Knowledge-Based Design Guidance System for Cloud-Based Decision Support in the Design of Complex Engineered Systems

2021 ◽  
Vol 143 (7) ◽  
Author(s):  
Ru Wang ◽  
Jelena Milisavljevic-Syed ◽  
Lin Guo ◽  
Yu Huang ◽  
Guoxin Wang
Keyword(s):  
Decision Support ◽  
Value Chain ◽  
Industry 4.0 ◽  
Guidance System ◽  
Design Engineering ◽  
Knowledge Based ◽  
Complex Engineered Systems ◽  
Engineered Systems ◽  
Knowledge Based Design ◽  
Design Guidance

Abstract The automation and intelligence highlighted in Industry 4.0 put forward higher requirements for reasonable trade-offs between humans and machines for decision-making governance. However, in the context of Industry 4.0, the vision of decision support for design engineering is still unclear. Additionally, the corresponding methods and system architectures are lacking to support the realization of value-chain-centric complex engineered systems design lifecycles. Hence, we identify decision support demands for complex engineered systems designs in the Industry 4.0 era, representing the integrated design problems at various stages of the product value chain. As a response, in this paper, the architecture of a Knowledge-Based Design Guidance System (KBDGS) for cloud-based decision support (CBDS) is presented that highlights the integrated management of complexity, uncertainty, and knowledge in designing decision workflows, as well as systematic design guidance to find satisfying solutions with the iterative process “formulation-refinement-exploration-improvement” (FREI). The KBDGS facilitates diverse multi-stakeholder collaborative decisions in end-to-end cloud services. Finally, two design case studies are conducted to illustrate the proposed work and the efficacy of the developed KBDGS. The contribution of this paper is to provide design guidance to facilitate knowledge discovery, capturing, and reuse in the context of decision-centric digital design, thus improving the efficiency and effectiveness of decision-making, as well as the evolution of decision support in the field of design engineering for the age of Industry 4.0 innovation paradigm.

A process knowledge representation approach for decision support in design of complex engineered systems

2021 ◽  
Vol 48 ◽  
pp. 101257
Author(s):  
Ru Wang ◽  
Anand Balu Nellippallil ◽  
Guoxin Wang ◽  
Yan Yan ◽  
Janet K. Allen ◽  
...  
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Process Knowledge ◽  
Complex Engineered Systems ◽  
Engineered Systems

Rave: A Computational Framework to Facilitate Research in Design Decision Support

2012 ◽  
Vol 12 (2) ◽  
Author(s):  
Matthew J. Daskilewicz ◽  
Brian J. German
Keyword(s):  
Decision Support ◽  
Wide Spectrum ◽  
Problem Formulation ◽  
Design Decision ◽  
Computational Framework ◽  
Complex Engineered Systems ◽  
Research Platform ◽  
Engineered Systems ◽  
Support Methods ◽  
Design Decision Support

The cognitive challenges in the design of complex engineered systems include the scale and scope of decision problems, nonlinearity of the trade space, subjectivity of the problem formulation, and the need for rapid decision making. These challenges have motivated an active area of research in design decision-support methods and the development of commercial and openly available design frameworks. Although these frameworks are extremely capable, most are limiting as a basis for research relating to design decision support because they offer little user flexibility for incorporating and evaluating new features or techniques. This paper describes Rave (www.rave.gatech.edu), a computational framework designed specifically as a research platform for design decision-support methods. Rave has been structured to be flexible and adaptable, handle data with systematic data structures and descriptive metadata, facilitate a wide spectrum of visualization types, provide features to enable user interactivity and linking of graphics, and incorporate surrogate modeling and optimization as enabling capabilities. This framework is envisioned to provide the research and industrial communities an easily expandable and customizable baseline capability to facilitate investigation of further design decision-support advancements.

Ontology-Based Representation of Design Decision Hierarchies

2016 ◽  
Author(s):  
Zhenjun Ming ◽  
Yan Yan ◽  
Guoxin Wang ◽  
Jitesh H. Panchal ◽  
Chung Hyun Goh ◽  
...  
Keyword(s):  
Decision Support ◽  
Engineering Design ◽  
Building Blocks ◽  
Design Decision ◽  
Information Flows ◽  
Knowledge Modeling ◽  
Frame Design ◽  
Complex Engineered Systems ◽  
Portal Frame ◽  
Engineered Systems

It is efficacious to capture and represent the knowledge for decision support in engineering design. Ontology is a promising knowledge modeling scheme in the engineering domain. In this paper, an ontology is proposed for capturing, representing and documenting the knowledge related to hierarchical decisions in the design of complex engineered systems. The ontology is developed based on the coupled Decision Support Problem (DSP) construct, taking into consideration the requirements for a computational model that represents a decision hierarchy. Key to the ontology is the concept of two classes, namely, Process which represents the basic hierarchy building blocks where the DSPs are embedded, and Interface which represents the DSP information flows that link different Processes to a hierarchy. The efficacy of the ontology is demonstrated using a portal frame design example.

An Intelligent Computer-Assisted Instruction System Designed for Rural Health Workers in Developing Countries

1992 ◽  
Vol 31 (03) ◽  
pp. 193-203 ◽  
Author(s):  
B. Auvert ◽  
V. Gilbos ◽  
F. Andrianiriana ◽  
W. E. Bertrand ◽  
X. Emmanuelli ◽  
...  
Keyword(s):  
Developing Countries ◽  
Decision Support ◽  
Rural Health ◽  
Health Workers ◽  
Computer Assisted Instruction ◽  
Computer Assisted ◽  
Instruction System ◽  
Knowledge Based ◽  
Assisted Instruction ◽  
Intelligent Computer

Abstract:This paper describes an intelligent computer-assisted instruction system that was designed for rural health workers in developing countries. This system, called Consult-EAO, includes an expert module and a coaching module. The expert module, which is derived from the knowledge-based decision support system Tropicaid, covers most of medical practice in developing countries. It allows for the creation of outpatient simulations without the help of a teacher. The student may practice his knowledge by solving problems with these simulations. The system gives some initial facts and controls the simulation during the session by guiding the student toward the most efficient decisions. All student answers are analyzed and, if necessary, criticized. The messages are adapted to the situation due to the pedagogical rules of the coaching module. This system runs on PC-compatible computer.

An Integrated Approach for a Knowledge-based Clinical Workstation: Architecture and Experience

1998 ◽  
Vol 37 (01) ◽  
pp. 16-25 ◽  
Author(s):  
P. Ringleb ◽  
T. Steiner ◽  
P. Knaup ◽  
W. Hacke ◽  
R. Haux ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Patient Care ◽  
Hospital Information Systems ◽  
Medical Decision ◽  
Daily Routine ◽  
Functional Requirements ◽  
Support Functions ◽  
Knowledge Based ◽  
Clinical Workstation

Abstract:Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.

THE VALUE CHAIN OF COMPETENCY MODEL FOR VIETNAMESE EDUCATIONAL MANAGERS IN THE INDUSTRY 4.0 REVOLUTION ERA

2018 ◽  
Author(s):  
Le Thi My Hanh ◽  
Luis Alfaro ◽  
Tran Phuong Thao
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Global Economy ◽  
Value Added ◽  
Chain Model ◽  
Individual Level ◽  
The Social ◽  
Comprehensive Development ◽  
Model Of Competency ◽  
Personal Competencies

This world is constantly changing and rapidly moving,-particular in the Industry 4.0 revolution, people must change to follow and keeping with this new trend. Education is the human foundation toward the “Truth - Good - Beautiful”, and comprehensive development of personal competencies as knowledge, skills and behaviors. A nation, such as Vietnam, if they want to integrate into global economy and affirming their position, they will need the “Talented - Virtuous” human resource who could meet the high demand of society. The purpose of this study was to propose a model of competency value chain at individual level for the educational managers, analyzing some factors of this value chain model and how to apply to Vietnamese education system in the fourth Industry era. The authors wanted to focus on the social value added that the educational managers’competency could bring as the result of this research.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

Sign in / Sign up

Export Citation Format

Share Document