Analytic Network Process Method Research Articles

Multiple-Criteria Decision-Making Attributes Approach for Carbon-Reduction Construction in Small Islands

Chiang, T., 2022. Multiple-criteria decision-making attributes approach for carbon-reduction construction in small islands. Journal of Coastal Research, 38(2), 310–318. Coconut Creek (Florida), ISSN 0749-0208. The group decision-making with dependent attributes problem (GDMDAP) is an increasingly important problem for small islands in the construction industry to achieve carbon-reduction and sustainability goals with a win-win vendor selection process. In this paper, an innovative approach that integrates the stochastic matrix and the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is applied to solve the GDMDAP. The 795 records from the 47 carbon-reduction projects in Kinmen, an island with zero carbon visions in Taiwan, are surveyed from 2014 to 2021. The 67% decision attributes in the case study are dependent based on the Spearman's rho test. The test verifies that decision-making is difficult to apply to the traditional multiple-criteria decision-making method for carbon-reduction projects. The analytic network process method is also difficult to estimate because of the range problem of ratio variable scale. Based on the stochastic matrix and modified linear normalization, a 0–100 scale decision matrix with dependent attributes is transferred to a 0–1 scale with less than a two times scores gap. The group VIKOR method is used to integrate the acceptable advantage and acceptable stability. The performances of the traditional ranking method and the proposed approach are compared with one of the 47 carbon-reduction projects. The results show the effectiveness and superiority of the proposed approach.

PENINGKATAN PERAN SUKUK NEGARA DALAM PEMBIAYAAN INFRASTRUKTUR

Sukuk Negara is one of the sharia-based financing instruments issued by the government to meet the budget deficit. This study aims to identify priority issues in the development of Sukuk Negara to enhance the role of Sukuk Negara in supporting government infrastructure financing. From the results of data management using the Analytic Network Process (ANP) method, it is known that several priority problems include the issuance of Sukuk Negara financing limited to central government projects, the lack of quality and quantity of Islamic finance human resources compared to conventional finance, and the low interest in public investment in Islamic financial instruments. The priority of the solution is the need to make regulations that allow Sukuk Negara to finance PPP project financing schemes, increase innovation and quality of sukuk products so that they are able to achieve the set targets, and foster public investment interest. Thus, the strategy in supporting the government's infrastructure development is to increase the proportion of SBSN issuance, increase socialization and communication to the public, and diversify underlying assets.

Maqashid sharia-based mosque empowerment index

PurposeThis study aims to formulate an index formula for mosque empowerment based on Maqashid Syariah as a measuring tool for the level of mosque empowerment.Design/methodology/approachThis study uses a qualitative and quantitative approach (mixed method). Data collection techniques are carried out by in-depth interviews with experts consisting of academics, practitioners, scholars and regulators. The data analysis technique uses the Analytical Network Process (ANP) with Super Decision 2.10 software to construct the index model structure.FindingsThe results indicate that the mosque has a multi-field role, including in the fields of worship, social, education, politics, economy and culture. This study produces an index of mosque empowerment based on Maqashid Syariah, composed of sic criteria, namely, elements of Maqashid Syariah; protect religion, soul, mind, lineage, property and environment. The weighting results of the criteria indicate that maintaining religion is the main criterion with a weighted value of 0.209. Each of these criteria consists of five indicators. Of all indicators, environmental safety is the top priority, with a weighted value of 0.056.Originality/valueThis study is the first comprehensive study that discusses the mosque empowerment index by weighting the ANP method to produce an index of mosque empowerment based on Maqashid Syariah.

Investigation of Water Quality Using Fuzzy and Analytic Network Process (ANP) Methods in GIS

استان فارس، با توجه به واقع‌شدن در مناطق خشک و نیمه‌خشک ایران، دچار کمبود منابع آب سطحی شده است. بنابراین، به‌منظور بهره‌برداری از منابع آب زیرزمینی، تعیین کیفیت آب بسیار اهمیت دارد. با توجه به اهمیت موضوع، هدف این مطالعه تعیین میزان کیفیت مناطق جنوب شهر شیراز در استان فارس است. به‌منظور تهیة نقشه‌های پهنه‌بندی از نقاط نمونه‌برداری‌شده، از روش میانگین عکس فاصله (IDW) استفاده شد. در ادامه، برای همگن‌کردن هریک از لایه‌های تهیه‌شده، روش فازی به‌کار رفت. در این روش، تابع عضویت برای هریک از نقشه‌های پهنه‌بندی تعریف شد و داده‌ها بین 0 و 1، براساس درجة اهمیتی که در کیفیت آب دارند، قرار گرفتند. در نهایت، برای وزن‌دهی به لایه‌ها و تهیة نقشة نهایی کیفیت آب، از روش فرایند تحلیل شبکه‌ای (ANP) استفاده شد. نتایج نشان داد که کیفیت آب حدود ۸۰% منطقة مورد مطالعه مطلوب است؛ درحالی‌که کیفیت آب شرب در حدود ۴% از منطقه (بخش‌هایی از شمال و شرق) نامطلوب است.

Assessment of Human Factors Causes of Occupational Risk in the Chemical Industry Using the Analytic Network Process (ANP) Method

The development of the industry in Indonesia is inseparable from the analysis of the production process and identification of the risk of causing work accidents. In every production process in the chemical industry there are various risks that cause occupational accidents, the biggest cause of accidents comes from human factors. It required a priority assessment of workplace accidents influence on the human factor as the cause of the rising incidence of labor in the production process in the chemical industry with the method of Analytic Network Process (ANP) , of the assessment results using ANP method can be determined to set a risk management strategy causes of accidents. ANP method is done by determining goals, criteria, and sub criteria. In this case the criteria are the production process and the sub criteria are human factors that cause the risk of work accidents. Furthermore, the value of influence between criteria is determined, between criteria and sub criteria and between sub-criteria . The results obtained are the highest limiting values for criteria, namely the final product process and sub-criteria, namely human factors not using PPE . Strategies that can be taken to control risk is by giving reward and punishment, providing HSE training, as well as the management is partially responsible for HSE

Scenario-Based Comprehensive Assessment for Community Resilience Adapted to Fire Following an Earthquake, Implementing the Analytic Network Process and Preference Ranking Organization Method for Enriched Evaluation II Techniques

Natural hazards bring significant influences on and socioeconomic loss to cities and communities. Historic events show that fire following earthquake (FFE) is the most influential uncertain disturbance on the urban infrastructure system. Under the FFE scenario, the concept of resilience is widely implemented to make up the shortcomings derived from the traditional disaster management methodology. Resilient cities and communities are required to improve the systemic performance in responding to the FFE. To fulfill these goals, measuring community resilience is an essential work for municipal policy makers. Therefore, this study conducted a comprehensive assessment on community resilience adapted to the FFE scenario. The systematic literature review (SLR) was employed to identify the indicators, and the analytic network process (ANP) technique was implemented to determine their weights. 20 indicators were extracted, and 4 communities that encountered FFE in China were selected for the empirical analysis. Thereafter, the preference ranking organization method for enriched evaluation (PROMETHEE) II technique was selected through using the multicriteria decision analysis (MCDA) methods selection framework to fulfill the comprehensive assessment. The results were discussed and demonstrated with graphical analysis for interactive aid (GAIA) technique. The findings revealed that the G Community won the highest score and had the strongest performance. However, H Community had the lowest score and the weakest performance. The proposed comprehensive methods could benefit the decision-makers and the policy executors achieving the community resilience adapted to the FFE scenario by improving the effective indicators.

Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network.

Children with autism need appropriate educational toys to assist rehabilitation training, so as to inhibit the development of autism. Toys and related treatments for children with autism can alleviate some of the deficits of children with autism. By using toys as stimuli and various sensations obtained by children with autism or toys as a result of reinforcement, the improvement of certain capabilities expected by related therapies can be achieved through the process of stimulation and reinforcement. However, in the process of pediatrics toy development, it is difficult for toy designers to assess whether the purpose of stimulation and reinforcement can be achieved. There are many factors that affect the design of rehabilitation toys. The industry has not formed a unified design evaluation standard, and the effects of product rehabilitation training are uneven. A method based on the radial basis function (RBF) neural network was proposed in this research to study the rehabilitation design and evaluation of rehabilitation toys for children with autism. Firstly, according to the three demand indicators for the evaluation of rehabilitation training for children with autism, that is, “useful, educational, and entertaining,” the analytic network process (ANP) method was chosen as the weighting method for determining each indicator in the overall evaluation. The RBF neural network rehabilitation model for children with autism was designed and evaluated. The maximum error of the model was less than 10%. The evaluation method was objective and reasonable, so as to provide a reference for the more accurate design evaluation, purchase, and development of rehabilitation toys for children with autism.

Assessment of water security in the large watersheds of Iran

The present study was conducted to evaluate the water security in Iran and its large watersheds over a period of 20 years at 5-year intervals (1996, 2001, 2006, 2011, and 2016). Eight important indicators influencing the water security including the renewable water resources per capita, water use intensity, water productivity, investing in water infrastructures, water quality, access to drinking water and pollution management, changes in the green coverage area, and changes in the large water bodies area of the country were used and weighed by the analytical network process (ANP) method in order to quantify the concept of water security. The average calculated values for water security were equal to 0.455, 0.442, 0.410, 0.345, 0.326, and 0.323 in the Urmia Lake, Caspian Sea, Persian Gulf and Oman Sea, Qaraqom, Central Plateau, and Eastern Border large watersheds, respectively over 20 years. The calculated values for water security during the studied years showed that although the slope of water security has changed in different time periods, but the water security declined between 1996 and 2016 across the six watersheds although there were some small discrepancies in this trend. These inconsistencies are far less significant than the overall reductions in water security across time and space. Considering that water security is one of the important components of national security and existence of water crises, sustainable management of water resources by political, social and economic requirements and creating a proper balance between water use and water resources seems necessary to prevent a possible future.

Dynamic assessment of sustainable manufacturing capability based on correlation relationship for industrial cloud robotics

The industrial cloud robotics (ICRs) integrates distributed industrial robot resources in various places to support complex task processing for multi-resource service requirements, and manufacturing capability assessment plays an important role in determining the optimal service composition to realize the value-added of ICRs resources. However, ignoring correlation relationship within the robot composition, the traditional evaluation method cannot reflect the impact of the robot individuals on the overall manufacturing capability of the ICRs composition. In addition, the problems of excessive resource consumption and environmental pollution in the manufacturing industry are becoming increasingly serious. The paper proposes a dynamic assessment method of sustainable manufacturing capability for ICRs based on the correlation relationship. Firstly, an extensible multi-dimensional indicator system of sustainable manufacturing capability is constructed. Then, multiple composition correlation relationships among ICRs are analyzed to establish the correlation assessment model. Furthermore, a set of dynamic evaluation methods is proposed, in which raw data of the evaluation indicators is processed based on the service correlation model, and the traditional network analytic network process method is improved based on the data correlation model. Finally, a case study is implemented to show the reasonability and effectiveness of the proposed method in the assessment of sustainable manufacturing capability for ICRs.

Strategies for optimizing mangrove ecosystem management in the rehabilitation area of Sayung coastal zone, Demak Regency, Central Java

Sayung coast is experienced very high coastal erosion and has a huge impact on the lives of the surrounding communities. One of the efforts in handling coastal erosion is the rehabilitation of the mangrove ecosystem.The purpose of this study was to prioritize mangrove ecosystem management strategies in rehabilitation areas. Data were collected from three coastal villages, namely, Bedono, Timbulsloko, and Surodadi, through in-depth interviews, questionnaires, and field observations. The data analysis was carried out using the Analytical Network Process (ANP) method. The result showed that the priority problems in the mangrove ecosystem management on the Sayung coast were: conversion of mangrove land, failure of mangroves to grow, lack of monitoring and supervision. Therefore, the priority solution for optimizing mangrove ecosystem management is rehabilitation and conservation, increasing community participation, and monitoring by involving the community.

Subcontractor Selection Review Industry XYZ With Analytic Network Process (ANP) Method

In the steel construction of the Kendari Newport Container Facilitiy and Utilities Project's which was undertaken by the XYZ Contractor, there was a problem. Until the contractor issued a warning letter against the selected subcontractor because of delays in work. This research aims to examine the stages of selection subcontractors whether there is an error in decision making that causes delays work by subcontractor that selected as a partners.Therefore, decision makers need right selection methods. Multi Criteria Decision Making (MCDM) method is an appropriate method for the selection of several criteria. One of them is the Analytic Network Process (ANP) -Risk Assessment method.Based on the analysis using the ANP method ,sub-criteria with the highest priority weight is the bid price with a weight of 17.13%, The final results of the overall analysis showed that subcontractor B get in first place with a score 2,97. In this research subcontractor B has the highest value, which means that the subcontractor is feasible and accordance with the assessment of XYZ Company to be a partner to doing the steel construction work in this case study

Key Factors Influencing Talent Retention and Turnover in Convenience Stores: A Comparison of Managers’ and Employees’ Perspectives

This study identifies the main factors influencing turnover among convenience store employees from a managerial perspective and infers the changes necessary to reduce such high turnover rates. Employing the decision-making trial and evaluation laboratory (DEMATEL) methodology, it investigates the degree of mutual influence between evaluation indicators and constructs a network relation map for evaluation dimensions and criteria. This study also uses the DEMATEL-based analytic network process method to compute the influential weights of each dimension and criteria. According to the empirical results of the causality model, convenience store employees must first improve the relatedness dimension, and managers must first improve the existence dimension. These findings can help convenience store managers address talent retention and turnover problems, develop effective strategies to lower the high turnover rates at convenience stores, and offer solutions to new industry entrants to avoid potential problems that might lead to early exit.

Developing a Model Based on Sustainable Development for Prioritizing Entrepreneurial Challenges Under a Competitive Environment

In the post-recession period, the business environment in developing countries is still relatively undesirable. Based on the reports published, the number of closed entrepreneurs are significantly more than the number of those newly established. These statistics also reflect that the development of entrepreneurship faces several challenges. However, a strategic management program must be accurately conducted to effectively control entrepreneurial challenges based on the limitation of time and financial resources. On the other hand, the program should provide an appropriate opportunity for competitiveness by producing better quality goods and services successfully marketed to consumers. The aim of this paper is to propose a robust model with a high potential for evaluation of entrepreneurial challenges in order to identify and control the most critical ones. To achieve the aim, the most critical parameters should be identified to prevent wasting the resources. Likewise, the analytical network process (ANP) method, a branch of multi-criteria decision making (MCDM) techniques, is a powerful tool that can consider all interrelationships and interdependencies between criteria. On the other hand, neutrosophic sets are among the most widespread approaches in coping with vagueness and unknown environment. The methodology employed in this paper uses a combination model based on ANP and neutrosophic sets using sustainable development indicators to prioritize the challenges of entrepreneurship. The results show that the proposed model has a high potential to provide a process for decision-making under a vague environment.

Mapping the barriers of AI implementations in the public distribution system: The Indian experience

With increasing digitization, private organizations have started adopting modern technology to improve the effectiveness and transparency of their system. In countries like India, where most public services are under government control, technology adoption is nascent due to various obstacles. The study considered artificial intelligence (AI) the most popular technology and identified 18 critical adoption barriers in India's public distribution systems (PDS). The study is further extended to find the contextual relationship among barriers using interpretative structural modeling (ISM) and prioritize them using the analytical network process (ANP) method. The study identifies lack of trust in technology, lack of AI literacy, and political issues as significant barriers to AI adoption in PDS. The hybrid methodology used in this study proposed five different strategies for effective and smooth implementation of AI in PDS, which would help the policymaker plan the same.

Evaluation of Investment Alternatives With Analytical Network Process Method For A Sustainable Green Campus

Türkiye’de küresel ısınma, iklim değişikliği gibi nedenlerden dolayı ciddi sorunlar yaşanmaktadır. Şehirlerin iklim değişikliğinin olumsuz etkileriyle mücadele edilmesinde kendine özel ihtiyaçları olmasına ve tüm amaçlara hizmet edecek tek bir politika bulunmamasına rağmen, alınacak tedbirlerin mevcut şartlar altında optimal olması analitik yöntemlerle mümkündür. Bu yüzden küresel ağlar yoluyla bilgi edinmek ve uygulamaları deneyimlemek adına çeşitli fırsatları kısıtlı kaynaklar için optimal bir şekilde değerlendirmek gerekmektedir. Yapılan çalışmada mevcut fırsatlar değerlendirilerek, şehirleşmenin beraberinde getirdiği küresel iklim değişikliğinin çevreye verdiği olumsuz etkiler incelenmiştir ve alternatif çözüm arayışına girilerek kritik karar problemlerine analitik bir yöntemle model önerisinde bulunulmuştur. Önerilen çözüm modelinde, yeşil çatı, dikey bahçe, sürdürülebilir eğitim, elektrikli taşıtlar ve güneş panellerinin tamamını barındıran sürdürülebilir yeşil kampüs projesini hayata geçirerek toplumun çevreye olumsuz etkilerini azaltmak için Kırıkkale Üniversitesi Merkez Kampüsü’nde bu nitelikteki bir projenin yatırım alternatifleri değerlendirilmiştir. Projelerin hayata geçirilmesi için çeşitli kriterlere bağlı önceliklendirmeler Analitik Ağ Prosesi (ANP) yöntemi ile yapılmıştır. Yapılan çalışmada Kırıkkale Üniversitesi kampüsünün, sürdürülebilir yeşil kampüse geçiş sürecinde hayata geçirilmesi öngörülen ilk proje Dikey Bahçe Projesi olarak belirlenerek gelecekte yapılacak yeşil kampüs projelerine öncü olması hedeflenmiştir.

Analysis of factors affecting industrial symbiosis collaboration.

The rapidly increasing population causes an increase in consumption amounts day by day. This leads to negative effects such as the reduction of limited resources. In order to eliminate or reduce such negative effects, sustainable approaches are adopted for the future. Industrial symbiosis is one of these sustainable approaches. Industrial symbiosis is when two or more economic enterprises operating independently of each other form beneficial partnerships. In this study, the factors affecting industrial symbiosis collaboration were determined by literature review and by analyzing these factors; it is aimed to eliminate inefficiencies and to ensure the sustainability of established relations. The criteria determined are weighted with the Analytical Network Process method, which is one of the multi-criteria decision-making methods, and it is aimed to calculate the degree of importance and priority.

A GIS based flood vulnerability modelling of Anambra State using an integrated IVFRN-DEMATEL-ANP model

Flooding is a major environmental problem facing Anambra State of Nigeria, which also threatens food security in the state. To address this issue, continual flood vulnerability mapping exploring more efficient methods is needed to facilitate flood risk management in the state. The advantages of employing spatial information technologies such as Remote Sensing (RS) and Geographic Information System (GIS) in flood vulnerability mapping has been widely documented; the limitations of employing GIS alone in effective vulnerability analysis have also been documented by researchers. To overcome these limitations, this study adopted the use of GIS and the integration of Interval Value Fuzzy Rough Number (IVFRN), Decision Making Trial and Evaluation Laboratory (DEMATEL), and Analytical Network Process (ANP) method in vulnerability assessment of flood hazard. The result of the study shows that the state is very vulnerable to flood with 73% of the total area of the state lying between Very High and Medium vulnerable zones. The most vulnerable Local Government Area (LGA) in the State is Anambra West with 95% of the total area of the LGA lying between Very High and Medium vulnerable zones. Furthermore, the obtained values of R˜−D˜ show that Rainfall Intensity factor is the major cause of flood in the study area with the highest positive value of 1.55 and Soil factor is the major effect with the highest negative value of -0.93. The IVFRN-DEMATEL-ANP assessment model was validated using AUC-ROC method; an AUC value of 0.946 was obtained, this indicates that the model has excellent prediction accuracy. This study was able to establish the feasibility of integrating the IVFRN, DEMATEL and ANP methods in flood vulnerability assessment. It is recommended that the provision of adequate drainage systems should be prioritized to areas of high flood vulnerability index; to help mitigate flood hazards in the State. Also, strategic planning of infrastructures and emergency routes for moving people and key assets from vulnerable areas especially during the rainy season should be geospatial-based and systematic.

Model Sistem Pendukung Keputusan Penentuan Strategi Peningkatan Kinerja Guru Menggunakan Metode Analytic Network Process

All parties are aware that teacher performance is directly proportional to improving the quality of education. Not a few teachers work under predetermined work standards, conditions like this are caused by low work enthusiasm which results in decreased performance. If we observer the passion of work in the form of sine graph which one day will meet a saturation point if there are no preventive and curative efforts eithers form himself or guidance form his superior. One of the efforts taken is to impose teacher performance assessment to ensure a quality learning process at levels of education. Teacher performance appraisal needs to be carried out so that the functions and duties in the functional teacher positions and duties in the functional teacher positions are carried out by the applicable rules and code of ethics. On that basis, a decision support system was created using the Analytical Network Process method which can determine teacher performance improvement strategies, based on objective performance appraisals and make decisions that become more efficient.

A holistic model for measuring continuous innovation capability of manufacturing industry: a case study

PurposeThe purpose of this paper is to develop a comprehensive continuous innovation capability (CIC) measurement model in manufacturing sectors.Design/methodology/approachThe development of this CIC model was conducted through three stages of research, i.e. identification of manufacturing continuous innovation measures (MCIMs), development of measurement model, followed by model evaluation and validation. MCIMs were identified using systematic literature review and focus group discussion. Selection process for MCIMs employed the fuzzy Delphi method. To develop measurement model, contextual relationships between MCIMs were assessed using total interpretive structural modeling, followed by measurements of MCIMs weight with the analytical network process method. Then, assessment indicators for each MCIM and criteria were determined as well as mathematical model to measure CIC scores. Model evaluation and validation were performed in two case studies: in an automotive company and an electronics company.FindingsThis research produced 50 criteria and 103 assessment indicators, as well as mathematical model to measure CIC scores. The validation process showed that currently developed model was deemed valid.Practical implicationsThe results of this research are expected to provide a practical input for manufacturing company managers in managing their innovation activities systematically and comprehensively.Originality/valueThe CIC model is a new comprehensive measurement model; it integrates three fundamental elements of CI capability measurement, considering all important dimensions in a company and also able to explain contextual relationships between measured factors.

An Integrated Simulation and Virtual Cellular Manufacturing System Concept Approach for Maintenance Policy Selection

The main purpose of this study is to present a new hybrid approach to select the appropriate maintenance policy (NET) of machines utilizing analytic network process (ANP), computer simulation, and the concept of virtual cellular manufacturing system (VCMS). Since conventional methods select only one NET policy for all machines or production lines, the performance of machines that do not conform to the selected policy is reduced. In the proposed method, the information of the functional parameters of the machines is extracted by means of computer simulation and there is no need for expert opinion. Next, the appropriate net policy for each machine is selected using the ANP method. To reduce the diversity and complexity of NET applications, machines are grouped using the concept of virtual cellular manufacturing system based on the similarity of NET policies. A NET program is prepared for each group of machines. The proposed approach is used in a production unit with three widely used NET policies, and its efficiency was proved by comparing the results with conventional methods.