CIS nations are recognized as a emerging market recently because there are abundant natural resources and a lots of investment demand. Furthermore, they are located in the middle of Europe and Asia and that make them have more strategic importance as a logistics hub. So many global companies including domestic ones began to advance into the on-site. and henceforth this tendency will be strong. On the contrary, a research in logistics environment of CIS has rarely been done. This paper provides a way of systematic approach to design logistics network in CIS with real business case and shows the analyzed result of optimization simulation that includes factors have a huge influence on the overall logistics cost.

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.

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.

Logistics cost of domestic company has been improved continuously and annually, it is still higher than other main comparative countries. So, in this study, as optimizing the logistic network of distribution, it was trying to find methods decreasing logistics cost and storage cost, which occupies 86% of logistics cost of companies. through the efficiency of transportation and delivery routing, it could be also possible to decrease the logistics cost. And, it is also checked to find the logistics cost could be decreased by 10% by optimizing the routes of transportation and delivery, improving the transportation mode, etc.

Expanded muti-source Weber problem (EWP), which introduced in this paper, is a reverse logistics network design problem to minimize the total transportation cost from customers thorough regional center to central center. Decision factor of EWP are the locations of regional centers and a central center. We introduce a GRASP heuristics for the EWP. In the suggested GRASP, an expanded iterative location allocation method (EILA) is introduced based on the Cooper's iterative location allocation method[3]. For the initial solution of GRASP, allocation first seed (AFSeed) and location first seed (LFSeed) are developed. The computational experiment for the objective value shows that the LFSeed is better than the AFSeed. Also the calculating time of the LFSeed is better than that of the AFSeed.

본 논문에서는 수명이 다한 제품이나 소비지-가 더 이상 사용하지 않는 폐기품을 다시 재사용하거나 폐기하는데 필요한 일련의 활동을 위한 역방향 로지스틱스에서의 수거망 설계 문제를 다루고 있다 수거망 설계 문제는 수거지점의 위치와 수요지의 폐기품을 수거 지점에 할당하는 것을 결정하는 문제로 정의할 수 있으며 수거지점은 재활용품이나 폐기품이 위치한 지접 근처에 위치하고 주어진 잠재적인 위치들 중에서 결정하게 된다. 여기서，각 수거지점은 용량제약이 있어 수거

본 연구의 목적은 동아시아 지역을 중심으로 글로벌 항만 물류네트워크를 구축하여 우리나라의 새로운 항만정책을 제안하는 것에 있다. 이러한 항만 물류네트워크의 구축을 위해 세계 50위 항만 중 21개의 항만을 중심으로, 컨테이너 화물량과 기항지를 분석하여 EU, 북미를 연결시 최소 물류비용인 동아시아 지역의 4개의 대표항만을 추출하였다. 그 결과 동아시아에서는 싱가포르, 홍콩, 상하이, 부산항이 추출되었다. 따라서, 우리나라는 싱가포르, 홍콩, 상하이항에 해외 터미널을 운영하고 부산항과 연계하는 글로벌 항만 물류네트워크를 구축하여 안정적인 화물을 확보해야 한다.