Analytic Hierarchy Process Analysis Research Articles

Developing a WELL building model for office environments.

Many reported cases of occupants in modern office buildings suffer from severe health risks, negative impacts on well-being, and productivity loss. Existing building standards often prioritize energy performance and green environments over human sustainability. Moreover, office buildings have a distinct group of occupants that require extra attention. Hence, the study aims to develop a WELL building model specifically for office buildings to support occupants' well-being, health, and productivity (i.e., WELL). To achieve that objective, this study developed a list of physical indoor building features through a systematic literature review and semi-structured interviews. Then, the features were inserted into a survey and sent to office building occupants and built environment professionals. The collected data was analyzed using the analytic hierarchy process (AHP) and confirmatory factor analysis (CFA). The findings suggest twelve new features applicable for supporting WELL in office buildings: workspace privacy, sufficient space, office layout, cleanliness, efficiency in building services, individual control, building automation system, Information Technology (IT) infrastructure, Wireless Fidelity (WiFi) risk, security system, safety at parking lots, and safe design. Also, three new concepts for supporting WELL in office buildings were established: office space, building services and maintenance, and smart systems. The new concepts and features lay a foundation for designing office buildings that comprehensively target occupants' WELL. Finally, this study is unique as it accentuates the development of a WELL building model specifically for office buildings.

Quantitative Morphometric Analysis and Prioritization of Sub-Watersheds for Soil Erosion Susceptibility: A Comparison between Fuzzy Analytical Hierarchy Process and Compound Parameter Analysis Method

Quantitative Morphometric Analysis and Prioritization of Sub-Watersheds for Soil Erosion Susceptibility: A Comparison between Fuzzy Analytical Hierarchy Process and Compound Parameter Analysis Method

Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques

Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques

Essential strategies for embracing Building Information Modeling (BIM) in public investment projects: a case study in Vietnam

Building Information Modelling (BIM) has been accepted as an advanced technology in the construction sector in many developed nations due to its numerous benefits. However, its applications in developing countries, including Vietnam are limited. In particular, the effective application of BIM is largely dependent on the implementation strategies of various countries and organizations due to the differences in legal systems, finances, human resources, and so on. Therefore, this study aims to analyze and proposes implementation strategies for embracing BIM in public investment projects of a government organization, utilizing a combination of Strength – Weak – Opportunities – Threat (SWOT) and Analytic Hierarchy Process (AHP) tools to evaluate available resources, capabilities as well as upcoming obstacles. The data used in this research were identified by three different methods including online-survey, face-to-face interviews, and a review of previous studies. As a result, the study clarified and ranked factors in order to assess the level of influence among those factors in each category within SWOT matrix. Subsequently, five BIM implementation strategies with specific solutions for public investment projects of the organization were proposed based on the SWOT – AHP analysis.

Formulasi Strategi Pemasaran Sebagai Upaya Meningkatkan Penjualan Pada Masa Pandemi Di Hp Mart Kota Sampang

The problems identified in this study began with the declining level of sales as a result of the COVID-19 pandemic. This condition is contradictory, during the pandemic all activities are carried out online. Should require gadgets such as mobile phones to support daily activities. This study intends to design a marketing strategy formulation through a SWOT and AHP analysis approach. This is done so that marketing strategies can be found that can increase sales of HP Mart stores. Research resource persons were determined by purposive sampling related to the management of the Hp Mart business. The results of the SWOT analysis obtained the IFAS value of 2 while the EFAS value of 1,02. Thus, if drawn using a SWOT Analysis Diagram, HP Mart is in a very profitable situation. The result of choosing a competitive strategy using the Analytical Hierarchy Process (AHP) is to utilize its strengths, namely a strategic location, many HP Mart branches, a fairly complete cellphone and cellphone accessories store, good store security, good service to customers, as well as relationships with customers. good distributors to minimize the declining purchasing power of the people.

The development of an intermodal transportation area in Banyuwangi using the transit-oriented development approach

Public transportation is one of the means of transport people use to move from one city to another. This makes the integration of transportation in an urban area very necessary. This study discusses the concept of developing an integrated transportation area. This research was conducted in Ketapang Village, Kalipuro District, and Banyuwangi Regency. This area is very strategic if developed into a transportation integration area. This is because this area has a train station and port crossing, and a type A terminal will be built there. However, considering the current condition of the area, this potential has not been appropriately developed. This study aims to determine the suitability of the existing conditions with the concept of transit-oriented development and to determine development priorities that can be applied in this area using an analytical hierarchy process analysis (AHP) involving relevant agencies and stakeholders. The results of this study are the suitability of the existing field conditions with the concept of transit-oriented development and the arrangement of development priorities that can be applied to this area following the concept of transit-oriented development.

Blockchain Applications in Renewable Energy: Analytic Hierarchy Process-Based Survey Results

Abstract The urgency to reach net-zero emissions until 2050 has created a vast interest in innovative technologies for renewable energy sector. At the same time the need for trusty and unfailing solutions will rise considering the increasing amount of decentralized and decarbonized energy systems. It has previously been described in the literature that the aforementioned characteristics could be combined by blockchain technology. Therefore, this study focuses on the practical side – the opinion of industry experts about the use of blockchain in renewable energy. By using SWOT, PESTLE and analytic hierarchy process analysis, the goal of this study is to develop a methodology for the selection of the most appropriate blockchain applications in renewable energy and to identify and evaluate the possible types of use considering socio-economic, political and legal, technological and environmental factors. The results of this study highlight the important influence of political, legal and technological factors like involvement of government institutions and possible attacks to the system, but considers the economic factors as the least significant for the introduction and use of blockchain technology in the renewable energy sector. The most promising use cases for blockchain would be associated with reliable and immutable certificates of origin for renewable energy and use in smart grid (including smart metering), smart homes and relevant Internet of Things applications. The use of crypto-assets and initial coin offerings for renewable energy development should be viewed with precaution and willingness to inform and educate considering social factors like public opinion and societies’ knowledge on crypto-assets.

The Construction and Concept Validation of Indian Financial Market Composite Risk Index (IFM: CRI): A Vibrant Risk Indicator to Retail Investors

The financial market volatility has been a major interest to all the stakeholders of the market especially to the retail investors post 2020. In this backdrop, the study is focused on constructing a Composite Risk Index (CRI) for the Indian Financial Market and examining the various methods of weighting as well as types of volatility capture in the construction of the Financial Market Composite Risk Index. The study intends on giving its contribution on the methodological portion of the derivation of appropriate weights to each segment of financial market. The study is based on the daily price series from 1st January 2020 to 31st March 2023. The research develops nine (09) different Composite Risk Index based on the types of volatility capture [Standard Deviation (SD), Autoregressive Conditional Heteroskedastic (ARCH), Generalised Autoregressive Conditional Heteroskedastic (GARCH)] and method of deriving the weights [Principal Component Analysis (PCA), Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA)] of various sub markets [ Equity, Commodity and Forex] and its segments [Spot and Derivatives]. The inter and intra evaluation of nine CRI are carried out with the help of nonparametric statistical tool Kruskal Wallis Test, further the pairwise comparation is also preformed to analyze the homogeneity between the types of volatility capture and method of deriving the weights. The results reveal that, GARCH based DEA Composite Risk Index is better exhibiting the volatility of the Indian Financial Markets compared to their counterpart CRI and also having a high co-movement with India VIX.

Analytical Hierarchy Process and Data Envelopment Analysis for Assessment of Renewable Energy Sources

Analytical Hierarchy Process and Data Envelopment Analysis for Assessment of Renewable Energy Sources

Improvement of Disaster Prevention Technology Guidance

In recent times, the strengthening of government safety regulations, such as the implementation of the Serious Accidents Punishment Act, has not succeeded in reducing industrial accidents at small and medium-sized worksites, specifically in the construction sector. The comprehensive amendment of the 2020 Industrial Safety and Health Act brought about considerable changes after 30 years, thereby impacting the safety measures of construction sites. Although the implementation of construction accident prevention technology guidance is mandated, it has not been effectively and practically applied. This study used the analytic hierarchy process analysis, considering quantitative and qualitative aspects, to recommend important factors for enhancing the construction accident prevention technology guidance system. It aims to improve safety management at small and medium-sized construction sites by emphasizing institutional, economic, company-specific, and facility-related factors. The findings of this study can help evolve strategies to improve the construction disaster prevention technology guidance system by providing essential insights and effective requirements that need to be prioritized.

AHP (Analytic Hierarchy Process) Analysis of Promotion Factors in Police Organization Focusing on the perceptions of Senior Superintendent

AHP (Analytic Hierarchy Process) Analysis of Promotion Factors in Police Organization Focusing on the perceptions of Senior Superintendent

PRIORITY STRATEGIES TO CREATE AN ENVIRONMENTALLY FRIENDLY BATIK IN TRUSMI VILLAGE

Trusmi village is very famous for batik production, which is manufactured by industrial and small and medium enterprises (SMEs) at various scales. Batik artisans in Trusmi still practice traditional batik technique, which have been passed down from generation to generation for decades. Materials such as mori cloth, wax, and textile dyes, are readily available and sold in Trusmi village. Environmental and health impacts can arise from the production process of stamped and printed batik fabric, which involves the use of many chemicals and exposure to heat in the working environment. The use of chemical dyes in the fabric dyeing process, where craftsmen manually perform the coloring, does not adhere to safety and health. Furthermore, the remaining dye waste is disposed of into the environment without undergoing proper processing. The research aims to address the issue of batik production process waste in Trusmi village, Cirebon, West Java Province, using the root cause analysis (RCA) method. The article presents a root cause analysis of environmental impacts using RCA and provides advice on minimizing environmental effects at the most optimal cost. Based on the result of the research using the RCA method, the most critical strategy identified for achieving environmentally friendly batik production, as determined by the Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) analysis is to increase the awareness of batik producers.

AHP 분석기법을 활용한 산지 태양광 발전시설 점검기준 개발

Recently, mountain photovoltaic power stations have caused sediment-related disasters, such as soil erosion and landslides. Efforts to mitigate these issues include strengthening installation slope standards and restructuring systems through mandatory inspections. In response to these challenges, this study aimed to select inspection items for the ongoing management of mountain photovoltaic power stations, and to establish standards for their inspection and overall management. Initially, inspection items for mountain photovoltaic power stations were categorized into three major groups, eight intermediate categories, 17 minor categories, and 58 detailed categories based on spatial criteria. Using the Analytic Hierarchy Process(AHP) analysis method to calculate the weight for each item, 'slope' was found to directly influence mountain landslide disasters, and items related to 'erosion' and 'drainage facilities' carried a high weight. Subsequently, a checklist was developed based on the weight of each item, carrying out on-site inspections. A clear variation in scores depending on the management status was confirmed.

PROPOSED STRATEGY OF MRO OPTIMIZATION IN COST-EFFECTIVE PROGRAM BY USING KEPNER-TREGOE ANALYSIS AND ANALYTICAL HIERARCHY PROCESS (AHP)

ADC Company is a global company that operates since the year 2000 that has an issue with Maintenance Repair and Operations (MRO) in its system. The current performance and objectives show that they need to take a look at something that can be done possibly and take the initiative that can be improving the company’s performance, especially in this kind of situation. The current setup of Maintenance Repair and Operations or MRO of this company has shown the value that this company has 43% Non-Moving Spare Part (PNM-SP) Material value that is excessive and has turned into a particular issue for the Company, which is supposed to be their fresh money that can be operated further. This inefficient inventory due to significant Potential Non-Moving Spare Part (PNM-SP) Materials all across the years has resulted in the inefficiency of Operational Expenditures (OPEX) which costs the company unused/ never used bought materials associated with handling and maintaining costs produced by those (PNM-SP) materials. The higher the inventory value and the remaining items/materials that cannot be utilized, then the worse the inventory performance reflects. Therefore, the business problem could be identified and further transformed into a problem statement. The objectives of this research are to overcome or reduce the volume of Potential Non-Moving Spare parts (PNM-SP) Materials in our organization, and what tactics or alternative solutions exist to avoid massive Potential Non-Moving Spare parts (PNM-SP) Materials, along with the precautions that should be taken in the event happens in the future, by using Kepner Tregoe Analysis and Analytical Hierarchy Process (AHP). As the result, observed there are 2 quick win actions that can be initiated, those are “Review Item Criticality and removal follow-up” and “Review the calculation and Quantity” consecutively, consistently selected by both Analytical Hierarchy Process (AHP) and Kepner-Tregoe Analysis that has potential effect for the company to sustain and growing up further.

Coffee agrotourism development strategy in Belok Sidan Village, Petang District, Badung Regency

The study was aimed to determine the strategy for developing coffee agro-tourism in Belok Village, Petang District, Badung Regency. The method used is a qualitative method with interviews, which are then analyzed using SWOT analysis by evaluating strengths and weaknesses as internal factors, opportunities and threats as external factors, and using the AHP (Analytical Hierarchy Process) method to calculate the priority weight of the criteria considered. The support from the private sector in developing tourism villages plays a significant role in the development of Belok Sidan Village (strength), the lack of supporting facilities for agro-tourism activities (weakness), the number of tourism workers returning to the village and entrepreneurial factors through MSMEs can play a role in diversifying people's livelihoods (opportunity). Natural disasters/disorders (threats) are a significant factor in developing coffee plantation-based agro-tourism in Belok Sidan Village. Belok Sidan village coffee agro-tourism has the potential as a coffee farming area that can support the economic structure of Badung Regency. Based on the IFAS and EFAS matrix score analysis, the alternative strate-gies used in developing Belok Sidan village coffee agrotourism are developing creative economy businesses, agrotourism digitalization, and Agro Techno Park. According to the AHP analysis results, the Agro Techno Park development is the priority strategy.

A system dynamics model and analytical hierarchy process: an integrated approach for achieving sustainable solid waste management system.

Waste management in low-income countries faces challenges with an average cost of $35/ton approximately 51% collection efficiency. Despite investments in treatment, processing, and recycling, the system remains unsustainable owing to poor planning and policies. The current analysis of Lahore's solid waste management (SWM) system, selected as a major city of a low-income country as a case study, focuses on collection efficiency and waste generation. However, it neglects the complex and dynamic nature of SWM systems. To capture the complexities and dynamic nature of the SWM system, system dynamic (SD) modeling is proposed for its effectiveness in modeling complex and dynamic systems. Unlike previous attempts at SD modeling that mostly consider only some components of the SWM system with varying success, this study attempts to use a holistic approach by considering all aspects of an integrated SWM system. In addition, this study explores different financial and management policies, highlighting the weaknesses of the system through a quantitative comparison of three scenarios: (1) business-as-usual (BAU) which considers the current trends in waste generation and practices of collection and disposal to landfill, (2) waste treatment system (WTS) in which various waste treatment systems are included to reduce burden on landfill, and (3) introduction of user fee with awareness campaigns (UFAC) which encourages community participation towards reduction in waste generation and financially supports the SWM. All three scenarios use four indices: waste generation, waste ending up in landfill, uncollected waste, and annual budget deficit as performance indices. These scenarios were simulated over a 25-year period using an SD model, covering all six components of the SWM system. The BAU scenario shows a 16% increase in waste generation, a 173% increase in landfill waste, an 11% reduction in uncollected waste, and a 64% increase in the budget deficit over the simulation period, indicating an unsustainable SWM system. The WTS scenario exhibits a 16% increase in waste generation, a 155% increase in landfill waste, an 11% reduction in uncollected waste, and a 61% increase in the budget deficit, showing a significant reduction in landfill waste and a slight reduction in deficit but it remains unsustainable. The UFAC scenario, however, results in a 40% reduction in waste generation, a 67% decrease in uncollected waste, an 8% decrease in landfill waste, and a 59% decrease in the budget deficit. These results demonstrate that instituting user fees for SWM services and incentivizing community participation towards waste reduction and segregation can make the SWM system of Lahore sustainable. This SD model provides insights for policymakers, aiding what-if analyses and long/short-term waste management plans for metropolitan cities in low-income countries. To validate the sustainability judgments based on performance indices, the analytical hierarchy process (AHP), a multi-criteria decision analysis (MCDA) tool commonly used for ranking policy decisions based on competing criteria, was employed. It considered the same four criteria as in the SD model. The results of the AHP analysis aligned with those of the SD model, ranking the UFAC scenario as the most sustainable option.

Developing a Model Proposal to Evaluate the Authenticity of Traditional Housing; Malatya Case Study

Anatolia has been used as a settlement area by many civilizations throughout history due to its geopolitical and geographical features. Traditional houses in Anatolia convey the thousands of years of culture and identity of the region where they are located, with their unique architectural style. In this respect, traditional houses appear as the most important cultural heritage values that convey information such as the social, cultural, economic and architectural style of the period. Historical textures have been in change and transformation in the Malatya region, as in every region of Anatolia. However, Malatya has largely lost its traditional houses and texture due to many reasons such as rapid urbanization, unconsciousness, rent, and the destructive effect of time. In this study, which was prepared by addressing this problem, Fuzzy Logic and AHP (Analytical Hierarchy Process) analysis system was used in order to evaluate the authenticity of civil architectural examples located in traditional tissue pieces in the urban area of Malatya and to protect these structures. Thus, it is aimed to develop an authenticity assessment method together with the experts of the subject (conservation experts, architectural historians, art historians). It is aimed to determine the authenticity of the buildings numerically and proportionally with the authenticity evaluation model developed with a systematic setup. Ahmet Kökçü House, located in Yakınca Neighborhood, was chosen as the study area due to reasons such as the fact that it largely preserved its traditional texture as a field study and faced extinction as a result of the rapid urbanization of Malatya's central city wall reaching the border of Yeşilyurt district. With the authenticity assessment model developed in this context, the authenticity of the building was determined by experts and suggestions were made for the preservation of the building.

Prioritizing E-service Quality Dimensions in E-tailing: Application of the Analytic Hierarchy Process

The objective of this study is to prioritize the e-service quality dimensions in e-tailing that attract and retain customers which help e-tailers attain a competitive advantage in the market. Measurement and improvement of electronic service quality is of paramount importance for e-tailers. The Analytical Hierarchy Process (AHP) is used to rank the identified e-service quality dimensions in this research. The eight main dimensions in e-tailing identified through literature review were ranked using the AHP method. Delphi technique was used to obtain data from 10 experts who are consultants in the area of e-tailing to conduct AHP analysis. The results prioritized the e-service quality dimensions and their sub-factors and the results also revealed that privacy and security, customer service and system availability are the most important dimensions of e-service quality in e-tailing sector. The research’s conclusions aided in understanding the various priorities and related weights of the various aspects of e-service quality that were ultimately rated according to the weights. E-tailers can take necessary steps to monitor and improve performance on those dimensions that ultimately result in customer happiness, loyalty, and retention by prioritizing the service quality dimensions.

Identification of groundwater potential zones using integrated GIS-based analytical hierarchy process and multicriteria decision analysis methods in Jedeb watershed, Ethiopia

Identification of groundwater potential zones using integrated GIS-based analytical hierarchy process and multicriteria decision analysis methods in Jedeb watershed, Ethiopia

The THE APPLICATION OF ANALYTICAL HIERARCHY PROCESS (AHP) TO DETERMINE BEST CITY FOR TEA FACTORY OPENING

PT Surya Sentosa Sejahtera (PT SSS), a leading tea manufacturer in Indonesia, faces a pressing urgency to reach consumers nationwide in a cost-effective manner within the booming tea industry. The current distribution channel, originating from their facility located in Medan, North Sumatera, incurs substantial delivery costs for destinations outside Sumatra. These high logistic expenses, about fifty percent more than ideal, negatively impact the company’s profit margins and hinder expansion. In response, the company intends to construct a new facility in a more strategic location in 2025, but the optimal factory location remains uncertain. With the core objective of enhancing logistic efficiency, the study centers on utilizing the Analytical Hierarchy Process (AHP) as one of the Multi-Criteria Decision Making (MCDM) method to identify the most suitable location for establishing tea plant. The AHP method is developed through a literature review and brainstorming with five key employees who are involved in the project. Four-critical criteria are identified, consisting a total of twelve sub-criteria, leading to five alternative locations. In the criteria level, the AHP analysis indicates that Organizational Capability carries the highest weight, followed by Location, Operational Requirement and Financial Viability. At the sub-criteria level, Partnership Readiness emerges as the most significant, followed by Manufacturing Supervisor Availability, Prospective Area and Easiness to Build Distribution Network. At the alternative level, Surabaya is the most preferred site, followed by Bogor, Lampung, Batam and Makassar.