• Title/Summary/Keyword: Decision-making time

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A decision making framework model for the selection of a RP using hybrid multiple attribute decision making techniques (3차원 조형장비 선정을 위한 복합 다요소 의사결정 구조 모델 개발에 관한 연구)

  • Byun, Hong-Seok
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.7 no.3
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    • pp.87-95
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    • 2008
  • The purpose of this study is to provide a decision support to select an appropriate rapid prototyping(RP) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model for molding, material property, build time and part cost that greatly affect the performance of RP machines. However, the selection of a RP is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate RP machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify RP machines that the users consider. After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of RP machines.

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Decision Making Experience on Breast Reconstruction for Women with Breast Cancer (한국 유방암 여성들의 유방재건술에 관한 의사결정 경험)

  • Yi, Myungsun;Joung, Woo Joung;Park, Eun Young;Kwon, Eun Jin;Kim, Haejin;Seo, Ji Young
    • Journal of Korean Academy of Nursing
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    • v.46 no.6
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    • pp.894-904
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    • 2016
  • Purpose: The purpose of this study was to explore decision making experiences of Korean women with breast cancer who underwent breast reconstruction with/after a mastectomy. Methods: Data were collected during 2015-2016 through individual in-depth interviews with 10 women who had both mastectomy and breast reconstruction, and analyzed using phenomenological method to identify essential themes on experiences of making a decision to have breast reconstruction. Results: Five theme clusters emerged. First, "expected loss of sexuality and discovery of autonomy" illustrates various aims of breast reconstruction. Second, "holding tight to the reputation of doctors amid uncertainty" specifies the importance of a trust relationship with their physician despite a lack of information. Third, "family members to step back in position" describes support or opposition from family members in the decision making process. Fourth, "bewilderment due to the paradox of appearance-oriented views" illustrates paradoxical environment, resulting in confusion and anger. Lastly, "decision to be made quickly with limited time to oneself" describes the crazy whirling process of decision making. Conclusion: Findings highlight aims, worries, barriers, and facilitators that women with breast cancer experience when making a decision about breast reconstruction. Deciding on breast reconstruction was not only a burden for women in a state of shock with a diagnosis of breast cancer, but also an opportunity to decide to integrate their body, femininity, and self which might be wounded from a mastectomy. These findings will help oncology professionals provide effective educational counselling before the operation to promote higher satisfaction after the operation.

A Study on the Information Seeking and Utilization of College Students at the Time of Their Political Decision Making During Elections (정치적 의사결정이 필요한 선거기간동안 대학생의 정보 탐색 및 활용에 관한 연구)

  • Lee, Jeong-Mee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.28 no.1
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    • pp.293-315
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    • 2017
  • This study investigated how college students seek and use information sources at the time of their decision making (especially during elections on this study). More than 360 students in 12 colleges located in Seoul were randomly selected and participated in this study. The survey asked them what kind of information sources they use at the time of their decision making as well as when they use information as usual. Several criteria for information evaluation were adopted to analyze information attributes and information seeking behavior of the population. Compare to the previous studies, Internet resources are more used than ever, information credibility and authority affected more to the population's political decision making. Additional examinations were executed to see deeper story of their information seeking at the end.

Technology Valuation Method Selection using Axiomatic Design (공리적 설계를 이용한 기술가치평가방법의 선정)

  • 문병근;조규갑
    • Proceedings of the Technology Innovation Conference
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    • 2003.02a
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    • pp.191-199
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    • 2003
  • It is critical to select an appropriate technology valuation method when the characteristics of a technology and valuation environment are variable. To ensure high quality decision making when selecting a technology valuation method, it is necessary to understand the principles of a good technology valuation method, and define and apply a decision making theory for selecting an optimal method. The authors propose that Axiomatic Design Principles can be applied as a decision making theory. In order to apply Axiomatic Design for this problem, this paper describes four domains(customer, functional, physical, and process domain) and four axioms(independence, information, cost, time axiom) for the decision making process for the optimal technology valuation method. The result of this study will contribute flexibility to the dynamic technology valuation process.

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Cloud Computing Adoption Decision-Making Modeling Using CART (CART 방법론을 사용한 클라우드 컴퓨팅 도입 의사 결정 모델링)

  • Baek, Seung Hyun;Chang, Byeong-Yun
    • Journal of the Korea Society for Simulation
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    • v.23 no.4
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    • pp.189-195
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    • 2014
  • In this paper, we conducted a study on place-free and time-free cloud computing (CC) adoption decision-making model. Panel survey data which is collected from 65 people and CART (classification and regression tree) which is one of data mining approaches are used to construct decision-making model. In this modeling, there are 2 steps: In the first step, significant questions (variables) are selected. After that, the CART decision-making model is constructed using the selected variables. In the variable selection stage, the 25 questions are reduced to 5 ones. The benefits of question reduction are quick response from respondent and reducing model-construction time.

A Study on Time Measurement on Navigator's Situation Awareness and Decision Making (항해사 상황인식과 의사결정에 관한 시간 측정에 관한 연구)

  • Sang-A Park;Hong-Tae Kim;Deuk-Jin Park;Jeong-Bin Yim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.194-195
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    • 2023
  • Recently, Maritime Autonomous Surface Ship(MASS) technology has attracted attention as a key technology for ship safety, efficiency, and economic feasibility in the marine field. Decision-making by the navigator's Situation Awareness (SA) for remote control on shore is expected to play an important role in ship collision avoidance. In this study, the navigator's decision-making time for the collision situation was measured.

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Corps-Level War-Game Model (군단급 워${\cdot}$게임모델)

  • Oh, Hyung-Jae
    • Journal of the military operations research society of Korea
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    • v.3 no.1
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    • pp.51-82
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    • 1977
  • Decision making is a function of many variables, but among these, human burden (soft-ware) and machine burden (hard-ware) are critical. Decision Maker is rather concerned with the soft-ware and just wants to have machine calculate the quantitative arithmetic involved in the decision-making study, because he is responsible for that decision whether or not he knows details about the techniques used by his staffs. From the point of these considerations, computer-assisted war game model has its significance in military decision making. The major outcome of this model is time-phased FEBA movement. FEBA is moved mainly by the ratio of the Index of Combat Effectiveness (ICE). To calculate ICE, Ground Forces are concerning the Index of Firepower (IFP) of individual weapons and in the case of Air Force, sorties are allocated into each sector, and added to the Ground Force IFP. With the ratio of total ICE, FEBA is moved according to the War Game Tables and process is repeated after consideration of casualties. This model is used by IBM-370/135 in MND computer room and also tested by IBM-3741/3717 established at ROKA HQ.

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Flexible Decision-Making for Autonomous Agent Through Computation of Urgency in Time-Critical Domains (실시간 환경에서 긴급한 정도의 계산을 통한 자율적인 에이전트의 유연한 의사결정)

  • Noh Sanguk
    • Journal of KIISE:Software and Applications
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    • v.31 no.9
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    • pp.1196-1203
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    • 2004
  • Autonomous agents need considerable computational resources to perform rational decision-making. The complexity of decision-making becomes prohibitive when large number of agents are present and when decisions have to be made under time pressure. One of approaches in time-critical domains is to respond to an observed condition with a predefined action. Although such a system may be able to react very quickly to environmental conditions, predefined plans are of less value if a situation changes and re-planning is needed. In this paper we investigate strategies intended to tame the computational burden by using off-line computation in conjunction with on-line reasoning. We use performance profiles computed off-line and the notion of urgency (i.e., the value of time) computed on-line to choose the amount of information to be included during on-line deliberation. This method can adjust to various levels of real-time demands, but incurs some overhead associated with iterative deepening. We test our framework with experiments in a simulated anti-air defense domain. The experiments show that the off-line performance profiles and the on-line computation of urgency are effective in time-critical situations.

Development and Evaluation of Shared Medical Decision-Making Scale for End-of-Life Patients in Korea (한국형 공유 의료적 의사 결정 측정도구 개발 및 평가)

  • Jo, Kae-Hwa
    • Journal of Korean Academy of Nursing
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    • v.42 no.4
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    • pp.453-465
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    • 2012
  • Purpose: The study was done to develop a shared decision-making scale for end-of-life patients in Korea. Methods: The process included construction of a conceptual framework, generation of initial items, verification of content validity, selection of secondary items, preliminary study, and extraction of final items. The participants were 388 adults who lived in one of 3 Korean metropolitan cities: Seoul, Daegu, or Busan. Item analysis, factor analysis, criterion related validity, and internal consistency were used to analyze the data. Data collection was done from July to October 2011. Results: Thirty-four items were selected for the final scale, and categorized into 7 factors explaining 61.9% of the total variance. The factors were labeled as sharing information (9 items), constructing system (7 items), explanation as a duty (5 items), autonomy (4 items), capturing time (3 items), participation of family (3 items), and human respect (3 items). The scores for the scale were significantly correlated among shared decision-making scale, terminating life support scale, and dignified dying scale. Cronbach's alpha coefficient for the 34 items was .94. Conclusion: The above findings indicate that the shared decision-making scale has a good validity and reliability when used for end-of-life patients in Korea.

The Decision Making Strategy for Determining the Optimal Production Time : A Stochastic Process and NPV Approach (최적생산시기 결정을 위한 의사결정전략 : 추계적 과정과 순현재가치 접근)

  • Choi, Jong-Du
    • Journal of the Korean Operations Research and Management Science Society
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    • v.32 no.1
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    • pp.147-160
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    • 2007
  • In this paper, the optimal decision making strategy for resource management is viewed in terms of a combined strategy of planting and producing time. A model which can be used to determine the optimal management strategy is developed, and focuses on how to design the operation of a Markov chain so as to optimize its performance. This study estimated a dynamic stochastic model to compare alternative production style and used the net present value of returns to evaluate the scenarios. The managers in this study may be able to increase economic returns by delaying produce in order to market larder, more valuable commodities.