Multi-Period Coordination Mechanism Based on Revenue Sharing Contract in VMI Model

Multi-Period Coordination Mechanism Based on Revenue Sharing Contract in VMI Model

Year:    2019

Author:    Jinfa Li, Yunying Zhang, Zhenxiao Wang, Hongbing Jiang

Advances in Applied Mathematics and Mechanics, Vol. 11 (2019), Iss. 4 : pp. 980–1004

Abstract

Vendor Managed Inventory (VMI) model coordinates the supply chain, for the vendor is authorized to manage retailer's inventory and revenue-sharing contract helps to achieve the coordination. In this paper, a multi-period two-echelon supply chain coordination model, which is composed of a manufacturer and a retailer, is built. Under the assumption that the market demand rate is affected by time, sales price and the current inventory level, the supply chain profit models of centralized decision and decentralized decision based on VMI model are established respectively, with optimal decisions obtained in each model. Furthermore, the revenue sharing contract is used to synchronize the supply chain in the VMI model and in turn the analytical model in the supply chain to achieve Pareto improvement is obtained. An equation describing thin film oscillating is used to correct the profit value in VMI model to simulate the reality. Finally, a numerical illustration validating the model and analytical results showing parameters' varying effects on the profit and optimal quantity of each party, are presented. The results demonstrate that the revenue sharing contract is able to simultaneously improve the interests of parties in the multi-period VMI supply chain.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.OA-2018-0172

Advances in Applied Mathematics and Mechanics, Vol. 11 (2019), Iss. 4 : pp. 980–1004

Published online:    2019-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    25

Keywords:    Multi-period supply chain VMI revenue sharing contract Fourier transform.

Author Details

Jinfa Li

Yunying Zhang

Zhenxiao Wang

Hongbing Jiang

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