• 제목/요약/키워드: supply point decision making

검색결과 19건 처리시간 0.02초

개발도상국에 적용 가능한 물수요 예측 방법 연구 (A Study on Water Demand Forecasting Methods Applicable to Developing Country)

  • 김성욱;전계원;피완섭;최종호
    • 한국방재안전학회논문집
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    • 제16권4호
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    • pp.75-84
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    • 2023
  • 대다수의 개발도상국은 물수급 계획을 위한 수문 자료 부재로 장기유출량 산정이 불가능하며, 물 분배 의사결정을 진행하는데 합리적인 물수급 계획을 수립하기가 어려운 상황이다. 연구대상지역인 인도네시아 반둥지역은 급격한 도시화 및 인구집중으로 심각한 상수부족 상황이며 물수지 예측 방안이 구축되어 있지 않아 상수도 보급률이 약 20% 정도 수준이다. 이에 본 연구에서는 개발도상국에서의 물수지 예측접근방안을 제시하기 위해 MODSIM(Modified SIMYLD) 네트워크 모형 활용한 이수안전도 및 용수공급 가능량을 분석하였다. MODSIM 모형의 적정성을 검토하기 위해 비유량법을 적용하여 Pataruman 관측소의 19개년(2002~2020년) 유출량 자료를 기준으로 장기유출량을 산정하고 물수지 분석을 수행하였다. 분석결과 기존 월별 최적운영곡선과 일치하는 것을 확인할 수 있었다. 발전소의 발전용량을 분석한 결과 0.30~0.50% 정도 차이가 났으며, Pataruman 지점 이수안전도는 Q95% 유량 기준 1.64%, Q355 유량 기준 0.47% 높게 나타났다. 기존 저수지 최적운영곡선과 비교한 운영효율이 1% 내외로 유사하게 계측되어, 이를 통해 MODSIM 네트워크 모형을 이용한 용수공급 평가 가능성과 용수공급시설의 필요성을 확인할 수 있었다.

A Study on Information System Improvement for Air Logistics SCM

  • Choi, Hyung-Rim;Park, Nam-Kyu;Lee, Hyun-Chul;Seo, Young-Joon;Shin, Joong-Jo
    • 한국정보시스템학회지:정보시스템연구
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    • 제14권3호
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    • pp.63-70
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    • 2005
  • Compared with land logistics and sea logistics, air logistics takes not only less transportation time, but also makes just-in-time delivery possible. Because of this, in spite of high freight rates, many shippers make good use of airlines. To cope with borderless competition in this global age, most shippers using air logistics want to receive diverse information including just-in-time cargo delivery and dangerous situation as well as convenience and speed in job handling. Nevertheless, most domestic forwarders, who perform many kinds of important businesses for air logistics, mainly put emphasis on demanding information from overseas partners through their business agreements, that is, focusing on horizontal integration, instead of sharing information or improving job performance among air logistics participants. As a result, it is almost impossible to satisfy the needs of shippers. Airline users want to remove the uncertainties over their cargo movement. And in time of emergency, they want to take immediate measures through speedy information sharing and decision-making. In order to satisfy shipper's needs, all the organizations participating in the air logistics supply chain-cargo senders, cargo receivers, forwarders, transporters, licensed customs brokers, airlines as well as foreign partners-have to set up a vertical cooperation system. For effective air logistics SCM, it is very important to remove overlapping jobs, strengthen the efficiency of job handling, and provide online monitoring on cargo information in order to support decision-making. To this end, this paper has applied the concept of RTE (Real Time Enterprise), a new business management system, which tries to maximize competitiveness by removing many hindrance factors on an ongoing basis in managing and fulfilling core business processes based on up-to-the-minute information. In order to realize RTE-based information system for air logistics SCM, this paper has analyzed the information required by business process and by air logistics participant, and suggested the method for information sharing, point of time for information input and output, and its means.

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효율적(效率的)인 마아케팅 정보(情報) 시스템 구축(構築) 방안(方案)에 관한 연구(硏究) (A Study of Information Systems Development for Marketing Strategy)

  • 원두희
    • 산학경영연구
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    • 제4권
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    • pp.355-383
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    • 1991
  • 1. The Purpose of This study research: The focus of marketing until recently has simply been on sales which means the transfer of goods from the producer to the consumer and on profits therefrom. However, the excess supply of goods due to the expansion of the economy and the resulting fierce competition between companies have changed the nature of marketing. Maximizing consumers' satisfaction and establishing marketing mix strategies for market subdivision and penetration into the target market are now significant roles of the marketing manager. In addition, with regard to company management, information within the company which had been collected, managed and processed sporadically indegrated manner. The purpose of this research on marketing information systems in connection with the above will be to seek ways enabling us to create an efficient and integrated information system for an entire company. 2. The Method and Scop of This Stdudy: Marketing information systems, as a part of management information systems, shall be examined based on relevant theoretical literature. The research process shall be generally developed as follows: 1) The basic structure of the marketing information systems, including its fundamental purpose and necessity, shall be examined. 2) The method for a specific plan shall be presented through fundamental marketing strategy concepts and marketing decision-making. 3) A general model shall be presented based on examinations of various mod els used for marketing information systems and on research of the models' relationship with management information systems. 4) The direction of development shall be presented as the basis for gradual development following examination of the scope, pertinent issues, and means of improvement of the marketing information systems. 3. Summary and Conclusion: As the competition among the enterprises has become keen and thus the management of the contemporary enterprises shows the tendencies of uncertainty as well as complexity, all the managers must make the correct and prompt decision of their mind. Otherwise, the danger which will lead to and failure in the failure in the business may befall to the enterprise. Though computer system and information related techniques have the endless potentiality for the improvement of the enterprise, those are granted only to the enterprise which will be able to manage the computer system and information related techniques. In the contemporary industrial society, the need to a managerial information system has been increasing because all the complicated information can be stored, disposed and managed by the efficient method. And the marketing information system is also the integrated system which has been formed and developed through the efficient mixture of all the constituent elements including the definition of marketing research as the definition of the information system has been enlarged due to the reason shown above. The common point of the two systems is the man machine system functioning to help the efficient decision of the mind by introducing the computer system on the basis of user manager centered thought in order to provide informations to be useful in operation and management of the organization and the function of the mind decision. The purpose for the marketing information system lies in making the utmost use of marketing information available in the course of the mind decision. The reason why the contemporary enterprises necessitate the marketing information system are as follows: 1) The stages of the business operation are expanded wide to the world. 2) As the living standards of the consumers have been on the rise, the enter prise has to satisfy the consumer's "wants" than simple "needs".

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Gap: A Study on the Influence of New Measurement Method on Consumers' Decision Making

  • Yang, Hoe-Chang;Cho, Hee-Young;Kim, Young-Ei
    • 유통과학연구
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    • 제15권1호
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    • pp.51-56
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    • 2017
  • Purpose - The study verified the effects of consumers' knowledge perception upon word-of-mouth intention and purchase intention of consumers who were exposed to a lot of information, and examined consumer's behavior from multi-dimensional points of view. Research design, data, and methodology - The study conducted the test of difference between consumer's cognition on importance and satisfaction of HMR product by gap of HMR (Home Meal Replacement) product for IPA analysis. The consumer's reliability and words-of-mouth were measured by the questionnaire method with 4 questions according to Likert 7-point scale. Conversion into z-score removed the difference of variables. Results - The causal relation model for importance, satisfaction and gap, not relying upon multi-dimensional scaling and others, could construct causal relation model to give implications. Difference (d) of the products could lessen consumer's reliability to increase consumer's knowledge perception, word-of-mouth intention, knowledge perception, and purchase intention. Therefore, enterprises should make an effort to lessen consumers' complaint for the products and to elevate consumers' reliability. Enterprises also try to give consumers exact information and to promote purchase intention. Conclusions - Difference (d) of consumers' complaint and/or disappointment decreased consumers' reliability to increase knowledge perception. Enterprises should supply consumers with products according to their requirements to minimize the gap and to give them proper information.

3차원 Web GIS 기반 풍력에너지 시설물 적지분석 시스템 개발 (Development of a Suitability Analysis System for Wind Energy Facilities Using 3D Web GIS)

  • 김광득;윤창열;조명희;김성재
    • 한국지리정보학회지
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    • 제15권3호
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    • pp.81-90
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    • 2012
  • 최근 신재생에너지 자원에 대한 사회적인 관심 증대와 맞물려 IT(Information Technology) 기술과 공간정보기술의 급속한 발전에 따라 신재생에너지 분야에서도 GIS(Geographic Information System) 공간정보 분석 기술과의 융합을 통하여 체계적이고 과학적인 활용 방법들이 많이 연구되고 있다. 본 연구에서는 정확한 지형, 경제, 문화적 환경 요소들을 종합적으로 고려한 정확하고 정밀한 풍력에너지 시설물 적지분석 시스템 모듈 개발과 동시에 3차원 GIS 등과 같은 최신 공간 정보기술을 활용하여 정밀한 현장정보 구현과 3차원 결과물 표출, 3차원 객체 구현, 모의 등 풍력 신재생에너지 관련 종합정보를 관리할 수 있는 3차원 Web GIS 기반 풍력에너지 시설물 적지분석 시스템을 개발하였다. 이를 통하여 과학적인 신재생에너지 시설물 단지 조성과 함께 정확하고 정량적인 정보 수집, 관리, 분석이 가능할 뿐만 아니라 실시간 정보제공체계 구축의 전환점을 마련할 수 있었으며 3차원 영상기반 신재생에너지 자원정보 관리시스템 구축을 통한 다양한 현장정보 분석이 가능함으로써 합리적 의사결정 지원을 할 수 있게 되었다.

정보 가치 관점에서 바라본 모바일 광고 가치의 설명 요인에 관한 실증적 연구 (Empirical Study on Factors Influencing the Value of Mobile Advertising: From the Perspective of Information Value)

  • 박철우;안중호;장정주;김은진
    • 경영정보학연구
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    • 제8권2호
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    • pp.29-49
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    • 2006
  • 디지털 경제가 도래하면서 정보를 생성 거래하는 새로운 시장이 형성되고 많은 기업들은 고객에게 차별화된 정보를 제공하는 정보 비즈니스를 수행하고 있다. 정보 사용자는 자신이 직면한 정황과 일치하는 정보를 유용하게 인식하지만, 정황은 개인의 역할, 시간, 장소 등에 따라 끊임없이 변하기 때문에 이러한 동적 정보를 생성하고 실시간으로 전달한다는 것은 매우 어려운 일이다. 본 연구는 모바일 시스템이 동적 정황을 인지하여 사용자 요구와 일치하는 정황 정보를 실시간으로 생성 및 전달함으로써 정보 가치의 제고에 기여할 수 있을 것이라 판단하고, 정보 비즈니스 중 그 중요성이 점차 부각되고 있는 모바일 광고를 대상으로 실증 분석을 실시하였다. 분석 결과를 통해 정황 관련성이 모바일 정보 가치에 직접적인 영향을 미치지는 않지만 정보 가치를 결정하는 주요 변수인 정보 유용성을 높여줌으로써 사용자의 지각된 모바일 정보 가치를 향상시키는 결정적 역할을 담당한다는 것을 확인할 수 있었다. 또한, 정황 관련성은 부정적 자극의 영향을 극복할 수 있는 기회를 제공하고 있다. 마지막으로 의사 결정을 지원할 수 있는 정보의 제공뿐만 아니라 사용자의 오락적 욕구를 충족시킴으로써 모바일 광고 가치를 향상시킬 수 있다.

지속가능한 자원관리를 위한 섬 지역 관광자원의 공간정보와 소셜미디어 빅데이터 분석 결과를 활용한 격차분석 (A Gap Analysis Using Spatial Data and Social Media Big Data Analysis Results of Island Tourism Resources for Sustainable Resource Management)

  • 이성희;이주경;손용훈;김용진
    • 농촌계획
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    • 제30권2호
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    • pp.13-24
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    • 2024
  • This study conducts an analysis of social media big data pertaining to island tourism resources, aiming to discern the diverse forms and categories of island tourism favored by consumers, ascertain predominant resources, and facilitate objective decision-making grounded in scientific methodologies. To achieve this objective, an examination of blog posts published on Naver from 2022 to 2023 was undertaken, utilizing keywords such as 'Island tourism', 'Island travel', and 'Island backpacking' as focal points for analysis. Text mining techniques were applied to sift through the data. Among the resources identified, the port emerged as a significant asset, serving as a pivotal conduit linking the island and mainland and holding substantial importance as a focal point and resource for tourist access to the island. Furthermore, an analysis of the disparity between existing island tourism resources and those acknowledged by tourists who actively engage with and appreciate island destinations led to the identification of 186 newly emerging resources. These nascent resources predominantly clustered within five regions: Incheon Metropolitan City, Tongyeong/Geoje City, Jeju Island, Ulleung-gun, and Shinan-gun. A scrutiny of these resources, categorized according to the tourism resource classification system, revealed a notable presence of new resources, chiefly in the domains of 'rural landscape', 'tourist resort/training facility', 'transportation facility', and 'natural resource'. Notably, many of these emerging resources were previously overlooked in official management targets or resource inventories pertaining to existing island tourism resources. Noteworthy examples include ports, beaches, and mountains, which, despite constituting a substantial proportion of the newly identified tourist resources, were not accorded prominence in spatial information datasets. This study holds significance in its ability to unearth novel tourism resources recognized by island tourism consumers through a gap analysis approach that juxtaposes the existing status of island tourism resource data with techniques utilizing social media big data. Furthermore, the methodology delineated in this research offers a valuable framework for domestic local governments to gauge local tourism demand and embark on initiatives for tourism development or regional revitalization.

비도시지역 배후마을 서비스전달체계 활성화방안 연구 (A Study on Way to Revitalize the Service Delivery System in the Hinterland Villages in Non-Urbanized Area)

  • 정해천;양희승
    • 환경영향평가
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    • 제32권6호
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    • pp.533-544
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    • 2023
  • 농림축산식품부는 농촌 중심지의 기능(문화·복지·경제·교육 등)을 강화하고, 중심지의 서비스가 배후마을로 전달되어 연계시키는 정책을 추진해왔다. 이러한 정책목적을 위해 일반농산어촌개발사업 내 농촌중심지활성화사업, 기초생활거점조성사업을 추진중에 있지만 실제 사업을 추진하는 과정에서 농촌 중심지의 기능 강화에 초점이 맞춰져 배후마을과의 서비스 전달 및 연계 등은 활성화되고 있지 않은 실정이다. 따라서 본 연구에서는 무주군 적상면에서 기 수행했던 사업과 지역현황을 분석하여 배후마을 서비스가 연계 및 활성화되지 못한 이유를 분석하여 앞으로 수행하게될 기초생활거점조성 2단계사업의 추진방향을 제시하고자 하였다. 배후마을 서비스가 활성화되지 못한 원인을 분석한 결과, 농촌의 분산거주 및 지형구조의 한계성으로 나타나는 서비스 접근의 불리함과 배후지역의 수요 발굴을 위한 서비스 전달 체계의 미확보 등이 문제점으로 나타났으며 그에 따른 개선방안을 다음과 같이 도출하였다. 첫 번째로, 지형적 한계를 극복하고자 제안한 디딤거점 조성계획이다. 서비스 중간 터미널 기능을 담당할 디딤거점을 설정하여 효율적인 서비스전달이 이루어지도록 한다. 두 번째로, 합리적 의사결정구조를 위해 중심지 및 배후마을 주민 그리고 다양한 계층이 포함된 주민위원회의 효율적 구성과 함께 다양한 소규모 커뮤니티를 운영하여 지역의 견을 촘촘하게 수렴할 수 있는 소통창구 배치계획을 제안하였다. 세 번째로, 지역주민을 전문강사로 양성하는 선순환 지역인력 양성계획이다. 서비스 전달에서 가장 중요한 서비스 전달자, 즉 활동가를 양성하여 지속 가능한 주민 주도 서비스 공급체계를 완성하고자 한다.

빅데이터 도입의도에 미치는 영향요인에 관한 연구: 전략적 가치인식과 TOE(Technology Organizational Environment) Framework을 중심으로 (An Empirical Study on the Influencing Factors for Big Data Intented Adoption: Focusing on the Strategic Value Recognition and TOE Framework)

  • 가회광;김진수
    • Asia pacific journal of information systems
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    • 제24권4호
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    • pp.443-472
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    • 2014
  • To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.