Serious Gaming Learning
Dublin Institute of Technology
ARROW@DIT
Conference Papers School of Management
2012-11-19
SERIOUS GAMING LEARNING: SUPPLY CHAIN MULTI-AGENT WEB-BASED SIMULATION GAME
Ayman Tobail
Dublin Institute of Technology
John Crowe
Dublin Institute of Technology, john.crowe@dit.ie
Amr Arisha
Dublin Institute of Technology
Follow this and additional works at: http://arrow.dit.ie/buschmancon Part of the Business Administration, Management, and Operations Commons, and the Curriculum and Instruction Commons Recommended Citation
Tobail, A, Crowe, J and Arisha, A. (2012). Serious Gaming Learning: Supply Chain Multi-Agent Web-Based Simulation Game, ICERI 2012 (pp. xxxx-xx). Madrid.
This Conference Paper is brought to you for free and open access by the School of Management at ARROW@DIT. It has been accepted for inclusion in Conference Papers by an authorized administrator of ARROW@DIT. For more information, please contact yvonne.desmond@dit.ie, arrow.admin@dit.ie.
This work is licensed under a Creative Commons AttributionNoncommercial-Share Alike 3.0 License
SERIOUS GAMING LEARNING: SUPPLY CHAIN MULTI-AGENT WEB-BASED SIMULATION GAME
Ayman Tobail, John Crowe, Amr Arisha
3S Group, College of Business, Dublin Institute of Technology (DIT), Dublin (IRELAND) ayman.tobail@dit.ie
Abstract
High levels of complexity and uncertainty, and various sources of risks, create challenges for supply chain networks in achieving satisfactory performance, but advances in Information Technology can help supply chain decision makers predict the magnitude and impact of the risks related to their decisions. The framework proposed in this paper offers a solution that integrates intelligent-agents, simulation modelling, and optimisation. Its friendly, animated, interactive web-based interface is especially designed to engage the user in a ‘serious game’ environment. Each user plays a specific role in the supply chain network, and encounters the consequences of their
ARROW@DIT
Conference Papers School of Management
2012-11-19
SERIOUS GAMING LEARNING: SUPPLY CHAIN MULTI-AGENT WEB-BASED SIMULATION GAME
Ayman Tobail
Dublin Institute of Technology
John Crowe
Dublin Institute of Technology, john.crowe@dit.ie
Amr Arisha
Dublin Institute of Technology
Follow this and additional works at: http://arrow.dit.ie/buschmancon Part of the Business Administration, Management, and Operations Commons, and the Curriculum and Instruction Commons Recommended Citation
Tobail, A, Crowe, J and Arisha, A. (2012). Serious Gaming Learning: Supply Chain Multi-Agent Web-Based Simulation Game, ICERI 2012 (pp. xxxx-xx). Madrid.
This Conference Paper is brought to you for free and open access by the School of Management at ARROW@DIT. It has been accepted for inclusion in Conference Papers by an authorized administrator of ARROW@DIT. For more information, please contact yvonne.desmond@dit.ie, arrow.admin@dit.ie.
This work is licensed under a Creative Commons AttributionNoncommercial-Share Alike 3.0 License
SERIOUS GAMING LEARNING: SUPPLY CHAIN MULTI-AGENT WEB-BASED SIMULATION GAME
Ayman Tobail, John Crowe, Amr Arisha
3S Group, College of Business, Dublin Institute of Technology (DIT), Dublin (IRELAND) ayman.tobail@dit.ie
Abstract
High levels of complexity and uncertainty, and various sources of risks, create challenges for supply chain networks in achieving satisfactory performance, but advances in Information Technology can help supply chain decision makers predict the magnitude and impact of the risks related to their decisions. The framework proposed in this paper offers a solution that integrates intelligent-agents, simulation modelling, and optimisation. Its friendly, animated, interactive web-based interface is especially designed to engage the user in a ‘serious game’ environment. Each user plays a specific role in the supply chain network, and encounters the consequences of their
References: [1] [2] I. Manuj and J. T. Mentzer, "GLOBAL SUPPLY CHAIN RISK MANAGEMENT," Journal of Business Logistics, vol. 29, pp. 133-155, 2008. R. D. Wilding, "The Mitigation of Supply Chain Risk," Inside Supply Chain Management, vol. 18, pp. 12-13, 2007.