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Moving to the Next Step As with Step One, if your company already monitors inventory in real time, and continuously updates its plans, schedules, and forecasts, Step Two will only be a validation, and you will be ready to move to Step Three within weeks. However, if your company struggles to fill orders in a timely fashion, and your plans are inaccurate or are not updated properly, Step Two could take as long as four months to complete. By the end of Step Two, the community will be managed by a logic a set of procedures that governs its actions and that is measurable and sustainable. Before leaving Step Two, a trust level must exist in the community that is based on confidence in each participant resulting from their performance against standardized measurements. This isn t to say that all companies within the community blindly lay aside their previous rivalries or privacy measures. Rather, while individual companies may not trust each other in the abstract, they must trust that all members of the community follow the same rules, and that these rules protect the integrity of each company while enhancing their mutual benefit. A company is ready to move on to Step Three when: The procedures are standardized. The community must establish and self-administer a standardized set of agreements that describe roles

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where IdV V is the identity matrix on vanishing markings. If IdV V PV V is not invertible, it means a pathological behavior (i.e. a non-zero probability of in nitely remaining in the vanishing states). Otherwise the two expressions can be used to compute P . This kind of elimination of vanishing states is applicable to more general models (e.g. deterministic SPNs) under some hypotheses. The GSPN model is the one that has yielded the greatest number of speci cations and analyses of systems [MAR 95]. The tool GreatSPN [CHI 95] has contributed to its expansion. Observing that these analyses are based on a nite reachability graph, several extensions have been introduced: inhibitor arcs, guards on transitions, rates depending on the current marking (called functional dependencies), etc. We will mention the consequences of these extensions on the more elaborate methods. 9.3.4. Deterministic stochastic Petri nets If the exponential distributions are appropriate for modeling events whose temporal distribution is unknown, some operations have a duration included in a time interval or even assimilable to a constant. In this case, the choice of an exponential distribution leads to very approximative results. So, an extension of the GSPN model including deterministic transitions has been introduced [MAR 87, LIN 98]. These nets are usually called deterministic stochastic Petri nets (DSPN) . Several variations have been successively proposed for covering different situations. Here we only describe a basic version in order to more easily explain the stochastic process. We exclude immediate transitions since their handling is performed by the technique described in the previous section. We also forbid functional dependencies:

an in nite behavior. The concurrent graph may not show a cycle while the system has the capacity to carry out an in nite sequence (see the example presented in Figures 13.6 and 13.7). The simple graph may contain a cycle, while the system cannot produce an in nite sequence (Figures 13.8 and 13.9).

L, Buckwalter, P, Zhang, X, Smith, E, & O Brien, M (2005) Prevalence of speci c language impairment in kindergarten children Journal of Speech Language and Hearing Research, 40, 1245 1260 Tomblin, J B, Smith, E, & Zhang, X (1997) Epidemiology of specific language impairment: Prenatal and perinatal risk factors Journal of Communication Disorders, 30, 325 343 Tomblin, J B, Zhang, X, Buckwalter, P, & Catts, H (2000) The association of reading disability, behavioral disorders, and language impairment among second-grade children Journal of Child Psychology and Psychiatry, 41, 473 482 Tomson, T, & Battino, D (2005) Teratogenicity of antiepileptic drugs: State of the art Current Opinion in Neurology, 18, 135 140 Tordoir, W F, & Van Sittert, N J (1994) Organochlorines Toxicology and Applied Pharmacology, 91, 51 58 Torgesen, J K, & Mathes, P (1999).

FIGURE 8.13 Supergain pattern of an element with other elements terminated by short circuits. The parameters are the same as in Figure 8.12. The leaky wave pattern is also shown.

(for EVA)

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= I1(1) + a 2 I 2(1) + a I 3(1) + I1( 2) + a 2 a I1( 2) + a a 2 I1( 2)

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What every teacher should know about phonological awareness In Consortium On Reading Excellence (CORE) (Ed), Reading research: Anthology: The why of reading instruction (pp 54 61) Novato, CA: Arena Torgesen, J K, Wagner, R K, & Rashotte, C A (1994) Longitudinal studies of phonological processing and reading Journal of Learning Disabilities, 27, 276 286 Torgesen, J K, Wagner, R K, Rashotte, C A, Rose, E, Lindamood, P, Conway, T, et al (1999) Preventing reading failure in young children with phonological processing disabilities: Group and individual responses to instruction Journal of Educational Psychology, 91, 579 593 Torres, A R, Whitney, J, & Gonzalez-Heydrich, J (2008) Attention de cit/hyperactivity disorder in pediatric patients with epilepsy: Review of pharmacological treatment Epilepsy & Behavior, 12, 217 233 Torrioli, M G, Vernacotola, S, Peruzzi, L, Tabolacci, E, Mila, M.

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