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Published in Cornelius Leondes, Optimization Methods for Manufacturing, 2019
Peter Heimann, Bernhard Westfechtel
More specifically, the product management model allows to differentiate between the following aspects of consistency: Internal consistency refers to the local consistency of a version. Internal consistency does not take relationships to other versions into account. For example, a version of an NC program is denoted as consistent if it consists of legal statements of the NC programming language.External consistency refers to the consistency of a dependent version with respect to a certain master. For example, a version of an NC program is consistent with a version of a CAD design if it conforms to the geometrical data specified in the design.Finally, component consistency refers to the consistency of a version component with respect to a certain configuration version. Component consistency implies that the corresponding version is internally consistent, and that it is externally consistent with all master components.
What Is BIM?
Published in Jonathan Ingram, Understanding BIM, 2020
An important part of BIM is that the component parts can self-check and self-design. These benefits allow details, even complete parts of buildings, to be designed automatically. Figure 115 and Figure 117 show the core of a building modelled as a complex parametric and a complete stadium as a single parametric. Building Code checking and local consistency can be built into such objects. In order to build such information into a component, one must go beyond the graphical construction and use either a language or an external system to graphically generate the complex object. Depending upon requirement a number of different systems exist to assist with this, including Rhino, Grasshopper and others.
A Framework for Distributed
Published in David L. Hall, Chee-Yee Chong, James Llinas, Martin Liggins, Distributed Data Fusion for Network-Centric Operations, 2013
It is imperative that a cluster potential agrees with its neighboring separator sets on the variables in common, up to marginalization. This imperative is formalized by the concept of local consistency. A junction tree is locally consistent if, for each cluster C and neighboring separator set S, the following holds: () ∑C\SϕC=ϕS
Parallel machine scheduling with tool loading: a constraint programming approach
Published in International Journal of Production Research, 2018
Burak Gökgür, Brahim Hnich, Selin Özpeynirci
A solution to a CSP is an assignment of values to the variables satisfying the constraints. To find such solutions, constraint solvers often use tree search algorithms that construct partial assignments and enforce a local consistency, such as generalised arc consistency, to prune the search space. Enforcing a local consistency is traditionally called constraint propagation. One of the most commonly used local consistencies is generalised arc consistency. A constraint c is generalised arc consistent (GAC), if, when a variable in the scope of C is assigned any value in its domain, there exists an assignment to the other variables in C such that C is satisfied (Mohr and Masini 1988). This satisfying assignment is called support for the value. On binary constraints (those involving just two variables), generalised arc consistency is called arc consistency (AC). Generalised arc consistency is established on a constraint c by removing elements from the domains of variables in vars(c) until the GAC property holds.