고신뢰조직(High Reliability Organization)은 동일한 조건에서 더 안정적으로 운영되는 조직이다. 언제 나 예측하기 어려운 환경이만 동일한 조건에서 보다 높은 성과를 내는 조직이 가지는 특징을 고신뢰 조직의 5가지 원칙으로 정의하였다. ‘실패사례에서 배우기’, ‘단순한 해석의 경계’, ‘운영상황에 집중’, ‘회복탄력성 높이기’, ‘전문가 중심’의 5가지 원칙을 통해 보다 높은 성과를 낼 수 있는 조직문화를 만들어 갈수 있다는 것이다. 사회적으로 문제가 되는 안전사고에 있어서도 마찬가지다. 발생된 안전 사고에 대해 이러한 원칙을 적용, 검토 해보면 고신뢰조직이 발휘하는 성과는 휠씬 높다는 것이 증명되고 있다. 모든 기업과 조직들이 고신뢰조직의 원칙을 조직문화로 자리잡게 하면 보다 안전하고 경쟁력 높은 조직이 될 것이다. 불확실성이 높은 환경일수록 고신뢰조직의 원칙은 그 가치를 높게 발휘할 수 있을 것으로 생각되며, 앞으로 이러한 고신뢰조직의 조직문화에 대한 연구와 적용을 넓혀가야 할 것으로 생각된다.

기계 중심의 자동차에 전기/전자 부품의 장착이 증가함에 따라 자동차 내 전기/전자(EE) 시스템에 대한 기능 안전 설계 요구가 대두되고 있다. IEC 61508 국제 표준은 모든 종류의 산업에 적용 가능한 기본적인 기능 안전 표준으로 작성되었다. 자동차 분야에서는 ISO 26262가 특화된 기능 안전 표준으 로 적용되고 있다. ISO 26262는 자동차의 기술적 복잡도 증가, 소프트웨어 내용 및 메카트로닉스 증가 추세와 함께 시스템적 고장(systematic failure)과 하드웨어의 우발 고장(random hardware failure)에 의한 리스크를 방지하기 위한 지침을 포함하고 있다. ISO 26262는 자동차 안전 수명 주기(관리, 개념, 시스템 개발, 하드웨어 개발, 소프트웨어 개발, 생산, 운용, 서비스, 폐기)를 제공하고, 각수명 주기 단계 별 필요한 안전 지침을 제공하고 있다. 최근 자율주행 차량(automatic driving) 및 전기자동차모빌 리티(e-mobility) 등에 대한 전 세계적 관심이 증가하고 이에 따른 기능 안전 설계의 중요성이 더욱 증가하는 시점에서 자동차 기능 안전에 대한 올바른 개념 이해는 자동차의 안전 설계를 넘어 자동차의 사용성 및 사용자 경험을 높이기 위한 기반을 마련하는 데 필수적이라 할 수 있다. 본 발표를 통해 자동차 안전 설계 개념을 이해하고, 안전 설계를 지원하고 보장하기 위한 아이디어를 제공하기를 기대한다.

최근 몇 년 사이에 가장 화두가 되는 단어는 단연 4차 산업혁명일 것이다. 인공지능, 가상/증강현실 구현, 모바일, 빅데이터 등 최신 ICT 기술은 인류 삶의 패러다임을 완전하게 바꾸어 놓았다. 이런 ICT기술의 진보는 국방분야에도 많은 영향을 미쳤고 이에 가장 민감하게 반응하고 변화하고 있는 분야가 국방 M&S분야일 것이다. 기술의 진보에 따라 사회환경이 변하듯 전장환경도 빠르게 변하고 있는 상황에서 본 주제발표에서는 미래를 예측하고 준비하는 국방 M&S분야의 현 주소와 발전방향을 제시하고자 한다.

A사는 발전 플랜트, 오수처리장, 취수, 정수, 배수장, Oil Plant 등 국가 기간 산업현장에서 사용되는 전동 액추에이터를 제조하고 있다. A사가 각 수요처별로 각기 다른 기능을 필요로 하는 Order에 대응하여 제품을 생산하고자 기존의 A사가 적용하고 있는 생산방식인 라인로트생산방식이 가지고 있는 문제점을 파악하여 개선하고자 한다. 본 연구를 통해 시장과 고객의 요구에 유연하게 대응할 수 있도록 다품종 소량생산에 적합한 셀 생산방식으로 변경을 통하여 생산유연화와 생산성향상을 이룰 수 있었다. 이러한 개선을 통하여 다변화하는 고객의 요구에 실시간으로 대응 할 수 있음은 물론이고 생산성향상과 그에 따른 이익창출을 이뤄낼 수 있는 계기가 될 것이다. 또한 A사의 생산 작업자의 업무 능력배양에 긍정적으로 작용하여 일을 하는 재미와 이에 따른 보상의 기대치를 높일 수 있는 계기로 작용하였다.

최근 4차 산업혁명이라는 기치아래, 인공 지능, 사물 인터넷, 스마트 공장, 협업 로봇, 3D 프린트, 무인 자동차 등에 이어 최근에는 블록체인이라는 기술과 함께 비트코인이라는 광풍이 한바탕 광풍처럼 지났지만 아직도 여운이 가시지 않은 상태이다. 4차 산업혁명으로 우리 이상의 모든 것을 송두리째 바뀌는 현상이 다가온다. 그럼 우리의 화두인 Project Management는 현재 어디쯤 와 있으며, 세상의 변화 흐름에 따라 어떻게 대처하여야 하는가에 대하여 생각을 해보기로 하자. 세상은 변화를 시도하고 있고 생존을 위하여 살아있는 모든 것들은 이러한 변화에 동참해야 한다. 당면한 변화의 흐름에 따라 Project Management도 새로운 패러다임의 형태 변화가 필요한 시점이 되었다. 여기에는 Project Success에 대한 정의부터 달라져야 할지도 모른다. 새로운 변화의 시대를 맞이하여 Project와 Project Management가 어떻게 달라져야 하는지에 대하여 알아보도록 하자.

The 4th industrial revolution is in its progressive form, and its effects are already being revealed throughout society. It has led to a variety of new technologies including artificial intelligence (AI), big data, Internet of Things (IoT), robotics, cyber-physical systems, biotechnology, 3D printers, drones, and Uber. The winds of this revolution are expected to bring many changes to the manufacturing industry. The low-growth global economy and a decline in productivity are prompting a 4th industrial revolution centered on Europe’s Germany, as it needed new growth engines. In Korea, manufacturing industries focused on labor and capital were the center of the industry. The goal was to pursue the first and second industrial revolution led by the developed countries, and to achieve what is called the “Miracle of the Han River”, “The Four Dragons for Asia”, and “The East Asian Miracle”. However, unlike the past, the 4th industrial revolution is not expected to bring about theoretical but substantial changes. The preparations and research into the 4th industrial revolution may seem to be ahead of the major countries, but unfortunately it is far behind the major ones. The United States, China, Germany and Japan are in the process of reorganizing the society, culture and economy in relation to the 4th industrial revolution. Korea`s economy, however, is showing a decline in the growth rate, with the exception of technical hardware and equipment and telecommunications. The 4th industrial revolution is an industry that requires highly specialized knowledge, information, and technology, and if it fails to respond to rapidly evolving technological changes and trends, it is bound to be relegated to the government's position. For small and medium sized manufacturers in particular, the longer the preparation is delayed due to poor environment, structural backwardness, lack of core competencies, and lack of innovation, the more likely they will adjust to social and technological changes caused by the 4th industrial revolution. Accordingly, it is necessary to enhance the importance of preparation for the 4th Industrial Revolution and to take strategic approaches to enhance the sophistication of technologies and the autonomy of small and medium sized manufacturing companies. In this study, we intend to study the manufacturing-ready effects of manufacturing industries based on the level of perception of the company’s 4th industrial revolution. For this purpose, 122 small and medium manufacturing companies were surveyed on the 4th industrial revolution. The survey was conducted for about four months from December 1, 2017 to March 31, 2018. In the case of small and medium sized manufacturing companies, a hypothesis was established on how the perception and preparation of the industrial revolution affects the direct preparation of the 4th industrial revolution. Three assumptions were presented depending on the level of perception of the 4th industrial revolution and the data were drawn from the questionnaire. When comparing the data to the hypothesis, small and medium manufacturing companies should be able to determine the level of interest they have in the 4th Industrial Revolution, and if they are not prepared to do so, they should be able to invest in a certain extent.

As carbon material is being developed the versatile one with merits of metal, non-metal, ceramic and plastic etc., it owes to the characters of light weight and strength comparing with other metal materials. Based on these characters it is applied to vehicle lightening and aerospace industry. Furthermore thermal function utilization, removal of environmental pollution material, prevention of water pollution and the area of medicine science combining into drug as well. Therefore in this study we analyze technology paradigm home and abroad for carbon material on the basis of its relative patents and consider the establishment of technology strategy for its business commercialization

The flow of the 4th Industrial Revolution calls for fundamental changes in the way of business pursued by manufacturing companies. In the service industry, various business models have been developed to include tangible products in services in order to secure differential competitive advantage in the market. Discussion of servitization and productization in academic research reflect the trends of these industries, and related researches are widely carried out in business administration, engineering, and design fields. In the meantime, customer value created by manufacturing companies and service companies has been proposed mainly about function, quality and utility of products or services. However, E3 Value (economic, ecological, experience), which is discussed from the viewpoint of product-service system (PSS), is newly recognized as an important factor in creating customer value. The purpose of this study is to develop a measurement model for the effects of product value, service value, and newly illuminated E3 Value on various business performance of a company. This study suggests a research model to extend the discussions on E3 Value, which was limited to concept studies and case studies, to empirical studies.

This study examined the current state of the representative support projects for each government that have been promoted to foster local industries. We have identified the changes and focus areas of the supporting industries in the biotechnology and medical industry sectors selected by each region. As a result, we found that most of the support for the bio and medical industry is concentrated in the industrial biotechnology field. We found that continued investment by governments and local governments had an impact on the growth of the biomedical industry In addition, an analysis of the results for 15 years (2002~ 2006) on sales and net profit (net loss) showed that productivity and growth were affected.

Recently, with the increase in demand for big data analysis, related techniques and tools are being developed, which makes it possible to utilize data that was difficult to analyze by traditional methods. Topic modeling is a useful technique for deriving topics from a vast amount of text, and is often used in research on trends and predictions of academic research or science and technology. However, the topic derived from the topic modeling is a combination of words presented on the basis of the frequency and probability of simultaneous occurrence, and cannot describe the importance or priority of each word. Therefore, in this study, we applied AHP (Analytic Hierarchy Process) technique to evaluate the priority of the result derived from topic modeling (Topic). In this study, bibliographic data (total of 15,888 articles) of academic researches related to consulting were collected and used in the analysis of this study in order to suggest prioritization method using Topic-Modeling and AHP.

The key to solving the race conflict problem is that you need to find a train profile of viable trains, that is, a schedule of integrated trains, in a sufficiently short time, while maintaining safe seizure. In the previous research, we proposed a two-step solution through partitioning and deconstruction of the problem and discretization of the path. However, this method has a limitation in that it cannot be applied only at the nodal point. In this study, we tried to obtain a train schedule that considers the safety profile and considers the more secure and microscopic viewpoint by overcoming the limitation of the existing model by continuously considering the speed profile without disassembling the problem. To do this, we propose a method of modeling the detailed schedule decision step as a continuous variable in the existing twostep solution and approximate the calculation based on several functions.

This paper will present a simulation-optimization model for the scheduling of multi-projects. The objectives of this research include the minimization of value added projects execution cost, project completion time, project tardiness, and underutilization of contracted or outsourced resources. It is the three-phase research. In first phase, a mathematical and simulation models will be developed for multi-objectives. In second phase simulation model will be coupled with genetic algorithm to form a simulation-optimization model. The efficiency of genetic algorithm (GA) will be improved simultaneously with fine-tuning and hybridizing with other algorithms. The third phase will involve the presentation of a numerical example for the real time application of proposed research. Solution of numerical obtained with fine-tuned and hybridized simulation integrated GA will be compared with already available methods of simulation-optimization. This research will be useful for the scheduling of projects to achieve the befits of high profit, effective resource utilization, and customer satisfaction with on time delivery of projects.

본 연구는 통합공정일정계획(Integrated Process Planning and Scheduling; IPPS)의 최적화를 위한 계산 효율성이 높은 탐욕적 휴리스틱과 유전알고리즘(Genetic Algorithm; GA)을 결합한 하이브리드형 유전 알고리즘을 제안한다. IPPS는 기존의 공정계획과 일정계획을 동시에 풀고자 하는 NP-Hard 문제이다. 특히, 본 연구에서 다루는 IPPS는 tool related constraints가 포함된 것으로서 전통적인 GA는 수행도중 infeasible schedule을 빈번히 발생시킨다. 제안하는 방법의 아이디어는 전체적인 schedule의 구조에 영향을 미치는 operation의 sequence와 machine의 결정은 GA의 procedure를 따르고, 목적함수의 부분계산이 가능한 tool과 Tool Access Direction(TAD)는 greedy heuristics을 통하여 infeasibility를 해소하자는 것이다. 이를 통하여 계산시간의 급격한 증가 없이 또는 기존에 비해 계산시간을 감소시키면서 좋은 품질의 해를 구할 수 있다. 본 연구에서 제안하는 알고리즘은 benchmark problems을 이용하여 성능을 평가한다.

An aircraft engine is supposed to be used for a specified lifespan, and it is reused through the depot maintenance for a major overhaul when its cumulative service life reaches the lifespan. However, the depot maintenance takes a long time due to the complexity of its process, and thus to continuously operate aircraft, spare engines are required to substitute engines under renovation. Considering the limited capacity of the depot, the uniformity of the quantity and cycle of engines entering the depot maintenance provides an opportunity to the decrease of the spare engines and the improvement of aircraft availability. It is the purpose of engine life management. Furthermore, in establishing flight plans, the time for essential maintenance activities, such as pre/post-flight inspection, servicing, the preparation for next flight, has to guarantee. Especially, fighters additionally require much time for installing weapons for their mission. That is, the rearming procedure can be left out if the adjoining missions are identical. Otherwise, the rearming time is varyingly spent depending on the types of adjacent duties. Therefore, this study proposes the mathematical model for an aircraft-mission assignment considering engine life management and maintenance schedule, and it is formulated based on the time-space network. Moreover, to verify and validate the model, an example was developed by applying realistic aircraft operating environment and simulation to perform air operations for several days was fulfilled. The experimental results presented flight plans corresponding to the purpose of this study, such as engine life management and the assurance of maintenance time.

Aircraft landing is a complex and challenging flight phase in which pilots are required to allocate attention efficiently to the surrounding environment. A comprehensive understanding of pilot situation awareness (SA) is needed for successful landing. This study was to predict pilot SA during landing using eye tracking data. The experiments were carried out with 5 repetitive simulated landings for four expert and four novice pilots using eye tracking equipment. Three eye tracking features (visit frequency, dwell time ratio, scan path entropy) were developed for reflecting three level of SA model (perception, comprehension, projection). Prediction of SA was performed by developing multiple regression model. Visit frequency of expert pilots was 138%, 47%, 85%, 67%, 117%, and 91% higher than novice pilots in RPM, VVI, altimeter, heading, airspeed, and attitude areas of interest (AOIs) respectively; while 50% and 33% lower in runway and outside AOIs respectively. Dwell time ratio of expert pilots was 38% and 42% higher than novice pilots in runway and outside AOIs respectively; while 62%, 62%, and 65% lower in altimeter, airspeed, and attitude AOIs respectively. Scan path entropy of expert pilots was 33% higher than novice pilots in outside AOI; while 29% lower in attitude AOI. Coefficient of determination for the prediction model for SA was 80.6%. The results of this study can be used as objective data of strategy establishment or training feedback for novice pilots.

One of the most performed actionin daily life is standing up from sitting position. As the population of the world is aging at the high rates, people may face problems with reduced muscle strength as well as psychological changes. This can lead elderly people having difficulties with standing up from chair. Now, with the aging trend worldwide, products are being developed that can support the lives of the elderly. This study examines the distribution of hip pressure in relation to the seating positions of the standing assistance seats under development to prevent standing up accidents in older adults. The currently developing standing assistant chair designed to tilt to a maximum angle of 25 degrees. At over 25°, design considers that older people are at risk of thrown back out of that force and that the forces exerted on their arms and legs can be a significant burden to older people. By considering danger of higher than 25° for older people which is experimented in the basis of static capturing approach in previous papers, it is experimented people with age group of 20~60 on 0° to 25° tilting angle on the basis of dynamic capturing method in order to pick convenient angle of inclination. Moreover, tried to find the optimum angle by comparing the hip pressure distribution when seated at the edge of the seat and at the center of the seat with the pressure distribution sensor.

Many studies can now confirm that the body growth of youths aged 6 to 17 is increasing due to changes in dietary habits and lifestyles in Korea. If the growth of youths increase continuously, many companies that make chairs for youths must prepare anything. Youth's chairs, which are being produced at present companies, are produced by companies with multiple data. Looking at this chair, it may not fit the body of youths of the future. It is necessary to change the design dimension of the chair for that. In this research, we try to predict how the body of youths in the future will become bigger by using physical data of youths aged 6 to 17 years old. Then, using the predicted physical data, we will propose the dimensions of the design of the chair for youth.

The International Organization for Standardization published ISO 9001 Quality Management System– Requirements in 1987 and has revised four times since then. ISO 9001:2015 is the latest edition. This latest edition has two most noticeable changes. The first major change of new edition focuses on performance with an emphasis on Risk-Based Thinking (RBT) to enhance the process approach. The new edition consists of ten clauses whose first three clauses are largely same as older edition but risks are clearly stated and stressed in last seven clauses, emphasizing on Plan-Do-Check-Act cycle at all levels in the organization. The second major change is that the new edition has the same overall structure as other ISO management system standards known as High Level Structure with Annex SL. In this article we aim to statistically analyze minor nonconformities found in different types of transition audits. We try to interpret the findings and summarize the implications of the statistical results.