Impact of the product characteristics on the distribution strategy selection: a literature review

  • Yassine Benrqya Al Akhawayn University
Keywords: cross-docking, traditional warehousing, product segmentation, product characteristicsn, supply chain strategy selection

Abstract

Nowadays companies must look at developing new distribution strategies in order to achieve the required performances from their supply chain. In this quest, companies wonder about the consistency of their distribution strategy with the types of products they are selling. This paper deals with product segmentation and distribution strategy selection (cross-docking versus traditional warehousing). In the literature many factors have been described for product segmentation and supply chain selection. We classify these factors into four major groups (product, market, product/market, and supply/source factors). A literature review for each element of the groups and the supply chain orientation or distribution/inventory location strategy is carried out and summarized in a table. Finally we conclude by a discussion about the utility of this table and the opportunities to improve and extend the current research are indicated.

Author Biography

Yassine Benrqya, Al Akhawayn University

School of Business Administration, Al Akhawayn University, Ifrane 53000, Morocco

References

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[9] Uday, M. Apte, & Viswanathan, S. (2000). Effective cross docking for improving
distribution efficiencies. International Journal of Logistics Research and Applications, 3(3),
291–302.
[10] Waller, Matthew A., Cassady, C. Richard, & Ozment, John. (2006). Impact of crossdocking on inventory in a decentralized retail supply chain. Transportation Research Part E:
Logistics and Transportation Review, 42(5), 359–382.
[11] Payne, Tim, & Peters, Melvyn J. (2004). What is the right supply chain for your products?
The International Journal of Logistics Management, 15(2), 77–92.
[12] Lovell, Antony, Saw, Richard, & Stimson, Jennifer. (2005). Product value-density:
Managing diversity through supply chain segmentation. The International Journal of Logistics
Management, 16(1), 142–158.
[13] Vonderembse, M., Uppal, M., Huang, S., & Dismukes, J. (2006). Designing supply chains:
Towards theory development. International Journal of Production Economics, 100, 223–238.
[14] Vogt, John Joseph. (2010). The successful cross-dock based supply chain. Journal of
Business Logistics, 31(1), 99.
[15] Whiteoak, P. (1999). Rethinking efficient replenishment in the grocery sector. In John
Fernie and Leigh Sparks (Eds.), Logistics and retail management (pp. 138–163). London: Kogan
Page.
[16] Musa, Rami, Arnaout, Jean-Paul, & Jung, Hosang. (2010). Ant colony optimization
algorithm to solve for the transportation problem of cross-docking network. Computers and
Industrial Engineering, 59(1), 85–92. doi:10.1016/j.cie.2010.03.002.
[17] Shakeri, Mojtaba, Low, Malcolm Yoke Hean, Turner, Stephen John, & Lee, Eng Wah.
(2012). A robust two-phase heuristic algorithm for the truck scheduling problem in a resourceconstrained crossdock, Computers and Operations Research, 39(11), 2564–2577.
[18] Dondo, Rodolfo, Méndez, Carlos A., & Cerdá, Jaime. (2011). The multi-echelon vehicle
routing problem with cross docking in supply chain management. Computers and Chemical
Engineering, 35(12), 3002–3024.
Published
2018-01-31
How to Cite
Benrqya, Y. (2018, January 31). Impact of the product characteristics on the distribution strategy selection: a literature review. EPH - International Journal of Business & Management Science (ISSN: 2208-2190), 4(1), 10-27. Retrieved from https://ephjournal.com/index.php/bms/article/view/437