Analytic Hierarchy Process Decision Model Research Articles

Analyzing the spatial determinants of housing prices in Dammam, Saudi Arabia: an AHP approach

Purpose This study aims to examine the determinants that influence housing prices in Dammam metropolitan area (DMA), Saudi Arabia, by using the analytic hierarchy process (AHP) model. The study considers determinants such as building age (BLD AG), building size (BLD SZ), building condition (BLD CN), access to parking (ACC PK), proximity to transport infrastructure (PRX TRS), proximity to green areas (PRX GA) and proximity to amenities (PRX AM). Design/methodology/approach The AHP decision model was used to assess the determinants of housing prices in DMA, using a pair-wise comparison matrix to determine the influence of the investigated factors on housing prices. Findings The study’s results revealed that building size (BLD SZ) was the most critical determinant affecting housing prices in DMA, with a weight of 0.32, trailed by proximity to transport infrastructure (PRX TRS), with a weight of 0.24 as the second most influential housing price determinant in DMA. The third most important determinant was proximity to amenities (PRX AM), with a weight of 0.18. Originality/value This study addresses a research gap by using the AHP model to assess the spatial determinants of housing prices in DMA, Saudi Arabia. Few studies have used this model in examining housing price factors, particularly in the context of Saudi Arabia. Consequently, the findings of this study provide unique insights for policymakers, housing developers and other stakeholders in understanding the importance of building size, proximity to transport infrastructure and proximity to amenities in influencing housing prices in DMA. By considering these determinants, stakeholders can make informed decisions to improve housing quality and prices in the region.

Risk Prioritization in Water and Wastewater Projects Using a Decision Model Based on the Analytic Hierarchy Process

The risk management standard published by the Project Management Institute (PMI), entitled Project Management Body of Knowledge (PMBOK), was utilized in the present study as the primary method for evaluation of risk management. The general purpose of this article is to prioritize risk in water and wastewater projects through the analytic hierarchy process (AHP). The statistical population considered here covers all the factors involved in water and sewage projects. Sample size determination was done based on the Morgan table, which resulted in selecting 59 high-expertise experts. The Delphi method, a process used to arrive at a group opinion or decision by surveying a panel of experts, was used for risk identification. After entering the raw data into an Expert Choice program, based on the AHP decision model, data analysis was completed. The obtained results indicate that budget deficit is the most critical risk factor of the project, preceding by inflation and international sanctions. Furthermore, risk factors related to expanding the project relationship with other areas, the area's religious location, and the area's environmental hazards, and the project site are the least important ranking items.

Weighted semantic plagiarism detection approach based on AHP decision model

ABSTRACT The increasing rate of academic plagiarism is a social problem that engages institutions and publishers. Plagiarists try to mislead the plagiarism detection system using synonyms and inverted word order. Numerous algorithms tried to overcome these problems using structural and semantic detection. However, most of them focus on overcoming some challenges. Moreover, all of them consider the same significant degree for all terms of the documents. On the other hand, the time complexity is an essential parameter that must be considered. This paper presents an effective way to detect structural and semantic similarity degrees among two papers only using some part of the paper’s content instead of all content, decreasing the time complexity. The similarity is calculated using a set of impressive terms and various combinations to augment plagiarism detection ability even if the word order is changed. Different weight is assigned to the word according to its position in various sections of the paper. Finally, an AHP (Analytical Hierarchy Process) model uses to calculate a weighted similarity. The results indicated that the proposed approach has more ability to detect semantic academic plagiarism, and the runtime is reduced compared to similar ones.

Forecast of Traffic Vehicle Demand Based on AHP Decision Model

The development of high technology has driven the rapid growth of civil aviation passenger demand. However, most current studies ignore the impact of increased passenger traffic on ground vehicle demand. This paper studies the demand forecast of transportation vehicles in a specific environment. Taxis are under huge service pressure when faced with the characteristics of irregular time distribution and high dynamics. After the taxi driver escorts the passenger to the airport, it is a big problem whether to leave without a load or go to the car pool. This paper uses Analytic Hierarchy Process (AHP) to construct a judgment matrix, establishes an airport taxi demand forecast model based on the best interests. Taking the status of taxi operation in Kunming Changshui International Airport as an example, the results show that the model can predict taxi demand more accurately and has practical guidance significance. Compared with traditional schemes, it is more conducive to improving driver’s income.

Application of Analytic Hierarchy Process Decision Model for Solid Waste Management Strategy in Yaoundé, Cameroon

Municipal solid waste management is one of the global challenges that the world is facing today as countries make strides towards the Millennium Development Goals. The aim of this paper is to identify the most appropriate municipal solid waste management strategy in Yaoundé. The tool used in this study is the Analytic Hierarchy Process (AHP), one of the multi-criteria decision-making techniques. Based on the synthesis of the decision/policy makers' judgements elicited, the Sustainable Development and Waste Service Quality criteria are identified as the priority objectives that should be applied for the municipal solid waste management strategy in Yaoundé, meanwhile the alternatives Pre-collection and Selective Collection are suitable actions to be integrated into the current municipal solid waste management strategy in Yaoundé.

Comparison among Original AHP, Ideal AHP and Moderate AHP Models

Decisions always involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques. Every decision making can be considered as the choice from the set of alternatives based on a set of criteria. The analytic hierarchy process (AHP) is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons. This paper is concerned with the moderate AHP decision model is always same as the original AHP decision model. It does not violate the rule itself.

DEVELOPMENT OF AN INNOVATIVE AHP-BASED DECISION SUPPORT SYSTEM IN THE FIELD OF IT SERVICE MANAGEMENT

The order in which service engineers in the field of IT service management decide to resolve incidents is crucial considering the impact it has on the business performance of the IT service provider. A possible solution to reduce negative impacts is to support service engineers by means of a decision support system that calculates priorities for the incidents based on their business impact. Considering these priorities in their decisions, service engineers can help reduce such negative impacts on the IT service provider’s business. The aim of this study was to incorporate the Analytical Hierarchy Process (AHP) method into a software tool to prioritize incidents according to the severity of their business impact. As a result, a decision support system called Incident Prioritizer (IP) was developed. It uses the AHP method to calculate priorities for incidents based on typical criteria that are relevant in the field of IT service management to assess the business impact of incidents. These criteria are commonly defined by the management of an IT service provider organization, and reflect the management’s understanding of the business impact that is caused by incidents. The results suggest that the AHP method can be successfully applied for the given problem of incident prioritization. The prioritization is facilitated by an AHP decision model that consists of only one level of criteria and considers judgments from human beings as well as data from external information systems. http://dx.doi.org/10.13033/ijahp.v7i1.284

ERP in clouds or still below

Purpose – The purpose of this paper is to investigate the market readiness to adopt the Cloud as the future ERP platform, by using the analytic hierarchy process (AHP) decision support methodology. Design/methodology/approach – Interviewing is conducted on the convenient sample, of enterprises from various industries. The interview is conducted through expert telephone interview and self-administered questionnaire. Results are then used as a basis for forming the weight factors necessary for the AHP decision model. Data are analyzed and synthesized using AHP and Expert Choice. Findings – Results demonstrate a huge interest for TCO reduction, but also a concern for data privacy and availability. Large enterprises want their data on local servers, while smaller companies tend to act as “first adopters”, mainly because of the cost benefits that Cloud offers. Finally, vendors see the hybrid solutions as the most suitable approach for the overall market, at least while current Cloud obstacles exist. Research limitations/implications – This research does not aim to answer the question what is the best solution for a particular industry. Instead, it assumes the general approach, which answers the question what would in general be the adequate solution for the SME and how much are SMEs ready to adopt the ERP in the Cloud. A further research is necessary to validate these results in practice. That research should be industry specific, i.e. narrowed to one industry only. Then, it would be possible to answer the question what is the best solution for high-tech SMEs. Practical implications – This paper summarizes Cloud pros and cons useful for decision makers to establish a starting point for IT reorganization. Additionally, AHP results provide some indications of the market's perception regarding Cloud and ERP, while vendors' statements about ERP-Cloud solutions provide an interesting glimpse of the ERP market in the next few years. Originality/value – Market demands constant flexibility and cost effectiveness, forcing companies to adapt faster than ever. Therefore, there is a significant risk for first adopters and their business if they adopt an inadequate solution. This paper offers a high-level overview of the SME's market understanding and willingness to adopt ERP in the Cloud idea, and it demonstrates how the AHP decision support methodology can be used to assess the readiness of enterprises to adopt the Cloud-ERP solution.

A study on aggregation of group decisions

AbstractThe analytic hierarchy process (AHP), proposed by Saaty in 1971, has already become a common decision technique in the field of decision science. In attempting to deal with group decision problems, a vast amount of literature has adopted geometric means or arithmetic means to aggregate the multiple opinions of group decision makers with AHP. However, geometric means and arithmetic means are usually subject to the influence of extreme values, and make use of only simple average types of manipulation to combine the judgments of decision makers which may not practically capture the group preferences among alternatives. In this paper, two aspects of consideration are probed into the construction of a group AHP decision model, which are ‘preferential differences’ to denote the differences of preferential weights among alternatives for each decision maker, and ‘preferential ranks’ to denote the ranks of the alternatives for each decision maker. A comparative analysis is performed to investigate the effectiveness of the proposed model, and a ‘satisfaction index’ is suggested to indicate the satisfactory level of the final obtained group decision. Finally, a feedback interview is carried out to collect the post‐model opinions of decision makers in order to understand their acceptance about the proposed model. Copyright © 2008 John Wiley & Sons, Ltd.

An analytical hierarchy process assessment of the ISO 14001 environmental management system

Nowadays, designing and manufacturing of environmental friendly products has become an integral part of business strategy. Increasing consciousness of environmental protection has fostered the development of environmental management systems (EMS). In this paper, the critical decision criteria, sub‐criteria and benefits of ISO 14001 EMS were studied using an analytical hierarchy process (AHP) approach. An empirical study was performed to investigate the relative weights and priorities of these criteria and benefits. An AHP decision model of EMS adoption was established, and a set of decision criteria, sub‐criteria and benefits of ISO 14001 EMS was examined. By consolidating the acquired judgements of executives and consultants from a number of ISO 14001 registered organizations, this paper demonstrates that the AHP decision model can be developed to help organizations study the ISO 14001 EMS adoption problem. The decision criteria and benefits of the adoption can be assessed in an analytical way.

An AHP decision model for facility location selection

Presents an AHP (analytical hierarchy process) decision model for facility location selection from the view of organizations which contemplate locations of a new facility or a relocation of existing facilities. The AHP model provides a framework to assist managers in analysing various location factors, evaluating location site alternatives, and making final location selections. The primary principle of the AHP model is to match decision‐makers’ preferences with location site characteristics. The model requires that a number of potential sites have been proposed. Alternatives are then evaluated and compared under both quantitative and qualitative factors to allow managers to incorporate managerial experiences and judgement in the solution process. Uses an example problem to illustrate the solution process. Addresses managerial implications for future research.