scholarly journals Research on Optimization of VR Welding Course Development with ANP and Satisfaction Evaluation

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1673
Author(s):  
Chih-chao Chung ◽  
Chun-Chun Tung ◽  
Shi-Jer Lou
Keyword(s):  
First Grade ◽  
Analytic Network Process ◽  
Course Development ◽  
Relative Importance ◽  
Experimental Teaching ◽  
Fuzzy Delphi ◽  
Network Process ◽  
Satisfaction Evaluation ◽  
Group Interviews ◽  
Efficient Learning

The purpose of this study is to explore the ability indices of VR (virtual reality) technology when it is applied to assist the teaching of a welding practice course, develop a VR welding course as the basis of course planning and teaching design, and implement experimental teaching to verify its effectiveness. On the basis of a literature review and focus group interviews, initial ability indices of a VR welding course were proposed. Then, 15 experts from VR- and welding-related specialties were invited to form a consulting team to determine “the ability indices of the VR welding course” according to the results of a Fuzzy Delphi expert questionnaire. Moreover, the results of an ANP (Analytic Network Process) expert questionnaire were used to understand the relative importance of the ability indices of the VR welding course, as well as the relative feasibility of VR-assisted welding teaching, in order to develop a “VR welding course”, in which 34 first-grade students of the welding practice course were taken as the research objects during the implementation of experimental teaching. The qualitative research and analysis results are as follows: (1) the VR welding course includes 8 ability indices and 30 evaluation indices; (2) the item with the highest feasibility in VR-assisted welding teaching is “welding construction”, followed by “map reading and drawing”; (3) best feasibility of VR technology “Interaction” in assisting welding teaching; (4) the relative importance of the ability indices of the VR welding course is the greatest for “welding construction”, followed by “welding inspection”; (5) the VR welding course students express significant positive responses to the learning of ability indices and ability demonstration; (6) the majority of students express significant positive learning satisfaction with VR-assisted welding course teaching. This study puts forward a set of rigorous models for the construction of ability indices for a VR course and course development. It can provide a reference for introducing VR-assisted teaching to related welding courses that are run by universities of science and technology in Taiwan. Furthermore, such VR courses can offer students a safe, diversified, and efficient learning environment.

Application of Mixed Multicriteria Decision-making Methods to Determine the Optimal Development Industries for the Taoyuan Aerotropolis, Taiwan

2019 ◽  
Vol 43 (4) ◽  
pp. 370-396
Author(s):  
Chih-Yuan Chang ◽  
Yin-Hao Chiu ◽  
Jung-Wei Wang
Keyword(s):  
Decision Making ◽  
Industrial Development ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Aviation Industry ◽  
Multicriteria Decision ◽  
Fuzzy Delphi ◽  
Network Process ◽  
The Government ◽  
Satisfaction Evaluation

The study explored both the development policy of regional industry and the aerotropolis as an empirical object. In planning an aerotropolis, governments should account for both regional and industrial characteristics to establish appropriate policies for promoting industrial development that maximizes the benefits of invested resources. In this study, a composite multicriteria decision-making method was used to filter the optimal aerotropolis industry evaluation index through the fuzzy Delphi method. Subsequently, the decision-making trial and evaluation laboratory–based analytic network process was used to obtain the influence relations and weights between the indexes to establish an optimal industry plan. Satisfaction evaluation was then used to calculate the performance values of the programs and discover the optimal industries for the city to provide the government with a policy reference. This study found that the technical environment, product and industry networks, and basic environment were the most important aspects of the Taoyuan Aerotropolis. Aviation linkage and logistics services had the highest performance among industries, identifying them as the most suitable supplementary developments to the aviation industry.

scholarly journals A Warehouse Social and Environmental Performance Metrics Framework

2020 ◽  
Vol 32 (4) ◽  
pp. 513-526
Author(s):  
Patricija Bajec ◽  
Danijela Tuljak-Suban ◽  
Ivona Bajor
Keyword(s):  
Supply Chain ◽  
Performance Metrics ◽  
Social Performance ◽  
Methodological Approach ◽  
Analytic Network Process ◽  
Performance Measurement System ◽  
Analytic Hierarchy ◽  
Fuzzy Delphi ◽  
Network Process ◽  
Social And Environmental Performance

To improve the supply chain performance in all three aspects of sustainability (social, economic, and environmental), a comprehensive sustainable performance measurement system that captures all the supply chain partners’ efforts and commitments is required. Warehouse, as the second largest logistics source of environmental pollution in the supply chain has been almost completely overlooked and ignored in the past studies. To fill this gap, a warehouse performance metrics framework for environmental and social performance measures was proposed using a novel Fuzzy Delphi and Best-worst methodological approach. The method is less time-consuming than the Analytic Hierarchy Process or Analytic Network Process, it does not address whether criteria are dependent or independent, requires fewer comparisons of criteria, but still produces reliable and credible results. The presented framework consists of 32 equally formulated environmental and social performance indicators, including formulas and measurement units. The 14 most important indicators are ranked according to the requirements of different stakeholders.

River Landscape Health Diagnosis - Frame and Method

2013 ◽  
Vol 779-780 ◽  
pp. 1328-1331
Author(s):  
Che Yu Hsu ◽  
Sheng Jung Ou
Keyword(s):  
Health Assessment ◽  
Analytic Network Process ◽  
Indicator System ◽  
River Landscape ◽  
Assessment Indicator ◽  
Fuzzy Delphi ◽  
Depth Interview ◽  
Network Process ◽  
Physical And Chemical ◽  
Health Diagnosis

The paper applied the concepts of Landscape health from the literature review with integration in depth-interview, using the Fuzzy Delphi, Fuzzy Analytic Network Process to develop the River Landscape Health Assessment Indicator System (RLHAIS). The assessment indicators system includes the indicator in 3 aspects, that is, physical and chemical environment indicators, landscape change indicators, ecological environment indicators, and 14 indexes, which were then applied to the RLHAIS to analyze the current landscape health for the Dong-shan River upstream in Yilan. The result showed that the score of Dong-shan River upstream: in 2009 was 0.70881, in 2010 was 0.66235, and in 2011 was 0.68694, implying that the healthy level nearly fell onto the "Degraded" state.

scholarly journals A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256999
Author(s):  
Wafa’ H. AlAlaween ◽  
Abdallah H. AlAlawin ◽  
Mahdi Mahfouf ◽  
Omar H. Abdallah ◽  
‎Mohammad A. Shbool ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Analytic Network Process ◽  
Pairwise Comparisons ◽  
Competitive Advantages ◽  
Relative Importance ◽  
Network Process ◽  
New Framework

A novel way of integrating the genetic algorithm (GA) and the analytic network process (ANP) is presented in this paper in order to develop a new warehouse assessment scheme, which is developed through various stages. First, we define the main criteria that influence a warehouse performance. The proposed algorithm that integrates the GA with the ANP is then utilized to determine the relative importance values of the defined criteria and sub-criteria by considering the interrelationships among them, and assign strength values for such interrelationships. Such an algorithm is also employed to linguistically present the relative importance and the strength of the interrelationships in a way that can circumvent the use of pairwise comparisons. Finally, the audit checklist that consists of questions related to the criteria is integrated with the proposed algorithm for the development of the warehouse assessment scheme. Validated on 45 warehouses, the proposed scheme has been shown to be able to identify the warehouse competitive advantages and the areas where more improvements can be achieved.

scholarly journals An analysis of the critical factors that affect the competitive advantages and developmental strategies of leisure farms in Taiwan

2012 ◽  
Vol 58 (No. 10) ◽  
pp. 467-481 ◽  
Author(s):  
M.-S. Lee
Keyword(s):  
Service Quality ◽  
Value Chain ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Critical Factors ◽  
Ecological Resources ◽  
Fuzzy Delphi ◽  
Network Process ◽  
Fast Development ◽  
Development And Utilization

Leisure farms in Taiwan are currently undergoing a fast development. The utilization of distinctive strategies to create successful operational competitiveness is becoming the guiding policy of enterprises for their future development. This study adopts the value chain perspective to develop criteria for different dimensions and to develop a strategic hierarchical structure by using the fuzzy Delphi method. Through the FANP (Fuzzy Analytic Network Process) method, this study discovers the critical factors influencing the competitive advantages of leisure farms in Taiwan: (1) the uniqueness of the landscape and ecological resources, (2) the richness of agricultural resources, (3) the attractiveness of the landscape and ecological resources, (4) service quality, (5) the convenience of the accommodation, (6) the provision of education and guiding services, and the like. Finally, according to the research results of the study, the authors make suggestions on the corresponding developmental strategies of leisure farms, including (1) creating the characteristics of a leisure farm through the development and utilization of the farm’s internal and surrounding environmental resources and (2) perceiving the tourists’ needs and improving the service quality. With the suggestions made and the reference data concluded in this study, the authors expect to enhance effectively the current competitive advantages of leisure farms.  

Innovation Strategy Development and Facilitation of an Integrative Process with an MCDM Framework

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sheng-Fang Chou ◽  
Jeou-Shyan Horng ◽  
Chih-Hsing Liu ◽  
Jun-You Lin
Keyword(s):  
Human Capital ◽  
Absorptive Capacity ◽  
Capital Market ◽  
Entrepreneurial Orientation ◽  
Analytic Network Process ◽  
Innovation Strategy ◽  
Strategy Development ◽  
Positive Effects ◽  
Fuzzy Delphi ◽  
Network Process

Abstract Drawing on the resource-based view, we propose a model to understand the roles of human capital, market and entrepreneurial orientation, absorptive capacity and ways to improve performance with an effective innovation strategy for hospitality development. We combine the Fuzzy Delphi Method, Decision-Making Trial and Evaluation Laboratory and analytic network process to demonstrate the interactions and relations among critical criteria by using data from 20 Taiwanese restaurant entrepreneurs obtained in 2015–2017. The positive effects of human capital, market orientation, entrepreneurial orientation and absorptive capacity on innovation performance are confirmed. These findings advance resource-based scholarship and highlight the value of understanding the relationship between a restaurant’s tangible and intangible resources for hospitality development.

scholarly journals Analytic Network Process for Developing Relative Weight of Wastewater Treatment Technology Selection

2017 ◽  
Vol 11 (5) ◽  
pp. 64 ◽  
Author(s):  
Lazim Abdullah ◽  
Nurul Atiqah Abd Rahman
Keyword(s):  
Wastewater Treatment ◽  
Relative Weight ◽  
Analytic Network Process ◽  
Technology Selection ◽  
Practical Implementation ◽  
Relative Importance ◽  
Treatment Technology ◽  
Importance Weights ◽  
Network Process ◽  
The Many

Selecting the best wastewater treatment (WWT) technology requires a thorough qualitative and quantitative evaluation of multi-dependence criteria. A network based method is one of the many possible techniques that able to handle multi-dependence criteria in the selection. This paper proposes relative importance weights of alternatives in selecting the WWT technology using the analytic network process (ANP) in Terengganu Malaysia. The ANP is applied to establish the relative weights of alternatives based on criteria and sub-criteria that available in the WWT technology selection. Two faculty members attached to a public university and an engineer in Malaysian government agency were interviewed to provide evaluation within the framework of ANP. Inner dependence and outer dependence analysis of ANP are fully utilised to establish relative importance weights of alternatives. The experiment result reveals that the relative importance weights of the three alternatives are 0.3074, 0.2795 and 0.2447. The alternative ‘Composting’ has decided as the most suitable technology in WWT which provides the highest relative importance weight among all the three alternatives. The results would be a great significance for the practical implementation of the WWT technology selection.

A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations

2018 ◽  
Vol 17 (03) ◽  
pp. 911-939 ◽  
Author(s):  
Eleonora Bottani ◽  
Piera Centobelli ◽  
Teresa Murino ◽  
Ehsan Shekarian
Keyword(s):  
Sensitivity Analysis ◽  
Supplier Selection ◽  
Quality Function Deployment ◽  
Selection Criteria ◽  
Selection Process ◽  
Analytic Network Process ◽  
Relative Importance ◽  
Purchasing Decisions ◽  
Network Process

This paper presents an original integrated procedure to evaluate and select suppliers for purchasing decisions. The procedure exploits the quality function deployment approach to define the suppliers’ characteristics, coupled with the analytic network process to capture the interrelations among the selection criteria and integrated with a benefits, opportunities, costs and risks (BOCR) analysis. As such, the proposed approach is more structured than the existing methods for supplier selection; in particular, it allows simultaneously to take into account the relevant criteria for supplier selection, to capture the situation in which the decision criteria are somehow dependent on one another and to evaluate the positive and negative aspects of the selection process. By using the proposed approach, companies can derive useful information to guide their partner selection process. An extensive case study is reported to show the application of the model to a selection process of a real Italian company. The application shows that the model is effective in identifying the most suitable supplier; moreover, a detailed sensitivity analysis highlights that the results of the ranking are very robust against possible changes in the relative importance of the BOCR perspectives.

scholarly journals A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Sen-Kuei Liao ◽  
Hsiao-Yin Hsu ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Fitness Centers ◽  
Location Selection ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Network Process

Location selection is a critical problem for businesses that can determine the success of an organization. Selecting the optimal location from a pool of alternatives belongs to a multiple criteria decision making (MCDM) problem. This study employed a hybrid MCDM technique to select locations for women’s fitness centers in Taiwan. In the beginning, the fuzzy Delphi method was utilized to obtain selection criteria from interviewed senior executives. In the second stage, the decision making trial and evaluation laboratory (DEMATEL) was employed to extract interdependencies between the selection criteria within each perspective. On the basis of interdependencies between the selection criteria, the analytic network process (ANP) was used to get respective weights of each criterion. Finally, the technique for order preference by similarity to ideal solution (TOPSIS) was ranking the alternatives. To demonstrate application of the proposed model and illustrate a location selection problem, a case was conducted. The capabilities and effectiveness of the proposed model are revealed.

scholarly journals A Framework to Evaluate Community Resilience to Urban Floods: A Case Study in Three Communities

2020 ◽  
Vol 12 (4) ◽  
pp. 1521 ◽  
Author(s):  
Ming Zhong ◽  
Kairong Lin ◽  
Guoping Tang ◽  
Qian Zhang ◽  
Yang Hong ◽  
...  
Keyword(s):  
Delphi Method ◽  
Community Resilience ◽  
Analytic Network Process ◽  
Vulnerable Population ◽  
Urban Flooding ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi ◽  
Technology Improvement ◽  
Network Process ◽  
The Village

Community resilience is a key index for describing the response of human habitat systems to hazards. Evaluating and enhancing the community resilience requires indicators, identification, and quantitative measurements, especially for urban flooding management. In this study, an advanced index framework for measuring community resilience to urban flooding is proposed, integrating the fuzzy Delphi method (FDM) and the analytic network process (ANP). Seven indicators (public facilities, spatial structure of land use, flood management organizations, rescue capability, accuracy of weather forecasts, vulnerable population, and individual capability) of community resilience are identified using the fuzzy Delphi method. The indicators are classified into four dimensions, and the weights are determined by the analytic network process. This approach is applied to three different types of communities, namely, a newly built neighborhood, an ancient college, and a flood-prone village in the city of Nanning, China, using data collected from questionnaires, interviews, and field investigations. The neighborhood (with a total averaged score of 2.13) has the largest community resilience to urban flooding, followed by the college (1.8), and finally the village (0.91). Flooding management organizations play a leading role in the urban flooding resilience of the neighborhood and college, while the vulnerable population has a great impact on the community resilience of the village. Results of the strategy analysis suggest that science and technology improvement (0.543) is more important than social–economic status improvement (0.325) and built-environment improvement (0.132) for mitigating urban hazards in Nanning. The proposed framework in this study contributes to the interdisciplinary understanding of community resilience for urban flooding and is expected to be applied to sustain urban planning and flood evacuations.

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