A Study of the Efficient Coordination of Logistic Distribution Centers for the China Project

Jin,, J. , & Zhang,, B. (2018). A Study of the Efficient Coordination of Logistic Distribution Centers for the China Project. The Journal of Industrial Distribution & Business, 9(8), 27-34, https://doi.org/https://doi.org/10.13106/ijidb.2018.vol9.no8.27.

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Abstract

Purpose - This paper discussed and illustrated the most efficient method to calculate the distribution centers for a national project in China. Through demonstration of implementing the GIS, spatial analysis, and location calculation model, this paper mainly dealt with the construction distribution problem and inconvenient supply of materials problems. Research design, data, and methodology - In this paper, the research design structure based on three steps: implementing the Geographic Information System to locate the points coordination data, calculating the distribution centers of the project, and optimizing the most efficient and effective coordination. The data of the calculation is from an actual project. The methodology of this paper is summarizing the spatial analysis capabilities and digital graphic data calculation to locate logistics distribution centers, and since the illustration of the calculation is useful for locating the coordination, the result of this paper has certain reference values for the project construction. Results - This paper illustrates the steel and cement resource of every distribution point to confirm the most efficient distribution center location coordination. Conclusions - The integrated logistical management models are used to ensure the results for the purposes of our calculation. The result of the calculation is also a useful example for future Chinese national projects.

keywords: ArcView, GIS, Location, Logistic, Distribution Center

Reference

Ailawadi, K. L., Zhang, J., Krishna, A., & Kruger, M. W. (2010). When Wal-Mart Enters: How Incumbent Retailers React and How This Affects Their Sales Outcomes. Journal of Marketing Research, 47(4), 577-593.

An, L., Choi, N. H., & Lim, A. Y. (2013). The Roles of Economic Benefits and Identity Salience: Inducing Factors in the Behavioral Intent to Use Outlet Shopping Centers. Journal of Distribution Science, 11(6), 41-50.

Bansal, V. K., & Pal, M. (2009). Extended GIS for Construction Engineering by Adding Direct Sunlight Visualizations on Buildings. Construction Innovation, 9(4), 406-419.

Barratt, M. (2004). Understanding the Meaning of Collaboration in the Supply Chain. Supply Chain Management: An International Journal, 9(1), 30-42.

Bloch, P. H., & Richins, M. L. (1983), Shopping Without Purchase: An Investigation of Consumer Browsing Behavior. Advances in Consumer Research, 10, 389-393.

Cassivi, L. (2006). Collaboration Planning in a Supply Chain. Supply Chain Management: An International Journal, 11(3), 249-258.

Cox, A. (1999). Power, Value and Supply Chain Management. Supply Chain Management: An International Journal, 4(4), 167-175.

Fatemi, A., & Glaum, M. (2000). Risk Management Practices of German Firms. Managerial Finance, 26(3), 1-17.

Fraser, I., & Henry, W. (2007). Embedding Risk Management: Structures and Approaches. Managerial Auditing Journal, 22(4), 392-409.

10.

Galloway, D., & Funston, R. (2000). The Challenges of Enterprise Risk Management. Balance Sheet, 8(6), 22-25.

11.

Garofoli, G. (2002). Local Development in Europe:Theoretical models and international comparisons. European Urban and Regional Studies, 9(3), 225-239.

12.

Hoole, R. (2005). Five Ways to Simplify Your Supply Chain. Supply Chain Management: An International Journal, 10(1), 3-6.

13.

Jüttner, U., & Maklan, S. (2011). Supply Chain Resilience in the Global Financial Crisis: An Empirical Study. Supply Chain Management, 16(4), 246-259.

14.

Kim, K. C. (2009). A Study on Improving Scheme and An Investigation into the Actual Condition about Components of Physical Distribution System. Journal of Distribution Science, 7(4), 47-56.

15.

Marco, A. D., & Mangano, G. (2011). Relationship between Logistic Service and Maintenance Costs of Warehouses. Facilities, 29(9/10), 411-421.

16.

New, S. J. (2007). The Scope of Supply Chain Management Research. Supply Chain Management:An International Journal, 2(1), 15-22.

17.

Oloruntoba, R., & Gray, R. (2006). Humanitarian Aid: An Agile Supply Chain?. Supply Chain Management:An International Journal, 11(2), 115–120.

18.

Park, J. S., & Kwon, M. K. (2016). A study of Kosa Mart Re-design for the Development of Nadle Stores. Journal of Distribution Science, 14(10), 153-164.

19.

Prasanta, K., Dey, S., & Ogunlana, O. (2004). Selection and Application of Risk Management Tools and Techniques for Build-Operate-Transfer Projects. Industrial Management and Data Systems, 104(4), 334-346.

20.

So, J. H., & Hwang, H. J. (2012). A Study on the Locational Decision Factors of Discount Stores: The Case of Cheonan. Journal of Distribution Science, 10(5), 37-43.

21.

Shuai Su (2013). A study of Chinese distribution policies and challenges. The International Journal of Industrial Distribution & Business, 4(1), 11-14.

22.

Shuai Su (2013). Study of Chinese Distribution Market Trends. Journal of Distribution Science, 11(9), 31-34.

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Article Contents

Vol.9 No.8

A Study of the Efficient Coordination of Logistic Distribution Centers for the China Project

Abstract

Reference

The Journal of Industrial Distribution & Business