scholarly journals A Combination of DEMATEL and BWM-Based ANP Methods for Exploring the Green Building Rating System in Taiwan

2020 ◽  
Vol 12 (8) ◽  
pp. 3216 ◽  
Author(s):  
Perry C. Y. Liu ◽  
Huai-Wei Lo ◽  
James J. H. Liou

Green buildings are a crucial environmentally friendly component for sustainable human habitation and for the preservation of a healthy ecosystem. This study proposes a novel hybrid model to explore the influential relationship of various indicators and their importance for a green building evaluation system. First, a green building index system is established based on a review of recent literature on green building evaluation systems. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is utilized to determine the influential relationship among the criteria. Finally, a novel best worst method (BWM)-based analytic network process (ANP) model is applied to determine the influential weight of the criteria. The result indicated that the top five ranked criteria are all classified within the two dimensions of waste reduction and energy saving. An empirical case study of an example in Taiwan is carried out to demonstrate the effectiveness of the proposed model. Management implications are also provided.

2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.


2019 ◽  
Vol 11 (20) ◽  
pp. 5668 ◽  
Author(s):  
Pan ◽  
Yang ◽  
Han ◽  
Lu ◽  
Liu

Evaluation of land-use suitability can prevent problems, such as environmental disruption, wastage of resources, and ecological disruption, when unsuitable tourism-based exploration is undertaken in an area. This study summarizes a novel concept and proposes the idea of wellness tourism, which constitutes health preservation, sports and recovery, medical healing, and aged nursing, integrated with Chinese culture. A spatial suitability evaluation system for wellness tourism was developed in a mountain area via the integration of the analytic network process-Delphi. As wellness tourism activities diversified, land suitability was assigned to four kinds of wellness tourism activities, while considering their unique requirements. Comparative analysis and five-degree suitable maps of four kinds of activities revealed that Yining City and its peripheral localities have the potential of functioning as a comprehensive and national wellness tourist destination. The counties of Horgos, Huocheng, Qapqal, Zhaosu, Tekes, Tokkuztara, and Narat should make full use of their strengths, as they have the advantage of catering to different wellness tourism activities. This paper discusses some conceptual aspects of wellness tourism, provides an example for the selection of potential areas for wellness tourism in the mountainous regions of China, and provides baseline information that can support the development of wellness tourism.


Author(s):  
Mahmoud Zamani ◽  
Changiz Valmohammadi

This article aims to develop a novel model for ranking the parameters that influence the building of trust on online shopping in the context of Iran. A multi-criteria decision making (MCDM) model based on a fuzzy analytic network process (ANP) method is developed to systematically clarify the interdependent relationships among the evaluation criteria of trust and then, scientifically evaluate the feasible parameters and rank the priorities of the trust. The results of the proposed model reveal that under the characteristics of trustor (TR) sub-factors, the most important indicator which can affect the trust is propensity to trust. Furthermore, regarding the characteristics of trustee (TE) sub-factors, data quality with a priority of 0.064 is the most important indicator. Also, in the environmental factors (EN) sub-factors, promotions and advertising with a weight of 0.151 is the most significant indicator.


2015 ◽  
Vol 27 (1) ◽  
pp. 122-134 ◽  
Author(s):  
Hsiu Yuan Hu ◽  
Shao-I Chiu ◽  
Tieh-Min Yen ◽  
Ching-Chan Cheng

Purpose – The purpose of this paper is to establish an integrated model of Analytic Network Process (ANP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL), to assist enterprises to process supplier quality performance rating and comparison and find the core improvement direction to create the value of all supply chain members. Design/methodology/approach – This study used the integrated model to process supplier quality performance rating and comparison, which not only improved the order-winners and qualifiers and continued to increase supplier quality performance, but resolved the complex and difficult cause-effect relation issue to find out core improvement items. The cases of Taiwanese industrial computer manufacturers were used to describe the application and benefits of this methodology. Findings – The results recommended that the improvement item of supplier A shall focus on design and quality conformance. The recommended improvement item and order for supplier B is design, delivery reliability and delivery speed. This study established ANP and DEMATEL evaluation models, and expanded the application field in the supplier performance evaluation. Originality/value – The ANP model is used to calculate the importance of the evaluation criteria, and the DEMATEL method is introduced to consider the impact of the casual relationship of evaluation items and to adjust the importance of the evaluation item, and to solve the complex and difficult practical causation issue.


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


2020 ◽  
Vol 2020 ◽  
pp. 1-20 ◽  
Author(s):  
Yi Su ◽  
Dezhi Liang ◽  
Wen Guo

The growing imbalance in regional innovation development has become an urgent issue in China’s strategy to build an innovative country. To enrich the regional innovation capacity evaluation system, scientifically assess regional innovation capacity, and explore available pathways to improve regional innovation capacity, this paper introduces a multiattribute decision-making method for evaluating regional innovation capacity. First, a random forest model and the DEMATEL-based analytic network process (DANP) method are applied to calculate the weights of the evaluation attributes. Second, the multiobjective optimization by the ratio analysis method based on the maximum and minimum (MOORA-min-max method) is used to calculate the evaluation attribute gap ratios and regional innovation capacity of each region. Finally, the limitations of regional innovation development are identified based on the evaluation attribute gap ratios and the critical influence strength roadmap (CISR) to explore the regional innovation capacity improvement pathways. The results show that “output capacity of R&D personnel in universities and research institutes” is the most fundamental evaluation attribute in the regional innovation capacity evaluation, while “output efficiency of R&D funds in universities and research institutes” is the most influential evaluation attribute. Research in Sichuan and Inner Mongolia reveals that regions need to identify critical constraints in four aspects: knowledge creation, knowledge acquisition, enterprise innovation, and innovation environment, to improve regional innovation capacity.


Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.


2014 ◽  
Vol 6 (1) ◽  
pp. 44-65
Author(s):  
Mohammad Amin Zare ◽  
Ahad Zare Ravasan

E-government has provided the state-run sector with numerous opportunities to offer a variety of services through websites to citizens and the private sector. These websites have been launched in order to provide easy access to government services, boost the efficacy of the government-run sector and reduce operational costs. Given the point that many of these websites have gradually been developed and have scarcely been standardized to meet the requirements of site visitors, it is necessary to develop models for quality assessment of such websites. In this study, an information systems quality assessment (ISQA) based method along with fuzzy analytic network process (ANP) has been exploited to assess the quality of governmental websites. In order to validate the proposed model, it is applied to portals in six Iranian free trade zones. Finally, the assessment results are discussed.


2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Gülşen Akman ◽  
Hamit Pışkın

Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components.


Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman

Performance Measurement (PM) is a combination of a company’s characteristics that can be numerically expressed. The aim of the PM is to provide feedback about the success of current activities and give insight about future performance. Performance of a company depends on its vision and goals so the definition of performance can vary with time. While PM literature provides various models for PM, the most accepted model is Balanced ScoreCard (BSC). BSC supplies four inter-related perspectives that the companies can identify as indicators for performance. These perspectives are: financial, internal business processes, customer, and learning and growth perspectives. In this study, PM is formulated as a Multi Attribute Decision Making (MADM) problem and a Fuzzy Analytical Network Process (FANP) based performance measurement model is proposed. The performance measurement criteria are built based on four perspectives of BSC. The proposed model utilizes FANP in order to determine the relative importance of perspectives and indicators. The performance scores for each indicator are determined based on the predefined goals and these scores are aggregated to reach an overall performance score.


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