TOWARDS A DECISION SUPPORT TOOL FOR 3D VISUALISATION: APPLICATION TO SELECTIVITY PURPOSE OF SINGLE OBJECT IN A 3D CITY SCENE

This paper deals with the establishment of a comprehensive methodological framework that defines 3D visualisation rules and its application in a decision support tool. Whilst the use of 3D models grows in many application fields, their visualisation remains challenging from the point of view of mapping and rendering aspects to be applied to suitability support the decision making process. Indeed, there exists a great number of 3D visualisation techniques but as far as we know, a decision support tool that facilitates the production of an efficient 3D visualisation is still missing. This is why a comprehensive methodological framework is proposed in order to build decision tables for specific data, tasks and contexts. Based on the second-order logic formalism, we define a set of functions and propositions among and between two collections of entities: on one hand static retinal variables (hue, size, shape…) and 3D environment parameters (directional lighting, shadow, haze…) and on the other hand their effect(s) regarding specific visual tasks. It enables to define 3D visualisation rules according to four categories: consequence, compatibility, potential incompatibility and incompatibility. In this paper, the application of the methodological framework is demonstrated for an urban visualisation at high density considering a specific set of entities. On the basis of our analysis and the results of many studies conducted in the 3D semiotics, which refers to the study of symbols and how they relay information, the truth values of propositions are determined. 3D visualisation rules are then extracted for the considered context and set of entities and are presented into a decision table with a colour coding. Finally, the decision table is implemented into a plugin developed with three.js, a cross-browser JavaScript library. The plugin consists of a sidebar and warning windows that help the designer in the use of a set of static retinal variables and 3D environment parameters.

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Computer Aided Facility Management (CAFM) as a New Branch of Decision Making Support Technologies in the Field of Facility Management

Encyclopedia of Decision Making and Decision Support Technologies ◽

10.4018/978-1-59904-843-7.ch010 ◽

2011 ◽

pp. 84-92 ◽

Cited By ~ 1

Author(s):

Thomas Madritsch ◽

Michael May ◽

Herwig Ostermann ◽

Roland Staudinger

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support Tool ◽

Facility Management ◽

Point Of View ◽

Information And Communications Technology ◽

Industrialized Countries ◽

Support Tool ◽

Computer Aided ◽

Recent Developments

Nowadays facility management (FM) and real estate activities contribute to about 5-10% of the gross domestic product (GDP) of advanced industrialized countries. For example the total value of FM activity including support services is about 8.2% UK GDP (Harris, 2002). Computer aided facility management (CAFM) software is a new class of information and communications technology (ICT) tools to support management in the preparation of relevant data in the decision making process especially in the area of illustration, evaluation, and control of relevant FM structures and processes. Recently, CAFM tools are developing from simple information systems to multifunctional decision support systems (DSSs) for private as well as public organizations. Until now however, little attention has been given to this relevant change in business and academic communities. At the same time numerous software systems with various systematic approaches, functions, and varying success have been established on the market. Despite the multitude of suppliers and users in the different branches uncertainty concerning the procedures and achievable effects still prevails. This is closely related to the lack of well-documented, transparent, and successful case studies. In addition, little is known about how CAFM can be implemented successfully and the factors leading to its sustainable success. From an economic point of view it is very important to support this process in order to avoid wrong decisions and unnecessary investment. In particular, implementation strategies and formulae for success are of great interest (May, 2002). The purpose of this chapter is to describe the relevance of CAFM as a decision support tool in the field of FM. The authors will illustrate the recent developments and market demands of FM and CAFM. The main part will provide an overview on the basic concept as well as building management, for example, CAFM and give detailed insight into the topic and how CAFM may serve as a DSS from an organizational perspective. The next part will introduce some examples of good practices. The chapter closes with an overview of future developments, trends, and research opportunities of CAFM as a decision support tool.

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A Holistic Decision Support Tool for Facade Design

Buildings ◽

10.3390/buildings9080186 ◽

2019 ◽

Vol 9 (8) ◽

pp. 186 ◽

Cited By ~ 2

Author(s):

Kültür ◽

Türkeri ◽

Knaack

Keyword(s):

Decision Support ◽

Decision Support Tool ◽

Well Being ◽

Point Of View ◽

Design Parameters ◽

Extensive Literature ◽

Design Decision ◽

Functional Requirements ◽

Support Tool ◽

Acoustic Comfort

This paper presents a holistic decision support tool developed for use during the early stages of facade design. The tool is based on the interdependent relationships between facade performance, facade parameters, and conditions (environmental and spatial). It assumes that a decision maker has the ability to enhance the performance of a facade by making proper decisions on the design parameters in line with the conditions. However, since facade performance has various aspects (sometimes conflicting) to be considered at once, it is hard to predict the impacts of decisions on the overall performance. A single design decision may increase the performance in one aspect while decreasing it in other aspects. The tool aims to function as a guide to decision makers by indicating the impacts of design decisions on different functional aspects of facade performance from a holistic point of view. Functional requirements included within the tool are safety requirements such as structural stability and fire protection, health-related requirements such as weather protection (protection against water, air, and moisture), and requirements related to the well-being of the users such as thermal, visual, and acoustic comfort. Information provided in the tool is based upon an extensive literature review and structured as an Excel spreadsheet.

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