Analytic Network Process Research Articles

Research on Well Selection Method for Intermittent Pumping in Oil Wells Based on the Analytic Network Process and Fuzzy Logic

In the later stages of oilfield development, the decline in oil well production and the increase in development costs, attributed to issues such as insufficient liquid supply, necessitate the implementation of intermittent pumping measures. However, current methods for selecting these wells lack comprehensiveness in the decision-making process. This article proposes a novel method for selecting intermittent pumping wells utilizing the analytic network process (ANP) and fuzzy logic. Initial surveys identified the main factors influencing intermittent pumping effectiveness. The ANP was employed to screen and integrate six core factors, including submergence depth and water cut. Subsequently, a fuzzy-logic-based model was developed, incorporating trapezoidal and rectangular membership functions to establish detailed correlations among the factors. The model’s efficacy was validated and tested using real-world data from the oilfield. Results indicate that the model’s assessments of intermittent pumping wells align closely with professional engineering judgments. This approach not only provides clear guidance for well selection but also demonstrates high scalability and adaptability across different oilfields by adjusting membership functions, thereby showcasing significant practical value.

Halal procurement strategy for the halal pharmaceutical industry in Indonesia

Purpose This study aims to develop a halal procurement strategy for the halal pharmaceutical industry in Indonesia. Design/methodology/approach This qualitative research is based on in-depth interviews, followed by a strength, weakness, opportunity and threat analysis (using analytical network process technique) to develop halal procurement strategies for the halal pharmaceutical industry in Indonesia. Findings Access to halal-certified raw materials is the most difficult issue for pharmaceutical business procurement departments. Because Indonesia is heavily dependent on raw material imports, developing the raw material industry should be a top priority. Recommendations are drafted for the government, pharmaceutical industry and education to strengthen Indonesia’s halal pharmaceutical sector and procurement strategies. Research limitations/implications Few studies have been conducted on halal procurement in the pharmaceutical industry, and case studies are recommended to further explore halal procurement best practices. Quantitative research is also recommended to better understand existing halal procurement strategies and the purchasing process of halal critical items for pharmaceutical industries in Muslim-majority countries like Indonesia. Practical implications Halal critical items sourced for the halal pharmaceutical industry require halal certification, multiple supplier sourcing, evaluation mechanisms and benefit from horizontal collaboration. The main bottleneck for the halal pharmaceutical industry is lack of raw materials with the right halal certificates. Originality/value To the best of the authors’ knowledge, this is the first study on halal procurement strategies in the pharmaceutical industry. Its findings are relevant to regulatory, technical and business strategies in Muslim-majority countries.

Conducting water-energy-food nexus studies: what, why, and how

The increasing pressure on resources and the persistent failure to address global malnutrition are evident challenges. A significant contributing factor is the decline in the quality of production resources, particularly water. As a result, many countries and their experts have prioritized the need to balance resource consumption. To address the research gap regarding balanced and optimal resource use, various methodologies have been developed over time, culminating in nexus studies. This study aimed to investigate the what, why, and how of conducting water-energy-food nexus (WEFN) studies. The research employed a sequential mixed-methods approach, integrating content analysis with the Analytical Network Process (ANP). The findings reveal that the objectives of WEFN studies encompass a wide range of interests, which can be systematically categorized into seven principal domains: system sustainability assessment, integration of planning and decision-making processes related to resource consumption, optimization of resource use, management of resource consumption systems, development of theoretical frameworks for the nexus, evaluation of the impacts of resource consumption, and assessment of associated risks. Notably, the results indicate that system sustainability assessment is the most critical reason for conducting WEFN studies. Furthermore, the analysis of WEFN methodologies identified simulation as the most effective technique within the Analytical Hierarchy Process (AHP) framework. In the context of the ANP technique, statistical analysis and simulation emerged as the most important methods. This research advocates for using a diagram to facilitate the selection of the optimal method for conducting a WEFN study.

Application of the Analytic Network Process for Sub-Watershed Prioritization in the Huehuetan River Basin, Chiapas, Mexico

Sub-watershed prioritization is essential for developing watershed management plans that maximize impact with minimal resources. This study used a multicriteria decision-making approach to rank sub-watersheds by degradation status in the Huehuetan River Basin, Chiapas, Mexico. The eight sub-watersheds in the basin were classified using the Analytic Network Process (ANP) model, evaluating morphometry, hydrology, hillslope stability, soil water saturation, land-use change, and socioeconomic factors. The results identified hydrology and land-use change as the most influential criteria, with weights of 20.62% and 19.82%, respectively, driven mainly by surface runoff and deforestation. Swtr 08 and Swtr 07 were identified as the highest-priority sub-watersheds, covering 24.31% of the basin area, with 55.31% of Swtr 08 classified as unstable and showing a combined high-vegetation loss of 16.46 km2. The entire watershed showed an annual vegetation loss rate of 146 ha year−1. Increasing the weighting by 50% resulted in greater variability in priority rankings, with runoff and low vegetation showing maximum global ranges of −44.33% and 30.25%, respectively, instability decreasing by 33.94%, and peak flow increasing by 18.20%. These findings emphasize the need for focused interventions in the vulnerable subwatersheds of the upper basin to manage runoff, curb deforestation, and reduce soil instability.

Application of hybrid multi-criteria decision-making method to the evaluation of corporate social responsibility: An example of the banking industry in China

Corporate social responsibility (CSR) is a popular research topic, but there have not been comprehensive discussions on CSR evaluation in the banking sector. The purpose of this study is to propose a two-stage analysis combining the modified Delphi method (MDM) and Analytic Network Process (ANP) in order to construct a model for evaluating banks’ CSR. First, we use MDM to select and determine the interdependence of the criteria and then employ ANP to obtain their weights and to rank the alternatives. The results show that 5 criteria and 18 sub-criteria need to be considered in CSR evaluation. The most important criterion and sub-criterion are bank governance and regulatory compliance, respectively. The evaluation model constructed herein can be taken as a decision-making guide for evaluating banking organizations’ CSR and to help promote CSR development in China’s financial industry.

Performance assessment of public transport networks: an AHP-ANP approach

Multi-criteria decision-making (MCDM) methods have been extensively employed by researchers in the public transport (PT) sector. While many studies utilize a single MCDM method, employing multiple MCDM methods can achieve more robust results. Furthermore, integrated MCDM methods have the potential to address the weaknesses and limitations inherent in single MCDM method. In this study, we address the limitations of single MCDM methods by integrating the analytic hierarchy process (AHP) with the analytic network process (ANP) to evaluate public transport networks performance. Based on the established public transport criteria matrix AHP model, we identify interdependencies among criteria. The AHP-ANP method is then applied to assess public transport networks in three case study cities in Australia. The sensitivity analysis conducted on both the AHP and integrated AHP-ANP approaches highlights the influence of criteria interdependency. This research contributes to mitigating the limitations of AHP method and applies AHP-ANP model to provide decision-makers with insights to enhance PT network performance and achieve smart PT network management.

A Multicriteria Decision-Making Approach for Urban Water Features: Ecological Landscape Architecture Evaluation

In recent decades, the issues of ecology and environmental sustainability have become a global concern in contemporary urban design. Among various urban elements, water features play a significant role in improving the ecological characteristics of their surrounding environment, especially in hot and arid areas. The aim of this study is to evaluate the ecological characteristics of urban water features comprehensively and quantitatively, which has been overlooked in previous studies, taking their physical characteristics into account. To this end, a multicriteria decision-making method, an analytic network process, was proposed to quantitatively evaluate the ecological characteristics of water features. In this approach, four ecological criteria—microclimate, biodiversity, greenery, and human wellbeing—and ten physical characteristics of water features were considered. Twenty-one experts were asked to complete a questionnaire for pairwise comparisons of all ecological criteria and the influence of physical characteristics. The results showed that vegetation and scale, with the relative influencing values of 0.255 and 0.188, respectively, were identified as the most decisive features influencing ecological criteria. Conversely, texture, with a value 0.023, had the least impact. Moreover, it was shown that water features have the greatest impact on the microclimate compared with other ecological criteria. The results were used to compare water features at the Koohsangi Transregional Park, located in a hot and arid city of Iran. The results of this study lead to a framework that can help urban designers integrate ecological criteria into water feature planning to enhance urban ecology and sustainability.

Prioritization of Personal Protective Equipment Plans for Construction Projects Based on an Integrated Analytic Network Process and Fuzzy VIKOR Method

The risk of both fatal accidents and non-fatal injuries in the construction industry is significantly high in most countries. To reduce this construction safety risk, the proper use of personal protective equipment (PPE) is one of the major measures on the jobsite. In this research, in order to comprehensively assess the PPE plans, a three-phase framework was proposed to identify the optimal solution for PPE planning from a set of alternatives. As a result, four main criteria and fifteen sub-criteria were identified based on a systematic literature review, and a decision-making model integrating the analytic network process (ANP) and VIekriterijumsko KOmpromisno Rangiranje was developed. As the assessment information in the survey was incomplete and vague, the fuzzy sets theory was adopted to transform the linguistic terms into fuzzy numbers for evaluation. The model further calculated the weight of each criterion and prioritized the potential PPE plan alternatives. Finally, the presented model was implemented in a case study to verify its feasibility and applicability for practical construction management. The proposed method enables the selection of the most compromising solution as the optimal PPE plan. This research assists decision-makers and safety planners at construction workplaces to improve the overall safety performance and reduce accident risks, which significantly contributes to construction safety management and practice.

Utilizing Analytic Network Process for Evaluating Event Management Companies: A Case Study in Celebration Activities

This study explores the selection model for event contracting companies, analyzing the differences in selection criteria across various types of activities (such as arts and culture, industry and community development, and innovative festival activities). The findings indicate that the comprehensiveness of the project proposal and the feasibility of implementation are the most important criteria across all activity types, each holding the highest weight. Furthermore, different activity types place varying levels of importance on the contractors' professional knowledge, skills, and historical performance. This study provides a specific and objective selection model, offering a reference for enterprises and government agencies when choosing contracting companies, thereby increasing the success rate of event planning and execution. Future research could further extend the applicability of this model, verifying its effectiveness and applicability in other industries.

Photovoltaic Modules’ Cleaning Method Selection for the MENA Region

Photovoltaic (PV) systems are important components of the global shift towards sustainable energy resources, utilizing solar energy to generate electricity. However, the efficiency and performance of PV systems heavily rely on cleanliness, as dust accumulation can significantly obstruct their effectiveness over time. This study undertook a comprehensive literature review and carried out multiple interviews with experts in the PV systems field to propose a map for selecting the optimal PV cleaning method for PV systems within MENA region. These factors, covering meteorological conditions, the local environment, PV system design, module characteristics, dust deposition attributes, exposure time to dust, and socio-economic and environmental considerations, were employed as criteria in a Multi-Criteria Decision-Making (MCDM) model, specifically, an Analytic Network Process (ANP). The results indicate that partially automated cleaning is the most suitable method for existing utility-scale PV projects in the MENA region. The findings provide robust guidelines for PV system stakeholders, aiding informed decision-making and enhancing the sustainability of PV cleaning processes.

Using a rough-fuzzy DANP technique for analysis of the key factors affecting the development of a green business in the machinery manufacturing sector

In the field of machinery manufacturing, green transformation has become an essential objective for corporate governance. Implementing environmentally conscious practices not only contributes to ecological preservation and sustainable growth but also strengthens corporate reputation, lowers operational expenses, and fosters innovation. Despite these advantages, further investigation is required to identify the key factors influencing Green Business (GB) initiatives within the machinery manufacturing industry and to evaluate the practical significance of the strategies essential for advancing sustainable development. Additionally, it is crucial to determine which strategies enable firms to gain and sustain a competitive edge. Currently, the industry lacks a comprehensive methodology and an integrated framework for GB models. This study addresses this gap by systematically identifying critical indicators shaping GB practices. The rough-fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique, combined with the Analytic Network Process (ANP), referred to as DANP, is employed to analyze the interrelationships among these indicators and to assign relative weights. The use of a rough-fuzzy-based approach not only synthesizes expert judgments but also accommodates information uncertainty. The findings indicate that “green value realization” is the most pivotal dimension of the GB model. Moreover, “green value capture,” “green value proposition,” and “sustainable value creation” emerge as the three primary areas for enhancement. This study offers a strategic roadmap for decision-makers in the machinery manufacturing sector to progress towards GB practices. By embedding green transformation strategies into manufacturing operations and supply chain management, enterprises can promote sustainable development and reinforce their market position.

Modernisasi Alat Utama Sistem Senjata TNI dalam Mendukung Tugas TNI AL

This study analyzes the modernization of TNI AL weaponry systems to support maritime defense tasks in Indonesian jurisdictional waters. Using the Analytic Network Process (ANP) method, the research identifies the challenges and obstacles faced, as well as determining modernization priorities. The ANP results show that modernizing the Indonesian Navy Warship (KRI) is the top priority, followed by the development of Fast Missile Boats (KCR), the modernization of the Maritime Air Defense System, and the procurement of new submarines. Additionally, the Indonesian Navy faces both conventional military threats, such as naval attacks from other countries, and asymmetric threats, including piracy and maritime terrorism. To address these threats, the Indonesian Navy needs to develop advanced technologies, including cyber security and monitoring technologies to prevent illegal activities at sea. The study also finds that modernization efforts face various obstacles, requiring the improvement of maintenance facilities and intensive training. The use of ANP and NVivo helps formulate an effective modernization strategy to enhance operational readiness and the maritime defense capabilities of the Indonesian Navy.

Strategies To Improve Financial Technology Literacy For Millennials And Generation Z

This study analyses the problems and priorities of strategies to improve financial technology literacy, especially among Millennials and Generation Z. This mixed method study uses the analytic network process (ANP) approach. The data sources used are primary and secondary data. Interviews, questionnaires, and literature carried out data collection techniques. Interviews and questionnaires were conducted with seven informants: one regulator, three academics, and three online loan users. The study results showed that the geometric mean determined the priority of fintech literacy problems. The prioritized aspects are the need for more public understanding of online loans, interest rates, and community needs. The priority strategy in improving fintech literacy among Millennials and Generation Z in Bengkalis Regency is to carry out Sharia literacy regarding online loans, regulate online loan interest rates, and reduce the community's need for online loans. Theoretically, this study strengthens the validity of the trade-off theory and provides new insights into strategies to improve fintech literacy. Practically, it contributes to providing strategies to improve fintech literacy for stakeholders.

Analytic network process–based study of the importance and interconnectivity of facilities under volcanic ash risk

Analytic network process–based study of the importance and interconnectivity of facilities under volcanic ash risk

Investigating cross-docking criteria for raw materials with hybrid MCDM

The cross-docking process involves unloading raw materials from incoming vehicles and immediately loading them onto outgoing vehicles. This can greatly improve supply chain operations and expedite transportation to the factory. By minimizing warehouse storage expenses, space requirements, and inventory management, the process can be streamlined effectively. In industries where production profiles need to be responsive to market demands, the location of the cross-docking facility and transportation planning are crucial. This article aims to investigate the criteria for selecting a cross-docking location, using a case study of Arta Profile Company in Ardabil. The research population includes all industrial engineers and production planners in the company, with 10 industry experts selected for this study. The analytic network process (ANP) and grey complex proportional assessment (COPRAS-G) methods were used to compare and prioritize cross-docking locations. Additionally, the fuzzy DEMATEL method was used to determine the strength of connections between different locations. The COPRAS-G approach helps decision-makers make informed decisions by evaluating different options and their importance. The industry experts identified 28 criteria for this study. The results from the network analysis method showed that the most important criterion is the vehicle routing problem (VRP), with a value of 0.46. According to the ANP technique, strategic decision-making is the best option. The fuzzy DEMATEL method revealed that distribution centers are the most important factor, followed by reduced delivery/distribution operations, and finally, the cost of late or early delivery.

Striking the balance: Fiqh Bi’ah and Productive Waqf Forests (PWFs) for sustainable forest management in Indonesia

Purpose This study aims to address the challenge of balancing economic development with environmental protection in the context of productive waqf forests (PWFs). The inherent tension between forest productivity and protection necessitates a model that ensures sustainable utilization. This research proposes a novel framework by integrating fiqh bi'ah (Islamic environmental jurisprudence) with a model for PWFs development. Design/methodology/approach Using a qualitative approach, the analytical network process (ANP) analyzes data gathered through a literature review of Islamic environmental jurisprudence (fiqh bi'ah) on environment and waqf, in-depth interviews and focus group discussions with academics, practitioners and regulators in fiqh bi'ah and waqf forest management. Findings Three potential PWFs development models emerge from the fiqh bi'ah literature; Harim (maintaining the natural forest state for intangible benefits like oxygen and biodiversity), Hima (sustainable utilization of forest products while preserving ecological components) and Ihya’ al-mawat (developing unproductive land into a future forest). The ANP analysis reveals that Hima is the most preferred model by all stakeholders, followed by Ihya’ al-mawat. The Harim model received lower preference due to limited economic potential. Additionally, experts suggest tourism-based forest management as the most suitable approach for all three PWFs models. Originality/value This study offers a novel PWFs development model grounded in fiqh bi'ah principles. By using ANP to integrate diverse stakeholder perspectives, the research provides valuable insights for sustainable and ethical management of PWFs resources, contributing to the literature on Islamic finance and business models.

Smart retrofitting for office buildings: Comparison of decision-making criteria between developing and developed regions

Given the constantly evolving nature of modern infrastructure, retrofitting existing buildings with state-of-the-art smart technologies presents a pivotal opportunity, enabling promising advancements in sustainability, efficiency and adaptability. Focusing on Hong Kong and Sri Lanka, which are developed and developing regions respectively, this study investigates the decision-making criteria for selecting smart systems as retrofits for office buildings. Using the analytic network process (ANP), 24 expert interviews were conducted in Hong Kong and Sri Lanka to determine the importance weights of the decision-making criteria. The findings show varied importance weights for each criterion between the two regions, with Hong Kong emphasizing upfront financial considerations, specifically 'investment cost' while Sri Lanka emphasizing long-term operational sustainability, specifically 'recurring operation, maintenance and repair cost.' Despite these differences, there are similarities in the importance of core criteria such as 'reliability of retrofit option' and 'ability to increase returns.' The lack of focus on user-centric issues in Hong Kong and implementation of retrofit projects in Sri Lanka underscore the need for decision-makers to prioritize these aspects in future projects. The principal contribution of this study is in offering insights from a thorough analysis of the importance weights of the essential criteria in making decisions regarding smart retrofitting (SR). It is also beneficial to various stakeholders, including building owners and facility managers. The cross-region study approach, enabling the investigation on both developed and developing regions, further serves as a foundation for future research aiming to explore and analyze the influence of regional difference in decision-making for SR.

A Novel Model for Sustainable Supplier Selection in the Paint and Coating Industry

Given the significance of sustainability in the current global market, doing a comprehensive and current assessment of a supplier’s sustainability might be beneficial for improving a firm’s competitiveness. This study aims to develop sustainable supplier selection criteria, examine their interrelationships, and determine the critical criteria in the paint and coating industry. This study employed a focus group discussion (FGD), the Delphi method, a decision-making trial and evaluation laboratory-based analytical network process (DANP), and a measurement of alternatives and ranking according to compromise solution (MARCOS). The findings indicated that most sub−criteriasub−criteriaexperts agreed that 11 economic sub−criteria, five environmental sub−criteria, and three social sub−criteria should be considered when selecting a sustainable supplier. The results show that the most influential criteria are environmental criteria, while the critical criteria are social criteria. In addition, “Service” (E4), “Green Material” (L3), and “Health and Safety” (S1) sub−criteria should be considered to assess the supplier because they have high relation and prominence. Globally, the top five highest weighted sub−criteria are “Respect for the Law” (S2), “Health and Safety” (S1), “Worker’s Social Rights” (S3), “Waste Management” (L5), and “Environment Management System” (L1). We practically selected 12 providers from the paint and coating sector to assess the scheme’s practicality. This work introduced a novel model for selecting a sustainable supplier that helps industries understand their core criteria and sub−criteria. This will enhance the industry’s competitiveness and sustainability by evaluating suppliers based on economic, environmental, and social criteria.

Key factors influencing sustainable population growth: A DEMATEL-ANP combined approach

This study highlights the importance of sustainable social demographic growth. It uses a model that combines the Decision-making Trial and Evaluation Laboratory (DEMATEL) with the Analytic Network Process (ANP) to examine key factors affecting this growth and their interactions. The analysis focuses on six critical factors: economic development, education and gender equality, health services, environmental sustainability, immigration policies, and technological advancement. Experiments using government and international organization databases include comparative experiments with deep learning prediction models, ensemble learning models, Causal Inference Models, complex network analysis models, and agent-based models. Comparison metrics cover accuracy, precision, recall, and F1 score. The results indicate that, with a data volume of 4000, the optimized model achieves an accuracy of 0.973, precision of 0.981, recall of 0.969, and an F1 score of 0.89, demonstrating the model's superior performance. The DEMATEL method analyzes the direct relationships among the factors. The results show that economic development and technological advancement have impact scores of 3.91 and 3.43, respectively, indicating their strong influence on other factors and their role in promoting sustainable demographic growth. Education and gender equality, health services, and technological advancement each have impact scores of 3.39, meaning they are significantly affected by other factors and are sensitive in the growth process. Finally, the ANP method is used to calculate the weights of each factor, determining their relative importance in sustainable social demographic growth. The results highlight that economic development level and technological advancement and innovation are core factors influencing sustainable social demographic growth, with significant direct and indirect impacts on other factors and a crucial role in the overall system. These findings provide a scientific basis for formulating relevant policies and interventions, particularly in prioritizing and strengthening economic and technological development strategies. This study offers valuable insights for research in demography, sustainable development, and social policy formulation.

Integrasi Analytic Network Processing dan Technique for Order Preference by Similarity to Ideal Solution sebagai Perancangan Strategi dalam Meningkatkan Daya Saing pada Perguruan Tinggi XYZ

Seizing consumer preferences is crucial for organisations amidst increasingly intense competition. Success in this competition depends on the product's ability to fulfil customer needs and wants. All universities in Indonesia are faced with similar challenges, namely how to formulate and plan for their future in the face of ever-evolving societal changes. To respond to this challenge, it is necessary to develop a strategy that increases the competitiveness of universities. From the literature review, the criteria for increasing the competitiveness of the XYZ Institute are obtained, namely, product, price, place, promotion, people, process, physical evidence. Each criterion, through the brainstorming, is broken down into sub-criteria. The process to determine the right strategy design can be done in many methods, and among them are the ANP (Analytical Network Process) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The results of weighting the criteria using the ANP method using the Super Decisions software are then ranked using the TOPSIS method. The result is that the three best strategies are to improve the Product, namely, Alumni Quality (score 0.713397108), followed by improving Promotion, namely, the Institute accreditation score (score 0.709584147) and the People aspect, namely, student input selection (score 0.704887758).