• Title/Summary/Keyword: decision making method

Search Result 2,121, Processing Time 0.033 seconds

Method for Selecting a Big Data Package (빅데이터 패키지 선정 방법)

  • Byun, Dae-Ho
    • Journal of Digital Convergence
    • /
    • v.11 no.10
    • /
    • pp.47-57
    • /
    • 2013
  • Big data analysis needs a new tool for decision making in view of data volume, speed, and variety. Many global IT enterprises are announcing a variety of Big data products with easy to use, best functionality, and modeling capability. Big data packages are defined as a solution represented by analytic tools, infrastructures, platforms including hardware and software. They can acquire, store, analyze, and visualize Big data. There are many types of products with various and complex functionalities. Because of inherent characteristics of Big data, selecting a best Big data package requires expertise and an appropriate decision making method, comparing the selection problem of other software packages. The objective of this paper is to suggest a decision making method for selecting a Big data package. We compare their characteristics and functionalities through literature reviews and suggest selection criteria. In order to evaluate the feasibility of adopting packages, we develop two Analytic Hierarchy Process(AHP) models where the goal node of a model consists of costs and benefits and the other consists of selection criteria. We show a numerical example how the best package is evaluated by combining the two models.

An Integrated Multicriteria Decision-Making Approach for Evaluating Nuclear Fuel Cycle Systems for Long-term Sustainability on the Basis of an Equilibrium Model: Technique for Order of Preference by Similarity to Ideal Solution, Preference Ranking Organization Method for Enrichment Evaluation, and Multiattribute Utility Theory Combined with Analytic Hierarchy Process

  • Yoon, Saerom;Choi, Sungyeol;Ko, Wonil
    • Nuclear Engineering and Technology
    • /
    • v.49 no.1
    • /
    • pp.148-164
    • /
    • 2017
  • The focus on the issues surrounding spent nuclear fuel and lifetime extension of old nuclear power plants continues to grow nowadays. A transparent decision-making process to identify the best suitable nuclear fuel cycle (NFC) is considered to be the key task in the current situation. Through this study, an attempt is made to develop an equilibrium model for the NFC to calculate the material flows based on 1 TWh of electricity production, and to perform integrated multicriteria decision-making method analyses via the analytic hierarchy process technique for order of preference by similarity to ideal solution, preference ranking organization method for enrichment evaluation, and multiattribute utility theory methods. This comparative study is aimed at screening and ranking the three selected NFC options against five aspects: sustainability, environmental friendliness, economics, proliferation resistance, and technical feasibility. The selected fuel cycle options include pressurized water reactor (PWR) once-through cycle, PWR mixed oxide cycle, or pyroprocessing sodium-cooled fast reactor cycle. A sensitivity analysis was performed to prove the robustness of the results and explore the influence of criteria on the obtained ranking. As a result of the comparative analysis, the pyroprocessing sodium-cooled fast reactor cycle is determined to be the most competitive option among the NFC scenarios.

A Study on the Theory and its Case Study of Production Design - Focused on the Japanese Construction Projects - (생산설계의 이론과 적용 사례연구 -일본의 건축공사 프로젝트를 대상으로-)

  • Kim, Jin-Ho
    • Korean Journal of Construction Engineering and Management
    • /
    • v.6 no.5 s.27
    • /
    • pp.89-101
    • /
    • 2005
  • The early phase of construction projects, communication among the related participants has great influence on the further transaction of the projects. However, important decision making are made by the experience of the field managers in practice without the method for systematic analysis. For example, in building construction project, selection process for construction method has been executed by decision making of some architects dependent on their experience. As a result, there have been frequent construction method alterations during the construction process and delay of duration, addition of cost, etc have followed accordingly. The main reasons of such a mal-functional transaction are due to the absent of the reasonal procedure of decision making reflecting the characteristics of construction project. Therefore, there is a need for an supporting tool and production design for the selection of rational construction method. The objective of this study is to propose production design process and decision making model in relation to various influent factors at the early phase of construction projects. To achieve these objectives, this study 1)analyzes the prior theory about production design, 2)we have studied about selection process for optimal construction method through constraint analysis in structural works, 3)performs a case study to embody the problems of the production design, and 4)proposes a cooperative committee model for supporting production design by analyzing the results of case study and interviewing experts. It is anticipated that the effective tool of proposed model would be able to improve communication among the related participants and systematically accumulate data that might be used in similar construction projects.

A Study on Fusion and Visualization using Multibeam Sonar Data with Various Spatial Data Sets for Marine GIS

  • Kong, Seong-Kyu
    • Journal of Advanced Marine Engineering and Technology
    • /
    • v.34 no.3
    • /
    • pp.407-412
    • /
    • 2010
  • According to the remarkable advances in sonar technology, positioning capabilities and computer processing power we can accurately image and explore the seafloor in hydrography. Especially, Multibeam Echo Sounder can provide nearly perfect coverage of the seafloor with high resolution. Since the mid-1990's, Multibeam Echo Sounders have been used for hydrographic surveying in Korea. In this study, new marine data set as an effective decision-making tool in various fields was proposed by visualizing and combining with Multibeam sonar data and marine spatial data sets such as satellite image and digital nautical chart. The proposed method was tested around the port of PyeongTaek-DangJin in the west coast of Korea. The Visualization and fusion methods are described with various marine data sets with processing. We demonstrated that new data set in marine GIS is useful in safe navigation and port management as an efficient decision-making tool.

The Consumer Education’s Lesson Model in High Shool’ Home Economics for the Student to improve the Consumer’s Ability (소비자능력 향상을 위한 고등학교 가정과 소비자교육 수업모형 개발 연구)

  • 이수희
    • Journal of Korean Home Economics Education Association
    • /
    • v.9 no.1
    • /
    • pp.111-131
    • /
    • 1997
  • The purpose of this study is to develop the lesson model for high school students to improve their abilities as consumer. In the method of the research, the contents on consumer education of the 8 kinds of Home Economics textbooks are reconstructed into the areas of decision-making, financing, reasonable purchasing, and consumer citizenship. The consumer’s ability to be developed in the areas of decision-making, financing, reasonable purchasing, and consumer citizenship is set up as follows: 1) The establishment of the sound consumer morality and values, the ability of independent decision-making, the critical ability, and the problem-solving ability. 2) The ability of research on social, cultural and economic values, and the ability to estimate one’s own short-term and long-term life plan. 3) The ability of reasonable purchase. 4) The ability to participate in a consumer movement, and the ability to take good care of environment. Subsequently, 9 lesson models for the student to improve the consumer’ability are developed.

  • PDF

Process Progress Pattern Analysis based on Daily Work Report Analysis (작업일보 데이터 분석 기반 공정 진척 패턴 분석)

  • Ko, Yong-Ho;Shin, Young-Keun;Han, Seung-woo
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2016.05a
    • /
    • pp.156-157
    • /
    • 2016
  • Construction projects have shown a dramatic increase in size and complexity during the recent years that precise management has been recognized as one of key factors leading the project to success. It has been investigated that management in construction sites is generally done based on the experience of site engineers. Such experience based decision making lacks reliability that could bring disastrous results such as delay and cost overruns. The purpose of this study is to suggest a process progress pattern analysis method that is expected to be used as an objective reference for site managers to aid the decision making done regarding process progress management.

  • PDF

Making-Decision Method on Major Issues of Liquid Rocket Engine Development using Analytic Hierarchy Process (계층분석방법을 이용한 액체로켓엔진 개발의 주요 이슈에 대한 의사결정 방안)

  • Seo, Kyoun Su;Jeong, Eun Hwan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
    • /
    • 2017.05a
    • /
    • pp.1104-1107
    • /
    • 2017
  • In this paper, we focused on Analytic Hierarchy Process(AHP) as an efficient means of decision-making on the major issues that may arise during the liquid rocket engine development, reviewed the validity and applicability of the AHP through the problem of selecting the propellant of the liquid rocket engine.

  • PDF

Radioactive waste sampling for characterisation - A Bayesian upgrade

  • Pyke, Caroline K.;Hiller, Peter J.;Koma, Yoshikazu;Ohki, Keiichi
    • Nuclear Engineering and Technology
    • /
    • v.54 no.1
    • /
    • pp.414-422
    • /
    • 2022
  • Presented in this paper is a methodology for combining a Bayesian statistical approach with Data Quality Objectives (a structured decision-making method) to provide increased levels of confidence in analytical data when approaching a waste boundary. Development of sampling and analysis plans for the characterisation of radioactive waste often use a simple, one pass statistical approach as underpinning for the sampling schedule. Using a Bayesian statistical approach introduces the concept of Prior information giving an adaptive sample strategy based on previous knowledge. This aligns more closely with the iterative approach demanded of the most commonly used structured decision-making tool in this area (Data Quality Objectives) and the potential to provide a more fully underpinned justification than the more traditional statistical approach. The approach described has been developed in a UK regulatory context but is translated to a waste stream from the Fukushima Daiichi Nuclear Power Station to demonstrate how the methodology can be applied in this context to support decision making regarding the ultimate disposal option for radioactive waste in a more global context.

A PROFIRABILITY MODEL BASED ON PRIMARY FACTOR ANALYSIS IN THE EARLY PHASE OF HOUSING REDEVELOPMENT PROJECTS

  • Kyeong-Hwan Ahn;U-Yeong Gim;Jong-Sik Lee;Won Kwon;Jae-Youl Chun
    • International conference on construction engineering and project management
    • /
    • 2013.01a
    • /
    • pp.497-501
    • /
    • 2013
  • An important decision-making element for the success of housing redevelopment projects is a prediction of the profitability of redevelopment. Risk factors influencing profitability were deduced through a review of the literature about profitability and a risk analysis developed by a survey of maintenance projects. In addition, a profitability prediction depending on the analysis of risk factors is necessary to judge the business feasibility of a project in the planning stages. A profitability prediction model of management and disposal method, which is calculated by proportional rate and which helps estimate contributions to profitability, is proposed to prevent difficulties in business development. The proposed model has the potential to prevent interruptions, reduce the length of projects, generate cost savings, and enable rational decision-making during the project period by allowing a judgment of profitability at the planning stage.

  • PDF

An Application of the Analytical Hierarchy Process (AHP) for Safety measurement in Malaysian Construction Industry

  • Samad Doostdar;Zubaidah Ismail
    • International conference on construction engineering and project management
    • /
    • 2013.01a
    • /
    • pp.66-73
    • /
    • 2013
  • Analytical Hierarchy Process (AHP) is a famous method amongst Multi Criteria Decision Making (MCDM), set up by Saaty in 1980. AHP can be determined as a methodology of hierarchical analysis following reasonable decision making with make simpler a difficult crisis. Decision making in systems of Safety management concerned multipart challenges. AHP is process for get better the composite decisions understanding with analyzes of the problem in a structure of hierarchy. The integration all of applicable decision criteria, their pair wise judgment permits the decision maker to establish the trade-offs amongst objectives. In recent years, Malaysian's economy and infrastructure development have significantly and rapidly risen. The construction industry continues to play a major role in this development as many construction activities have been carried out to meet the high demands of the expansive market. However, the construction industry has faced a wide range of challenges, one of which is the frequent occurrences of accidents at the workplace. An effective safety program can substantially reduce accidents because it can help management to build up safer means of operations and create safe working environments for the workers. Furthermore, by having an effective safety programs, good safety culture can be embedded in organization because it can encourage mutual cooperation between management and workers in the operations of the programs and decisions that affect their safety and health. The focus of this research is development methodology of Analytics Hierarchy Process (AHP) in construction safety factors and investigates the levels of some effective elements in SMS in Malaysian construction industries.

  • PDF