• 산업경영시스템학회지
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• 제44권3호
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• pp.192-206
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• 2021

The pharmaceutical industry is an industry that provides medicines related to the health and life of the people. The pharmaceutical industry is a traditional regulation industry with the characteristics of R&D(Research and Development), purchasing, manufacturing, distribution and consumption under strict government management. Until now, pharmaceutical companies have continued to make efforts to maintain competitiveness through patent management, new product development, and marketing. However, industries are rapidly changing, including rising costs for developing new products and expanding generic markets. As these changes and uncertainties in the management environment increase, efforts are required to improve the competitiveness of the pharmaceutical industry from a new perspective. In this study, we intend to examine the impact of SCM(Supply Chain Management) dynamic capability of pharmaceutical companies on corporate performance through partnerships to respond to market changes and uncertainties. It was determined that the agility, visibility and flexibility that constitutes the SCM dynamic capabilities would affect the performance of pharmaceutical companies. In this study, the importance of SCM dynamic capabilities and cooperative relationships was identified through surveys by SCM managers of pharmaceutical companies. Consequently, in the pharmaceutical industry, which is a regulatory industry, we have identified that SCM dynamic capabilities and cooperative relationships with partner companies have a significant impact on corporate performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권7호
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• pp.1951-1975
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• 2023

Recent advances in Cognitive Radio Networks (CRN) have elevated them to the status of a critical instrument for overcoming spectrum limits and achieving severe future wireless communication requirements. Collaborative spectrum sensing is presented for efficient channel selection because spectrum sensing is an essential part of CRNs. This study presents an innovative cooperative spectrum sensing (CSS) model that is built on the Firefly Algorithm (FA), as well as machine learning artificial neural networks (ANN). This system makes use of user grouping strategies to improve detection performance dramatically while lowering collaboration costs. Cooperative sensing wasn't used until after cognitive radio users had been correctly identified using energy data samples and an ANN model. Cooperative sensing strategies produce a user base that is either secure, requires less effort, or is faultless. The suggested method's purpose is to choose the best transmission channel. Clustering is utilized by the suggested ANN-FA model to reduce spectrum sensing inaccuracy. The transmission channel that has the highest weight is chosen by employing the method that has been provided for computing channel weight. The proposed ANN-FA model computes channel weight based on three sets of input parameters: PU utilization, CR count, and channel capacity. Using an improved evolutionary algorithm, the key principles of the ANN-FA scheme are optimized to boost the overall efficiency of the CRN channel selection technique. This study proposes the Artificial Neural Network with Firefly Algorithm (ANN-FA) for cognitive radio networks to overcome the obstacles. This proposed work focuses primarily on sensing the optimal secondary user channel and reducing the spectrum handoff delay in wireless networks. Several benchmark functions are utilized We analyze the efficacy of this innovative strategy by evaluating its performance. The performance of ANN-FA is 22.72 percent more robust and effective than that of the other metaheuristic algorithm, according to experimental findings. The proposed ANN-FA model is simulated using the NS2 simulator, The results are evaluated in terms of average interference ratio, spectrum opportunity utilization, three metrics are measured: packet delivery ratio (PDR), end-to-end delay, and end-to-average throughput for a variety of different CRs found in the network.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 춘계학술대회 논문집
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• pp.1327-1335
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• 2011

Recently, also in railway vehicles, related products are being designed and manufactured through RAMS activities in order to secure their reliability, availability, maintainability & safety. Subway operators are conducting R&D on various preventive maintenance methods and applying them to the field so as to establish a reliability centered maintenance(RCM) system. In this connection, manufacturers shall carry out R&D based on reliability from the first design stage of development to provide high quality products to subway operators. And operators shall have the products operated properly to their particular operating environment and managed based on the standard maintenance manual. Not only that, but the related field data shall be fed back into the manufacturers to upgrade upcoming products by organic cooperation between manufacturer and operators. However, the mutually beneficial cooperative relationship is not still developed in the domestic railway industry. In terms of methodology for life prediction, this study was intended to analyze field data on relays used for rolling stocks considering operational characteristics in the position of subway operators and predict parts reliability using reliability prediction program from the standpoint of manufacturers as well.

• 무역상무연구
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• 제48권
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• pp.101-125
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• 2010

CEPA(Comprehensive Economic Partnership Agreement, hereinafter CEPA) between India and Korea may influence some changes on Korean pharmaceutical industry which shows less competitive advantages than Indian industry in many regards. So the purpose of this paper remains on suggesting the way of enhancing international competitiveness for Korean industry on the basis of double diamond model. Through the comprehensive and deep analysis, our findings on recommendable business strategies for Korea are as follows ; in terms of factor conditions, first, cooperative strategy in R&D for developing generics will be required. Second, Introduction of CMO business can be considered. In terms of demand condition, Korean firms should find out the chance for demand creation in Indian market which has future market potential and American market exploration, as soon as possible. With regards to strategy, structure and competition, trying M&A with leading Indian companies and utilizing well organized medical professionals in India will be considered. In the points of related and supportive parts, lastly, Korean government should try to make so called "National Strategic R&D committee" for pharmaceuticals and bring u-healthcare service to Korea in the first place. If Korean pharmaceutical industry implement above-mentioned strategies, CEPA can be turned into business opportunities from the crisis. As a result, Korean firms shall have more powerful global competitiveness eventually.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 1998년도 제13회 하계학술발표회 논문집
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• pp.226-249
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• 1998

Technology diffusion policy can be defined as the role of government in linking knowledge production with usage. It has an importance due to the fact that linking knowledge between the producing agent and using agent does not automatically occur. If knowledge produced by an R&D agent is not used by somebody else, the knowledge may deteriorate to a social loss since knowledge production consumes a considerable degree of social resources. Explicit technology diffusion policies are not found in Korea. There we, however, a number of implicit policies to promote technology diffusion, mainly by promoting cooperation among universities, industries and research institutes. Government R&D programs have provided incentives for cooperative research projects, and many government sponsored institutes have been assigned the role of technology assistance for small and medium sized firms. Nevertheless, diffusion policies remain weak in comparison to other innovation and technology policies. This is reflected in the relatively small scale of government support for technology diffusion programs. In addition, there is no systematic approach between the different ministries for enhancing diffusion across technologies, institutions, sectors and regions. A comprehensive evaluation of government diffusion programs, which is necessary for improving policy and program design, is lacking. Enhancing the diffusion of technology in Korea will require the strengthening of policies at different levels, including; 1) increasing the orientation of science and technology policies towards diffusion; 2) increasing the scale of existing diffusion programs; 3) developing new diffusion programs, in particular sector-specific or manpower training programs; 4) developing policies to encourage a culture of cooperation that can facilitate technology diffusion; and 5) carrying out substantial policy research to develop diffusion policies.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2017년도 하계학술대회 논문집
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• pp.101-122
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• 2017

4차 산업혁명으로 대변되는 기술과 산업의 패러다임 변화에 따라 기업의 R&D가 미래 성장 동력원의 핵심 역량으로 진화하고 있다. 이에, 기술전략수립 체계의 효과적 운영을 위한 기술경영에 대한 관심이 증가하고 있으며, 관련분야를 중심으로 유기적 관계 형성의 중요성 또한 증가하고 있다. 이러한 유기적 관계형성을 통한 기업과 대학간 상생을 위하여 대학에서는 가족회사제도를 운영하고 있으며, 이를 통해 기업과 대학간 인적 물적 자원을 체계적으로 공유하는 맞춤형 산 학협력체제를 구축하고 있다. 특히, 기술경영분야는 기업의 가치지향적 기술전략 수립을 위해 가족회사제도의 효과적이고 효율적인 운영이 필수적이다. 본 논문에서는 부경대학교 기술경영전문대학원에서 운영중인 가족회사제도의 운영현황을 분석한다. 그리고, 동남권 기업들의 기술경영 혁신 역량 확보를 위한 가족회사제도 활성화 방안을 제시한다.

• 한국컴퓨터정보학회논문지
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• 제29권1호
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• pp.11-19
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• 2024

멀티에이전트는 전장 교전 상황, 무인 운송 차량 등 다양한 실제 협동 환경에 사용될 수 있다. 전장 교전 상황에서는 도메인 정보의 제한으로 즉각적인 보상(Dense Reward) 설계의 어려움이 있어 명백한 희소 보상(Sparse Reward)으로 학습되는 상황을 고려해야 한다. 본 논문에서는 전장 교전 상황에서의 아군 에이전트 간 협업 가능성을 확인하며, 희소 보상 환경인 Multi-Robot Warehouse Environment(RWARE)를 활용하여 유사한 문제와 평가 기준을 정의하고, 강화학습 라이브러리인 Ray RLlib의 QMIX 알고리즘을 사용하여 학습 환경을 구성한다. 정의한 문제에 대해 QMIX의 Agent Network를 개선하고 Random Network Distillation(RND)을 적용한다. 이를 통해 에이전트의 부분 관측값에 대한 패턴과 시간 특징을 추출하고, 에이전트의 내적 보상(Intrinsic Reward)을 통해 희소 보상 경험 획득 개선이 가능함을 실험을 통해 확인한다.

• 농업과학연구
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• 제42권3호
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• pp.245-251
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• 2015

Records of 490,767 cows collected from 1990 to 2012 by dairy herd milk test of National Agriculture Cooperative Federation The pedigree of dairy cattle were provided by Korea Animal Improvement Association. The data were used to analyze the longevity of dairy cows with the life traits such as days in milk, number of lactation, productive life, and life span. The data were also used to investigate genetic relationship of these longevity traits with profitability of dairy cows, including heritability and genetic correlation. The profitability was calculated with simulation of milk income and production costs for individual cows. Days in milk among the traits had -0.287, -0.572 and -0.536 of genetic correlation with number of lactations, productive life and lifespan, respectively. The heritabilities of life span, number of lactations, productive life, and days in milk were found to be 0.045, 0.047, 0.059 and 0.081, respectively. Genetic correlations of profit with productive life, number of lactations, and days in milk were identified as 0.072, 0.080, 0.098 and 0.101. These results suggested that days in milk was most desirable traits to represent longevity of Holstein dairy cattle. In general, since longevity and profitability were close genetic relationship each other, genetic improvement of longevity is necessary for better profitable cows.

• 기술혁신학회지
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• 제14권3호
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• pp.431-465
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• 2011

본 연구는 기술혁신 역량을 강화하기 위한 중요한 프레임워크로 논의되고 있는 개방형 혁신에 초점을 맞춰 개방형 혁신활동을 내향형 혁신활동과 외향형 혁신활동을 구분하고, 영향요인을 환경특성, 기업특성, 재도특성으로 분류하여 국내 149개 제조기업의 설문응답 내용을 토대로 실증분석을 실시하였다. 그 결과, 환경특성 요인의 경우 시장경쟁정도와 기술변화정도가 내향형 혁신활동에 영향을 미치는 것으로 나타났다. 이는 기업들이 시장경쟁정도가 심해지거나 기술변화정도가 높아질 경우, 자사의 기술 개발 촉진 및 시장에서의 우위를 유지하거나 선점하기 위하여 공동연구, 사용자 혁신 등 외부로부터의 기술도입 및 외부의 정보활용에 노력을 기울인다는 의미로 해석될 수 있다. 기업특성 요인의 경우, 내향형 혁신활동은 연구개발인력, 연구개발투자, 국제화사업건수, 해외수출, 조직문화 개방성에 의해 영향을 받는 것으로 나타났으며, 외향형 혁신활동은 국제화조직특성, 기업가정신(역량특성)에 영향을 받는 것으로 나타났다. 이는 기업들이 내향형 혁신활동을 강화하기 위해서는 우선적으로 연구인력, 연구비 등의 R&D 투입요소의 증대에 관심을 갖아야 됨을 의미하며, 반면 외향형 혁신활동을 높이기 위해서는 국제화 전담조직을 육성하며, CEO도 독자적인 내부 기술혁신활동에 기업가정신을 발휘하기 보다는 개방적이고 협력적인 기술혁신활동에 기업가정신을 집중해야 됨을 의미한다. 제도특성 요인의 경우 내향형 혁신활동에서는 기술네트워킹에 의해, 외향형 혁신활동의 경우 산업클러스터 입주여부 및 기술네트 워킹에 의해 영향을 받는 것으로 나타났다. 이는 정부에서 제도적으로 개방형 혁신활동을 촉진시키기 위해서는 산업클러스터 조성과 기업들의 기술네트워킹 확대에 노력을 기울여야 함을 의미한다.

• 한국지능시스템학회논문지
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• 제26권4호
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• pp.327-333
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• 2016

자율주행자동차는 자동차 스스로가 도로 위의 상황을 분석하고 판단하여 움직이는 인공지능과 자동차가 결합된 형태이다. 자율주행자동차에 대한 연구결과가 최근 언론을 통해 공개가 되고 있으며, 선두기업으로 구글이 평가받고 있다. 기술경영에서 기업의 연구개발방향 파악 및 개발전략수립을 위해 다양한 정보를 포함하고 있는 특허정보의 활용은 좋은 대안으로 평가받고 있다. 본 논문에서는 구글의 자율주행자동차에 대한 집중연구방향 파악 및 기술개발전략수립을 위해 구글의 자율주행자동차 관련 특허문서를 대상으로 문헌의 질적 측면을 평가할 수 있는 인용정보를 이용하여 사회네트워크분석 기반의 연구집중도 분석을 수행한다. 분석결과, 구글에서는 하드웨어 분야에 대한 기술이 미흡하여 최근까지 하드웨어 제어부분에 대한 기술개발에 집중한 것을 확인할 수 있으며, 현재 이 기술에 대하여 상당한 성과를 이룬 것으로 파악된다. 후발 기업에서는 향후 표준화를 대비하여 구글과의 공동연구를 진행하는 것이 필요할 것으로 예상된다.