The Cost Minimization Model in Warehouse Distribution System
International Journal of Management and Fuzzy Systems
Volume 3, Issue 5, October 2017, Pages: 75-79
Received: Aug. 13, 2017; Accepted: Aug. 31, 2017; Published: Nov. 8, 2017
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Syed Abdul Rehman Khan, School of Economics and Management, Chang’an University, Xi’an, China
Yu Zhang, School of Economics and Management, Chang’an University, Xi’an, China
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In today’s world, warehousing and distribution centres play a vital role to fulfil customer demand and requirement. Firms cannot ignore the importance of warehouse and distribution centres. In addition, firms are using DCs (distribution centres) and warehouses for valuation addition purposes such as, postponement strategies, break-bulking, consolidation, and packing and packaging etc. This research aim is to develop a model to reduce warehouse cost and increase or improved customer service. The results and discussions with personnel’s of distribution department seem to offer a lesson. It is that, though human distribution “optimizers” out of necessity, must concentrate their efforts on maintaining the most economical primary shipment transportation system, a mechanical “optimizer” like as MODS (model of optimizing distribution centres) is able to find out and determine the most economical system from the standpoint of whole the relevant costs to be considered.
Warehousing, Distribution Centres, MODS, Transportation Routes
To cite this article
Syed Abdul Rehman Khan, Yu Zhang, The Cost Minimization Model in Warehouse Distribution System, International Journal of Management and Fuzzy Systems. Vol. 3, No. 5, 2017, pp. 75-79. doi: 10.11648/j.ijmfs.20170305.13
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Atkins, Robert J. and Shriver, Richard H., (1968), “New approach to facilities location” Harvard Business Review Vol. 46, No. 03.
Kuehn, Alfred A. and Hamburger, Michael J., (1963), “A Heuristic Program for Locating Warehouses,” Management Science Vol. 9, No. 4.
Cooper, Leon, (1972), “The transportation-location problem,” Operations Research Vol. 20, No. 1.
Devine, M. D. and Lesso, W. G., (1972), “Models for minimum cost development of Offshore oil fields,” Management Science Vol. 18, No. 8.
Feldman, E., Lehrer, F. A., and Ray, T. L., (1966), “Warehouse Location under Continuous Economies of Scale,” Management Science Vol. 12, No. 9.
Khumawala, Basheer M., (1972), “An Efficient Branch and Bound Algorithm for the Warehouse Location Problem,” Management Science Vol. 18, No. 12.
Michael, George C., (1972), “A Review of Heuristic Programming,” Decision Sciences Vol. 3, No. 3.
Revelle, Charles, Marks, David, and Liebman, Jon C., (1970), “An Analysis of Private and Public Sector Location Models,” Management Science Vol. 16, No. 11.
Whybark, D. Clay and Khumawala, Basheer M., (1972), “A Survey of Facility Location Problems,” Krannert Graduate School of Industrial Administration Institute paper Series No. 350, Purdue University.
Khan, S. A. R., Dong, Q. L., & Yu, Z. (2016). Research on the Measuring Performance of Green Supply Chain Management: In the Perspective of China. International Journal of Engineering Research in Africa, 27, 167–178.
Khan, S. A. R., & Qianli, D. (2017). Impact of green supply chain management practices on firms’ performance: an empirical study from the perspective of Pakistan. Environmental Science and Pollution Research.
Khan, S. A. R., Qianli, D., Song Bo, W., Zaman, K., & Zhang, Y. (2017). Environmental logistics performance indicators affecting per capita income and sectoral growth: evidence from a panel of selected global ranked logistics countries. Environmental Science and Pollution Research, 24(2), 1518–1531.
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