Reactive control of overall power consumption in flexible manufacturing systems scheduling: A Potential Fields model
暂无分享,去创建一个
Damien Trentesaux | Cyrille Pach | Thierry Berger | Yves Sallez | D. Trentesaux | T. Berger | Y. Sallez | C. Pach
[1] André Zein,et al. Transition Towards Energy Efficient Machine Tools , 2012 .
[2] Massimo Paolucci,et al. Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops , 2012 .
[3] S. Borlase,et al. The evolution of distribution , 2009, IEEE Power and Energy Magazine.
[4] John W. Sutherland,et al. A New Shop Scheduling Approach in Support of Sustainable Manufacturing , 2011 .
[5] Damien Trentesaux,et al. An effective potential field approach to FMS holonic heterarchical control , 2012 .
[6] Damien Trentesaux,et al. Sustainability in Manufacturing Operations Scheduling: Stakes, Approaches and Trends , 2014, APMS.
[7] Vimal Dhokia,et al. Energy efficient process planning for CNC machining , 2012 .
[8] Oussama Khatib,et al. Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1986 .
[9] Pierre Lopez,et al. The energy scheduling problem: Industrial case-study and constraint propagation techniques , 2013 .
[10] John W. Sutherland,et al. A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction , 2011 .
[11] António Dourado,et al. Global optimization of energy and production in process industries: a genetic algorithm application , 1997 .
[12] Paulo Leitão,et al. Benchmarking flexible job-shop scheduling and control systems , 2013 .
[13] Damien Trentesaux,et al. Reactive and energy-aware scheduling of flexible manufacturing systems using potential fields , 2014, Comput. Ind..
[14] Damien Trentesaux,et al. ORCA-FMS: a dynamic architecture for the optimized and reactive control of flexible manufacturing scheduling , 2014, Comput. Ind..
[15] Seiichi Shin,et al. Decentralized Control of Autonomous Swarm Systems Using Artificial Potential Functions: Analytical Design Guidelines , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
[16] Vladimír Marík,et al. Industrial adoption of agent-based technologies , 2005, IEEE Intelligent Systems.
[17] Martin Jänicke,et al. Ecological modernisation: new perspectives , 2008 .
[18] Damien Trentesaux,et al. Effective, Energy-Aware Control of a Production System: A Potential Fields Approach , 2013 .
[19] Stefan Voß,et al. Meta-heuristics: The State of the Art , 2000, Local Search for Planning and Scheduling.
[20] S. Ashok,et al. Peak Load Management in Electrolytic Process Industries , 2008, IEEE Transactions on Power Systems.
[21] Yazid Mati,et al. A polynomial algorithm for a two-job shop scheduling problem with routing flexibility , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[22] Damien Trentesaux,et al. The lifecycle of active and intelligent products: The augmentation concept , 2010, Int. J. Comput. Integr. Manuf..
[23] Alexis Sagastume Gutiérrez,et al. Cleaner production in a small lime factory by means of process control , 2010 .
[24] Sanjay E. Sarma,et al. THE INTELLIGENT PRODUCT IN MANUFACTURING CONTROL AND MANAGEMENT , 2002 .
[25] Damien Trentesaux,et al. Reducing myopic behavior in FMS control: A semi-heterarchical simulation-optimization approach , 2014, Simul. Model. Pract. Theory.
[26] Bengt Lennartson,et al. Embedding detailed robot energy optimization into high-level scheduling , 2010, 2010 IEEE International Conference on Automation Science and Engineering.
[27] Agnes Pechmann,et al. Optimizing Energy Costs by Intelligent Production Scheduling , 2011 .
[28] Joseph Sarkis,et al. Greening the manufacturing function , 1995 .
[29] Adriana Giret,et al. Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm , 2013 .
[30] Jan Holmström,et al. Intelligent Products: A survey , 2009, Comput. Ind..
[31] Lihui Wang,et al. Optimization of machining processes from the perspective of energy consumption: A case study , 2012 .
[32] Peter G. Taylor,et al. Final energy use in IEA countries: The role of energy efficiency , 2010 .
[33] Marco Taisch,et al. Simulation Modeling of Energy Dynamics in Discrete Manufacturing Systems , 2012 .
[34] Farrokh Albuyeh,et al. Grid of the future , 2009, IEEE Power and Energy Magazine.
[35] Vittaldas V. Prabhu. Services for Competitive and Sustainable Manufacturing in the Smart Grid , 2012, Service Orientation in Holonic and Multi-Agent Manufacturing Control.
[36] Huai Gao,et al. A modeling method of task-oriented energy consumption for machining manufacturing system , 2012 .
[37] Wim Dewulf,et al. Improvement Potential for Energy Consumption in Discrete Part Production Machines , 2007 .
[38] Hongwei Ding,et al. A low-carbon production scheduling system considering renewable energy , 2011, Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics.
[39] Rubén Ruiz,et al. Minimising total tardiness in the m-machine flowshop problem: A review and evaluation of heuristics and metaheuristics , 2008, Comput. Oper. Res..
[40] Sami Kara,et al. Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach , 2012 .
[41] Liang Gao,et al. Dynamic scheduling model in FMS by considering energy consumption and schedule efficiency , 2012, Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD).
[42] Sami Kara,et al. Renewable energy integration into factories: Real-time control of on-site energy systems , 2015 .