Ding Zhang

Ding Zhang


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 February 2017 in International Transactions in Operational Research
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Journal Article
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HYHui Yang
Hui Yang
DZDing Zhang
Ding Zhang
CZChen Zhang
Chen Zhang

10 June 2015 in Journal of Systems Science and Systems Engineering
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Journal Article
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Ming LiuMing Liu
Ming Liu
ZZZhe Zhang
Zhe Zhang
DZDing Zhang
Ding Zhang

21 January 2019 in International Transactions in Operational Research
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Ming LiuMing Liu
Ming Liu
XXXifen Xu
Xifen Xu
DZDing Zhang
Ding Zhang

1 January 2019 in Journal of Industrial and Management Optimization
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LWLisha Wang
Lisha Wang
HSHua Ming Song
Hua Ming Song
DZDing Zhang
Ding Zhang
HYHui Yang
Hui Yang
The paper considers the pricing problem of complementary products in a fuzzy dual-channel supply chain environment where there are two manufacturers and one retailer. Four different decision models are established to study this problem: the centralized decision model, MS-Bertrand model, RS-Bertrand model and Nash game model, where the consumer demand and manufacturing cost for each product are characterized as fuzzy variables. A closed form solution has been obtained for each model by using game theory and fuzzy theory. Numerical examples are presented to compare the maximal expected profits and optimal pricing decisions, and to provide additional managerial insights. The finding shows that the decision makers are more likely to choose industries with higher self-price elastic coefficient and lower complementarity in the retail channel to cooperate. We can obtain that consumers can benefit from the cooperation of the two manufacturers because of lower prices. We can also find that it might not be bad for retailer because it can expand demand and obtain more maximal expected profits.

25 June 2020 in Operational Research
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Journal Article
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DCDongyan Chen
Dongyan Chen
CTChunying Tian
Chunying Tian
ZCZhaobo Chen
Zhaobo Chen
DZDing Zhang
Ding Zhang

8 October 2022 in Energies
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QZQiuyun Zhu
Qiuyun Zhu
XZXiaoyang Zhou
Xiaoyang Zhou
Aijun LiuAijun Liu
Aijun Liu
CGChong Gao
Chong Gao
Lei XuLei Xu
Lei Xu
Benjamin LevBenjamin Lev
Benjamin Lev
This paper studies the multi-level supply chain network equilibrium optimization problem of multi-energy-efficiency products under different government subsidies and demand scales. In the equilibrium optimization problem, manufacturers determine the production volume of the energy-saving products; retailers decide the transaction volume with manufacturers, distribution volume for markets, and marketing efforts of energy-saving products; markets determine the transaction price. Firstly, the optimal decision-making behaviors of manufacturers, retailers, and markets are described. Simultaneously, the global optimization problem is transformed into a finite-dimensional variational inequality formulation. Then, the equilibrium conditions of the whole supply chain network are derived by the Euler method. Finally, a case study verifies the effectiveness of the proposed method. Interestingly, we found that energy-saving subsidies and demand scales were negatively correlated with the marketing efforts of the subsidized retailers for high energy-efficient products and positively correlated with the marketing efforts of non-subsidized retailers for high energy-efficient products in the same market; the development of retailers in the same market tended to be consistent, and the differentiation of the demand scale eliminated the retailers without a competitive advantage.