scholarly journals SELECTION OF SURFACE TO SURFACE RUDAL KRI-KERAMBIT CLASS USING DEMATEL AND ANALYTIC NETWORK PROCESS METHODS

JOURNAL ASRO ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 162
Author(s):  
Supartono Supartono ◽  
Joko Purnomo ◽  
Siswo Hadi Sumantri ◽  
Wishnu Krestiawan
Keyword(s):  
Data Processing ◽  
Second Generation ◽  
Analytic Network Process ◽  
Previous Generation ◽  
Main System ◽  
Network Process ◽  
The Right ◽  
Selection Of

Indonesian Warship (KRI) is one of the Main System Weapons (defense equipment) owned by the Navy. In its2017 procurement, the Navy made a second generation Fast Ship Missile (KCR) made by PT PAL thatproduced more than the previous generation, both in terms of capacity and rich ships, named KRI KerambitClass. To support the battle, this KRI Kerambit Class will be equipped with a surface to surface missile (SSM) toimprove the ability to use maximum battleships. To be able to activate its function properly, it is necessary tochoose the right missile base weapon. The selection of alternative missile weapons over water requires analysisof information and collects important requirements about data from alternative weapons over the air. In additionto alternatives, it is expected that major criteria will be considered in the selection of the Weapons over the air.In making the decision to procure Weapons Over Water, where the conflict cannot be arranged in the form of ahierarchy because it requires interaction and higher level elements to lower level elements. Therefore in thisstudy the Trial Making and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) methodshave the ability to accommodate the interrelations between criteria or alternatives. Based on data processing,the Exocet MM 40 Block 3 has been selected. This missile has several advantages compared to other missiles,including launching at counters and missfire that is very low and has very good durability.Keywords: Missile Selection, DEMATEL, Analytic Network Process

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 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.

scholarly journals Applying analytical network process to the selection of financing method for abandoned construction projects in Iraq

2021 ◽  
Vol 14 (2) ◽  
pp. 62-70
Author(s):  
Huda Yaseen ◽  
Hafeth I. Naji
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Analytic Network Process ◽  
Construction Sector ◽  
Negative Effects ◽  
Analytical Network Process ◽  
Multiple Risks ◽  
Final Weight ◽  
Network Process ◽  
Selection Of

Construction projects are of a special nature affected by many factors, which makes them exposed to multiple risks that may lead to the abandonment of projects. Recently, the Iraqi construction sector is facing a number of problems. Abandoned construction projects are one of the most common and dangerous problems in the construction industry in Iraq, with their negative effects on stakeholders, the economy, and the environment due to the lack of sufficient financial and administrative capabilities to complete construction projects, which is reflected in exceeding the time limit for the completion of projects. The aim of this research is to use the analytic network process (ANP) technique to choose the best form of Public-Private Partnership (PPP) contracts to fund abandoned projects in Iraq. using a questionnaire survey to determine the most criteria and alternatives for selecting appropriate financing for the abandoned project. The results shown final weight of the Build-Own-Operate (BOO) contract from ANP is 0.533, which is the best form of PPP contract among the alternatives proposed to fund the project.

scholarly journals A New Comprehensive Approach for Efficient Road Vehicle Procurement Using Hybrid DANP-TOPSIS Method

2020 ◽  
Vol 12 (10) ◽  
pp. 4044
Author(s):  
Marko Stokic ◽  
Davor Vujanovic ◽  
Dragan Sekulic
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Technical Aspect ◽  
Selling Price ◽  
Topsis Method ◽  
Environmental Decision Making ◽  
Network Process ◽  
Order Preference ◽  
Vehicle Fleet ◽  
Selection Of

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.

scholarly journals Attributes-Based Decision Making for Selection of Requirement Elicitation Techniques Using the Analytic Network Process

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Requirement Engineering ◽  
Analytic Network Process ◽  
Software Project ◽  
Requirement Elicitation ◽  
Network Process ◽  
Decision Making Processes ◽  
Selection Of

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.

scholarly journals MENINGKATKAN PROSES BELAJAR MENGAJAR DENGAN MENGGUNAKAN SISTEM E-LEARNING STUDI KASUS SMP NEGERI 24 PADANG

2018 ◽  
Vol 10 (3) ◽  
pp. 1-10
Author(s):  
Yanti Yusman
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Learning Process ◽  
Management System ◽  
Analytic Network Process ◽  
Electronic Media ◽  
Network Process ◽  
Information And Communication ◽  
E Learning ◽  
The Right

There are some of students feel afraid to participate in learning, because there are some discussion or theme of learning is a problem that occurs in students of SMP Negeri 24 Padang Now this with Information and Communication Technology (ICT) learning process can be done through electronic media called e-learning. One way to use the right learning media so that students are more active to play a role in the learning process. As a medium that will be used by students and teachers then built Learning Management System with uses Analytic Network Process (ANP) method. Keywords: E-learning, ANP method

scholarly journals ANALYSIS OF MICRO INSURANCE MODELS FOR FISHERMANS (STUDY IN SUKABUMI AND PANGANDARAN PORT)

2019 ◽  
Vol 5 (2) ◽  
pp. 134
Author(s):  
Rimawati Rimawati ◽  
Tuti Kurnia ◽  
Anas Alhifni
Keyword(s):  
Financial Institutions ◽  
Analytic Network Process ◽  
Insurance Company ◽  
A Value ◽  
Insurance Product ◽  
Network Process ◽  
Micro Insurance ◽  
Insurance Model ◽  
The Right

This study aims to determine the response of fishermen to insurance, so it can be seen how the right insurance model for fishermen in order to support the accessibility of capital to financial institutions such as LKMS. The determination of the insurance model in this study uses the Analytic Network Process (ANP) method, where the decision is made by considering and validating empirical experience. The results of this study indicate that the most appropriate insurance model is Partner Agent with a value of 0.4774. Partners who are invited to work together in this regard are KUD Fishermen. The most appropriate insurance product is a Health Insurance product with a weight of 0.4878. Based on these results the researchers made several alternative microinsurance models in accordance with each category of fishermen including, the KUDN Partner Model for Small Fishermen, the Micro-ABK Model for Workers Fishermen, and the Full Service Insurance Company (LPPA) Model for Fishermen employer.

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