Framework for modelling and simulating the supply process monitoring to detect and predict disruptive events

Computers in Industry - Tập 80 - Trang 30-42 - 2016
Erica Fernández1,2, Verónica Bogado3, Enrique Salomone4, Omar Chiotti4,5
1Departamento Ingeniería Industrial, FRRA, UTN, M. Acuña 49, Rafaela 5900, Argentina
2GEMPRO – UTN FRSF, Lavaisse 610, Santa Fe 3000, Argentina
3Departamento Ingeniería en Sistemas de Información, FRVM, UTN, Av. Universidad 450, Villa María 5900, Argentina
4INGAR – CONICET, Avellaneda 3657, Santa Fe 3000, Argentina
5CIDISI – UTN FRSF, Lavaisse 610, Santa Fe 3000, Argentina

Tài liệu tham khảo

Kleindorfer, 2005, Managing disruption risks in supply chains, Prod. Oper. Manage., 14, 53, 10.1111/j.1937-5956.2005.tb00009.x Radjou, 2002 Van Landeghem, 2002, Robust planning: a new paradigm for demand chain planning, J. Oper. Manage., 20, 769, 10.1016/S0272-6963(02)00039-6 Zimmermann, 2006, Agent-based supply network event management, Whitestein Ser. Softw. Agent Technol. Bearzotti, 2012, An autonomous multi-agent approach to supply chain event management, Int. J. Prod. Econ., 135, 468, 10.1016/j.ijpe.2011.08.023 Fernández, 2015, Agent-based monitoring service for management of disruptive events in supply chains, Comput. Ind., 70, 89, 10.1016/j.compind.2015.01.009 Guarnaschelli, 2012, A service-oriented approach to collaborative management of disruptive events in supply chains international journal of innovative computing, Inf. Control, 8, 5341 Fernández, 2012, A model driven development approach based on a reference model for predicting disruptive events in a supply process, Comput. Ind., 63, 482, 10.1016/j.compind.2012.02.002 Moody, 2009, The ‘Physics’ of notations: toward a scientific basis for constructing visual notations in software engineering, IEEE Trans. Softw. Eng., 35, 756, 10.1109/TSE.2009.67 Bansal, 2005, An online decision support framework for managing abnormal supply chain events, Comput. Aided Chem. Eng., 20, 985, 10.1016/S1570-7946(05)80006-9 Liu, 2007, A formal modeling approach for supply chain event management, Decis. Support Syst., 43, 761, 10.1016/j.dss.2006.12.009 Winkelmann, 2009, A conceptual modeling approach for supply chain event management (SCEM) ECIS, Proceedings of the 17th European Conference on Information System, 2009 Huang, 2011, Reactive, model-based monitoring in RFID-enabled manufacturing, Comput. Ind., 62, 811, 10.1016/j.compind.2011.08.003 Luckham, 2001, The power of events: an introduction to complex event processing Meyer, 2010, Robust planning and control using intelligent products. agent-Mediated electronic commerce. designing trading strategies and mechanisms for electronic markets, Lect. Notes Bus. Inf. Process., 59, 10.1007/978-3-642-15117-0_12 Kim, 2011, A rule-based approach to proactive exception handling in business processes, Expert Syst. Appl., 38, 394, 10.1016/j.eswa.2010.06.078 Ko, 2011, Adaptive product tracking in RFID-enabled large-scale supply chain, Expert Syst. Appl., 38, 1583, 10.1016/j.eswa.2010.07.077 Vlachakis, 2014, An event-based framework for supply chain management, 440 Tako, 2012, The application of discrete event simulation and system dynamics in the logistics and supply chain context, Decis. Support Syst., 52, 802, 10.1016/j.dss.2011.11.015 Heinecke, 2013, Modeling the basic cause-Effect relationship between supply chain events and performance, 3rd International Conference on Dynamics in Logistics, 163, 10.1007/978-3-642-35966-8_13 Genc, 2014, Event-based supply chain early warning system for an adaptive production control, 39 Cassandras, 2008 Alexander, 2008, Verbraeck Design guidelines for simulation building blocks, Proceedings – Winter Simulation Conference, 923 Bogado, 2014, Modeling and simulation of software architecture in discrete event system specification for quality evaluation, Simulation, 90, 290, 10.1177/0037549713518586 Gunasekaran, 2004, A framework for supply chain performance measurement, Int. J. Prod. Econ., 87, 333, 10.1016/j.ijpe.2003.08.003 P.Kurien, 2011, Study of performance measurement practices in supply chain management, Int. J. Bus. Manage. Social Sci., 2, 19 Usaid – Deliver Project, Task Order 1, Measuring Supply Chain Performance Guide to Key Performance Indicators for Public Health Managers (2010). Anylogic, Multimethod Simulation Software (2016) Available from: http://www.anylogic.com/ (accessed 15.09.15). Palombarini, 2012, SmartGantt—an intelligent system for real time rescheduling based on relational reinforcement learning, Expert Syst. Appl., 39, 10251, 10.1016/j.eswa.2012.02.176 Puerto de Bahía Blanca, 2016 ANP Administración Nacional de Puertos, 2016 Porto do Rio Grande, Superintendência Do Porto De Rio Grande (2016). www.portoriogrande.com.br (accessed 06.11.15). Sea-Distances. http://www.sea-distances.org/ (accessed 06.11.15).