본 연구는 다국적 기업의 해외 입지 선정과 관련된 연구를 종합적으로 검토하여, 과거와 현재의 연구 결과를 분석하고, 미래 연구 방향을 제시하는 것이 목적이다. 구체적으로 2000년부터 2023년까지 총 173편의 해외 입 지 선정 연구를 분석한 결과, 비시장 전략, 네트워크, 실물옵션, 방법론과 관련한 주제와 이슈에 관해 연구가 활 발하게 진행되고 있음을 확인하였다. 본 연구는 다국적 기업의 주요 의사결정 중 하나인 해외 입지 선정과 관련 된 연구 동향을 분석하여, 연구자들에게 미래 연구 방향을 제시하는 데 도움을 줄 수 있을 것으로 기대된다. 뿐 만 아니라, 높아진 글로벌 환경 불확실성과 지정학적 위험 상황에서, 공급망과 해외 자회사 입지 선정과 재배치, 리쇼어링 등과 관련한 의사결정과 관련하여 기업의 경영자들과 실무자들에게도 유익한 시사점을 제공할 수 있을 것으로 기대한다.

This study aimed to evaluate the application of the multi-criteria decision-making approach, specifically Fuzzy-TOPSIS, in agriculture official development assistance (ODA) projects. The focus of the study was to identify the optimal location for establishing the Korea Agricultural Business Innovation Center (K-ABIC) in Uganda, as part of the "Strengthening Capacity for Youth Agribusiness Development in Uganda (SCADU)" project. In this study, six decision-makers assessed four candidate locations (alternatives) based on four criteria: accessibility, potential for rent expense reduction, suitability as an office and educational facility, and sustainability. Linguistic scales were utilized and transformed into triangular fuzzy numbers. Closeness coefficients (CC) were then calculated to prioritize the optimal location, which was found to be the Technology Research Center located in Makerere University Agricultural Research Institute Kabanyolo, outside of Kampala (alternative 3). The findings of this study confirmed the applicability and usefulness of Fuzzy-TOPSIS through a real case study conducted in Uganda. The practical implementation of multi-criteria decision-making methods, such as Fuzzy-TOPSIS, is expected to contribute to resolving decision-making challenges in the field of international development cooperation.

Economic Development Zone(EDZ) in the province is one of the foreign policy for economic development of North Korea. North Korea has promulgated 27 Economic Development Zones(5 EDZs as central level and 22 EDZs as provincial level) to promote economic growth through the expansion of external opening policy. EDZs of the provinces play an important role in North Korea’s national and regional economic growth. The purpose of this study is to select analytical criteria that can be quantified when considering the location conditions of North Korean economic development zones when domestic companies advance into North Korea according to the progress of inter-Korean economic cooperation, and derive the relative importance between the criteria. After that, based on this, we intend to quantify the evaluation of the location priority of the economic development zone. In this study, through AHP analysis results, when domestic companies enter North Korea, we derive the importance and preference of location selection factors when considering the location conditions of North Korean economic development zones. Taking into account the reality of North Korea when the Korean company entered the North economic development zone following location for evaluation. That is, logistics and transportation, industrial infrastructure, competitiveness, and management incentives. And 14 sub-factors were selected and AHP analysis was performed.

Automobiles are largely divided into passenger cars with less than five passengers and commercial vehicles such as construction machines, trucks, mixers, special lorries, and large buses. Automobile maintenance companies are also divided into passenger cars and commercial vehicles. Because commercial vehicles are the livelihood vehicles of individual carriers engaged in cargo transportation, passenger transportation, and construction, fast and accurate maintenance is important. Access to the expressway is also important because the car is large and uses highways. In addition, the time required for troubleshooting is long, so sufficient space must be secured for parking the vehicle, and ease of entry and exit of the vehicle in the maintenance shop should be fully considered. For this reason, commercial vehicle maintenance companies have higher initial investment costs than car maintenance companies, and it is difficult to supply and maintain maintenance personnel. Therefore, it is necessary to carefully examine and analyze various related factors for successful commercial vehicle maintenance company selection. However, most existing commercial vehicle maintenance companies often choose their location based on the empirical judgment of the founder, the customs and the case, without a clear analysis. In this study, we show how to derive the location selection factors to be considered when establishing professional maintenance company for commercial vehicles and to select the optimal location by using AHP (Analytic Hierarchy Process) method.

In South Korea, Jeju Island has a role as a test bed for electric vehicles (EVs). All conventional cars on the island are supposed to be replaced with EVs by 2030. Accordingly, how to effectively set up EV charging stations (EVCSs) that can charge EVs is an urgent research issue. In this paper, we present a case study on planning the locations of EVCS for Jeju Island, South Korea. The objective is to determine where EVCSs to be installed so as to balance the load of EVCSs while satisfying demands. For a public service with EVCSs by some government or non-profit organization, load balancing between EVCS locations may be one of major measures to evaluate or publicize the associated service network. Nevertheless, this measure has not been receiving much attention in the related literature. Thus, we consider the measure as a constraint and an objective in a mixed integer programming model. The model also considers the maximum allowed distance that drivers would detour to recharge their EV instead of using the shortest path to their destination. To solve the problem effectively, we develop a heuristic algorithm. With the proposed heuristic algorithm, a variety of numerical analysis is conducted to identify effects of the maximum allowed detour distance and the tightness of budget for installing EVCSs. From the analysis, we discuss the effects and draw practical implications.

Solar energy has been known as a successful alternative energy source, however it requires a large area to build power generation facilities compared to other energy sources such as nuclear power. Weather factors such as rainy weather or night time impact on solar power generation because of lack of insolation and sunshine. In addition, solar power generation is vulnerable to external elements such as changes in temperature and fine dust. There are four seasons in the Republic of Korea hereby variations of temperature, insolation and sunshine are broad. Currently factors that cause find dust are continuously flowing in to Korea from abroad. In order to build a solar power plant, a large area is required for a limited domestic land hereby selecting the optimal location for the plant that maximizes the efficiency of power generation is necessary. Therefore, this research analyze the optimal site for solar power generation plant by implementing analytic hierarchy process based on weather factors such as fine dust. In order to extract weather factors that impact on solar power generation, this work conducts a case study which includes a correlation analysis between weather information and power generation.

As supply chains are globalized, multinational companies are trying to optimize distribution networks using a hub and spoke structure. In this hub and spoke network structure, multinational companies locate regional distribution centers at hub airports, which serve demands in their corresponding regions. Especially when customers put higher priority on the service lead-time, hinterlands of international hub airports become ideal candidate locations for the regional hub distribution centers. By utilizing excellent airport and logistics services from hub airports, regional distribution centers in the hub airports can match supply with demand efficiently. In addition, regional hub distribution centers may increase air cargo volume of each airport, which is helpful in the current extremely competitive airport industry. In this paper, we classified locational preferences into three primary categories including demand, service and risk and applied the analytic hierarchy process methodology to prioritize factors of locational preferences. Primary preference factors include secondary factors. Demand factor contains access to current and prospect markets. Service factor comprises airport and logistics perspectives. Service factor in terms of airport operations includes secondary factors such as airport service and connectivity. Service factor in terms of logistics operations contains infrastructure and logistics operations efficiency. Risk factor consists of country and business risks. We also evaluated competitiveness of Asian hub airports in terms of candidate location for regional hub distribution centers. The candidate hub airports include Singapore, Hong Kong, Shanghai, Narita and Incheon. Based on the analytic hierarchy process analysis, we derived strategic implications for hub airports to attract multinational companies’ regional hub distribution centers.

modern logistics are required to carry out functions such as timely adjustment and swift adaptation to changing patterns, and this leads to the emphasis on forming logistics parks. Logistics parks make profits using the efficiency of time and space. Such logistics parks play an important role in a corporation creating operating profits as well as acting as a method of alternative investment for individuals. Logistics parks no longer simply store materials, but have become a place that plays an important role in various areas of corporate and individual activities, and thus the analysis of the selection of the location of logistics parks and the related characteristics is extremely important. There are many existing studies on the selection of locations of logistics parks but work on the factors related to location selection by industry seem lacking. As such, in the course of this study we have used preceeding studies to draft a questionnaire on which selection factors affect the selection of logistics park location in different industries and conducted empirical analysis of the questionnaire results to uncover the factors that affect the selection of the locations of logistics parks in different industries.

Location selection of distribution centers is a crucial task for logistics operators and key decision makers of an organization. This is a multi-criteria decision making (MCDM) process which includes both quantitative and qualitative criteria. In order to propose an optimized location selection model, this research suggests a hierarchical group of evaluation criteria : 5 major criteria with 15 sub-criteria. The MCDM approach presented in this research, by integrating Grey Relational Analysis (GRA) with Analytic Hierarchy Process (AHP), tends to rectify the overall quality and uncertainty of the values of evaluation criteria. An example of a location selection case in Korea is illustrated in this study to show the effectiveness of this method.