오늘날 물류 서비스 산업에서는 수요예측을 통해 불확실성을 줄여나가는 것이 경영상 매우 중요한 이슈로 제기되고 있다. 비교적 시장 점유율이 견고하게 유지되는 제조산업과는 달리 물류 서비스 산업은 매우 빠른 속도로 시장이 성장하고 변화하기 때문에, 시장 환경의 변화를 반영하여 정확한 수요 예측에 기반한 적절한 물류 서비스 공급을 위한 운송 및 인력 공급 계획을 수립하여 운용하여야 한다. 본 연구는 물류 서비스 업계를 위하여 추세 요소, 계절 요소 등 수요에 영향을 미치는 요소를 분석하고, 영향 효과를 산출하여 물류 서비스 산업을 위한 수요예측 시스템에 반영하는 방안을 연구하였다. 특히 지역 특산물, 기상효과, 음력으로 발생하는 명절 효과 등 수요를 크게 변화시키는 중요 영향 요소에 의한 수요 변동을 수요 예측에 활용하는 방안을 도출함으로써, 물류 서비스 산업계의 수요 예측을 위하여 분해법(Decomposition Method)을 제시하였다.

Recently, Pharmaceutical Logistics Center in the introduction of automated equipment and systems for the efficiency of logistics is very important. However, the base of a distributed logistics, shipment data analysis and process improvement and automation, if not considered as an automated logistics center can not function well in many cases. To do this, we first classify the specific background factors in pharmaceutical environment factor and then develop the automation system model to analyze the factors that affect the pharmaceutical distribution center. We also develop a efficiency of Logistics Center thorough DPS(Digital Picking System), DPC(Digital Picking Cart System), Sorter such as factory automation equipment by improving the process and data analysis.

This paper considers an inbound ordering and outbound dispatching problem for multi-products and multi-vehicles in a third-party distribution center. The demands are dynamic over a discrete and finite time horizon, and replenishing orders are shipped in various transportation modes and the freight cost is proportional to the number of vehicles used. Any mixture of products is loaded onto any type of vehicles. The objective of the study is to simultaneously determine the inbound lot-sizes, the outbound dispatching sizes, and the types and numbers of vehicles used to minimize total costs, which consist of inventory holding cost and freight cost. Delivery time window is one of the general dispatching policies between a third-party distribution center and customers in practice. In the policy, each demand of product for a customer must be delivered within the time window without penalty cost. We derive mixed integer programming models for the dispatching policy with delivery time windows and on-time delivery dispatching policy, respectively and analyze the effect on a dispatching policy with delivery time windows by comparing with on-time delivery dispatching policy using various computational experiments.

In automobile company it is needed to establish the collaborative relationship between the assembly company and the part manufacturing company. In this paper we established the improvement for the procurement logistics and logistics in assembly company and thus we derived the near optimal procurement cycle through the simple EXCEL simulation and the improved inventory management method for H automobile company in CHINA. At this time we adopted the pull manufacturing process instead of push manufacturing process. We resulted that the manufacturing activity of both companies was stabilized and the usage of storage area in assembly company was reduced by 50%, especially it was reduced by 100% in the case of directly delivering the parts to assembly line through the third party logistics company.

As companies were concerned with developing green logistics and environment, most logistics concerned functions like packaging, loading, storage, transportation and IT studies are active in study. Even if active in research studies, companies still recognized that logistics cost increases as green concepts are applied. For the efficient execution of green logistics management, it is absolutely necessary but difficult to build an optimal logistics system where each function is smoothly interacted through the proper integration and the link of various logistics functions and partners. This study aims to development of green logistics through integration of supply chain functions and partners. With this aim of study, case studies with analysis of embodiment, planning and operations for supply chain of companies are carried out.

This paper to empirical examine the date from 2007 to 2010 China's ODI in 103 countries, found that a lot of overseas theory and experience hypotheses to explain China's ODI is not suitable for a large part. China's outward FDI to the investing countries are the main factors that affect the size and potential of the markets, the open level of market, such as the degree of technological development. But China's enterprises towards the presence of exchange and other financial risks that are not realize. The average wage level, the exchange rate of the traditional FDI determinants influenced the theory and existing research findings conflicting results were obtained. The strategic implications for Korean government and enterprises are as follow: First, China to take advantage of new investment source need to target strategies. Second, the extension of Korea's market should be expanded. Third, the investment environment should be open for the Chinese capital in Korea. Fourth, the response to M&A of China's enterprises should be prepared in advance. Fifth, we should be prepared that compete with foreign manufactured products by China's enterprises.

China's switched to a market economy system, the economy was growing rapidly. Recently, using the traditional export-oriented economic model to the global recession, economic growth in China reached a limit. Also the Development of Chinese economy has generated the local income gap especially between the coastal zones and the inland districts. China by taking advantage of the coastal zones and the inland districts, each with and tries to achieve balanced development and economic growth of the country. Therefore, this study focused on the trend of China's logistics policy analysis of the internal and external logistics integration strategy for the economic development of China.

The growing logistics strategy of a company is to optimize their vehicle route scheduling in their supply chain system. It is very important to analyze for continuous pickups and delivery vehicle scheduling. This paper is a computational study to investigate the effectiveness of continuous pickups and delivery vehicle routing problems. These scheduling problems have 3 subproblems; Inbound Vehicle Routing Problem with Makespan and Pickup, Line-haul Network Problem, and Outbound Vehicle Routing Problem with Delivery. In this paper, we propose 5 heuristic Algorithms; Selecting Routing Node, Routing Scheduling, Determining Vehicle Type with Number and Quantity, and Modification Selecting Routing Node. We apply these Algorithms to S vehicle company. The results of computational experiments demonstrate that proposed methods perform well and have better solutions than other methods considering the basic time and due-date.

As the competition is globalized, companies are building the Factory automation system for increment of management effectiveness and growth of productivity as one of strategies for sustainable growth. But most of companies undergoes various trials and errors due to carrying forward without elaborate preparation of factory automation. To reduce these trials and errors, there must be a project team consist of clears project basic and experts. otherwise to consult a expert is a way to reduce trials and errors. In this study, I tried to verify what factors affect to effective building distribution automation system which is a branch of factory automation system and studied consulting model for building Material Handling Automation System utilizing Stage Gate Process which is product development process. This paper summarizes master's thesis.

공급사슬관리(Supply Chain Management)의 목적은 공급사슬에서 발생하는 재고 및 운송에 관련한 비용을 최소화하는 것이다. 여기서 발생하는 비용은 여러 변수에 의해 결정되기 때문에 공급망 전체를 하나의 시스템으로 보고 모델링하여 분석할 필요성이 있다. 여러 구성요소들을 시간의 흐름에 따라 변화하는 모습을 분석하기 위해 수학적 접근방법을 사용하는 것 보다 시뮬레이션 방법을 사용해 모델링하는 것이 더 효과적이다. 따라서 본 연구에서는 중국의 H자동차의 조달물류의 문제점을 파악하고 이를 개선하기 위한 방안을 마련하기 위해 시뮬레이션 방법을 활용하여 조달물류의 최적 배송주기를 도출하고, 재고관리의 문제점을 개선 하고자 한다.

After the Uruguay Round, Korean agriculture industry has been protected and reared with government grants. However, until now there has been very minimal development to establish a solid export industry which can make the most of the trade agreements in place. There has been much research on ways to expand agricultural exports in order to respond properly to this ever changing environment and sustainable agricultural industry. As all other export industries, an efficient logistics network is paramount in order to allow the agricultural industry to respond to changes in demand and penetrate global markets. The lack of systematic logistics activities such as packaging, transportation, unloading, storage, and information transfer in farms has been a major factor in the inefficiency of the agricultural industry resulting in minimal development. From this perspective, 3PL was proposed and applied as a way to build on the streamlining of export of agricultural logistics system. The Agri 3PL is considered as an efficient agricultural exports method as a new concept connecting producers with exporters.