10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-To-The-Chinese Population"

10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-To-The-Chinese Population"

THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Average Average Transit Distance to the Lead-Time to the Number of Chinese Population Chinese Population Warehouses (Miles) (Days) Best Warehouse Locations ONE 504 3.38 XINYANG TWO 377 2.55 LIANYUAN FEICHENG THREE 309 2.15 PINGXIANG JINAN ZIYANG PINGXIANG JINING ZIYANG FOUR 265 1.87 CHANGCHUN SHAOGUAN HANDAN ZIYANG FIVE 228 1.65 CHANGCHUN NANJING SHAOGUAN HANDAN NEIJIANG SIX 207 1.53 CHANGCHUN NANJING URUMQI GUANGZHOU HANDAN NEIJIANG SEVEN 184 1.42 CHANGCHUN JINGJIANG URUMQI HONGHU GUANGZHOU LIAOCHENG YIBIN EIGHT 168 1.31 CHANGCHUN YIXING URUMQI HONGHU BAOJI BEILIU LIAOCHENG YIBIN NINE 154 1.24 CHANGCHUN LIYANG URUMQI YUEYANG BAOJI ZHANGZHOU BEILIU KAIFENG YIBIN CHANGCHUN YIXING URUMQI TEN 141 1.20 YUEYANG BAOJI ZHANGZHOU TIANJIN The 10 Best Chinese Warehouse Networks have been developed based on the lowest possible transit lead-times to "customers" represented by the Chinese population. For example, Xinyang provides the lowest possible lead-time for one warehouse. Any other place will increase transit lead-time to the Chinese population. Similarly putting any three warehouses in any locations other than Pingxiang, Jinan or Ziyang will cause the transit lead-time to be higher than 2.15 days. © Chicago Consulting 8 South Michigan Avenue, Chicago, IL 60603 Chicago Consulting (312) 346-5080, www.chicago-consulting.com THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best One City Network: Xinyang, Henan Chicago Consulting THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Two City Network: Lianyuan, Hunan; Feicheng, Shandong Chicago Consulting THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Three City Network: Pingxiang, Jiangxi; Jinan, Shandong; Ziyang, Sichuan Chicago Consulting THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Four City Network: Pingxiang, Jiangxi; Jining, Shandong; Ziyang, Sichuan; Changchun, Jilin Chicago Consulting THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Five City Network: Shaoguan, Guangdong; Handan, Hebei; Ziyang, Sichuan; Changchun, Jilin; Nanjing, Jiangsu Chicago Consulting THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Six City Network: Shaoguan, Guangdong; Handan, Hebei; Neijiang, Sichuan; Changchun, Jilin; Nanjing, Jiangsu; Urumqi, Xinjiang Chicago Consulting THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Seven City Network: Guangzhou, Guangdong; Handan, Hebei; Neijiang, Sichuan; Changchun, Jilin; Jingjiang, Jiangsu; Urumqi, Xinjiang; Chicago Consulting Honghu, Hubei THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Eight City Network: Guangzhou, Guangdong; Liaocheng, Shandong; Yibin, Sichuan; Changchun, Jilin; Yixing, Jiangsu; Urumqi, Chicago Consulting Xinjiang; Honghu, Hubei; Baoji, Shaanxi THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Nine City Network: Beiliu, Guangxi; Liaocheng, Shandong; Yibin, Sichuan; Changchun, Jilin; Liyang, Jiangsu; Urumqi, Xinjiang; Yueyang, Chicago Consulting Hunan; Baoji, Shaanxi; Zhangzhou, Fujian THE 10 BEST CHINESE WAREHOUSE NETWORKS Networks with the Lowest Possible "Time-to-the-Chinese Population" Best Ten City Network: Beiliu, Guangxi; Kaifeng, Henan; Yibin, Sichuan; Changchun, Jilin; Yixing, Jiangsu; Urumqi, Xinjiang; Yueyang, Hunan; Chicago Consulting Baoji, Shaanxi; Zhangzhou, Fujian; Tianjin, Tianjin .

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