The era of logistics 4.0 in which new technologies are applied to existing traditional logistics management has approached. It is developing based on the convergence between various technologies, and R&D are being conducted worldwide to build smart logistics by synchronizing various services with the logistics industry. Therefore, this study proposes a methodology and technology strategy that can achieve trend analysis using patent analysis and promote the development of the domestic smart logistics industry based on this. Based on the preceding research, eight key technology fields related to smart logistics were selected, and technology trends were derived through LDA techniques. After that, for the development of the domestic logistics industry, the strategy of the domestic smart logistics industry was derived based on analysis including technology capabilities. It proposed a growth plan in the field of big data and IoT in terms of artificial intelligence, autonomous vehicles, and marketability. This study confirmed smart logistics technologies by using LDA and quantitative indicators expressing the market and technology of patents in literature analysis-oriented research that mainly focused on trend analysis. It is expected that this method can also be applied to emerging logistics technologies in the future.

In order to solve the rapidly increasing domestic delivery volume and various problems in the recent metropolitan area, domestic researchers are conducting research on the development of “Urban Logistics System Using Underground Space” using existing urban railway facilities in the city. Safety analysis and scenario analysis should be performed for the safe system design of the new concept logistics system, but the scenario analysis techniques performed in previous studies so far do not have standards and are defined differently depending on the domain, subject, or purpose. In addition, it is necessary to improve the difficulty of clearly defining the control structure and the omission of UCA in the existing STPA safety analysis. In this study, an improved scenario table is proposed for the AGV horizontal transport device, which is a key equipment of an urban logistics system using underground space, and a process model is proposed by linking systematic STPA safety analysis and scenario analysis, and UCA and Control Structure Guidelines are provided to create a safety analysis.

The growth of the online market is accelerating due to the development of technology and the pandemic era. The delivery service through the courier must be used to deliver the ordered goods to the customer through the online market. With the growth of the online market, the logistics market for delivery is also growing. The traffic and environmental problems are emerging as social issues. Urban logistics technology using underground space based on the urban railway developed to improve logistics efficiency in a metropolitan area and a new alternative to environmental problems. This study proposed a plan to secure system safety through safety analysis based on operational concept definition and scenario analysis by applying model-based perspective analysis to the system under development.

경제성장이 고도화되면 일반적으로 산업구조는 제조업에서 서비스산업으로 변화한다. 한국의 각 산업별 노동시장을 살펴보면 이런 현상이 명확히 나타나고 있다. 특히 무역의존도가 높은 한국산업에서 물류산업의 중요성이 부각되고 있다. 물류산업의 노동시장에서 대졸여부에 따른 임금격차가 존재하고 심화되고 있다는 것이 통계자료로 확인되었다. 이것은 동산업의 노동시장이 학력에 따라 분절되었다는 것을 의미한다. 인적자본론을 적용하여 고졸이하를 인적자본이 없는 저학력 노동으로, 대졸이상을 인적자본이 체화된 고학력노동으로 구분하여 독립 생산요소로 설정하였다. 이런 전제하에 3요소(자본, 저학력 노동자, 고학력 노동자) 콥-다글라스 생산함수를 상정하고, 외생변수로 산출량, 세계화와 중립적 기술진보를 포함한 학력별 노동수요 추정식을 유도하여 결정요인분석을 시행하였다. 추정결과 물류산업에서는 생산요소의 상대가격(, , )과 같은 노동시장의 내적요인이 저학력노동수요와 고학력노동수요에 영향을 미치지 못하였다. 반면 산출량, 세계화와 기술진보와 같은 물류산업의 외생적 변화가 물류산업의 학력별 노동시장에 유의미하게 영향을 미치는 것으로 나타났다. 즉 산출량변화에 대해 저학력노동수요가 고학력노동수요보다 더 탄력적으로 영향을 미친다. 세계화 진전은 고학력노동수요의 증가로 나타났고 기술진보는 저학력노동수요의 감소와 고학력노동수요의 증가에 영향을 친 것으로 나타났다. 이와 같은 추정결과를 바탕으로 다음과 같은 정책적 대안을 마련할 수 있다. 첫째 경기변동에 따라 저학력노동수요 변화가 더 심하기 때문에 저학력 노동의 고용안정 정책이 필요하다. 둘째, 기술진보는 생산성을 향상시켜 총생산량을 높이지만 물류산업 노동시장에서는 저학력 노동수요의 감소로 실업이 발생할 수 있기 때문에 이것에 대비한 노동정책이 필요하다. 셋째, 세계화의 진전은 고학력노동수요의 증가를 유발하므로 물류산업에 필요한 인재양성정책이 필요하다.

With the advent of the 4.0 era of logistics due to the Fourth Industrial Revolution, infrastructures have been built to receive the same services online and offline. Logistics services affected by logistics 4.0 and IT technology are rapidly changing. Logistics services are developing using technologies such as big data, artificial intelligence, blockchain, Internet of things, and augmented reality. The convergence of logistics services and various IT new technologies is accelerating, and the development of data management solution technology has led to the emergence of electronic cargo waybill to replace paper cargo waybill. The electronic waybill was developed to supplement paper waybill that lack economical and safety. However, the electronic waybill that appeared to complement the paper waybill are also in need of complementation in terms of efficiency and reliability. New research is needed to ensure that electronic cargo waybill gain the trust of users and are actively utilized. To solve this problem, electronic cargo waybill that combine blockchain technology are being developed. This study aims to improve the reliability, operational efficiency and safety of blockchain electronic cargo waybill. The purpose of this study is to analyze the blockchain-based electronic cargo waybill system and to derive evaluation indicators for system supplementation.

In this study, to improve the logistics flow of existing given chemical logistics warehouse, four logistics flow alternatives were proposed to minimize truck interference by building simulation model. The simulation model for chemical storage warehouse was built to evaluate system performance. Among the four new improved alternatives based on the basic model, the model with the same truck’s pathways and locations of facilities identified an increase in the number of interferences but a decrease in daily working hours as the number of resources in a particular facility increases. Therefore, the three groups were classified as ‘efficiency’, ‘complementary’, and ‘safety’ based on the daily working hours, and the ratio of trucks entering two types of logistics warehouse was set in consideration of future market fluctuations. For each of the six types, the optimal number of resources was selected as the number of resources in the facilities with the least number of interferences in the basic model and the evaluation measures and characteristics set in this study were compared and analyzed. As a result, the Alternative 4 model operating the underground roadway produced interference between 17.0% and 36.4% of the basic model, with 113.3% of the interior loadspace.

In this paper, the relationship between energy consumption in the logistics industry and economic growth of Tumen River region from 1995 to 2014 is empirically analyzed by using the EKC model theory. The results show that there is a turning point in the Kuznets curve of carbon emission in TumenRiverregion. And it has the characteristic sof "invertedU" curve, which conforms to the environmental Kuznets curve hypothesis. Meanwhile it is stil lintherisingstage. According to the analysis results, it is proposed to set up the concept of low carbon logistics, optimize the energy structure, strengthen the information construction, and establish low-carbon development mechanism and so on.

Enforced environmental regulations call for extending the domain of manufacturers’ responsibility to the entire product life cycle. To comply with the environmental regulations, manufacturers have constructed reverse logistics networks to re-collect their leftover waste for recycling consumed resources. However, the operational activities associated with storage, loading and transportation processes within the networks inevitably impose environmental burdens. Particularly, the transportation process largely influences environmental performance due to perpetual uses of transportation vehicles. Therefore, there is a need to develop an environmentally- conscious transportation model that can efficiently manage the uses of transportation vehicles. Additionally, it is vital to analyze its significances of environmental performance to compare quantitatively it with existing models. This paper proposes a transportation model for improving environmental performance in a reverse logistics network. This paper also presents a case study to perform its comparative analysis using Life Cycle Assessment that evaluates potential environmental impacts of a product system.

Response surface methodology (RSM) based on a Box-Behnken Design (BBD) was applied to optimize the thermal-alkaline pre-treatment operating conditions for anaerobic digestion of flotation scum in food waste leachate. Three independent variables such as thermal temperature, NaOH concentration and reaction time were evaluated. The maximum methane production of 369.2 mL CH4/g VS was estimated under the optimum conditions at 62.0°C, 10.1% NaOH and 35.4 min reaction time. A confirmation test of the predicted optimum conditions verified the validity of the BBD with RSM. The analysis of variance indicated that methane production was more sensitive to both NaOH concentration and thermal temperature than reaction time. Thermal-alkaline pretreatment enhanced the improvement of 40% in methane production compared to the control experiment due to the effective hydrolysis and/or solubilization of organic matters. The fractions with molecular weight cut-off of scum in food waste leachate were conducted before and after pre-treatment to estimate the behaviors of organic matters. The experiment results found that thermal-alkaline pre-treatment could reduce the organic matters more than 10kD with increase the organic matters less than 1kD.