基于提前支付且考虑银行存贷的资金约束供应链最优定价决策

doi:10.16381/j.cnki.issn1003-207x.2020.08.005

摘要/Abstract

摘要： 针对由单一制造商和单一零售商组成的供应链，考虑制造商或零售商在资金闲置与资金约束时向银行存款与贷款的情形，研究了供应链Stackelberg定价策略。首先，给出了市场需求函数；然后，考虑销售收入的零存整取收益、利润的存款收益以及贷款损失，分别构建了制造商资金约束与零售商资金约束两种情形下基于提前支付且考虑银行存贷的供应链成员利润函数；进一步地，依据Stackelberg理论，确定了两种权力结构下供应链的最优策略；在此基础上，分析了零存整取利率、存款利率和贷款利率对供应链最优策略的影响；最后，针对不同资金约束对象与不同权力结构，对比分析了银行利率对供应链最优策略的影响差异，揭示其背后的影响机理。研究结果表明，三种银行利率均会影响供应链的最优策略，相对于供应链权力结构，其影响与供应链资金约束对象更加相关。

关键词: 供应链定价, 资金约束, 提前支付, 银行存贷, Stackelberg博弈

Abstract: In reality, supply chain members may confront with the fund shortage problem because of un-received payment, prepayment and inventory backlog, and need to apply for bank loan to ensure their benign operations. Supply chain members may deposit the idle fund for bank interest when they have the sufficient capital such as sales revenue and profit, for example, the retailer may deposit the sales revenue by the rate for fixed deposit by installments, the manufacturer may deposit the profit by the interest rate for benefit. The advance payment scheme refers to a way that the retailer transfers the payment to the manufacturer before the production process of the manufacturer. In addition, there are two supply chain power structures. Under the consideration of deposits and loans of the bank based on the advance payment scheme, how to determine the optimal policy of wholesale price and margin price for the different supply chain power structures in finance-constrained supply chain, it is a worthy and significant problem.
In this paper, it is assumed that the supply chain comprises a manufacturer and a retailer, and one of them is finance-constrained or the leader of the supply chain. The following four situations are considered: the manufacturer is finance-constrained and the leader of the supply chain (MS-MC), the manufacturer is finance-constrained and the retailer is the leader of the supply chain (RS-MC), the retailer is finance-constrained and the manufacturer is the leader of the supply chain (MS-RC), the retailer is finance-constrained and the leader of the supply chain (RS-RC). Furthermore, the demand function and profit functions are built, and the optimal policies of supply chain members are determined for four situations. Then, the optimal wholesale price of the manufacturer and the optimal margin price of the retailer are analyzed for four situations, and the impacts of the bank rates, i.e., the rate for fixed deposit by installments, deposit interest and loan interest, on the optimal pricing policies and profits of the supply chain members are investigated. In addition, the comparison analysis for the following four cases is conducted: comparing the optimal policies and the impacts of bank rates on the optimal policies and profits of supply chain between situations MS-MC and RS-MC, MS-RC and RS-RC, MS-MC and MS-RC, RS-MC and RS-RC.
Several important results are shown through the theoretical analysis. The rate for fixed deposit by installments, deposit interest and loan interest can affect the optimal policies and profits of supply chain members to varying degree for four situations MS-MC, RS-MC, MS-RC and RS-RC. The effect mechanism is related to the finance-constrained objectives and the supply chain power structures. Compared with the supply chain power structures, the effect mechanism is more related to the finance-constrained objectives. Furthermore, five useful managerial insights are obtained for guiding the decision-maker in practice. In addition, it is also shown that the advance payment can relieve the manufacturer's pressure on the finance, but intensifies the degree of the financial constraints of retailer.

Key words: supply chain pricing, financial constraint, advance payment, deposits and loans of bank, Stackelberg game

中图分类号:

C931
F274

曹兵兵, 樊治平, 尤天慧, 刘春怡. 基于提前支付且考虑银行存贷的资金约束供应链最优定价决策[J]. 中国管理科学, 2020, 28(8): 52-64.

CAO Bing-bing, FAN Zhi-ping, YOU Tian-hui, LIU Chun-yi. Optimal Pricing Decision in Finance-constrained Supply Chain Considering Deposits and Loans of the Bank Based on the Advance Payment[J]. Chinese Journal of Management Science, 2020, 28(8): 52-64.

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