Analytic Hierarchy Process Methodology Research Articles

Land management criteria for green building certification systems in Turkey.

The issue of energy holds significant implications for nations heavily reliant on it, such as Turkey. In recent times, legislative measures, including the Energy Efficiency Law and the Energy Performance Regulation of Buildings, have been enacted in Turkey. Despite the implementation of the Energy Performance Certificate for buildings, the absence of a national green building certification system remains conspicuous. To address this gap, an examination of globally recognized certification systems and relevant components concerning land management, pertinent to Turkey's context, was undertaken. This involved a comprehensive literature review to establish the foundation for survey inquiries. Subsequently, interviews were conducted with subject matter experts in Turkey to glean valuable insights and perspectives. Utilizing the Analytic Hierarchy Process (AHP) methodology, the responses from these experts were collated and analyzed to delineate the criteria and sub-criteria germane to land management. This study delves into the discourse surrounding the establishment of a green building certification system within Turkey, specifically within the domain of land management, a sector of paramount importance, particularly within the purview of survey engineering. Through a structured survey, the criteria pertinent to land management were identified and subjected to rigorous analysis. Furthermore, the sub-criteria within the land management category were delineated, and their respective weights were computed, thereby providing a comprehensive framework for the envisioned green building certification system in Turkey.

Evaluation of disaster preparedness in educational infrastructure of remote geographies using Analytical Hierarchy process

This research paper assesses the disaster preparedness of educational infrastructure in Central Kashmir, employing the Analytic Hierarchy Process (AHP) methodology. Its primary objective is to gauge the preparedness level of educational institutions and identify crucial factors influencing their capacity to effectively mitigate and respond to disasters. The study utilized a sample of 620 institutions, comprising 340 government and 280 private institutions, with 1240 respondents selected via stratified random sampling across Budgam, Srinagar, and Ganderbal areas of Central Kashmir. Results reveal that 73 % of the surveyed institutions in the region lack preparedness, while only 27 % demonstrate >50 < 100 % preparedness for handling multiple disaster scenarios. Notably, private institutions exhibit significantly higher individual disaster preparedness compared to their counterparts in government institutions. Additionally, the study identifies earthquakes as the primary concern, with fires, floods, and landslides perceived to have a comparatively lesser impact on individuals’ perception and awareness. These findings offer critical insights into the gaps and challenges within disaster preparedness in remote areas such as the Valley of Kashmir. This paper serves as a foundation for crafting targeted strategies aimed at bolstering the resilience of educational infrastructure throughout the region.

Navigating Digitalization: AHP Insights for SMEs' Strategic Transformation

The digital revolution presents Small and Medium Enterprises with potential and danger in the dynamic world of modern business. However, several substantial obstacles are in the way of digitalization, making it difficult to move forward. This study sets out to discover and remove these hurdles to fully realize the potential of digital transformation for small and medium-sized enterprises (SMEs). It looks through the Analytical Hierarchy Process (AHP) prism. Our research identifies five types of barriers, each presenting different hurdles for digitalization: organizational, technological and infrastructure, legal, social-cultural, and strategic. We investigate several options in response, such as government regulations, technology acquisition, management support, cybersecurity, and training. Using the AHP methodology, we give each alternative a normalized value and find that management support is the most critical, closely followed by cybersecurity, government regulations, training, and technology acquisition. With these discernments, SMEs can deliberately arrange their endeavours to eliminate obstacles, clearing the path for triumphant digital transformation and sustained expansion.

The collaborative approaches of the knowledge-based performance management system and lean six sigma to improve contractor productivity and safety performances

Purpose This paper aims to design a hybrid model of knowledge-based performance management system (KBPMS) for facilitating Lean Six-Sigma (L6s) application to increase contractor productivity without compromising human safety in Indonesian upstream oil field operations that manage ageing and life extension (ALE) facilities. Design/methodology/approach The research design applies a pragmatic paradigm by employing action research strategy with qualitative-quantitative methodology involving 385 of 1,533 workers. The KBPMS-L6s conceptual framework is developed and enriched with the Analytical Hierarchy Process (AHP) to prioritize fit-for-purpose Key Performance Indicators. The application of L6s with Human Performance Modes analysis is used to provide a statistical baseline approach for pre-assessment of the contractor’s organizational capabilities. A comprehensive literature review is given for the main pillars of the contextual framework. Findings The KBPMS-L6s concept has given an improved hierarchy for strategic and operational levels to achieve a performance benchmark to manage ALE facilities in Indonesian upstream oil field operations. To increase quality management practices in managing ALE facilities, the L6s application requires an assessment of the organizational capability of contractors and an analysis of Human Performance Modes (HPM) to identify levels of construction workers’ productivity based on human competency and safety awareness that have never been done in this field. Research limitations/implications The action research will only focus on the contractors’ productivity and safety performances that are managed by infrastructure maintenance programs for managing integrity of ALE facilities in Indonesian upstream of oil field operations. Future research could go toward validating this approach in other sectors. Practical implications This paper discusses the implications of developing the hybrid KBPMS- L6s enriched with AHP methodology and the application of HPM analysis to achieve a 14% reduction in inefficient working time, a 28% reduction in supervision costs, a 15% reduction in schedule completion delays, and a 78% reduction in safety incident rates of Total Recordable Incident Rate (TRIR), Days Away Restricted or Job Transfer (DART) and Motor Vehicle Crash (MVC), as evidence of achieving fit-for-purpose KPIs with safer, better, faster, and at lower costs. Social implications This paper does not discuss social implications Originality/value This paper successfully demonstrates a novel use of Knowledge-Based system with the integration AHP and HPM analysis to develop a hybrid KBPMS-L6s concept that successfully increases contractor productivity without compromising human safety performance while implementing ALE facility infrastructure maintenance program in upstream oil field operations.

Identifying the Optimal Valuation Model for Maritime Data Assets with the Analytic Hierarchy Process (AHP)

Data are becoming the most important factor in the development of the socio-economy, and data can be reevaluated as the owner’s valuable asset, which can increase the owner’s value. Therefore, each company is fiercely competing to secure data. Even in the marine field, maritime data are being produced exponentially, but it is difficult to expect more value creation because data are only stored rather than being used. This study used the analytic hierarchy process (AHP) methodology to select a suitable valuation model necessary to discover new values for maritime data. As a result of AHP analysis of 33 experts based on the stratified factors extracted from previous studies and expert opinions, the market approach (A2) was found to be the most suitable model. In addition, the most important factors to consider when selecting a valuation model were in the order of the characteristics of the maritime data (M1), the features of the maritime data market (M2), and the features of the maritime data valuation model (M3). The potential impact of this implementation could contribute to the establishment of an intelligent technology market by estimating the value of data and developing a platform for maritime data trading, allowing for more efficient data sharing and utilization by maritime autonomous surface ships (MASSs).

Bloodmobile location selection for resilient blood supply chain: a novel spherical fuzzy AHP-integrated spherical fuzzy COPRAS methodology

PurposeBlood availability is critical for saving lives in various healthcare services. Ensuring blood availability can only be achieved through efficient management of the blood supply chain (BSC). A key component of the BSC is bloodmobiles, which are responsible for a significant portion of blood donation collections. The most crucial factor affecting the efficacy of bloodmobiles is their location selection. Therefore, detailed decision analyses are essential for the location selection of bloodmobiles. This study proposes a comprehensive approach to bloodmobile location selection for resilient BSCs.Design/methodology/approachThis study provides a novel integration of the spherical fuzzy analytical hierarchy process (SF-AHP) and spherical fuzzy complex proportional assessment (SF-COPRAS) methodologies. In this framework, the criteria are weighted using SF-AHP. The alternatives are then evaluated using SF-COPRAS, employing criteria weights obtained from SF-AHP without defuzzification.FindingsThe results show that supply conditions and resilience are the most important criteria for a bloodmobile location selection. Additionally, the validation analyses confirm the stability of the solution.Practical implicationsThis study presents several managerial implications that can aid mid-level managers in the BSC during the decision-making process for bloodmobile location selection. The critical factors revealed, along with their importance in choosing bloodmobile locations, serve as a comprehensive guide. Additionally, the framework proposed in this study offers decision-makers (DMs) an effective method for ranking potential bloodmobile locations.Originality/valueThis study presents the first application of multi-criteria decision-making (MCDM) for bloodmobile location selection. In this manner, several aspects of bloodmobile location selection are considered for the first time in the existing literature. Furthermore, from the methodological aspect, this study provides a novel SF-AHP-integrated SF-COPRAS methodology.

Choice modelling of eCooking adoption by households in Ghana

ABSTRACT The use of electric cooking appliances, also referred to as eCooking devices, presents a practical and sustainable solution for achieving universal access to clean cooking facilities by 2030. A choice modelling analysis on the factors that influence the selection of an eCooker in Ghana has been conducted to facilitate market expansion for organisations seeking to offer clean cooking services. The study utilised Analytical Hierarchy Process (AHP), Fuzzy-TOPSIS, and Data Envelopment Analysis (DEA) methodologies to assess and rank electric cookers based on crucial factors such as kWh consumption rate, cooking efficiency, affordability, time-saving features, ergonomics, space utilisation capabilities, compatibility with cookware types, ease of cleaning and maintenance procedures, accessibility, among others. The rate of consumption was identified as the most critical factor, emphasising the significance of energy efficiency in the decision-making process. The analysis showed that the induction stove was optimal, considering both Fuzzy-TOPSIS and DEA evaluations. Although the induction stove may consume a considerable amount of electricity, its efficiency, performance, and other attributes make it the preferred choice. This study presents a systematic approach to assessing and ranking electric cooking stoves in Ghana, offering valuable insights for both consumers and policymakers.

Assessing the Downstream and Upstream Preferences of Stakeholders for Sustainability Attributes in the Tomato Value Chain

Effectively implementing innovations in agri-food supply chains (AFSCs) is contingent upon stakeholders’ preferences. Using the analytic hierarchy process (AHP), the objective of this research was to ascertain the degree of willingness among farmers, consumers, and various stakeholders (including processing companies, restaurants, and retailers) in the tomato supply chain of Catalonia (Spain) to shorten the chain and promote local procurement. Based on a set of social, economic, and environmental criteria encompassing sustainability in AFSCs, the results showed that economic factors, particularly profitability and affordability, were the key driving factors in the decisions of stakeholders. However, the considerable importance placed on strategic attributes, including local production, environmental sustainability, and product quality, particularly among consumers, seemed to present a chance to advocate for sustainable alternatives, such as short food supply chains (SFSCs). The AHP methodology facilitates differentiation with respect to the criteria of the decision-making process and serves as a valuable instrument for evaluating the reception of innovations within the AFSC and categorizing the stakeholders who exhibit the greatest interest in them. In order to improve the sustainability of agri-food systems, our findings may be incorporated into strategic plans developed by policymakers.

Geospatial modeling for groundwater potential zoning using a multi-parameter analytical hierarchy process supported by geophysical data

Groundwater plays a crucial role in Hungary sustaining ecosystems and meeting the growing demand for freshwater to fulfill domestic and agricultural needs. This study employs the analytical hierarchy process (AHP) methodology to delineate groundwater potential zones in the Debrecen area, Hungary. To ensure the robustness and reliability of the potential zoning, geophysical data are utilized for validation purposes. In the AHP modeling seven groundwater conditioning factors are integrated, including geology, topography, slope, land use/land cover, precipitation, drainage density, and lineament density. The integration of the normalized weights for each factor identified three groundwater potential zones (GWPZs) assigned as moderate, high, and very high potential. The result of the AHP model is further validated with geophysical data of gravity and wireline logging. Gravity data is subjected to spectral analysis and forward modeling to map the lineaments and detect the thickness of the sedimentary sequences. The forward modeling indicated that the thickness of these sequences varies between 1.25 and 2.7 km, with a deep local basin delimited by normal faults situated in the eastern part of the study area. Additionally, the analysis of the well-logging data using the Csókás method provided a continuous estimation of petrophysical and hydrogeological parameters along the main hydrostratigraphical units. Accordingly, a high and uniform distribution of hydraulic conductivity is observed in the eastern part of the study area due to the presence of coarse-grained incised valley deposits. The results of geophysical modeling showed a close agreement with that of AHP models. This interdisciplinary approach advanced the mapping of potential groundwater zones and provided valuable insights into the hydrogeological characteristics of the groundwater aquifers in the Debrecen area.

Performance Evaluation of a Department in the Manufacturing Industry Based on Balanced Scorecard

The success of a company, especially in the manufacturing industry, is closely linked to the performance of each department. The final objective of this research is to determine KPIs, measure department performance on each KPI based on the perspective of a Balanced Scorecard-based performance assessment approach, and then determine achievements. The process of generating Key Performance Indicators (KPIs) commences with conducting unstructured interviews to get KPIs for each perspective. Subsequently, a survey was devised to conduct a systematic evaluation of Key Performance Indicators (KPIs) for each perspective, employing the Analytical Hierarchy Process methodology. The computations yielded weights for the four perspectives: financial, customer, learning, and internal business process. Each perspective was assigned a weight value of 0.25, 0.50, 0.125, and 0.125, respectively.

Identifying Critical Success Factors (CSF) in ERP Implementation Using AHP

Enterprise resource planning (ERP) implementations often encounter multifaceted challenges, leading to failures. Success relies on technical competence, management support, and user engagement. Unique organizational processes significantly influence outcomes. Failures can disrupt operations, highlighting the need to identify critical success factors (CSFs) for effective ERP implementation. This study employed analytic hierarchy process (AHP) methodology to analyze CSFs. Data collection involved surveys administered to a social insurance company's ERP project team in Indonesia. This study revealed 15 success factors, categorized into organization, process, and technology dimensions. Organization emerged as the most crucial, followed by technology and process. Among these, five CSFs stood out: project team competence, vendor and consultant quality, ERP fit, top management support, and hardware and software selection.

Determining The Contract Service Strategy at Coal Terminal Maintenance to Address Contractor’s Inability to Maintain Availability of Fixed Plants in Supporting Shipments Activities at PTKPC a Case Study PTKPC, East Kutai, East Kalimantan, Indonesia

PTKPC, a coal producer, was facing challenges due to a permit transition in December 2021 from Coal Mining Contract of Work (PKP2B) to Special Mining Business License (IUPK). This change increases operational costs with added royalty rates, value-added tax, and profit-sharing obligations. To address this issue, the company decided to streamline contractors in each department in all business units, consolidating various tasks under one umbrella contract. The goal is to provide a big volume of work, potentially lowering rates and reducing PTKPC’s operational costs. However, relying on a single contractor for crucial operations, as seen in the Coal Terminal Maintenance Department (CTMD), introduces risks. The sole contract winner, PTPB, struggles to meet obligations since the contract’s initiation on December 1, 2021. The average contract fulfillment since commencement date is 86% of 100% desired target, disrupting fixed plant Coal Terminal maintenance activities. Physical availability is 93%, below the 94% target, increasing CTMD’s maintenance costs by $0.059 per ton. This research seeks to identify the root causes of PTPB’s inability to fulfill contractual duties and explore alternative solutions. and then from all the existing alternatives, what is the best alternative in responding to this condition. Utilizing primary and secondary data from PTPB’s monthly proforma invoices, contract scope, and CTMD’s monthly reports, the research employs methodologies like problem tree analysis and stakeholder analysis to unravel business complexities and identify root cause of the problems. Qualitative data collection methods, including focused group discussions (FGD) and semi-structured interviews, will be used to determine alternatives. These alternatives will be assessed using the Value-Focused Thinking (VFT) methodology. The Analytic Hierarchy Process (AHP) methodology, assisted by the AHP Super Decision application, will determine the best alternative: the “Implementation of Warnings and Penalties to PTPB”. Implementing this alternative demonstrates PTKPC’s commitment to stakeholders, ensuring contractor accountability without disrupting fixed plant maintenance. Penalty funds will support CTMD’s financial viability, funding additional resources for tasks beyond PTPB’s capacity. This strategy may be applied to other contracts within PTKPC.

Assessment of Solar Energy Technologies in Meeting the 2030 Agenda and Sustainable Development Goals Under an Interval-Valued Fermatean Fuzzy Environment

Renewable energy sources, particularly solar energy, play a vital role in achieving the 2030 agenda and sustainable development goals (SDGs) in Africa. While not explicitly addressed in the millennium development goals (MDGs), renewable energy, including solar energy technologies, indirectly contributed to MDGs targets in Africa. Nevertheless, the absence of quantifiable assessments regarding the impacts of solar energy technologies, potentially attributed to limited implementation in the developing world, motivates this paper to evaluate their potential impact in Africa. The analysis, based on a two-level criteria framework and utilizing the interval-valued Fermatean fuzzy analytical hierarchy process methodology, identifies the top three potential impacts as the reduction of CO2 emissions, monetary savings, and the diminishment of air pollution.

Enhancing Business Decision Making through a New Corporate Reputation Measurement Model: Practical Application in a Supplier Selection Process

The importance of corporate reputation is a critical issue for business growth, sustainability, and success, as it represents a key intangible asset for the management of all companies. This business importance has its correlation in the academic and research field, where corporate reputation has a high number of publications in the literature. However, despite the importance of this concept, one of the great challenges of recent decades, and one that is still evident today, is how to measure corporate reputation quantitatively and how it affects sustainability. Following an in-depth exploration of the available literature, this manuscript aims to demonstrate the effective application of fuzzy models in enhancing decision-making processes within the realm of corporate reputation management for companies. To achieve this goal, this paper proposes a new corporate reputation measuring model based on the fuzzy 2-tuple linguistic and AHP (Analytic Hierarchy Process) methodologies. The proposed model promotes the computation of corporate reputation for companies based on three widely cited and universally recognized criteria outlined in the literature, drawing inspiration from a well-established framework in the field. This approach ensures a comprehensive and widely accepted foundation for evaluating corporate reputation: Capability, Benevolence, and Integrity and adding the Net Promote Score variable. To integrate sustainability into this equation, our model suggests the inclusion of variables related to sustainable practices in the measurement of corporate reputation. Recognizing the growing importance of sustainability in the public perception of companies, factors such as social responsibility, environmental management, and business ethics are recommended for consideration in the assessment of corporate reputation. The model proposed in this paper is tested and validated on a real business case, based on the selection of several companies selected for an empirical study in the selection of suppliers. For future research endeavors, the authors suggest expanding the model to encompass various decision-making processes. Additionally, they recommend exploring the integration of machine learning algorithms and data analysis techniques to identify patterns and provide recommendations for enhancing corporate reputation.

Site Selection for Wind Energy as an Alternative Source of Energy in Bonny, Nigeria

Power derived via the wind stands out as an appealing form of renewable energy due to its minimal operational, maintenance, and production expenses, coupled with its limited environmental footprint. This investigation focuses on employing geospatial methods to establish a wind farm on Bonny Island, Nigeria. The primary objectives include furnishing data and a spatial wind distribution map for Bonny Island, evaluating the significance of factors crucial for wind farm development in the area, and generating a wind energy suitability map. The study utilizes Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) methodologies to scrutinize five critical parameters influencing location suitability. The findings indicate that Bonny Island possesses potential for wind farm installation, with 3,549.8 hectares, 10,219.6 hectares, and 424.6 hectares categorized as highly suitable, suitable, and unsuitable, respectively. Moreover, wind speed, land use/land cover, distance from the road, distance from the river, and land slope each carry a substantial priority weight of 50%, 25%, 10%, 10%, and 5%, respectively. These weights contribute to the creation of a wind energy suitability map for the study area. This research recommends amongst other things the investment and installation of a wind energy farm in Bonny Island, owing to the comparative advantage over other sources of energy in Nigeria.

A Comparative analysis of service supply chain performance using analytic hierarchy process methodology

The study aims to provide a comprehensive analysis of the service supply chain (SSC) of small and medium scale enterprises (SMEs) and to offer insights to improve its supply chain performance. The study employs mixed methods, to analyse the data collected from SMEs. The findings highlight several key metrics of effective supply chain management in a service firm such as utilisation and flexibility of service capacity, inventory, order lead times, relationships between the organisation, its suppliers and customers, the importance of effective demand forecasting and inventory management as valuable attributes to improve the supply chain performance of service firms. Inventory lead time is presented as a fundamental metric useful in determining the service supply chain performance of SMEs.

Landslide susceptibility mapping using the analytical hierarchy process and the Geographic Information System along the Agadir Ida Ou-Tanane province, Morocco

This study focuses on evaluating the susceptibility to landslides in the Agadir Ida Ou-Tanane province following the significant seismic event on September 8, 2023, employing Geographic Information System (GIS) and Analytical Hierarchy Process (AHP). The region, characterized by tectonic activity and diverse lithology’s such as clay, limestone, and alluvium, coupled with steep slopes, is inherently prone to landslides. Utilizing the AHP methodology, we integrate ten factors influencing landslide vulnerability: lithology, slope, earthquakes zone, rainfall, land cover (LULC), distance from faults, hypsometry, drainage, distance from road, and aspect to map susceptible areas effectively. Pairwise comparison matrices and expert assessments were employed to establish the relative significance of these factors, with the reliability of judgments evaluated through the calculation of the consistency ratio (CR). The resulting map depicting landslide susceptibility illustrates a spatial continuum from very low to very high susceptibility areas. Given the active tectonic setting of the region, lithology and slope emerge as the predominant factors influencing susceptibility. Model validation was conducted using observed landslide occurrences, enhancing the applicability of this mapping for land-use planning and risk management purposes.

Competency Models for Advancing Transformation in Account Representative Roles

This study endeavors to ascertain and pinpoint the essential competencies for Account Representatives to orchestrate institutional transformation within the Directorate General of Taxes. Using the delayering program, the organization aims to transition employees from structural roles to functional positions. The study was conducted across several tax service offices, ensuring representation in alignment with the diverse tax office types within the North Sumatera I Regional Office. Employing the Analytic Hierarchy Process (AHP) methodology, the study meticulously analyzed the prioritization of competencies delineated by the National Civil Service Agency across three distinct categories: managerial, sociocultural, and technical competencies, soliciting respondent feedback. This approach facilitated a comprehensive examination of the competencies requisite for Account Representatives to shape institutional transformation within the Directorate General of Taxes. The strategic implementation of the delayering program aims to foster a transition from structural to functional roles for its employees, reflecting a commitment to adaptability and efficiency within the evolving tax landscape.

Striking the Balance: The Priority Ranking of Flexible Work Arrangements in Freight Forwarding Companies

The Flexible Work Arrangements (FWA) is increasing its prominence in today’s business world. Companies are increasingly adopting flexibility to improve employee happiness and overall operational efficiency as the landscape of work patterns evolves. There is a growing research need to address the relative importance of different FWA according to specific business fields of the companies. This study aims to contribute to the field of organizational management by systematically prioritizing and ranking various FWA in the context of Turkish freight forwarding companies using the Analytic Hierarchy Process (AHP) methodology. The literature mainly suggests available FWA and their individual contributions to employee satisfactions. However, there is a research gap to identify the most relevant methods that match the specific needs of the sea freight forwarding sector. This study tries to construct a complete hierarchy of flexible work arrangements by meticulously using the AHP framework and including the viewpoints of both academics and Human Resources (HR) officials. This study seeks to establish a comprehensive hierarchy of flexible work arrangements, taking into account practices such as remote work, flextime, flexplace, and leave control, among others, through a meticulous application of the AHP framework. The findings of this study are expected to provide practical insights, assisting freight forwarding firms in making educated decisions on the implementation and priority of flexible work practices and promoting a harmonious and productive work environment.

Optimizing solar dryer design: A multicriteria decision making approach for hybrid systems

Solar dryers are a sustainable and efficient alternative for preserving agricultural products, offering numerous benefits for both the environment and the agro-industrial sector's economy. The objective is to develop a decisionmaking methodology based on environmental, economic, and social criteria, allowing the acquisition of data for the design of solar dryers using alternative energy sources to achieve the hybridization of one or more energy sources. The Analytic Hierarchy Process (AHP) methodology is based on breaking down a complex problem into a series of simple and manageable problems. This methodology evaluated alternatives based on different criteria and factors to consider. The AHP methodology was divided into three stages: the first was to define the problem to be solved, the second was to determine the criteria, and the third was to analyze the possible alternatives. This research provided information for the design of a solar coffee dryer in San Antonio el Porvenir, Chiapas. The solar dryer's design was based on criteria proposed by the producers, such as ease of repair, the product not being in contact with the ground, and ensuring safe operation due to the presence of children and women near the drying process.