A Virtual Reality Based Decision Support Framework for Manufacturing Simulation

2003 ◽  
Author(s):  
Amarnath Banerjee ◽  
J. Cecil
Keyword(s):  
Virtual Reality ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Enterprise Modeling ◽  
Real Time Control ◽  
Target Domain ◽  
Time Control ◽  
Decision Support Framework ◽  
Manufacturing Applications

In this paper, a virtual reality based decision support framework for manufacturing applications is discussed. The Decision Support Framework includes the use of an Enterprise Modeling Language (EML) and a Decision Support System. EML is used to create an information-oriented model of the processes and activities in a target domain, which provides a structured basis for understanding the activities and relationships in that domain. This understanding facilitates the creation of a virtual environment for manufacturing analysis. The Decision Support System is used to interface operations (process related) information in a real time control system with representations of objects in a virtual reality based environment.

Virtual reality-based decision support model for interior design and decoration of an office building

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yi-Kai Juan ◽  
Hao-Yun Chi ◽  
Hsing-Hung Chen
Keyword(s):  
Decision Making ◽  
Virtual Reality ◽  
Decision Support ◽  
Decision Support System ◽  
Interior Design ◽  
Support System ◽  
Decision Makers ◽  
Office Building ◽  
Design Decision ◽  
Content Type

Purpose The purpose of this paper is to develop a virtual reality (VR)-based and user-oriented decision support system for interior design and decoration. The four-phase decision-making process of the system is verified through a case study of an office building. Design/methodology/approach Different “spatial layouts” are presented by VR for users to decide their preference (Phase 1). According to the selected spatial layout, a “spatial scene” is constructed by VR and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is used to determine the spatial scene preference (Phase 2). Based on the binary integer programming method, the system provides the optimal preliminary solution under a limited decoration budget (Phase 3). Finally, the consistency between the overall color scheme and pattern is fine-tuned by VR in order to obtain the final solution (Phase 4). Findings The questionnaire survey results show that decision makers generally affirm the operation and application of VR, and especially recognize the advantages in the improvement of VR-based interior design feasibility, communication efficiency and design decision-making speed. The optimization of the costs and benefits enables decision makers to effectively evaluate the impact of design decisions on subsequent project implementation during the preliminary design process. Originality/value The VR-based decision support system for interior design retains the original immersive experience of VR, and offers a systematic multiple criteria decision- making and operations research optimization method, thus, providing more complete decision-making assistance. Compared with traditional design communication, it can significantly reduce cognitive differences and improve decision-making quality and speed.

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