Application Of Analytic Hierarchy Process Research Articles

Study on the Status Evaluation of Urban Road Intersections Traffic Congestion Base on AHP-TOPSIS Modal

Through the analysis and comparison of influence factors for the intersections traffic congestion status, it is determined that the status evaluation of urban road intersection traffic congestion is actually a complex and multi-objective decision problem. On this basis, it will be established that is the status evaluation index system of urban road intersections traffic congestion by application of Analytic Hierarchy Process (AHP), then the traffic status of intersections will be evaluated and decided by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. Finally the algorithm is verified by the actual example about the urban road intersection traffic congestion; the results prove that the model is able to use the information given to correctly evaluate the actual traffic status of intersection and provide the references to make appropriate management measures for the traffic managers.

Virtually combining the analytical hierarchy process and voting methods in order to make group decisions

Multi-criteria decision making (MCDM) is represented by utility and outranking methods. Of the utility models, the analytic hierarchy process (AHP) is probably the most popular in group-decision support. The social choice theory (SCT) with its voting systems can be efficiently combined with MCDM, and AHP in particular, in various group-decision contexts. This paper investigates two possible contexts where modeling group decision-making processes in the field of human---computer interaction (HCI) takes place. Being an important part of universal access in the information society, the first context assumes the use of AHP only, associated with two different aggregating techniques to derive the group decision, with and without a consensus. The second context is based on using only SCT systems, i.e., preferential and non-preferential voting systems. The third, novel, approach that is proposed assumes a full AHP application in the first stage to obtain the weights of alternatives and, in the second stage, an interpretation of the AHP's cardinal information as being the ordinal one and the direct application of the SCT voting systems. Comparative analyses show good agreement for the results when the three methodologies are applied as the decision support to ranking by importance (for a group of 14 PhD students) several widely used sources of information for the internet. The method of virtually combining the AHP and SCT voting systems could be efficiently implemented in real decision-making situations in HCI and related sectors, as well as in cross-sector settings.

Application of the analytic hierarchy process to evaluate the regional sustainability of bioenergy developments

This paper presents the application of the AHP (analytic hierarchy process) method to evaluate bioenergy developments regarding their regional sustainability in a case study area (Tayside and Fife/Scotland). Achieving regional sustainable bioenergy generation is challenging due to the complexity of this sector and the multidimensionality of the sustainability goal. The paper presents a complete and comprehensive AHP application by taking account of two different scenarios and their alternatives, C&I (criteria and indicators) and preferences of bioenergy experts. Although, case-specific C&I weighting and performance assessments are required to make this study valuable for similar decision making situations, the rather generic scenarios allow elements of this study to be transferred to a wide range of decision making situations within the energy and particularly the bioenergy field. The detailed analysis of results, including analyses by end node C&I and by alternatives, demonstrates that decentralized bioenergy generation should be preferred to achieve regional sustainable bioenergy generation in the case study area. Sensitivity analyses explore variations of the subjective judgments made on the different levels of the AHP hierarchies. The results of the sensitivity analyses show that all results can be considered robust.

A Decision-Making Process for Selecting of Lean Tools Implementation Methods by Means of Analytical Hierarchy Process in Health Center

Decision making is contemplated as a serious task in management context and it becomes more challenging when appropriate alternatives should be selected among various options based on some criteria. Analytical Hierarchy Process (AHP) is one of the multi-criteria decision making methods, which is widely used in management science because of its reliable and acceptable performance. In this study, a novel execution of adjusted AHP in decision making was utilized in a case study in Iran in order to find the best method for application of lean concept among alternatives. Previous-mentioned alternatives are consulting, college student, and internal human resource. Case study results demonstrated that using consultants for carrying out lean tools is the best method. The degree of consistency is satisfactory and proved the accuracy and correction of application of AHP in finding the best method for implementation of lean tools.

Metro Emergency Management Capacity Assessment Research Based on AHP-FCE Model

Based on the characteristics of the Metro Operation System and the types of accidents, linked with Metro Operation Emergency Management System, this thesis develops a System of Metro Emergency Management Capacity Evaluation Index. Whats more, with the application of Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE), it also sets up the Metro Emergency Management Capacity Evaluation Model AHP - FCE Comprehensive Evaluation Model. Finally, the model comprehensively evaluates the ability of the domestic Metro Operation Emergency Management System. By analyzing the evaluation results, the author finds out the vulnerable spots of the system and puts forward his own opinions for improvement.

Determining effective criteria for the selection of MDF industry locations in Mazandaran Province: Application of AHP

Selecting the optimum location with attention to conditions and restrictions is one of the most important factors in establishing a manufacturing plant. Identification of effective criteria is an important stage in the selection for the location of industrial units. In this study, an analytic hierarchy process (AHP) was applied to select the most effective criteria for the location of MDF (medium density fiberboard) industry in Mazandaran Province, Iran. A consideration in attaining this goal is that Mazandaran is favored over other provinces because of its resources of raw lignocellulosic material required for wood and paper industries. The results indicate that the criterion of “materials and products” and the sub-criterion of “reliability of supply of raw material” are the most important factors.

Application of analytical hierarchy process to support selection of difficult-to-quantify characteristics in new product development

In most cases, consumers evaluate products based on first impressions. These impressions are subjective, difficult to describe and difficult to handle. Technical specifications are often not considered during the first analysis of a product. In connection with leisure products, e.g. motorcycles, subjective factors have a stronger influence. Therefore, these products are suitable to consider difficult-to-quantify characteristics. Examples of the following approaches are motorcycles. For motorcycles, subjective and difficult-to-quantify characteristics include, for example, the design of the motorcycle, the dynamics of the engine or the perceived quality of the product. The following approach shows how the analytical hierarchy process can support the selection of three different motorcycle chassis. These are analysed based on the directional stability (DS). The DS of a motorcycle is a special example in this evaluation and is analysed in detail. For clarification, additional criteria are considered in the analysis, but not evaluated in detail. The result of the analysis produces a ranking of three different motorcycle chassis in relation to criteria derived from a motorcycle journal. Therefore, different expert opinions are incorporated into the analytical hierarchy process. The analytical hierarchy process helps to identify, structure and evaluate the criteria and the different options to support the decision process.

Analytic hierarchy process application in selecting the mode of transport for a logistics company

SUMMARYAs a multi‐criteria decision‐making (MCDM) method, the analytic hierarchy process (AHP) has been used considerably to solve hierarchical or network‐based decision problems in socio‐economic fields. Following an in‐depth explanation of the transport function in logistics and an overview of the MCDM methods, the AHP model is employed in the paper for a logistics company in selecting the most suitable way of transportation between two given locations in Turkey. The criteria used in the selection of transportation modes are identified as the cost, speed, safety, accessibility, reliability, environmental friendliness, and flexibility. Several cost parameters (transportation, storage, handling, bosphorus crossover) are incorporated into the decision‐making process. The application is carried out in instructional character. The results of the study indicate that the railway transportation, which is not widely used in Turkey, is also an alternative and suitable means of transportation. Copyright © 2013 John Wiley & Sons, Ltd.

Development of Urban Green Open Space (UGOS) Based On Its Function, Model and Location In Kupang City, Indonesia

Urban Green Open Space (UGOS) in Kupang city is absolutely needed because it produces various environmental benefits for urban communities. However, the fact is that changing on UGOS function shift to physical buildings massively which is not appropriate with any principles of sustainable development. This issue produces instabilities on the urban ecosystem. Specifically, this research is undertaken in Kupang, the capital city of province of Nusa Tenggara Timur, Indonesia. The main reason using Kupang is the center of province government and one of developing cities in Indonesia has changed pattern of land use reducing UGOS. According to that reasons, the research purpose is to analyze the priority of UGOS development in Kupang based on its functions (ecology, social, economic, and esthetics), design or model (area, node and path), and location. Research methode generates quantitative approach applying Analytical Hierarchy Process (AHP) method. It is one of method to assist constructing priority based on multi creteria from structural and logical processes. Research findings suggest that the priority of UGOS at Kupang city is the Ecological UGOS with path model and it needs to be developed in the Path No.5 of the Frans Seda street, Oebobo district, Kupang - Nusa Tenggara Timur (NTT).

Using AHP and ANP approaches for selecting improvement projects of Iranian Excellence Model in healthcare sector

Healthcare has a long tradition in developed methods and models to assess the quality of work. There have been several models presented for deployment and assessment of quality management which much more attention is paid to organization excellence models due to their being total and complete. The European Foundation for Quality Management (EFQM) excellence model can be used for continuous improvement of activities and performance of organizations from both private and public sector by establishing a Total Quality Management (TQM) philosophy. Iran national productivity and excellence award in collaboration with Azad University – Science and Research campus and ministry of health, treatment and medical training, designed a model for healthcare organizations and this model was used in 23 hospitals. The study was based on experience gained in hospitals, to rank the improvement projects using Analytic Network Process (ANP) and Analytic Hierarchy Process (AHP) methods. The objective of this paper is to present the results of the application of AHP and ANP to select a project within the field of healthcare in Iran. Project number nine “Leadership Development and Succession Planning” got the highest score, and it is the most appropriate choice. Key words: European Foundation for Quality Management, multi-criteria decision methods, analytic hierarchy process, analytic network process, health sector.

Determining the key capabilities required for performance excellence in higher education

Performance excellence in higher education institutions (HEIs) requires the management of the capabilities related to research, programme design and delivery, and service performance. The capabilities that relate to these three dimensions of HE are numerous, but the resources required to manage these capabilities are usually limited. The key capabilities required for performance excellence must be determined as a part of systematic management. Mapping out the key capabilities, however, is not easy given the unique context of each HEI and subjective perceptions of those involved in determining the key capabilities. This article provides a structured framework for mapping out the key capabilities – required for performance excellence – through the analytic hierarchy process (AHP). The framework allows the integration of diverse viewpoints, is consensus-based, and allows input to, and ownership of, the decision-making process and its outcomes. The application of AHP is demonstrated through a case study.

Establishment of surgical team at the frontline of emergency medical relief

Objective To select the best plan for establishing frontline surgical team(FST) for emergency medical relief based on the characteristics of health service for non-battle military missions,hoping to provide theoretical reference and evidence for establishing FST.Methods This study proposed 4 options to setup FST,including establishing a new one(P1),integration of professional operation teams(P2),selected group from field medical unit(P3),and modification of existing field medical team(P4).The analytic hierarchy process(AHP) was used to analyze the relevant factors influencing the establishment of FST,in an effort to build a hierarchical model diagram and to form a judgment matrix score of four scenarios;the four programs was evaluated by consulting experts and calculating the index weights and general weights.Results The consistency of matrix test results was judged as CR0.10,with the weights of the program scores being P1 = 0.213 8,P2 = 0.242 0,P3 = 0.205 4,and P4 = 0.338 8.Conclusion Application of AHP can achieve satisfactory result in selecting optimal plan for establishing FST;the optimal option to establish FST is to convert the existing field medical team(P4).

Application of Analytic Hierarchy Process in the Steel Industry

Through analysing the indexs of the steel industry supply chain financing default risk, the article establishes a multi-level fuzzy comprehensive evaluation model for the steel industry supply chain financing default risk. Application examples show that the model overcomes the defect of subjective evaluation. It’s a rational and effective tool to assess the default risk of the steel industry supply chain financing.

Application of analytical hierarchy process and least-squares method for landslide susceptibility assessment along the Zhong-Wu natural gas pipeline, China

As one of the major problems of geo-engineering, landslides often influence the safety of linear engineering projects that cross mountainous areas. Therefore, when selecting suitable routes for such projects, it is important to assess their susceptibility to landslides. In this paper, we used a natural gas pipeline in the northeast of the Yunnan-Guizhou Plateau of China as a case study to analyze landslide susceptibility. Based on engineering geological analogy, the analytical hierarchy process, and the least-squares method, a regional landslide susceptibility assessment model was developed and was programmed using GIS ArcEngine components under the Visual Studio.NET environment. The landslide susceptibility along the Zhong-Wu natural gas pipeline from Zhongxian County to Wuhan was assessed based on this model and classified into five levels: very safe, safe, moderate, susceptible, and very susceptible. The high accuracy and prediction capability of the model were confirmed by comparing the model results with past landslide data and performing a prediction test. The results indicated that the assessment model used in this study is reliable and can be used for landslide susceptibility assessment and route selection in other areas.

An Application of AHP and Sensitivity Analysis for Measuring the Best Strategy of Reverse Logistics: A Case Study of Photovoltaic Industry Chain

Abstract This work presents an evaluation model that adopts several important criteria based on benefits, opportunities, costs, and risks (BOCR) perspective, enabling the collecting strategy of reverse logistics (RL) of the Taiwan photovoltaic industry (TPI) supply chain is the most appropriate. Major criteria weights are analyzed using the analytic hierarchy process (AHP) and sensitivity analysis. Analysis results indicate that the proposed evaluation model enables the collecting strategy of RL in the TPI supply chain more objectively by allowing them to deploy effectively. Importantly, the proposed model can provide the TPI accreditation strategy in RL a reference material, making it highly applicable for academia and commercial purposes.

Discussion: Multi-criteria contractor selection – a practical application of analytic hierarchy process

Discussion: Multi-criteria contractor selection – a practical application of analytic hierarchy process

Design and Implementation of jAHP: A Java-based Analytic Hierarchy Process Application

a multiple criteria decision making problem by a group of decision makers in different geographical locations could be hard. Analytic Hierarchy Process is a mathematical model capable of dealing with such type of problems. However, the lack of geographical support is the major drawback of a traditional standalone Analytic Hierarchy Process tool. To address this issue, this paper proposes to adopt Java programming language to design and implement jAHP, a Java-based Analytic Hierarchy Process application available over the Internet. External validity is accessed by comparing jAHP results with both manual approach and commercial software. KeywordsHierarchy Process (AHP), Java Programming, JTree

User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner

BackgroundThe rigorous elicitation of user needs is a crucial step for both medical device design and purchasing. However, user needs elicitation is often based on qualitative methods whose findings can be difficult to integrate into medical decision-making. This paper describes the application of AHP to elicit user needs for a new CT scanner for use in a public hospital.MethodsAHP was used to design a hierarchy of 12 needs for a new CT scanner, grouped into 4 homogenous categories, and to prepare a paper questionnaire to investigate the relative priorities of these. The questionnaire was completed by 5 senior clinicians working in a variety of clinical specialisations and departments in the same Italian public hospital.ResultsAlthough safety and performance were considered the most important issues, user needs changed according to clinical scenario. For elective surgery, the five most important needs were: spatial resolution, processing software, radiation dose, patient monitoring, and contrast medium. For emergency, the top five most important needs were: patient monitoring, radiation dose, contrast medium control, speed run, spatial resolution.ConclusionsAHP effectively supported user need elicitation, helping to develop an analytic and intelligible framework of decision-making. User needs varied according to working scenario (elective versus emergency medicine) more than clinical specialization. This method should be considered by practitioners involved in decisions about new medical technology, whether that be during device design or before deciding whether to allocate budgets for new medical devices according to clinical functions or according to hospital department.

Application of AHP and Fuzzy theory in the Scientific Research Projects Management

Today, the number of scientific research projects in universities is increasing. The content and system will be more and more complex. The technology in projects will be advanced. And the cost will increase too. The project management involves various factors. More and more uncertain factors will increase the project risk of demonstrating and studying. At present, we still lack the valid means in risk identification, evaluation, control and management in universities. Therefore, the risk management study of scientific research projects has great importance and pressure. In this paper, AHP (Analytic Hierarchy Process) and fuzzy theory are applied into the scientific research projects management. We analyzed the risk factors and determined the indexes. Risk grades and the evaluation model are built. A simulation example is given. The results of our study give references to the risk control and decision of scientific research management, which can be used directly in reality. It also has reference value to other kinds of risk management.

Application of AHP in the Design of a Strategy Map

This paper presents an application of the Analytic Hierarchy Process (AHP) to support the creation of a strategy map. A strategy map is a representation of the cause-effect relationships between strategic objectives of a Balanced Scorecard (BSC). The method proposed establishes the relationships that are important within the strategy map. The case of seven companies is presented, where the method is applied and the results are compared with the actual maps defined by the companies. The comparison is made to determine in which extend the proposed method is useful for establishing the causal relationships in a strategy map.