ANP在价值分析评价中的应用

网络层次分析法(ANP)是在层次分析法(AHP)基础上发展而形成的一种新的实用科学决策分析方法,尤其适合于复杂问题的评价决策。本文介绍了ANP的基本原理和具体步骤,并探讨它在价值分析评价中的应用。     

Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment

The purpose of this study is to evaluate the performance of the European airlines, using a balanced scorecard perspective. Within this scope, a hybrid multi-criteria approach was used by combining the Fuzzy DEMATEL, Fuzzy ANP, and MOORA methods. The results demonstrate that customer dimensions and profit per customer are the most significant key factors in the balanced scorecard perspective. Additionally, the airline companies with the largest profit (per employee) and highest number of passengers and flights (per employee) had the best scores in the multidimensional performance results. Furthermore, the airline companies with the highest profitability and efficiency are more successful than other companies. Therefore, we recommend European airlines to focus on these aspects in order to improve their performance. This study makes an important contribution to literature by helping to solve a significant problem in the market with the proposed methodology.     

Analysing the provision of agricultural public goods: The case of irrigated olive groves in Southern Spain

Analysis of the joint production of private and public goods (PGs) by farming activities is a fertile research field. These joint production processes are typically characterised by a high level of complexity derived from the intense relationship between the production of both kinds of outputs. An integrated approach is strongly recommended for the study of the provision of agricultural PGs and the design of public intervention in this sector. Here, we propose a theoretical framework to apply an integrated approach using the analytic network process (ANP) to analyse the production of PGs by agricultural systems to support public decision-making concerning the design and implementation of agricultural policies. We introduce a novel approach in applying ANP along both directions of the influences among elements, allowing us to identify the most influenced PGs and the farmers’ most influential decisions. This methodological approach is empirically applied to a particular farming system: the irrigated olive groves (IOG) of Southern Spain. Results show that the PGs most influenced by olive growers’ decisions are soil fertility, the visual quality of agricultural landscapes and farmland biodiversity. In addition, the most influential factors affecting the provision of PGs are the structural ones, namely farm size and tree density, and, to a lesser extent, management factors dealing with fertilisation, soil and irrigation management. These results are useful for supporting agricultural policy decision-making to enhance adequate management of this farming system regarding PGs production.     

Operational excellence in a green supply chain for environmental management: A case study

Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context, given that becoming green in the operational side of activities is essential, the performance assessment of operational activities also requires a holistic view to be taken. In this paper, an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria, namely, quality management, efficiency management, green production/manufacturing, eco‐packaging, and green design. First, the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then, the overall operational performance score was found by a weighted scoring method. Finally, both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.     

民办本科高校教育“双证书”模式的探讨

本文利用实证数据,通过因子分析方法确定了民办本科高校教育中实行"双证书"模式的影响因素,建立了民办本科高校教育中实行"双证书"模式的基础条件评价指标体系,采用网络层次分析法(ANP)确定了各项指标的权重。     

Developing a Novel Hybrid Model for Industrial Environment Analysis: A Study of the Gourmet and Tourism Industry in Taiwan

This study applies fuzzy set theory in attempting to evaluate important attributes of the tourism and gourmet business environment in Taiwan. This business environment is composed of various attributes that are difficult to measure. To overcome these challenges, we integrated the fuzzy Delphi method, the decision-making trial and evaluation laboratory method, and the analytic network process to evaluate the business environment. We found that the most significant aspect of the tourism and gourmet business environment is human resources and that the least significant aspect of this industry is market development. The most significant criteria are enhanced industry competitiveness and opportunities to develop the industry.     

Prioritizing destination attributes for optimal resource allocation: a study of Chinese tourists visiting Britain

ABSTRACT

This study assesses the importance, performance, and the interrelationships of key destination attributes for marketing managers to prioritize resource allocation. A three-dimensional analysis of importance–performance–impact-analysis (IPIA) factors, based upon a survey sample of 275 Chinese tourists to Britain and an expert panel interview with 10 destination marketing managers is presented. Data analysis was based upon a mix of multi-criteria decision-making methodologies, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytic Network Process (ANP) method. The framework can be applied to prioritize resources allocation to improve customer satisfaction in other contexts, such as a sector or a specific business.     

A measure of regional influence with the analytic network process

The metropolitan region is commonly defined by a socio-spatial network of urban nodes that are linked in territory and function. Such a network is differentiated by size and dominance of the linked nodes, characterized by physical or virtual flows of a wide-ranging variety. The analytic network process (ANP) is a multi-criteria analytic method that measures the influence or dominance of the nodes in a network with feedback. We illustrate how ANP determines county rank as a measure of influence in a metropolitan statistical area (MSA) defined by its interrelated socio-economic and spatial elements qualitatively and quantitatively. We compare the ANP results to similar measures of regional influence in the literature.     

江西省中小企业技术创新融资风险分析

本文旨在通过ANP评价法对江西省中小企业技术创新融资方式进行风险分析,从中得出政府对中小企业的支持能有效降低中小企业技术创新融资风险的结论。     

基于ANP灰色关联的电力用户重要性评估

鉴于用户的分级管理过程需要对电力用户进行全面和客观的重要性评估,从用户可靠性要求和供电中断危害程度2个方面对用户的重要性进行了考察。在总结用户停电的影响及其关系的基础上,提出了用户重要性的评价指标体系,并利用网络层次分析法（ANP）对各指标进行赋权后,运用灰色关联对用户的重要性作出评估。实例分析验证了该评估方法的实用性和有效性。