scholarly journals Explorations of Charm Factors and Development of Fishing in Southern Taiwan Based on Miryoku Engineering and the Analytic Network Process

2019 ◽  
Vol 11 (3) ◽  
pp. 737
Author(s):  
Yang Zhang ◽  
Shuo-Fang Liu ◽  
Kun Wang

Fishing is a popular leisure activity all over the world. However, due to the differences in local customs and cultures, fishing shows regional differences. This study aims to explore the charm of fishing in Southern Taiwan. In this study, the Miryoku engineering method was used to analyze and determine the charm characteristics of fishing in Southern Taiwan and draw the EGM evaluation structure chart. Thereafter, with the analytic network process method, the evaluation model was established in order to calculate the weight and ranking of each charm item. Then the weights of the 35 items in the summit, middle and bottom levels were obtained. The analysis results showed that fishing in Southern Taiwan was similar to that in other parts of the world, but the charm factors of fishing in Southern Taiwan had its relaxation and leisure characteristics. According to the analysis results of the charm factors of fishing, we discussed the future development direction of fishing industry based on the charm characteristics of fishing in Southern Taiwan.

2021 ◽  
Vol 13 (10) ◽  
pp. 5511
Author(s):  
Delu Wang ◽  
Yadong Wang

Sudden environmental pollution accidents (SEPAs) in small towns are characterized by high uncertainty, complex evolution, and fast spread speed, and they cause serious harm to a wide geographic range. Thus, SEPAs greatly challenge the emergency management systems of enterprises and governments. Therefore, improving the emergency capacity of small towns (ECST) to withstand SEPAs deserves more attention. In this study, the evolution mechanism of SEPAs is systematically analyzed, revealing the interactions among various situational elements in the SEPA occurrence process. Then, an evaluation index system of the ECST response to SEPAs is constructed based on four dimensions: monitoring and early warning capacity, preparedness and mitigation capacity, response, and recovery capacity. The system includes 68 indicators and covers the key stages of the SEPA life cycle. Finally, an evaluation model of the ECST to SEPAs is proposed based on the analytic network process method, and the small town of Jiangyin City is selected as a case study for empirical evaluation. The proposed evaluation model considers the interactions and interdependent feedback between indexes, effectively improving the accuracy and scientific nature of the evaluation results. Thus, this model provides a solid decision-making reference for governments and a quantitative theoretical basis for the formulation of measures targeted at SEPAs.


Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph H.K. Lai ◽  
Huiying (Cynthia) Hou ◽  
David J. Edwards ◽  
P.L. Yuen

Purpose This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.


2020 ◽  
Vol 12 ◽  
pp. 184797901989931 ◽  
Author(s):  
Soontorn Lancharoen ◽  
Poonpong Suksawang ◽  
Thanakorn Naenna

This study contributes to the promotion of healthcare information integration and readiness assessment of the factors impacted by quality improvement in hospital performance, which is beneficial for developing the healthcare industry because errors or integrated information can significantly affect the safety of patients and their confidence in the healthcare system. This research method is proposed to identify and confirm capability factors after readiness assessment with empirical testing, and the data were collected from hospitals in Thailand. An analytic network process was used as a tool for calculating and testing the readiness assessment of the integrated information results. The results show factor improvement of information integration and effects on the performance of hospitals in the healthcare industry. Three capability factors were found to have a significant impact on information integration and hospital performance. The model analysis suggests that the identified capability factors (organizational, group and individual) should be improved with regard to information integration, which is used to evaluate performance in the healthcare industry, and this risk assessment may be useful in other relevant industries.


2014 ◽  
Vol 543-547 ◽  
pp. 333-336 ◽  
Author(s):  
Amy H.I. Lee ◽  
Meng Chan Hung ◽  
W.L. Pearn ◽  
He Yau Kang

With worldwide developments stressing the security, economy, human well-beings and environmental costs of relying heavily on fossil and nuclear energy, the demand of safe renewable energy resources is expanding consistently and tremendously in recent years. With its safe and environmental characteristics, wind energy production has become one of the fastest growing renewable energy sources in the world. While new wind power capacity is being added in more places in various countries, the installation of wind turbines is an important process for long-term energy generation. In this study, an evaluation model, which incorporates multiple criteria decision making (MCDM) methods, including decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP), is developed to establish interactive relationships between criteria. Fuzzy Yager ranking method is used for deffuzification. The final ranking of the alternatives is obtained, and this can provide decision-makers for references.


Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
Prasenjit Chatterjee ◽  
Morteza Yazdani

Purpose – sustainability in industrial organizations is becoming one of the predominant concepts in the context of modern industrialization due to global warming, economic significance, and social awareness. These have prompted a huge concern toward sustainable supply chain management (SSCM) to be adopted and promoted as an innovative business model. Supplier evaluation and selection play a significant role in SSCM for taking appropriate procurement decisions. Research methodology – a hybrid MADM model based on Best Worst Method (BWM) and Combined Comprise Solution (CoCoSo) method. Findings – a case study in the steel industry is presented to demonstrate the effectiveness of the proposed approach. The results show the potentiality of the proposed model in resolving complex sustainability issues in the SCM environment. Research limitations – other weighting techniques like the analytic network process (ANP) and decision making trial and evaluation laboratory (DEMATEL) approaches can also be combined and performances can be compared. Practical implications – the proposed model can be used by the organizations to select the most appropriate suppliers who contribute to the movement of the SC towards sustainability. Originality/Value – a multi-criteria evaluation model has been proposed for solving a sustainable supplier selection problem while considering economic, environmental and social criteria simultaneously by integrating BWM-COCOSO methods


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