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Additional resources for Supply Chain: The Way to Flat Organisation
Lassila, O. (2001). The Semantic Web, The Scientific American, May 2001. Brickley, D. V. (2004). ; Toma, I. & and Sapkota, B. 1 Forget, P. ; D’Amours, S. -M. (2006). Collaborative event mangement in supply chains: an agent-based approach, Information Technology for Balanced Manufacturing Systems, volume 220, IFIP International Federation for Information Processing, 2006, Springer, Boston, USA, pp. 89–98 Fox, M. ; Barbuceanu M. & Teigen, R. (2000). Agent-oriented supply-chain management. International Journal of Flexible Manufacturing Systems, 12(2-3), pp.
2000). Agent-oriented supply-chain management. International Journal of Flexible Manufacturing Systems, 12(2-3), pp. ; Hupfer, S. & Arnold, K. (1999). JavaSpaces Principles, Patterns and Practice, The Jini Technology Series, Addison-Wesley, Reading MA, USA. Gelernter, D. (1985). Generative communication in Linda, ACM Transactions on Programming Languages and Systems, volume 7, number 1, January 1985, pp. 80-112 Greenwood, D. (2005). ; Mallya, A. & Suguri, H. (2007). The IEEE FIPA approach to integrating software agents and web services, Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, Honolulu, Hawaii, 2007, Article No.
Thus, we can distinguish the input on the basis of its origins, being rkA and rkB, where A and B represent two distinct locations. Moreover, also the main output can be delivered to different destinations. In particular, these destinations can belong or not to the considered set of processes. In the latter, we indicate as fi the output produced by pi and destined outside the boundary of the system. Therefore, the main output can be distinguished on the basis of the destinations. For instance, we can have fiC and fiD.