Collaborative Optimal Pricing Model of Dual-Channel Supply Chain

Zheng, Liu; Xu, Qi

doi:10.2174/1874110x01509010775

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Chen and Wang [5] studied smart phone supply channel selection in different power structures; they pointed out that the firm who has higher channel power will gain more profit. Liu and Xu [6] proved that dual-channel collaborative pricing enabled avoiding risk effectively. Gao et al [7] established three price models on dual-channel closed-loop supply chain; the results showed that when customer's acceptance with the Internet channel increases, the wholesale price and retail price would decrease, while the optimal recycling transfer price was not affected.…”

Section: Introductionmentioning

confidence: 99%

The Complexity Analysis in Dual‐Channel Supply Chain Based on Fairness Concern and Different Business Objectives

Zhang

Huang

2018

Complexity

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We study a dual-channel supply chain which consists of one dual-channel manufacturer and one traditional retailer considering fairness concern. The manufacturer takes the market share as one of its business objectives in the competition game. We are devoted to establishing a vertical Nash game model and analyzing the price evolution of the model via the method of complexity theory and take adaptive adjustment control method to control the system's chaotic state. The results show that an excessive price adjustment speed will hurt the system's stability as well as profit of the supply chain. A high level fair caring for retailer will push the system to fall into chaos earlier, while a higher level fair caring for manufacturer will enlarge the stability region of the system. Setting the different objectives by the manufacturer will cause drastic competition in dual-channel supply chain. The research of this paper is of great significance to the decision-makers' price decision and supply chain operation management.

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Section: Introductionmentioning

confidence: 99%

The Complexity Analysis in Dual‐Channel Supply Chain Based on Fairness Concern and Different Business Objectives

Zhang

Huang

2018

Complexity

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“…However, due to the volatility of the express delivery market, the price of one express delivery will change with the operation between the supplier and the demander and the market environment. Thus, as an effective method to study price decisions, game theory has been studied by many scholars [11][12][13][14]. In actual economic activities, service pricing is an important problem to be solved in the development of a joint distribution system.…”

Section: Introductionmentioning

confidence: 99%

A Joint Distribution Pricing Model of Express Enterprises Based on Dynamic Game Theory

Fan,

Sun,

Yun

et al. 2023

Mathematics

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With the development of sharing economy, a joint distribution mode has been increasingly adopted as the preferred cooperation mode of third-party logistics enterprises to achieve the efficient, resource-saving, and profit-optimal business goals of enterprises. In the joint distribution mode, the distribution price is one of key factors that influences the operation of the joint distribution. Thus, to acquire the optimal pricing for the logistics enterprises, we establish a pricing model based on dynamic game theory for a joint distribution system including one joint distribution company and two express enterprises. In the proposed model, two dimensions of games exist simultaneously, including the game between express competitors and the game between express and distribution enterprises. The multidimensional game leads to more complex system characteristics. Through the stability analysis, we find the Nash equilibrium point and its stability conditions. Numerical simulations are conducted to investigate the complex dynamical behaviors of the game model, such as the system stability region, the bifurcation diagram, the largest Lyapunov exponent, strange attractors, etc. The simulation results indicate that different price adjustment speeds and ranges have a significant impact on the system stability and the profits of all participants in the game. The parameter adjustment control can well dominate the chaotic behaviors of the system. Enterprises should make pricing decisions based on their market positions to promote the continuous and stable development of the operation mode of the multi-agent joint sharing distribution center.

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