Research Article | OPEN ACCESS
An Order Allocation Model based on the Competitive and Rational Pre-Estimate Behavior in Logistics Service Supply Chain
Weihua Liu, Meiying Ge and Chunling Liu
School of Management, Tianjin University, 92, Weijin Road, Nankai District, Tianjin, China
Research Journal of Applied Sciences, Engineering and Technology 2013 12:2141-2152
Received: December 07, 2012 | Accepted: January 17, 2013 | Published: July 30, 2013
Abstract
In the actual order allocation process of Logistics Service Supply Chain (LSSC), Functional Logistics Service Providers (FLSPs) are strategic: they will pre-estimate the order allocation results to decide whether or not to participate in order allocation. Considering a two-echelon Logistics Service Supply Chain (LSSC) consisting of one Logistics Service Integrator (LSI) and several competitive FLSPs, we establish an order allocation optimization model of LSSC based on the pre-estimate and competitive behavior of FLSPs. The model considers three objectives: to minimize the cost of LSI, to maximize the order satisfaction of FLSPs and to match the different logistics capacities of FLSPs as much as possible. Numerical analysis is performed to discuss the effects of the competition among FLSPs on the order allocation results. The results show that with the rational expectations equilibrium, competitions among FLSPs help improve the comprehensive performance of LSSC.
Keywords:
Competition, logistics service supply chain, order allocation, rational expectations equilibrium,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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