scholarly journals The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Learning Material Evaluation System

2019 ◽  
Vol 125 ◽  
pp. 23011 ◽  
Author(s):  
Ginanjar Setyo Permadi ◽  
Tanhella Zein Vitadiar ◽  
Terdy Kistofer ◽  
Ahmad Heru Mujianto
Keyword(s):  
Decision Making ◽  
Evaluation System ◽  
Analytic Network Process ◽  
Learning Material ◽  
Learning Materials ◽  
Web Based ◽  
Network Process ◽  
Good Learning ◽  
Materials Failure ◽  
The Right

Evaluate the learning that will be given or given to diagnose success and failure in understanding teaching materials. Failure to provide learning can be caused by the use of inappropriate teaching or media methods, and difficult language to convey. By applying information technology in evaluating learning materials, a web-based evaluation system can be developed to conduct assessments and as a way to improve the quality of learning materials with certain criteria. So that the problem of failure in the learning process can be known based on the learning material used. This study integrates the DEMATEL and ANP methods that support decision making by evaluating lecturer learning material to students. Based on the problems and explanations described earlier, the use of the DEMATEL and ANP methods is expected to assist in evaluating learning materials with the aim of always trying to provide good learning materials based on the right factors or criteria. The results of making an evaluation system aim to assess the suitability of learning materials with the criteria used as further improvement efforts and to find out where the lack of success in learning. Thus it can be sustainable between the objectives and the final results of teaching.

scholarly journals The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Safety Management System Evaluation Performance

2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo
Keyword(s):  
Decision Making ◽  
Management System ◽  
Evaluation System ◽  
Safety Management ◽  
Analytic Network Process ◽  
Performance Criterion ◽  
Questionnaire Data ◽  
Safety Management System ◽  
International Airport ◽  
Network Process

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.

scholarly journals Application of Multiattribute Decision-Making for Evaluating Regional Innovation Capacity

2020 ◽  
Vol 2020 ◽  
pp. 1-20 ◽  
Author(s):  
Yi Su ◽  
Dezhi Liang ◽  
Wen Guo
Keyword(s):  
Decision Making ◽  
Evaluation System ◽  
Analytic Network Process ◽  
Regional Innovation ◽  
Innovation Development ◽  
Research Institutes ◽  
Capacity Evaluation ◽  
Network Process ◽  
Output Efficiency ◽  
Innovation Capacity

The growing imbalance in regional innovation development has become an urgent issue in China’s strategy to build an innovative country. To enrich the regional innovation capacity evaluation system, scientifically assess regional innovation capacity, and explore available pathways to improve regional innovation capacity, this paper introduces a multiattribute decision-making method for evaluating regional innovation capacity. First, a random forest model and the DEMATEL-based analytic network process (DANP) method are applied to calculate the weights of the evaluation attributes. Second, the multiobjective optimization by the ratio analysis method based on the maximum and minimum (MOORA-min-max method) is used to calculate the evaluation attribute gap ratios and regional innovation capacity of each region. Finally, the limitations of regional innovation development are identified based on the evaluation attribute gap ratios and the critical influence strength roadmap (CISR) to explore the regional innovation capacity improvement pathways. The results show that “output capacity of R&D personnel in universities and research institutes” is the most fundamental evaluation attribute in the regional innovation capacity evaluation, while “output efficiency of R&D funds in universities and research institutes” is the most influential evaluation attribute. Research in Sichuan and Inner Mongolia reveals that regions need to identify critical constraints in four aspects: knowledge creation, knowledge acquisition, enterprise innovation, and innovation environment, to improve regional innovation capacity.

scholarly journals Matrix of pairwise comparison: decision making with the analytic network process

2019 ◽  
Vol 110 ◽  
pp. 02042
Author(s):  
Aliya Akhmadullina ◽  
Svetlana Vasilyeva ◽  
Tatyana Yakovleva ◽  
Svetlana Vopiyashina ◽  
Raisa Kraineva
Keyword(s):  
Decision Making ◽  
Environmental Planning ◽  
Pairwise Comparison ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Pairwise Comparison Matrix ◽  
Network Process ◽  
Qualitative Factors ◽  
The Right

This article describes a method for analyzing hierarchies; identifies the problems with inconsistent judgments. The proof is given that the most effective tool allowing one to make the right decisions with inconsistencies is the introduction of the eigenvector on environmental planning and management. The Analytic Hierarchy Process (AHP) is a method for decision making, which includes qualitative factors. In this method, ratio scales are obtained from ordinal scales, which are derived from individual judgments for qualitative factors using the pairwise comparison matrix. This paper describes the applicability of a multicriteria decision-making method, specifically, the analytic network process.

scholarly journals A hybrid multi-criteria decision making model for the vehicle service center selection with the aim to increase the vehicle fleet energy efficiency

2018 ◽  
Vol 22 (3) ◽  
pp. 1549-1561 ◽  
Author(s):  
Davor Vujanovic ◽  
Vladimir Momcilovic ◽  
Milos Vasic
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Maintenance Planning ◽  
Proposed Model ◽  
Network Process ◽  
Maintenance Work ◽  
The Right ◽  
Decision Making Model

In this paper is researched how to achieve an effective fleet maintenance planning in transport companies, which contributes in increasing the fleet energy efficiency and in achieving the companies? goal. Within the fleet maintenance planning, managers have to make the right decisions on the selection of vehicle service centers in the region where the maintenance work will be realized. The mentioned decision is affected by a number of different interdependent factors (criteria). Based on a survey, relevant factors (criteria) were defined. As defined factors are interdependent and differently influence the mentioned decision, an approach of decision making trial and evaluation laboratory (DEMATEL)-based analytic network process called DANP was applied. In this respect, authors propose a hybrid multi-criteria decision making model. The proposed model was applied in the companies to demonstrate how effective their managers are in the maintenance planning and how this effectiveness influences the fleet energy efficiency and fulfilment of companies? goal.

scholarly journals Location Selection of a Manufacturing Facility from the Perspective of Supply Chain Sustainability

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1418
Author(s):  
Sun-Weng Huang ◽  
James J.H. Liou ◽  
William Tang ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Process Model ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Entropy Method ◽  
Location Selection ◽  
Subjective Weight ◽  
Network Process ◽  
The Right

When threatened with catastrophic political or economic fluctuations, a firm might be forced to consider relocating their supply chain to reduce the risk. Such a relocation necessitates a series of changes, so making the right decision is crucial for sustainable development of the company. In the past, various models have been developed to help managers to select the optimal location. However, most of these considered the factors independently but in the real world, these factors have a mutually influential relationship. This study purposes a hybrid multiple criteria decision making (MCDM) model to provide decision makers with a comprehensive framework to evaluate the best strategies to solve relocation problems, which also considers the interdependency between criteria. The model incorporates the DANP (Decision Making Trial and Evaluation Laboratory-based Analytic Network Process) model (subjective weight) and entropy method (objective weight) to determine the weights of the criteria. Then, the modified VIKOR (VIšekriterijumsko Kompromisno Rangiranje) method is applied to select the optimal alternative for relocation. The usefulness of the model is demonstrated by taking an electronics manufacturing company with a global supply chain as an example. The results indicate that the proposed hybrid model can assist companies in choosing the best locations for their supply chains for sustained development.

MCDM Tools Application for Selection of Suppliers in Manufacturing Industries Using AHP, Fuzzy Logic and ANN

2015 ◽  
Vol 19 ◽  
pp. 130-137 ◽  
Author(s):  
S. Nallusamy ◽  
D. Sri Lakshmana Kumar ◽  
K. Balakannan ◽  
P.S. Chakraborty
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Supplier Selection ◽  
Manufacturing Industry ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Artificial Neural Network Ann ◽  
The Right ◽  
Selection Of

In manufacturing industry selection of right supplier (s) is one of the challenging activities. Supplier selection is the method of determining the appropriate suppliers to provide the right quality of products, at the right quantities, at the right price in the right time. During the last ten years based on the changes in the business sector, Multi-Criteria Decision Making (MCDM) has been one of the fastest growing areas. By choosing the best supplier, the companies can increase their productivity and also competitive advantage. In the earlier period, several methods have been proposed to solve the supplier selection problem, such as the linear weighting methods, the analytic network process, total cost approaches and mathematical programming techniques. Although the linear programming methods are simple, they are not accurate and more variations exist. So the latest multi-criteria decision making tools such as Analytical Hierarchy Process (AHP), Fuzzy Logic (FL) and Artificial Neural Network (ANN) are deeply studied. While selecting the best supplier, many criteria are involved. The criteria may be different for different approach. The decision makers always express their preferences on alternatives or on the attributes of supplier which can be used to help rank the supplier and choose the enviable one. In this article, application of fuzzy logic and AHP are discussed with case-studies and also presented the discussion about implementation of ANN for supplier selection.

scholarly journals Sistem Evaluasi Bahan Pembelajaran Menggunakan Metode DEMATEL dan ANP

2019 ◽  
Vol 9 (2) ◽  
pp. 228
Author(s):  
Ginanjar Setyo Permadi ◽  
Tanhella Zein Vitadiar ◽  
Terdy Kistofer
Keyword(s):  
Evaluation System ◽  
Learning Material ◽  
Process Data ◽  
Learning Materials ◽  
Good Learning ◽  
Alternative Ranking ◽  
Evaluation Of Learning ◽  
Interdependent Relationships ◽  
Pair Level

Evaluation of learning that will be given or is being given to diagnose success and failure in understanding teaching material. The failure to provide learning can be caused by the use of teaching methods or inappropriate media, and the delivery language that is difficult to understand. By applying information technology in evaluating learning materials, an evaluation system can be developed to assess and improve the quality of learning materials with certain criteria. So the problem of failure in the learning process can be known based on the learning material used. This study uses the DEMATEL and ANP methods as a basis for decision making by evaluating lecturer learning materials with a sample of 12 teachers. The DEMATEL method helps process data which is then forwarded by the ANP method in identifying interdependent relationships between criteria. With the use of the DEMATEL and ANP methods, it is expected to be able to assist in evaluating learning materials with the aim of always trying to provide good learning material based on factors or criteria that should be. The results of the study obtained a pair-level matrix Consistency Ratio (CR) value of 0.0661. Furthermore, calculating alternative ranking weights can be seen in Table 5. Furthermore, the results of the evaluation are used as further improvement efforts and to find out where there are unsuccessful outcomes in learning. Thus can be continuous between the objectives and the final results of teaching

scholarly journals Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Analytic Network Process ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Network Process ◽  
Second Tier ◽  
High Benefit ◽  
Decision Making Model ◽  
Selection Of

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

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