Applying the Analytical Hierarchy Process (AHP) Approach to Convention Site Selection

While the Israeli–Palestinian conflict has raged for decades, in all of its ramifications there has never been a totally structured or scientific approach to the conflict with all of its details. The Analytic Hierarchy Process (AHP) approaches the problem along these lines. There are a plethora of reasons why the traditional face to face negotiations have broken down over the years. This paper identifies a significant number of those impediments and indicates how the AHP can productively address them. A summary of the highlights of the AHP approach precedes how it has been applied to the Israeli–Palestinian conflict. To date, the participants, significant members of both communities, have derived and agreed upon a solution that includes all the major issues, except for the refugee problem. That problem is currently being worked on, but will take an extended period because of the unique factors involved. What has been provided is an agreed upon solution to virtually all of the issues impeding past negotiations, including borders, settlements, the status of Jerusalem, the Holy Places, security and expectations of each side.

The dynamics and challenges of the business environment require companies to adapt quickly and responsively to changes. The ability to meet customer expectations through quality products and services at competitive prices is the key to the company's sustainability. A reliable supply chain plays an important role in this matter, not only ensuring economic efficiency, but also paying attention to social and environmental aspects. Trusted suppliers are the main support to ensure the availability of quality raw materials, competitive costs, and are supported by good after-sales service. This research aims to develop an integrated model to overcome the problem of supplier selection and raw material order allocation at PT. IKSG. The model combines the Analytic Hierarchy Process (AHP) and Linear Programming approaches. AHP is used to objectively evaluate and determine the best supplier selection, while Linear Programming allocates the optimal order quantity to each of the selected suppliers. The study's results successfully identified the criteria for selecting suppliers that support the concept of sustainability. The three main criteria obtained were economic (weight 63.16%), environment (weight 26.67%), and social (weight 10.17%). Economic criteria have subcriteria of quality, cost, availability, flexibility, delivery, and finance. Environmental criteria have subcriteria for waste management, reputation, and environment-related certificates. Social criteria have subcriteria for the rights of employees, working hours, and worker safety. From the evaluation of six alternative suppliers, the three best suppliers were selected. The optimal allocation of raw material orders is allocated to SDP (S1), PT (S5) and SCG (S6) in order.

Technologies of renewable energy (RE) play a vital role in increasing economic growth in many countries and present a solution for many social, ecological, and political problems. Though, RE faces many barriers that prevent its development. So, these barriers are ranked and identified in this work, including five main barriers and fifteen sub barriers. In addition, five strategies are identified and ranked. The first step in this work, the Analytical Hierarchy Process (AHP) approach used to rank main and sub barriers under Single Valued Neutrosophic Sets (SVNSs). Then Neutrosophic Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach assessed the five strategies. The outcomes of this work show that Commercial barriers ranked as the highest barriers and social-ecological ranked as the lowest barriers by using the AHP approach. Outcomes by neutrosophic TOPSIS show that capital assistant ranked as the highest strategies and RE goals ranked as the lowest strategies. This work can help decision-makers, governments for building a RE by using these strategies to overcome barriers that faced them.

Integrated Assessment of Environmental and Economic Performance of Chemical Products Using Analytic Hierarchy Process Approach

This paper evaluates the Solar Energy Potential for Bumthang valley in central Bhutan using geographic information system (GIS) and Analytic Hierarchy Process (AHP) approach. In order to find the suitable catchment for solar PV installation, the analysis have been carried out based on three broad factor; climatological, environmental and economic factors namely; solar irradiance, elevation, aspect, slope, LULC, proximity to town and proximity from road besides exclusion criteria; Protected Area and Biological Corridor (PA&BC). The weights of the criteria are calculated using MCDM-AHP and applied on the individual criteria raster to generate the final suitability map. The highly suitable area for placing solar farm has been assessed applying exclusion criteria and yielded a potential area of 6.54 km2 for the valley. The solar energy potential based on different efficiencies of PV modules indicated a potential of more than 1000 GWh/Year, while current energy consumption of the valley indicated only 11.5 GWh/Year.

This paper is to construct a balanced scorecard (BSC) for universities based on knowledge management (KM) and the analytic hierarchy process (AHP) for evaluating it. The BSC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal process, and learning and growth), and performance indicators are selected for each perspective. An AHP approach is then proposed in order to determine weight. The results provide guidance to universities regarding strategies for improving department performance.

The Analytical Hierarchy Process (AHP) approach and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method are two methods that are commonly used to handle multicriteria problems. The AHP technique uses a matrix of pairwise comparisons and a hierarchical approach to criteria in order to obtain the final criteria weights. In contrast, the TOPSIS approach incorporates the concepts of proximity to the ideal solution and preference. Next, TOPSIS uses the previously established criterion weights to compute each option's relative closeness score to the ideal answer. In order to determine how effectively the AHP and TOPSIS methodologies complement one another, this study aims to assess the protocols and underlying assumptions of the two approaches. When decision makers are aware of the benefits and drawbacks of each approach, they may choose the best course of action from a mix of the two. The results of the study indicate that the process may be streamlined, subjectivity can be reduced, and criterion weights can be stabilized by combining the AHP and TOPSIS approaches.The Analytical Hierarchy Process (AHP) approach and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method are two methods that are commonly used to handle multicriteria problems. The AHP technique uses a matrix of pairwise comparisons and a hierarchical approach to criteria in order to obtain the final criteria weights. In contrast, the TOPSIS approach incorporates the concepts of proximity to the ideal solution and preference. Next, TOPSIS uses the previously established criterion weights to compute each option's relative closeness score to the ideal answer. In order to determine how effectively the AHP and TOPSIS methodologies complement one another, this study aims to assess the protocols and underlying assumptions of the two approaches. When decision makers are aware of the benefits and drawbacks of each approach, they may choose the best course of action from a mix of the two. The results of the study indicate that the process may be streamlined, subjectivity can be reduced, and criterion weights can be stabilized by combining the AHP and TOPSIS approaches.

Power cable is one of the most important components in energy internet and energy system integration. To provide a decision support for maintenance of power cable, this paper proposes a method for comprehensive operation condition assessment of power cable based on fuzzy analytic hierarchy process and set pair analysis approach. An evaluation indicator system of cable condition was established, and the operation state was divided into four ranks, including normal, attention, abnormal and serious state. Then the fuzzy analytic hierarchy process and set pair analysis approach were introduced for the condition assessment of power cable. Operation condition assessment of power cable was conducted with the proposed method through an actual example, and the result corresponds well with the actual situation.

The analytic hierarchy process (AHP) approach has been widely applied in multiattribute decision-making situations since being introduced in 1980. It has been believed that the AHP is appropriate to assist decision-making problems characterized by a number of interrelated factors. Recently, a derivative of the AHP, the so-called fuzzy AHP, has been developed by mixing AHP with a fuzzy set theory. This new method increasingly extends its application areas in construction management. Despite extensive use of the fuzzy AHP, little research has been conducted as to the comparability of calculated priority weight vectors by the fuzzy AHP with those by the traditional AHP. Therefore, this paper mainly focuses on the comparison of two AHP approaches by investigating weight vectors produced from a real case study. From the previous studies, four different fuzzy AHP approaches are prepared by applying different fuzzy fundamental scales and weight aggregations, and are tested to identify which method produc...

In process systems engineering, one may encounter design problems that require choosing one among the predefined set of alternatives in a complex decision making environment. In most cases, the selection process involves multiple conflicting criteria that can be either qualitative or quantitative in nature. The use of multiple attribute decision making (MADM) technique thus has been proven effective in providing a transparent, systematic and rational approach to problem solving. In this study, a variant of the widely used MADM technique known as the Analytic Hierarchy Process (AHP) has been developed and applied for the selection of low-carbon technologies. This approach enables the selection of optimal alternative by incorporating not only the judgment of domain experts but also their degree of confidence through the use of fuzzy numbers for the pairwise comparison ratios in the AHP decision framework. The proposed fuzzy AHP then determines a set of crisp weights that maximizes the degree of consistency of all judgments taken together. The said approach can also derive crisp weights from an incomplete fuzzy pairwise comparative judgment matrix (PCJM). To illustrate the technique, a case study involving comparison of electricity storage technologies for renewable energy systems is considered. This selection problem is important due to the intermittent nature of many forms of renewable energy, which thus require cost-effective auxiliary energy storage subsystems for successful deployment.

Mountainous watershed faces significant challenges, such as water scarcity during the summer and land degradation in the monsoon season. In these watersheds, water harvesting and conservation are essential for promoting ecological harmony and achieving sustainable development goals. Moreover, the absence of a canal system and the depletion of tube wells exacerbate the situation in hot summers. To address these issues, sub-surface dams offer an effective solution by conserving underground water with minimal evaporation loss, low maintenance costs, easy construction, reduced contamination risks, and no threat to human life. This paper compared multi-criteria decision-making approaches (analytical hierarchy process and fuzzy logic) for proposing sites for constructing the sub-surface dam through surface parameters in the Morni watershed, India. For the selection of parameters, maturity assessment has been performed. The parameters including slope, fault, geology, and land use/land cover were considered as constraints used for site identification, and then comparison was made based on conditional parameters such as climate (annual rainfall), geology (distance from fault, geomorphology), hydrogeology (slope, stream order), and socio-economic (distance from road, distance from agricultural land, distance from village) parameters. Three decision-making techniques were employed: Boolean Algorithm, Analytical hierarchy process, and Fuzzy logic. In the initial step, 1430 sites were identified as suitable for construction using Boolean approach. The overlayed analytical hierarchy process and Boolean Algorithm approach found 68 sites, whereas the overlayed Fuzzy and Boolean algorithm approach found 28 sites appropriate for the construction of sub-surface dam in the research area. The best sites proposed based on their presence on stream order greater than or equal to 3, which becomes 15 sites by the analytical hierarchy process and 12 sites in the Fuzzy approach. The field and online Google map survey were used to validate the proposed sites based on distance from the existing sub-surface dams. From comparing the distance, the Fuzzy approach was found to be more appropriate than the analytical hierarchy process approach for the selection of sub-surface dam construction sites in mountainous watersheds.

The development in information technology provides a lot of convenience for everyone. Academy of Information Management and Computer (AIMC) students of the fourth semester, implementing the Job Training must specify the type of programming that will be used as a Final Project Report. The study assessed five types of programming language by using the approach of Analytical Hierarchy Process (AHP) to obtain information on the programming language that has the quality or better rating than 5 programming languages is based on the parameters. Analytical Hierarchy Process (AHP) is one way in determining or making a decision that are multi-criteria or multi-objective such as choosing the programming language for the Student Information Management at the Academy of Information Management and Computer (AIMC). Programming language based on five criteria consisting of Clarity, Simplicity, and unity; Orthogonality; Fairness for Applications; Supports Abstraction; Environment Program; and Portability Program.

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In order to make sure that structures adhere to the necessary norms and laws, it is essential to evaluate the quality of building construction. According to several frameworks, the quality of a building’s construction can be assessed in a number of different circumstances. In order to provide building projects with excellent quality and competitive pricing, hard work is required. To raise the standard of building construction, a model was created. The goal of this project is to provide a model for raising building construction quality. This study used the analytical hierarchy process (AHP) technique, which includes the determination of consistency ratios, pairwise comparisons, normalization, and a comparison matrix. The difficulty of implementing quality was determined for each task using the AHP technique. This was multiplied by the quality factor to obtain the final quality level. The model was tested in three different situations, and it was discovered that quality application is challenging across all building operations. Using a quality evaluation technique, this study assessed the building construction quality in Saudi Arabia. Additionally, a pairwise comparison, normalization, and a comparison matrix were used to calculate the consistency ratio. The ultimate quality level was determined by multiplying the difficulty level for each activity, as determined using the AHP approach, by the quality factor. This study will therefore be helpful to those involved in Saudi Arabian building, including architects, engineers, quality experts, and others. Additionally, the tool aids in the decision making process for enhancing construction quality.

Cyber resilient is the ability to prepare for, respond to and recover from cyber attacks. Cyber resilient has emerged over the past few years because traditional cybersecurity measures are no longer enough to protect organizations from the spate of persistent attacks. It helps an organization protect against cyber risks, defend against and limit the severity of attacks, and ensure its continued survival despite an attack.The cyber resilient capability maturity model is a very important element within an effective in digital supply chain. The maturity model has 6 components: identify, protect, detect, respond, recover and continuity which affect the cybersecurity of the organization. To measure the maturity level needs a holistic approach. Therefore, the analytic hierarchy process (AHP) approach which allows both multi-criteria and simultaneous evaluation. Generally, the factors affecting cyber resilient in digital supply chain have non-physical structures. Therefore, the real problem can be represented in a better way by using fuzzy numbers instead of numbers to evaluate these factors. In this study, a fuzzy AHP approach is proposed to determine the cyber resilient capability maturity level in digital supply chain. The proposed method is applied in a real SMEs company. In the application, factors causing are weighted with triangular fuzzy numbers in pairwise comparisons. The result indicate that the weight factors from comparing the relationship of all factors put the importance of identify factors first, followed by protect, detect, respond, recover and continuity respectively.