scholarly journals The Ontology-Based Approach Supporting Holistic Energy-Tunnel Design considering Cost, Heat Flux, and System Feasibility

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Kun Meng ◽  
Chunyi Cui ◽  
Cheng Zhang ◽  
Hailong Liu
Keyword(s):  
Decision Making ◽  
Heat Flux ◽  
Collaborative Design ◽  
Domain Knowledge ◽  
Design Method ◽  
Numerical Models ◽  
Ground Source ◽  
Decision Making System ◽  
Tunnel Design ◽  
Multiple Domains

As an emerging geothermal structure, the energy tunnel has been an important part of geothermal engineering. However, the conventional methods for designing energy tunnels mostly rely on complex numerical models. Furthermore, a macrolevel multidomain collaborative design method to consider multiple areas and design indicators is unavailable. This study combined ontology and semantic Web rule language to establish the domain knowledge of energy tunnels which is an enrichment of the conventional ground source heat pump domain knowledge and develop a comprehensive decision-making tool named OntoETS for the design of energy-tunnel systems. The tool can promote the optimal design scheme with an optimal combination of multiple indexes through an analysis of the economy, heat flux, and system feasibility of the energy-tunnel system from a macroperspective by combining multiple domains. Furthermore, a case study was conducted to demonstrate the effectiveness and practicability of the developed holistic decision-making system.

Digitized Decision-Making System Research for Warehouse Planning Based on CAD

2013 ◽  
Vol 312 ◽  
pp. 810-813
Author(s):  
Hui Yao ◽  
Yan Cao
Keyword(s):  
Decision Making ◽  
Modular Design ◽  
Design Method ◽  
Construction Costs ◽  
Cad System ◽  
Planning Decisions ◽  
Functional Models ◽  
Decision Making System ◽  
Planning And Construction ◽  
Auto Cad

To the problem of decision making for the planning and construction of warehouse area, based on Auto CAD a digitized decision-making system is developed. The modular design method is utilized to build the system function model. With the interface program between the system management module and the SQL database, the functional models are connected with the database dynamically, then the user is guide to accomplish the analysis and estimates and the calculation of construction costs for various types of facilities planning and layout in warehouse area. The system interface established with DCL is easy to use and accords with industry habits. The system can be extended to form a complete and standard digitized decision-making CAD system and improve the scientific rationality of the planning decisions for warehouse area.

Deep Smarts as the Underpinnings of Dynamic Capabilities

2015 ◽  
Author(s):  
Dorothy Leonard ◽  
Michelle Barton
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Context Awareness ◽  
Domain Knowledge ◽  
Dynamic Capabilities ◽  
Organizational Capabilities ◽  
System Perspective ◽  
Decision Making System

Both ordinary and dynamic capabilities depend upon the deep smarts, i.e., business-critical, experience-based knowledge, held in the heads of an organization’s top talent. This chapter examines the links between individual and organizational capabilities and presents the theory and research on deep smarts. The six most universally found characteristics of this particular kind of expertise are: deep domain knowledge; pattern-recognition-based decision making; system perspective; context awareness; diagnostic acuity; and skilled networking. Such deep smarts, as illustrated through extensive examples of entrepreneurs, are operationalized differently in highly volatile environments than in relatively stable ones. Although deep smarts are based on experience, they are skills and abilities rather than static knowledge reservoirs. Therefore, they are particularly essential to dynamic capabilities and to innovation.

Methodical Framework of the Support and Decision-making System for the Collection and Disposal of Organic Raw Materials

2015 ◽  
Vol 1 (1) ◽  
pp. 29-34
Author(s):  
Sergei Shvorov ◽  
◽  
Dmitry Komarchuk ◽  
Peter Ohrimenko ◽  
Dmitry Chyrchenko ◽  
...  
Keyword(s):  
Decision Making ◽  
Raw Materials ◽  
Decision Making System

scholarly journals A QFD-Based Quality and Capability Design Method for Transboundary Services

2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Chao Ma ◽  
Wei Dong Liu ◽  
Zhi Ying Tu ◽  
Zhong Jie Wang ◽  
Xiao Fei Xu
Keyword(s):  
Nonlinear Programming ◽  
Quality Function Deployment ◽  
Design Method ◽  
Quality Parameters ◽  
Optimal Configuration ◽  
Two Phase ◽  
Internet Service ◽  
Fuzzy Nonlinear Programming ◽  
Nonlinear Programming Methods ◽  
Multiple Domains

The “transboundary”, an emerging phenomenon in the Internet service ecosystem, is leading to the flourishing of innovative services. A transboundary service incorporates services, resources, and technologies from multiple domains into its business to create a particular competitive advantage and unique user experiences. It is difficult to comprehensively consider all the constraints from multiple domains to precisely design the nonfunctional characteristics of transboundary services, such as quality attributes and capability attributes. We propose a two-phase quality design method for transboundary services called value quality deployment-quality capability deployment (VQD-QCD) based on quality function deployment (QFD). Given the restrictions of transboundary services, VQD-QCD translates the value expectations of multiple stakeholders into an optimal configuration for global quality parameters (GQPs), local quality parameters, and capability parameters. Details of VQD are illustrated. Considering the inherent vagueness and uncertainty of relationships between value expectations and GQPs, and among GQPs, fuzzy least absolute regression and fuzzy nonlinear programming methods are incorporated into QFD to identify the quantitative relations between value indicators and GQPs, and among GQPs, and obtain an optimal configuration scheme for GQPs. Usability of the proposed method is validated through a case study on the “DiDi mobile transportation service”, which is a representative transboundary service in China. Compared with the current method, which is inaccurate and inefficient because its translation between value expectations and relevant quality and capability parameters is artificial and subjective, the proposed method integrates fuzzy least absolute regression and fuzzy nonlinear programming methods into QFD, which facilitate transboundary service designers to precisely and efficiently design the quality and capability characteristics of innovative services in the manner of semiautomatisation, which promotes the innovative design of transboundary services.

scholarly journals Perceptions of midwives on shortage and retention of staff at a public hospital in Tshwane District

Curationis ◽  
2019 ◽  
Vol 42 (1) ◽  
Author(s):  
Mosehle S. Matlala ◽  
Thanyani G. Lumadi
Keyword(s):  
Decision Making ◽  
Design Method ◽  
Quality Care ◽  
Sampling Technique ◽  
The Status ◽  
Generic Qualitative ◽  
Tertiary Hospitals ◽  
Decision Making Processes ◽  
Group Interviews ◽  
The Impact

Background: Midwifery is the backbone of women and child healthcare. The shortage of staff in maternity units is a crisis faced by many countries worldwide, including South Africa.Objectives: This study aims to explore the perceptions of midwives on the shortage and retention of staff at a public institution.Method: The study was conducted at one of the tertiary hospitals in Tshwane District, Gauteng Province. A total of 11 midwives were interviewed through face-to-face and focus group interviews. An explorative, descriptive generic qualitative design method was followed, and a non-probability, purposive sampling technique was used. Thematic coding analysis was followed for analysing data.Results: The impact of shortage of midwives was reported to be directly related to poor provision of quality care as a result of increased workload, leading to low morale and burnout. The compromised autonomy of midwives in the high obstetrics dependency units devalues the status of midwives.Conclusion: Midwives are passionate about their job, despite the hurdles related to their day-to-day work environment. They are demoralised by chronic shortage of staff and feel overworked. Staff involvement in decision-making processes is a motivational factor for midwives to stay in the profession. The midwives need to be in the centre of the decision-making processes related to their profession. The revision of the scope of practice and classification of midwifery profession away from general nursing complex by the South African Nursing Council (SANC) could place midwifery in its rightful status.

Dynamic Decision Making System for Public Transport Routes

2016 ◽  
Vol 5 (3) ◽  
pp. 47-70 ◽  
Author(s):  
Maria Spichkova ◽  
Margaret Hamilton
Keyword(s):  
Decision Making ◽  
Information System ◽  
Public Transport ◽  
User Satisfaction ◽  
Spatial Planning ◽  
Formal Model ◽  
Dynamic Decision Making ◽  
Sustainable Cities ◽  
Decision Making System ◽  
Green Software

This paper presents a formal model of a decision making system for public transport routes. The approach focuses on (1) environmental and societal sustainability aspects of green software engineering, (2) spatial planning and optimisation for smarter sustainable cities, and (3) user satisfaction with this information system for the various contexts of passenger, driver and overall system view.

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