weipeng Liu,et al. An IoT-enabled Approach for Energy Monitoring and Analysis of Die Casting Machines , 2018 .
[8] Wei Cai,et al. Fine energy consumption allowance of workpieces in the mechanical manufacturing industry , 2016 .
[9] Kuldip Singh Sangwan,et al. Development of a Structured Algorithm to Identify the Status of a Machine Tool to Improve Energy and Time Efficiencies , 2018 .
[10] Axel Tuma,et al. Energy-efficient scheduling in manufacturing companies: A review and research framework , 2016, Eur. J. Oper. Res..
[11] Shun Jia,et al. Therblig-based energy demand modeling methodology of machining process to support intelligent manufacturing , 2014, J. Intell. Manuf..
[12] Chen Peng,et al. Energy consumption monitoring for the order fulfilment in a ubiquitous manufacturing environment , 2017 .
[13] Yingfeng Zhang,et al. Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries , 2020, Journal of Cleaner Production.
[14] Thomas Brudermann,et al. Strategic energy management in energy-intensive enterprises: a quantitative analysis of relevant factors in the Austrian paper and pulp industry , 2015 .
[15] Toshiyuki Sueyoshi,et al. DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries , 2014 .
[16] M. Garetti,et al. A tool to estimate materials and manufacturing energy for a product , 2010, Proceedings of the 2010 IEEE International Symposium on Sustainable Systems and Technology.
[17] Annick Anctil,et al. LCA as a decision support tool for evaluation of best available techniques (BATs) for cleaner production of iron casting , 2015 .
[18] Ray Y. Zhong,et al. RFID-enabled real-time manufacturing execution system for mass-customization production , 2013 .
[19] Matthias Putz,et al. A survey on modeling and forecasting the energy consumption in discrete manufacturing , 2020 .
[20] M. Barnett,et al. Forward extrusion through steadily rotating conical dies. Part II: theoretical analysis , 2004 .
[21] Wei Lv,et al. Life cycle energy consumption and greenhouse gas emissions of iron pelletizing process in China, a case study , 2019, Journal of Cleaner Production.
[22] M. Porter,et al. Creating Shared Value , 2019 .
[23] Charbel José Chiappetta Jabbour,et al. Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations , 2018, Annals of Operations Research.
[24] Boqiang Lin,et al. Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction , 2017 .
[25] Congbo Li,et al. An Internet of Things based energy efficiency monitoring and management system for machining workshop , 2018, Journal of Cleaner Production.
[26] Claire Y. Barlow,et al. Potential reduction of carbon emissions by performance improvement: A cement industry case study , 2016 .
[27] An upper-bound analysis of the tube extrusion process , 2008 .
[28] Sang Do Noh,et al. Cyber Physical Energy System for Saving Energy of the Dyeing Process with Industrial Internet of Things and Manufacturing Big Data , 2019, International Journal of Precision Engineering and Manufacturing-Green Technology.
[29] J. Ajiboye,et al. Upper bound analysis for extrusion at various die land lengths and shaped profiles , 2007 .
[30] Tsuyoshi Fujita,et al. Embodied energy use in China's industrial sectors , 2012 .
[31] Athulan Vijayaraghavan,et al. Automated energy monitoring of machine tools , 2010 .
[32] Michele Germani,et al. Resources value mapping: A method to assess the resource efficiency of manufacturing systems , 2019, Applied Energy.
[33] Juergen Lenz,et al. Energy Efficiency in Machine Tool Operation by Online Energy Monitoring Capturing and Analysis , 2017 .
[34] Yang Liu,et al. How can smart technologies contribute to sustainable product lifecycle management? , 2020 .
[35] Javier Santos,et al. Control and monitoring for sustainable manufacturing in the Industry 4.0: A literature review , 2019, IFAC-PapersOnLine.
[36] Johannes Cornelis de Man,et al. An Industry 4.0 Research Agenda for Sustainable Business Models , 2017 .
[37] Joaquín B. Ordieres Meré,et al. Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.
[38] Yingfeng Zhang,et al. A big data driven analytical framework for energy-intensive manufacturing industries , 2018, Journal of Cleaner Production.
[39] Dries Haeseldonckx,et al. On the evolution of “CLEANER PRODUCTION” as a concept and a practice , 2018 .
[40] Jingxiang Lv,et al. Energy-cyber-physical system enabled management for energy-intensive manufacturing industries , 2019, Journal of Cleaner Production.
[41] Martin Rudberg,et al. Strategic perspectives on energy management: A case study in the process industry , 2013 .
[42] Marc Gravel,et al. Scheduling continuous casting of aluminum using a multiple objective ant colony optimization metaheuristic , 2002, Eur. J. Oper. Res..
[43] Li Li,et al. An integrated approach of process planning and cutting parameter optimization for energy-aware CNC machining , 2017 .
[44] Niklas Panten,et al. Data Collection for Energy Monitoring Purposes and Energy Control of Production Machines , 2015 .
[45] Lee W. Schruben,et al. Simulation modeling with event graphs , 1983, CACM.
[46] Bahman Shabani,et al. Energy consumption assessment in a cement production plant , 2015 .
[47] Peter Krajnik,et al. Resource Conservative Manufacturing: an essential change in business and technology paradigm for sustainable manufacturing , 2013 .
[48] Paul Schönsleben,et al. Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature , 2011 .