A distributed multi-model-based Management Information System for simulation and decision-making on construction projects

“…[41] Learning [42] Sharing [43,44] Managing Construction [45][46][47][48][49][50][51] Estimating Cost Estimation [52] Integrating Interoperability [53] Managing Plant Construction [54] Collaborating Process Management [55] Exchanging Project Management [56][57][58][59] Managing [60] Sharing [10,61] Scheduling Project Schedule [62][63][64][65][66][67] Checking Regulation [68,69] Appraising Risk Management [70,71] Managing Site Management [72] Controlling Spatial Relation [73] Modelling Architectural Reconstruction Existing Building [74] Optimizing Energy Consumption Facility Management [75] Simulating Hydrodynamic Processes [76][77][78] Collaborating Interoperability [79,80] Collaborating Knowledge Representation [81] Sharing [82][83][84] Collaborating Interoperability General Construction [85]…”

Section: Construction Project Managementmentioning

confidence: 99%

Considering the Feasibility of Semantic Model Design in the Built-Environment

Grzybek

Gulliver

et al. 2014

Buildings

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Building Information Modeling (BIM) is the process of structuring, capturing, creating, and managing a digital representation of physical and/or functional characteristics of a built space [1]. Current BIM has limited ability to represent dynamic semantics, social information, often failing to consider building activity, behavior and context; thus limiting integration with intelligent, built-environment management systems. Research, such as the development of Semantic Exchange Modules, and/or the linking of IFC with semantic web structures, demonstrates the need for building models to better support complex semantic functionality. To implement model semantics effectively, however, it is critical that model designers consider semantic information constructs. This paper discusses semantic models with relation to determining the most suitable information structure. We demonstrate how semantic rigidity can lead to significant long-term problems that can contribute to model failure. A sufficiently detailed feasibility study is advised to maximize the value from the semantic model. In addition we propose a set of questions, to be used during a model's feasibility study, and guidelines to help assess the most suitable method for managing semantics in a built environment.

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“…Furthermore, was also developed methodologies to plan automatically the construction site with genetic algorithm for optimization of the safer paths in the site, based on BIM models (S. S. Kumar and J. C. P. Cheng, 2015). In addition, was explored other fields of artificial intelligence like ontology (R.J. Scherer and S. E. Schapke, 2011) and semantic web technology (L. Y. Ding et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

BIM and Agent-Based Model Integration for Construction Management Optimization

Rossini¹,

Novembri²,

Fioravanti³

2017

25th Annual Conference of the International Group for Lean Construction

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The current necessity of manage complexity in the field of building process management push to provide process' figures of construction methodologies and tools capable to support them in a proficient way. With the scope to define in advance the places occupied by workers to accomplish a task, is defined a methodology and related tools to integrate Building Information Modeling (BIM) with an Agent-Based simulation of workers activities. The goal is to know at early project phases where it is possible to work in a more effective and safer way, how it is possible to be more efficient placing in the same working space different working phases and when it is possible to allow the continuity of building operations. The outcome of the system is predicting how much resources are involved in a project, identifying and minimizing wasted time.

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A distributed multi-model-based Management Information System for simulation and decision-making on construction projects

Cited by 96 publications

References 15 publications

Development and Implementation of Students' Competition Simulation Platform on Module Design

Development and Implementation of Students' Competition Simulation Platform on Module Design

Considering the Feasibility of Semantic Model Design in the Built-Environment

BIM and Agent-Based Model Integration for Construction Management Optimization

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