By Stewart Robinson, Roger Brooks, Kathy Kotiadis, Durk-Jouke Van Der Zee
Bringing jointly a global crew of researchers focused on army, enterprise, and wellbeing and fitness modeling and simulation, Conceptual Modeling for Discrete-Event Simulation provides a entire view of the present state-of-the-art within the box. The e-book addresses a number of matters, together with: what's a conceptual version? How is conceptual modeling played regularly and in particular modeling domain names? what's the position of demonstrated techniques in conceptual modeling? all the book’s six components specializes in a distinct element of conceptual modeling for simulation. the 1st part discusses the aim and specifications of a conceptual version. the following set of chapters offers frameworks and instruments for conceptual modeling. The publication then describes using smooth structures technique for version structuring in addition to the appliance of software program engineering equipment and instruments for version specification. After illustrating how conceptual modeling is followed within the army and semiconductor production, the e-book concludes with a dialogue on destiny learn instructions. This quantity bargains a large, multifaceted account of the sector by way of featuring assorted views on what conceptual modeling involves. It additionally presents a foundation upon which those views could be in comparison.
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Additional resources for Conceptual Modeling for Discrete-Event Simulation
Element 5 relates to the process of verification and so is concerned with errors occurring in the model construction step. , to fully verify it) and so the model may contain errors (Gass 1983, Tobias 1991). The probability of the model containing a particular error is a product of the probability of the initial model containing the error, which partly depends upon the choice of model (as well as the quality of the model building), and the conditional probability of the error not being discovered in the verification process, which also partly depends upon the choice of model (as well as the quality of the verification process).
Most of the metrics are based on counting the occurrence of particular items in the code, such as the number of decision points or just the number of lines of code. An alternative approach developed by Henry and Kafura (1981) is to identify the flows of information between separate program procedures and to incorporate the number of different flows into the metric.
Soft with a hard centre: Discrete-event simulation in facilitation. Journal of the operational research society 52 (8): 905–915. Robinson, S. 2002. Modes of simulation practice: Approaches to business and military simulation. Simulation practice and theory 10: 513–523. Robinson, S. 2004. Simulation: The Practice of Model Development and Use. Chichester, UK: Wiley. Robinson, S. 2005. Distributed simulation and simulation practice. Simulation: Transactions of the society for modeling and computer simulation 81 (1): 5–13.