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리진 ( Jin Lee ),류홍옥 ( Hong Yu Liu ) 한국외국어대학교 중국연구소 2014 中國硏究 Vol.62 No.-
Beijing office building market has received the most attention from cross-borders as an investment area. However, the research on the Beijing office market has been only in the initial stage, and in particular, there has been no research on relationships for Rent and Vacancy Rate, which are the key factors of risk of return on investment. This paper presents estimates of adjustment model of office building market using Rent and Vacancy Rate relationships. Rent, Vacancy Rate and new supply is applied to model as characteristic factors of office building market. CPI, interest rate, office workers`` number, GDP, FDI is applied to model as characteristic factors of macroeconomics. The model is estimated using data from the Beijing office market over 2000-2013 and Statistical methods of OLS is used to estimate relationship between the variables. The result shows that the Rent and Vacancy Rate has a positive effect and accord to the previous theory that Vacancy Rate decreases with increasing Rent. Also we found that CPI, interest rate has positive relationship with rent, GDP has positive relationship with vacancy rate, Whereas FDI and office workers have negative relationships with vacancy rate. It means GDP affect office building market as supply factor, on the other hand, FDI and office workers is demand factors in Beijing.
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Li Jin(리진),Yongdae Lee(이용대),Sheungkown Kim(김승권) 한국경영과학회 2010 한국경영과학회 학술대회논문집 Vol.2010 No.10
Order picking in automotive service parts warehouses is considered as the most labour-intensive operation. Such warehouses contain hundreds of thousands of items but normally 20% of products contribute to about 80% of turnover according to Pareto’s principle of 80-20 rule. Therefore most of fast moving items are located near outbound area which is called “Golden Zone”. Order picking routing efficiency is related to productivity and labor cost. However, most companies use simple methods. This study compares various routing heuristics in the automotive service parts warehouse. We focus on examining the influence of golden zone on routing method selection and present a practical case study.
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