• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.477-480
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• 2000

오늘날 많은 제조업체 또는 물류업체는 물류의 효과적 수행을 위해 물류센터를 운영하고 있으며, 물류센터의 효과적 이용을 통한 물류문제 해결은 기업운영에 있어서 주요 해결과제 가운데 하나로 자리잡게 되었다. 이러한 물류센터를 운영하고 관리함에 있어서 물류센터의 전략적 의사결정과 투자계획의 수립을 위해 물류센터의 수행도 측정을 통한 정량적인 평가가 절대적으로 필요하게 되었다. 그러나 현재 기업물류활동을 평가하기 위한 여러가지 물류활동 측정지표들이 제시되고 있으나 물류센터들의 수행도 측정을 위해 체계적으로 정의화되고, 표준적으로 사용되는 유력한 정량적 평가방법이 아직 제시되어 있지 않다. 본 연구에서는 물류센터의 특성을 Cost(비용), Operation(설비운영). Quality(성과), Speed(속도), Flexibility(유연성), Safety(안전성)등 모두 여섯 가지로 구분하여 각각의 특성을 통해 물류센터를 정량적으로 평가한다. 이중 Safety(안전성)를 기본으로 삼고 나머지 주요인자들의 정량적 평가치 들을 통해 물류센터의 종합적인 수행도 평가 모델을 제시하였다. 물류센터의 운영평가는 궁극적인 공급체인관리망(SCM: Supply Chain Management)의 완성과 기업의 업무효율에 이바지하는 것이다.

• The monthly packaging world
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• s.240
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• pp.42-61
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• 2013

물류 표준화의 핵심은 수송, 보관, 포장, 상/하역, 정보/보안의 물류활동간의 호환성과 연계성의 확보이다. 국제표준 채택을 의무화하고 있는 WTO/TBT 협정을 차치하더라도 물류표준화의 정도는 국가의 물류경쟁력을 결정짓는 가장 중요한 척도라고 할 수 있다. 특히 한 중 일 3국의 경우 교역랑만 5조 3,236억불로 전 세계 교역량의 17.6%(2010년 기준), GDP 합계 12조3443억 달러로(2010년 기준) 세계전체 GDP 62조 9093억 달러 중 19.6%, 해운물동량은 전 세계 물동량의 60% 이상을 차지하고 있는 상황에서 물류경쟁력은 곧 국가경쟁력으로 보아도 무방하다. 아직도 국내에서는 물류분야 간 연계와 첨단정보기술이 결합된 현장중심의 융 복합 표준이 미비하고 대부분의 경우 해외국가들이 자신들의 입장대로 추진하거나 선점한 표준을 따라가기 바쁜 실정이었다. 스마트물류표준화는 이러한 현실에서 탈피하여 글로벌 물류표준을 선도하고 국내 현실에 적합한 현장물류표준을 반영하자는 취지에서 출발한다. 스마트물류는 i-ULS(Intelligent-Unified Logistics System) 체계, 즉 IT와 각 물류기술을 융합하여 표준화시키는 것은 물론 기존 표준을 산업현실에 맞게 반영해 나가는 것이 국가표준코디네이터로서의 주요한 목표가 되고 있다. 본 고는 전년도 스마트물류 표준화로드업에 작성된 표준화기술 중 산업체 설문을 통하여 10대 주요 표준화 트렌드를 선정하여 정리한 것이다. 10대 표준화 기술로는 순환물류포장시스템, 실시간 위치추적기술, 스마트컨테이너(Smart Freight Containers), 해상용 컨테이너 모니터링 시스템(CTMS), 글로벌 포장 표준모듈, 친환경물류 표준지표, 스마트물류 포장용기, 스마트그린물류센터(Passive Warehouse), 모바일 RFID 물류 적용 기술, Modal Shift(전환교통) 등이 선정되었다. 이번 4월호 특집에서는 10대 표준화 전략트렌드 가운데, 스마트물류에 대해 알아보도록 한다.

• Digital Contents
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• no.4 s.107
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• pp.28-43
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• 2002

본고는 정부의 제7차 정보화 전략회의에 제출된 안건과 결론이다. 7차 정보화전략회의 안건은 정보통신부 [ 국민의 정부 4년」 정보화 추진성과 및 향후과제], 농림부의 [농촌 정보화를 통한 농업의 경쟁력 제고], 산업자원부의 '전통산업의 IT화를 통한 산업 경쟁력 강화], 건설교통부의 [육상,항공 등 종합적인 물류정보화 구현], 해양수산부의 [항만물류정보화 및 디지털 어촌 실현], 관세청의 [수출입 통관절차 정보화를 통한 기업 경쟁력 강화]등으로 각 부처마다 시행한 사업의 성과 및 진척도 관련 산업과의 연계성을 중심으로 회의결과를 도출했다. 이에 7차 정보화 전략회의에서 다뤄진 정부 각부처의 정보화 사업을 살펴보고자 한다. 이 자료를 보면 국민의 정부 들어서 추진한 정보화에 대한 총괄적인 지표들을 한눈에 볼 수 있다. 이들 자료는 지난 수년간 정부의 정보화와 관련해 언론에서 한번쯤 다루었던 정책들로서 이번 정보화 7차정보화전략회의에서 총괄적으로 다루고 있다. 회의 자료는 2회에 걸쳐 소개할 것이다. 이번 호에서는 정보통신부와 농림부, 산자부 회의자료를 먼저 다루기로 한다.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.193-202
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• 2005

Due to the importance of SCM(Supply Chain management) in business logistics. many studies related to the SCM performance measurement have been conducted. However, previous SCM performance measurement models have not reflected both ways, operational efficiency and response for market shift. The aim of this research is to suggest a dynamic model to measure SCM performance both with operational efficiency and response for market shift, based on previous SCOR model. To achieve this aim, we developed a cognitive map-based model described eleven KPIs (Key Performance Indicators) with different weight values. And, to measure response level for market shift, we used the concept of entropy-elasticities. Finally, through some actual cases, merits that have no previous models were shown.

• Korea Trade Review
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• v.47 no.4
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• pp.197-213
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• 2022

This study aims to investigate the relationship between cargo volume and logistics performance index published by World Bank which indicate countries' logistics performance. In this study, the results were derived through panel regression analysis consisting of variables such as gross domestic product, geographical distance, population, and LPI using container export/import volume and bulk export/import volume as dependent variables. As a result of the empirical analysis, it was found that Korea's container volume was affected by the overall level of logistics, in particular, was deeply related to the logistics infrastructure, while bulk volume was not related to the logistics level or was less influential.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.18 no.1
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• pp.35-42
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• 2006

Recently, the harbor function is being reconsidered with the viewpoint of logistics, and various efforts are given to enhance the harbor performance agglomerating all procedures of stevedoring, treatment and background transportation of freight. The harbor performance largely depends on the efficient combination of the engineering part of harbor construction and the forthcoming logistics part. It may thus be anticipated in the future that the design concept of harbor construction will be transferred to a comprehensive consideration integrating both engineering and logistics parts to maximize the ultimate harbor operational performance. In the present study, various indicators for assessing a modem container terminal performance are presented far the purpose of helping harbor engineers understand the fundamental logistics through container handling operations. The indicators are compared, analyzed and compiled, by referring to the practical cases of Busan and Gwangyang ports as an illustration.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.195-196
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• 2019

It It is not easy to reduce the operation costs at a time when it is hard to expect increase sales due to growing economic uncertainties. For logistics centers, which need to keeps their competitive advantage in the market by raising service levels at low cost, it is essential to drastically improve service levels at low cost. This study suggests that KPI (Key Performance Indicator) analysis should determine whether efficient logistics operation is being performed for the entire process of the logistics operation system. And also we suggests that each item should be set up, measured, and improved so that customer satisfaction can be increased based on performance indicators.

• Journal of Korea Port Economic Association
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• v.35 no.1
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• pp.39-56
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• 2019

This study addresses the management performance of the retail industry in Korea. The Non-store e-commerce business, consisting of TV home shopping and online shopping, grew very fast during the 2000s. For roughly six years in the 2010s, the diversification of online shopping business models, intensifying competition, and the proliferation of competition accelerated the entry of offline shopping retailers. During the analysis period from 2001 to 2016, the performance of the Non-­store e-commerce business was statistically better than that of the offline shopping retail business, department stores, general retailers, and small­-sized retailers. As expected, a significant difference between performance and some of the indicators of growth and activity could be seen because of the capital and operating structure of the retail industry. In particular, the Non-store e-commerce businesses have diverse sales media and heterogeneous business models. In this study, we have presented the significance of the differences in the indicators of operating profit and inventory turnover, as well as the discussion required for managing in the future.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.81-91
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• 2020

The logistics industry is a basic and strategic industry that supports the development of national economy and society. The purpose of this paper is to evaluate the logistics efficiency of 22 cities in Guangxi and Yunnan provinces in China, and to grasp the problems and constraints and present policy proposals to promote the transformation and upgrading of the industrial structure in Guangxi and Yunnan provinces. In this paper, five input indexes and four output indexes were selected and the data from 2016 to 2018 were analyzed through DEA method. According to the analysis, the logistics efficiency of Guangxi and Yunnan provinces is not bad overall, but the development of each region is not balanced and the level of logistics efficiency is quite different. And it is found that each city needs to further improve the level of scale because the input and production structure of logistics resources is unreasonable. The limitation of this study is that it is difficult to generalize the analysis results because only the data over the past three years have been analyzed. It is necessary to comprehensively implement longitudinal and transverse analyses by extending the future analysis period over a long period of time.

• Information Systems Review
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• v.20 no.4
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• pp.25-41
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• 2018

Applying predictive analytics to enterprise processes is an effective way to reduce operation costs and enhance productivity. Accordingly, the ability to predict business processes and performance indicators are regarded as a core capability. Recently, several works have predicted processes using deep learning in the form of recurrent neural networks (RNN). In particular, the approach of predicting the next step of activity using static or dynamic RNN has excellent results. However, few studies have given attention to applying deep learning in the form of dynamic RNN to predictions of process performance indicators. To fill this knowledge gap, the study developed an approach to using process mining and dynamic RNN. By utilizing actual data from a large domestic company, it has applied the suggested approach in estimating timely stocking in purchasing process, which is an important indicator of the process. The analytic methods and results of this study were presented and some implications and limitations are also discussed.