• 한국산림과학회지
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• 제95권5호
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• pp.569-579
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• 2006

This study focuses on the application of multi-criteria performance measures based on the concept of equifinality to the calibration of the rainfall-runoff model TOPMODEL in a small deciduous forest catchment. The performance of each parameter set was evaluated by six performance measures, individually, and each set was identified as a behavioral or non-behavioral parameter set by a given behavioral acceptance threshold. Many behavioral parameter sets were scattered throughout the parameter space, and the range of model behavior and the sensitivity for each parameter varied considerably between the different performance measures. Sensitivity was very high in some parameters, and varied depending on the kind of performance measure as well. Compatibilities of behavioral parameter sets between different performance measures also varied, and very few parameter sets were selected to be used in making god predictions for all performance measures. Since different behavioral parameter sets with different likelihood weights were obtained for each performance measure, the decision on which performance measure to be used may be very important to achieve the goal of study. Therefore, one or more suitable performance measures should be selected depending on the environment and the goal of a study, and this may lead to decrease model uncertainty.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.843-851
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• 2020

This study focuses on identifying and prioritizing the broader performance measures for the service supply chains by taking the case of Majan Electricity Company, Sohar, in the Sultanate of Oman. For an examination of the uniformity of ultimate objectives and the priorities therein, two strata of respondents with a total of fourteen respondents were approached for their valuable insights. Suitable structured instruments were personally administered to elicit the insightful and worthy responses. The two multi-criteria decision-making techniques, namely, the Fuzzy Analytical Hierarchy Process and the Best-Worst Method were used to reach a meaningful prioritization of the identified and refined broader performance measurement dimensions. The results show that there exists a minor gap between the two respondents' groups in terms of their prioritizations. The major finding points to the difference in terms of the topmost priorities as revealed by the two set of respondents. For one group of respondents, the customer satisfaction matters the most, whereas for the other group, it is the overall profitability that matters the most. This gap against the utopian state assists in concluding that there is a requirement to reorient the employees so as to have a shared and common understanding of the organizational priorities.

• Industrial Engineering and Management Systems
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• 제13권1호
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• pp.15-28
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• 2014

Evaluation of the implementation and performance of a firm's green supply chain management (GSCM) is an ongoing process. Balanced scorecard is a multi-criteria evaluation concept that highlights implementation and performance measures. The literature on the framework is abundant literature but scarce on how to build a hierarchical framework under uncertainty with dependence relations. Hence, this study proposes a hybrid approach, which includes applied interpretive structural modeling to build a hierarchical structure and uses the analytic network process to analyze the dependence relations. Additionally, this study applies the fuzzy set theory to determine linguistic preferences. Twenty dependence criteria are evaluated for a GSCM implemented firm in Taiwan. The result shows that the financial aspect and life cycle assessment are the most important performance and weighted criteria.

• Industrial Engineering and Management Systems
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• 제12권4호
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• pp.389-405
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• 2013

A facility layout design (FLD) problem can be generally introduced as assignment of facilities (departments) to a site such that a set of criteria are satisfied or some objectives are minimized (maximized). Hence, it can be considered as a multi-criteria problem due to the presence of qualitative criteria such as maintenance or flexibility and quantitative criteria such as the total cost of handling material. The VIKOR method was developed to solve multiple criteria decision making problems with conflicting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. This paper proposes a hierarchical analytic hierarchy process (AHP) and VIKOR approach to solve the FLD problem. A computer-aided layout-planning tool is adopted to generate the facility layout problems, as well as their quantitative data. The qualitative performance measures are weighted by AHP. VIKOR is then used to solve the FLD problem. Finally, the proposed integrated procedure is applied to three real-time examples.

• 대한인간공학회지
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• 제32권2호
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• pp.167-177
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• 2013

Objective: This study aims to compare the usefulness of subjective measures which are comprised of existing methods like NASA-TLX, Bedford-scale and ZEIS and newly developed method like DALI in measuring drivers' mental workload in terms of validity, sensitivity and diagnosticity. Background: Nowadays, with the development of intelligent vehicle and HMI, mental workload of driver has become more and more important. For this reason, the studies on drivers' mental workload about driving situation and the use of information technology equipment such as mobile phones and navigations were conducted intensively. However, the studies on measuring drivers' mental workload were rarely conducted. Moreover, most of studies on comparison of subjective measures were used with performance based measure. However, performance based measures can cause distraction effect with subjective measures. Method: Participants (N=19) were engaged in a driving simulation experiment in 2 driving contexts (downtown driving and highway driving context). The experiment has 2 sessions according to driving contexts. The level of difficulties by driving contexts were adjusted according to existence of intersections, traffic signs and signals, billboards and the number of doublings. Moreover, as criteria of concurrent validity and sensitivity, the EEG data were recorded before and during the sessions. Results: The results indicated that all subjective methods were correlates with EEG in high-way driving. On the contrary to this, in downtown driving, all subjective methods were not correlates with EEG. In terms of sensitivity, multi-dimensional scales (NASA-TLX, DALI) were the only ones to identify differences between high way and downtown driving. Finally, in terms of diagnosticity, DALI was the most suitable method for evaluating drivers' mental workload in driving context. Conclusion: The DALI as newly developed method dedicated to evaluate driver's mental workload was superior in terms of sensitivity and diagnosticity. However, researchers should consider the characteristics of each subjective method synthetically according to research objective by selecting the method in subjective measures. Application: The results of this study could be applied to the intelligent vehicle and next generation of HMI design to decrease mental workload of driver and for the development of new subjective method in vehicle domain.

• 한국의료질향상학회지
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• 제29권2호
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• pp.32-46
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• 2023

Purpose: Fire response education is critical for healthcare providers working in hospitals to ensure a safe environment for patients and staff. However, a comprehensive review that thoroughly examines the contents, methodologies, and outcomes of fire response education in hospitals is currently lacking. Methods: We conducted a scoping review by adhering to the framework proposed by Arksey and O'Malley. We searched five electronic databases for literature published after 1990, using the key categories of "hospitals," "fires," and "education." As a result, we identified 15 relevant articles that met our inclusion criteria for the review. Results: Of the 15 articles, 12 had adopted a quasi-experimental design and the remaining 3 had employed a true experimental design. The majority of these studies (11 out of 15) were conducted in the United States, with 4 studies forming committees or teams dedicated to education. Simulation methods were used in 13 studies, while 2 studies had employed a combination of methods. All studies focused on first-response procedures based on RACE (Rescue, Alarm, Contain, Extinguish/Evacuation). Outcome measures included the learners' overall experience, performance in the educational settings, and performance in the field, with all studies reporting positive results following the educational interventions. Conclusion: Our review highlights the importance of multi-professional and multi-departmental educational strategies based on institutional-level initiatives for healthcare providers to create a safe hospital environment.

• 대한교통학회지
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• 제31권5호
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• pp.3-15
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• 2013

본 연구에서는 고속도로 공사구간에 이동이 가능한 PVMS(Portable Variable Message Sign)를 일정 간격으로 설치하여 VSL을 구현하는 교통류 제어전략을 구성하여 공사구간에 어떠한 영향을 미치는지 파악하고자 하였다. 다기준 의사결정 기법 중 하나인 AHP기법 및 다기준 가치함수를 이용하여 교통소통, 교통안전, 환경을 대표하는 척도들을 동시에 고려할 수 있는 평가 방법론을 정립하였으며, VSL전략의 도입 전 후 개선효과를 도출하고 실시간으로 수집되는 교통량 및 중차량 혼입율을 고려한 최적 VSL전략 대안선정을 연구의 목표로 하였다. 개발된 평가 방법론을 통해 시뮬레이션 결과를 분석하였으며, 결과의 통계적 유의성 검정을 위해 분산분석을 수행하였다. 분석결과, VSL 대안 2(PVMS 400m간격)가 6개의 Case에서, VSL 대안 1(PVMS 200m간격)이 5개의 Case에서, VSL 대안 4(PVMS 800m간격)는 1개의 Case에서 최적 대안으로 도출되었다. VSL 대안 3(PVMS 600m간격)는 모든 Case에서 최적 대안으로 선택되지 않았으며 4개 Case에서 가장 안 좋은 대안으로 나타났다. 이는 VSL전략이 항상 개선된 효과를 보이지 않는 것을 의미하며 교통상황별로 적정 대안의 도입이 필요하다는 것을 나타낸다. 본 연구에서 시도된 AHP기법을 이용하여 여러 효과척도를 복합적으로 고려한 교통류관리전략 평가방법은 향후 다목적 의사결정방법의 교통류관리전략에 적용 시 하나의 예시가 될 수 있을 것으로 기대되며, 연구에서 제안하는 PVMS를 이용한 공사구간 VSL전략은 교통정보센터에서 실시간으로 수집되는 데이터를 통해 교통류 관리를 위한 운영 및 제어방안에 활용될 것으로 기대된다.

• 한국항해항만학회지
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• 제35권6호
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• pp.501-507
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• 2011

본 논문은 컨테이너 운송을 위한 AGV(Automated Guided Vehicle) 배차 전략을 대상으로 한다. AGV 배차 문제는 안벽 크레인의 대기 시간과 AGV의 주행 거리를 최소화하도록 AGV에 작업을 할당하는 것이 목표이다. 터미널 환경의 동적인 특성으로 인해 계획 결과의 정확한 예측이 어렵고 수정이 빈번하기 때문에 실무에서는 의사결정 시간이 짧은 단순 규칙 기반 배차가 많이 쓰인다. 그러나 단순 규칙 기반 배차는 근시안적 특성으로 인해 배차의 다양한 성능 지표를 만족시키지 못하는 한계가 있으며 이를 극복하기 위해 본 논문에서는 복수 규칙 기반의 배차 전략을 제안한다. 복수 휴리스틱 기반 배차 전략은 여러 규칙의 가중합으로 구성되며 규칙 사이의 가중치를 최적화하기 위해 다목적 진화 알고리즘을 적용하였다. 시뮬레이션 실험을 통해 제안 방안이 기존 단일 규칙 기반 배차에 비해 더 좋은 성능을 보임을 확인하였다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2011년도 춘계학술대회
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• pp.218-219
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• 2011

본 논문은 컨테이너 운송을 위한 AGV(Automated Guided Vehicle) 배차 전략을 대상으로 한다. AGV 배차 문제는 안벽 크레인의 대기 시간과 AGV의 주행 거리를 최소화하도록 AGV에 작업을 할당하는 것이 목표이다. 터미널 환경의 동적인 특성으로 인해 계획 결과의 정확한 예측이 어렵고 수정이 빈번하기 때문에 실무에서는 의사결정 시간이 짧은 단순 규칙 기반 배차가 많이 쓰인다. 그러나 단순 규칙 기반 배차는 근시안적 특성으로 인해 배차의 다양한 성능 지표를 만족시키지 못하는 한계가 있으며 이를 극복하기 위해 본 논문에서는 복수 규칙 기반의 배차 전략을 제안한다. 복수 휴리스틱 기반 배차 전략은 여러 규칙의 가중합으로 구성되며 규칙 사이의 가중치를 최적화하기 위해 다목적 진화 알고리즘을 적용하였다. 시뮬레이션 실험을 통해 제안 방안이 기존 단일 규칙 기반 배차에 비해 더 좋은 성능을 보임을 확인하였다.

• 대한교통학회지
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• 제26권5호
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• pp.175-184
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• 2008

도로용량 증대를 위한 소요예산 추정문제는 관련주체인 이용자와 공급자의 입장을 모두 반영할 필요가 있다. 본 연구에서는 총통행시간, 형평성, 환경비용을 평가지표로 설정하고, 3가지 평가지표에 대한 관련주체의 요구사항이 만족되는 대안 중 소요예산을 최소화하는 최적 도로용량 증대 대안을 선정하는 문제를 모형화하였다. 일반적으로 도로용량 증대를 위한 소요예산 추정문제는 Network Design Problem(NDP)로 다루어지며, 이용자와 공급자의 다른 입장을 고려하기 위해 Bi-level 최적화문제로 모형화된다. 본 연구에서는 장래 교통수요의 불확실성을 반영하기 위해 확률모형(Stochastic model)을 적용하고, 평가지표별 신뢰도를 차별화하기 위해 Chance-constrained model(CCM)를 적용하였으며, 3가지 평가지표의 제약식을 만족하면서 소요예산을 최소화하는 목적함수를 만족하는 최적대안을 선정하기 위해 렉시코그라픽(Lexicographic) 최적화문제로 접근하였다. 예제 네트워크를 통하여 분석한 결과, 평가지표별 신뢰도 및 교통수요 변화율이 클수록 더욱 많은 소요예산이 요구되며, 평가지표별 신뢰도가 클수록 장래 교통수요의 변화에 더욱 탄력적으로 대응할 수 있는 대안이 선정되었다. 제안된 모델은 다양한 관련주체의 입장을 모두 고려한 최적 도로용량 증대 대안과 소요예산을 선정함과 동시에, 도로용량 증대량의 변화에 따른 평가지표간 상쇄관계(Tradeoff)와 도로 네트워크 개선을 위한 예산 배분의 포트폴리오를 정책결정자에게 제공 가능하다.