Abstract
Recent research on highly distributed control methods has produced a series of new philosophies based on negotiation, which bring together the process engineering with computer science. Among these control philosophies, the ones based on Multi-agent Systems (MAS) have become especially relevant to address complex tasks and to support distributed decision making in asset management, manufacturing, and logistics. However, these MAS models have the drawback of an excessive dependence on up-to-date field information. In this work, a theoretical and experimental MAS, called MAS-DUO, is presented to test new strategies for managing handling operations supported by feedback coming from radio frequency identification (RFID) systems. These strategies have been based on a new distributed organization model to enforce the idea of division between physical elements and information and communication technologies (ICT) in the product scheduling control. This division in two platforms simplifies the design, the development, and the validation of the MAS, allowing an abstraction and preserving the independency between platforms. The communication between both platforms is based on sharing the parameters of the Markov reward function. This function is mainly made up of the field information coming from the RFID readers incorporated as the internal beliefs of the agent. The proposed MAS have been deployed on the Ciudad Real Central Airport in Spain in order to dimension the ground handling resources.
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References
Schönberger J, Kopfer H (2007) On decision model adaptation in online optimization of a transport system. In: Hans-Otto G, Dirk C.M, Leena S (eds) Management logistischer Netzwerke. Physica-Verlag, HD, pp 361–381
Abramovici M, Filos E (2009) Industrial integration of ICT: opportunities for international research cooperation under the IMS scheme. J Intell Manuf :1–8
Wang G, Huang S, Dismukes J (2004) Product-driven supply chain selection using integrated multi-criteria decision-making methodology. Int J Prod Econ 91(1):1–16
Ashford N, Stanton H, Moore C (1998) Airport operations. McGraw-Hill Professional, New York
Belliotti R (2008) Synthesis 8. Common use facilities and equipment at airports. Airport cooperative research program. Transportation Research Board, Washington
Thorne A, Barret D, McFarlane D (2007) Impact of RFID on aircraft operations processes. White papers Aero-ID Cambridge. University of Cambridge, Cambridge
Atkin J, Burke E, Greenwood J, Reeson D (2008) On-line decision support for take-off runway scheduling with uncertain taxi times at London Heathrow airport. J Scheduling 11(5):323–346
Lim A, Wang F (2005) Robust airport gate assignment. ICTAI ′05 Proceedings of the17th IEEE international conference on tools with artificial intelligence (ICTAI′05) Hong Kong, China
Eurocontrol (2003) Airport collaborative decision making implementation. Eurocontrol airport operations programme. Eurocontrol, Brussels
Dorndorf U (2002) Project scheduling with time windows: from theory to applications. Physica Verlag, New York
Leitão P (2009) Agent-based distributed manufacturing control: A state-of-the-art survey. Eng Appl Artif Intell 22(7):979–991
Gudehus T, Kotzab H (2009) Planning and scheduling production systems from a logistics perspective. Logistics Research 1(3):163–172
Panetto H, Molina A (2008) Enterprise integration and interoperability in manufacturing systems: trends and issues. Comput Ind 59(7):641–646
Camponovo G, Pigneur Y, Lausanne S (2004) Information systems alignment in uncertain environments. International conference on Decision Support Systems (DSS) Prato, Italy
EPCGlobal (2007) EPC Information Services (EPCIS) Version 1.0.1. EPCglobal Inc
Weiming S, Lihui W, Qi H (2006) Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey. Syst Man Cybern C Appl Rev IEEE Trans 36(4):563–577
Karageorgos A, Mehandjiev N, Weichhart G, Hämmerle A (2003) Agent-based optimisation of logistics and production planning. Eng Appl Artif Intell 16(4):335–348
de Weerdt M, Clement B (2009) Introduction to planning in multiagent systems. Multiagent Grid Syst 5(4):345–355
Garcia A, McFarlane D, Thorne A, Fletcher M (2003) The impact of Auto-ID technology in material handling systems. 7th IFAC conference of Intelligent Manufacturing Systems (IMS′03) Budapest, Hungary
Burmeister B (1996) Models and methodolgy for agent-oriented analysis and design. Workshop on agent-oriented programming and distributed systems (KI 96) Saarbrücken, Germany
Wooldridge M, Jennings N (1995) Intelligent agents: theory and practice. Knowl Eng Rev 10(2):115–152
Windt K, Becker T, Jeken O, Gelessus A (2010) A classification pattern for autonomous control methods in logistics. Logistics Res 2(2):109–120
Rao AS, Georgeff MP (1995) BDI agents: From theory to practice. Paper presented at the proceedings of the first international conference on Multi-Agent Systems (ICMAS-95), San Francisco, USA
Van Brussel HWJ, Valckenaers P, Bongaerts L, Peeter P (1998) Reference architecture for holonic manufacturing systems: PROSA. Comput Ind 37(3):255–274
JP LüderA, Sauter T, Deter S, Diep D (2004) Distributed intelligence for plant automation based on multi-agent systems: the PABADIS approach. Production Plannning and Control Taylor & Francis 15(2):201–212
Pechoucek M, Riha A, Vokrinek J, Marik V, Prazma V (2002) ExPlanTech: applying multi-agent systems in production planning. Int J Prod Res 40(15):3681–3692
Iglesias CA, M. Garijo et al (1996) A methodological proposal for multiagent systems development extending commonkads. Proceedings of 10th KAW (KAW 96) Banoe, Canada
Glaser N (1997) The CoMoMAS methodology and environment for multi-agent system development. Multi-Agent Syst Methodol Appl 1286(1997):1–16
Zhang C, Lukose D (1998) Multi-agent systems: methodologies and applications. Springer, New York
Wooldridgey M, Ciancarini P (2001) Agent-oriented software engineering: the state of the art. Agent-Oriented Softw Eng 1957(2001):55–82
Zhang C (2007) Design and simulation of demand information sharing in a supply chain. Simul Model Pract Theory 15(1):32–46
Pechoucek M, Rehak M, Charvat P, Vlcek T, Kolar M (2007) Agent-based approach to mass-oriented production planning: case study. Syst Man Cybern C Appl Rev 37(3):386–395
Puterman ML (1994) Markov decision processes. Wiley, New York
Krajewska M, Kopfer H, Laporte G, Ropke S, Zaccour G (2008) Horizontal cooperation among freight carriers: request allocation and profit sharing. J Oper Res Soc 59(11):1483–1491
Shoham Y, Leyton-Brown K (2009) Multiagent systems. Algorithmic, game-theoretic, and logical foundations. Cambridge University Press, New York
Wooldridge M, Jennings N, Kinny D (2000) The Gaia methodology for agent-oriented analysis and design. Auton Agent Multi Agent Syst 3(3):285–312
Bauer B, Odell J (2005) UML 2.0 and agents: how to build agent-based systems with the new UML standard. Eng Appl Artif Intell 18(2):141–157
Bellifemine F, Caire G, Poggi A, Rimassa G (2003) JADE—a white paper. EXP Search Innov 3(3):6–19
Braubach L, Pokahr A, Lamersdorf W(2003) Jadex: implementing a BDI infrastructure for JADE agents. EXP Search Innov 3(3):76–85
Howden N, Rönnquist R, Hodgson A, Lucas A (2001) JACK Intelligent Agents: Summary of an agent infrastructure. In: Wagner T, Rana O (eds) The 5th international conference on autonomous agents, workshop on infrastructure for agents, MAS and Scalable MAS (Agent 2001) 251–257 Montreal, Canada
Haarslev V, Racer MR (2003) An OWL reasoning agent for the semantic web. In: Proc. of the international workshop on applications, products and services of web-based support systems (WSS03), pp 91–95
Garcia P, Garcia A, Encinas J, De las Morenas J (2009) Experimental platform for the analysis of the RFID enhanced agent based management system of a distribution center. Paper presented at the MITIP, Bergamo, Italy
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This research has been partially supported by the Junta de Comunidades de Castilla-La Mancha, through the research grants PBI08-0267-5500 (Mercury) and PBI06-0152 (AeroLog).
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García Ansola, P., García Higuera, A., Pastor, J.M. et al. Agent-based decision-making process in airport ground handling management. Logist. Res. 3, 133–143 (2011). https://doi.org/10.1007/s12159-011-0052-y
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DOI: https://doi.org/10.1007/s12159-011-0052-y