An integrated approach for deriving priorities in analytic network process

2007 ◽  
Vol 180 (3) ◽  
pp. 1427-1432 ◽  
Author(s):  
Jing-Rung Yu ◽  
Sheu-Ji Cheng
2018 ◽  
Vol 24 (3) ◽  
pp. 1041-1062 ◽  
Author(s):  
Tolga GENÇ ◽  
Mehmet KABAK ◽  
Eren ÖZCEYLAN ◽  
Cihan ÇETINKAYA

Demand for natural gas has severely challenged the world supply among other types of energy sources such as coal, geothermal, nuclear and etc. Natural gas is the most important form of energy because it is clean, abundant, reliable and versatile. Due to the limited and transportable characterizes of natural gas, sharing pipelines for natural gas with other nations can either bring peace and stability or create chaos. To avoid insoluble strategies, it is very explicit to decide scientifically for these kinds of global issues. To do so, a SWOT (Strengths, Weaknesses, Opportunities and Threats) – ANP (Analytic Network Process) integrated approach is presented to evaluate natural gas policies for Turkey in terms of East Mediterranean Region. In the first step, the appropriate strategies, SO (strengths-opportunities), ST (strengths-threats), WO (weaknesses-opportunities) and WT (weaknesses-threats) are determined via SWOT analysis including four criteria, 20 sub-criteria and seven strategies. Due to inability of SWOT analysis to prioritize the criteria and rank the strategies, ANP approach which also considers the dependency between criteria is applied in the second step. Finally, the proposed SWOT-ANP approach is compared with other multi criteria decision making (MCDM) techniques to represent the effectiveness and applicability of the model.


Author(s):  
Sarojini Jajimoggala ◽  
V. V. S. Kesava Rao ◽  
Beela Satyanarayana

An optimal maintenance strategy mix is necessary for increasing availability and reliability levels of production facilities without significantly increasing operational costs. The selection of maintenance strategies is a typical Multiple Criteria Decision-Making (MCDM) problem with conflicting goals. Consideration of interdependence among the criteria and alternative policies for maintenance strategy provides valuable cost savings and greater benefits for any hybrid flow systems. For any decision maker, it is convenient to prioritize the criteria of MCDM problems and goals of goal programming problems in fuzzy terms. This paper presents an integrated approach for maintenance policy selection, using fuzzy Analytic Network Process (ANP) within a Goal Programming, based on fuzzy preemptive priority where goal hierarchies are specified in different levels of fuzzy importance. To overcome the criticism of inconsistency, unbalanced scale of judgments and uncertainty in the pair-wise comparison process, criteria weights are determined using modified fuzzy LLSM method.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yanqun Yang ◽  
Said M. Easa ◽  
Zhibin Lin ◽  
Xinyi Zheng

This paper presents a novel methodology for determining the overall highway safety level by integrating statistical analysis and analytic network process (ANP) with set pair analysis (SPA) which is applied in the evaluation of the overall highway safety for the first time. The methodology accounts for both quantitative and qualitative factors that contribute to traffic safety. The statistical analysis uses crash, alignment, intersection, and other data to determine the significant indices (variables) that affect safety. These indices are then combined with the planning (qualitative) indices to determine the weights of all indices based on expert opinions using ANP. Finally, the overall safety level of the highway is determined using SPA. The methodology is illustrated using data collected from two highways in China. The results demonstrate that the proposed methodology is sound and reliable. The methodology is applicable to existing or new highways and can help to effectively evaluate the overall safety of a highway and develop long-term strategies for safety improvements.


2014 ◽  
Vol 11 (3) ◽  
pp. 232-256 ◽  
Author(s):  
Kailash Meena ◽  
Jitesh Thakkar

Purpose – The purpose of this paper is to develop a Balanced Scorecard-based performance measurement framework for health care system. Design/methodology/approach – An integrated ISM-ANP-based quantitative approach is used for the development of balance scorecard for health care system. The necessary insights are drawn from the secondary literature. Findings – This research identifies Key Performance Indicators and their interrelationships for health care system. An integrated approach of ISM and ANP is employed for the development of balance scorecard. Research limitations/implications – The findings of the research are based on insights gained from secondary literature and an analysis of five cases in health care segment and hence generalization of proposed framework is limited to the system representing some commonalities with chosen cases. Practical implications – Health care is the diagnosis, treatment and prevention of disease, illness, injury and other physical and mental impairments in humans. Access to health care varies across countries, groups and individuals, largely influenced by social and economic conditions as well as the health policies in place. The changing nature of today's health care organizations, including pressure to reduce costs, improve the quality of care and meet stringent guidelines, has forced health care professionals to re-examine how they evaluate their performance. Originality/value – The Balanced Scorecard health care expanded organization measures beyond financial analysis. It was first proposed by Robert S. Kaplan and David P. Norton in their book “The Balanced Scorecard (1996, Harvard Business School Press).” This research reports a development of Balanced Scorecard for health care using an integrated approach of Interpretive Structural Modeling and Analytic Network Process is used.


2019 ◽  
Vol 18 (01) ◽  
pp. 171-207 ◽  
Author(s):  
Viral Gupta ◽  
P. K. Kapur ◽  
Deepak Kumar

Selection of a suitable disaster recovery solution is an essential activity performed in an enterprise to facilitate recovery of critical business functions and Information Technology (IT) systems within a tolerable time limit known as disaster recovery time (DRT). The estimation of optimal DRT plays a significant role in IT as it influences overall costs required to ensure business continuity. The estimation of optimal DRT depends upon the capabilities of a chosen disaster recovery solution and multiple conflicting attributes. This paper presents an integrated approach to selecting the best disaster recovery solution using analytic network process (ANP) and estimating optimal DRT using Multi-Attribute Utility Theory (MAUT). ANP is applied to determine the best disaster recovery solution using seven criteria: people, recovery objectives, security, technology, cost, site infrastructure, and regulatory. MAUT estimates the optimal DRT for the best disaster recovery solution based on three conflicting attributes: cost, reliability, and processed backlog transactions. The proposed approach applies to an enterprise application in the banking sector and this paper tests its effectiveness by comparing the results from four different enterprises. This study offers valuable insights to the disaster recovery practitioner to select the best disaster recovery solution and to estimate optimal DRT.


2014 ◽  
Vol 20 (3) ◽  
pp. 391-418 ◽  
Author(s):  
Mehmet Kabak ◽  
Metin Dağdeviren

Selection of the most suitable university among many alternatives is a multi-criteria decision making (MCDM) problem. In this paper, an integrated approach which employs analytic network process (ANP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, is proposed for this problem. By the way, the paper is concerned with criteria influencing student choice in Turkey to establish if there is any need in developing a multi-criteria model for predicting students’ preference for universities. The ANP is used to analyse the structure of the university selection problem and to determine weights of the criteria, and the PROMETHEE method is used to obtain final ranking, and to make a sensitivity analysis by changing the weights for criteria. The results indicate that three factors, future career prospects and opportunities, scholarship and university's social life at the top in the university selection.


Land ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 242 ◽  
Author(s):  
Marta Bottero ◽  
Giulia Datola ◽  
Elena De Angelis

During the last decade, the concept of urban resilience has been increasingly implemented in urban planning, with the main aim to design urban development strategies. Urban resilience is a multi-dimensional and dynamic concept. When applied to urban planning, it consists of studying cities as complex socio-economic systems. Municipalities are currently working to undertake appropriate actions to enrich the resilience of cities. Moreover, several difficulties concern the evaluation of the impacts over time of the strategies designed to enhance urban resilience. The present paper proposes an integrated approach based on the System Dynamics Model (SDM) and the Analytic Network Process (ANP). The objective of this research is to describe the method and to illustrate its application to the area called Basse di Stura, located in the city of Turin, Italy. The method is applied to evaluate the possible impacts of two different urban scenarios in terms of the change of urban resilience performance over time. The final result is represented by an index that describes urban resilience performance.


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