scholarly journals Trade Credit with Barter in a Capital-Constrained Supply Chain

2021 ◽  
Vol 13 (20) ◽  
pp. 11361
Author(s):  
Yangyang Huang ◽  
Zhenyang Pi ◽  
Weiguo Fang
Keyword(s):  
Supply Chain ◽  
Trade Credit ◽  
Wholesale Price ◽  
Uncertain Demand ◽  
Equilibrium Strategy ◽  
Optimal Order ◽  
Order Quantity ◽  
Supply Rate ◽  
Optimal Order Quantity ◽  
And Performance

Barter has emerged to alleviate capital pressure, maximize the circulation of goods, and facilitate the disposal of excess inventory. This study considers a two-level supply chain consisting of a manufacturer and a capital-constrained retailer with trade credit, in which the retailer exchanges unsold products for needed subsidiary products on a barter platform. The retailer’s optimal order quantity and the manufacturer’s wholesale price are derived, and the influences of barter and other factors on the equilibrium strategy and performance of the supply chain are examined; these results are verified and supplemented by numerical simulation. We find that the retailer can increase profit by bartering when facing highly uncertain demand, that the retailer’s optimal order quantity increases with the supply rate and demand for subsidiary products, and that both manufacturer and retailer benefit from the high supply rate of subsidiary products. However, barter induces the manufacturer to raise the wholesale price to prevent its profit from being harmed. In addition, the manufacturer suffers from the retailer’s initial capital.

scholarly journals Optimal Financing Order Decisions of a Supply Chain under the Retailer's Delayed Payment

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Honglin Yang ◽  
Ya Yu ◽  
Yong Zha ◽  
Jijun Yuan
Keyword(s):  
Numerical Simulation ◽  
Supply Chain ◽  
Trade Credit ◽  
Equilibrium Analysis ◽  
Optimal Order ◽  
Order Quantity ◽  
Optimal Decisions ◽  
Game Equilibrium ◽  
Optimal Order Quantity ◽  
To Receive

In real supply chain, a capital-constrained retailer has two typical payment choices: the up-front payment to receive a high discount price or the delayed payment to reduce capital pressure. We compare with the efficiency of optimal decisions of different participants, that is, supplier, retailer, and bank, under both types of payments based on a game equilibrium analysis. It shows that under the equilibrium, the delayed payment leads to a greater optimal order quantity from the retailer compared to the up-front payment and, thus, improves the whole benefit of the supply chain. The numerical simulation for the random demand following a uniform distribution further verifies our findings. This study provides novel evidence that a dominant supplier who actively offers trade credit helps enhance the whole efficiency of a supply chain.

scholarly journals Optimal Decision of Deferred Payment Supply Chain considering Bilateral Risk-Aversion Degree

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Liu Liang ◽  
Li Futou
Keyword(s):  
Supply Chain ◽  
Risk Aversion ◽  
Wholesale Price ◽  
Conditional Value At Risk ◽  
Optimal Order ◽  
Risk Averse ◽  
Order Quantity ◽  
Initial Capital ◽  
Optimal Order Quantity ◽  
Degree Of Risk

This paper aims to fill up the gap that the previous research has never explored, the deferred payment supply chain with a risk-averse supplier. To this end, the conditional value-at-risk (CVaR) was adopted as a criterion to measure the influence of retailer’s deferred payment on supply chain performance. According to this criterion, the retailer’s optimal order quantity and the supplier’s optimal wholesale price per unit product were investigated under decentralized decision-making. Then, the existence of a unique optimal strategy was discussed for risk-averse supplier and retailer, and the values of risk-averse, initial capital, and wholesale price were calculated in detail. Finally, the theoretical results were testified through a numerical example. It is concluded that retailer’s optimal order quantity is negatively correlated with the wholesale price, initial capital, and degree of risk aversion, so that the retailer can benefit through proper risk aversion; the supplier’s expected profit decreases with the increase in the degree of risk aversion, yet the optimal wholesale price is determined by the degree of risk aversion of supplier and retailer. The research findings shed valuable new light on how to manage a supply chain involving risk-averse supplier and retailer.

scholarly journals Coping with Loss Aversion and Risk Management in the Supply Chain Coordination

2021 ◽  
Vol 13 (8) ◽  
pp. 4364
Author(s):  
Wei Liu ◽  
Han Zhao ◽  
Shiji Song ◽  
Wenxuan He ◽  
Xiaochen Li
Keyword(s):  
Supply Chain ◽  
Loss Aversion ◽  
Confidence Level ◽  
Wholesale Price ◽  
Revenue Sharing ◽  
Conditional Value At Risk ◽  
Optimal Order ◽  
Order Quantity ◽  
Buyback Contract ◽  
Optimal Order Quantity

In this paper, we apply a combined revenue sharing and buyback contract to investigate the channel coordination of a two-echelon supply chain with a loss-averse retailer. Since loss-averse decision makers usually take on more risks, the Conditional Value-at-Risk (CVaR) measure is introduced to hedge against it and the retailer’s objective is to maximize the CVaR of utility. We obtain the retailer’s optimal order quantity under the combined contract. It is shown that there is a unique wholesale price coordinating the supply chain if the retailer’s confidence level is less than a threshold that is independent of contract parameters. Moreover, a complete sensitivity analysis of parameters is carried out. In particular, the retailer’s optimal order quantity and coordinating wholesale price decreases as the loss aversion or confidence level increases, while it increase as the buyback price or sharing coefficient increases. Furthermore, there exists the situation where the combined contract can coordinate the chain even though neither the revenue sharing nor buyback contract can when the contract parameters are constrained.

scholarly journals Coordination of Supply Chain with One Supplier and Two Competing Risk-Averse Retailers under an Option Contract

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Rui Wang ◽  
Shiji Song ◽  
Cheng Wu
Keyword(s):  
Supply Chain ◽  
Conditional Value At Risk ◽  
Optimal Order ◽  
Pareto Optimum ◽  
Risk Averse ◽  
Order Quantity ◽  
Supply Chain System ◽  
Chain System ◽  
Option Contract ◽  
Optimal Order Quantity

This paper studies an option contract for coordinating a supply chain comprising one risk-neutral supplier and two risk-averse retailers engaged in promotion competition in the selling season. For a given option contract, in decentralized case, each risk-averse retailer decides the optimal order quantity and the promotion policy by maximizing the conditional value-at-risk of profit. Based on the retailers’ decision, the supplier derives the optimal production policy by maximizing expected profit. In centralized case, the optimal decision of the supply chain system is obtained. Based on the decentralized and centralized decision, we find the coordination conditions of the supply chain system, which can optimize the supply chain system profit and make the profits of the supply chain members achieve Pareto optimum. As for the subchain, we also find the coordination conditions, which generalize the results of the supply chain with one supplier and one retailer. Our analysis and numerical experiments show that there exists a unique Nash equilibrium between two retailers, and the optimal order quantity of each retailer increases (decreases) with its own (competitor’s) promotion level.

An Optimal Inventory Policy for Items Having Constant Demand and Constant Deterioration Rate with Trade Credit

2012 ◽  
Vol 5 (2) ◽  
pp. 89-95 ◽  
Author(s):  
R. P. Tripathi ◽  
S. S. Misra
Keyword(s):  
Trade Credit ◽  
Optimal Order ◽  
Order Quantity ◽  
Inventory Models ◽  
Inventory Policy ◽  
Deterioration Rate ◽  
Optimal Order Quantity ◽  
Optimal Ordering ◽  
Constant Deterioration ◽  
Ordering Quantity

In most of the classical inventory models the demand is considered as constant. In this paper the model has been framed to study the items whose demand and deterioration both are constant. The authors developed a model to determine an optimal order quantity by using calculus technique of maxima and minima. Thus, it helps a retailer to decide its optimal ordering quantity under the constraints of constant deterioration rate and constant pattern of demand.

Retailer's Optimal Ordering Policy under Conditions of Allowable Shortage and Two-Level Trade Credit Derived without Derivatives

2013 ◽  
Vol 694-697 ◽  
pp. 3428-3433
Author(s):  
Fei Hu
Keyword(s):  
Differential Calculus ◽  
Trade Credit ◽  
Algebraic Method ◽  
Optimal Order ◽  
Order Quantity ◽  
Numerical Examples ◽  
Ordering Policy ◽  
Optimal Order Quantity ◽  
Optimal Ordering Policy ◽  
Optimal Ordering

An inventory model was developed to determine an ordering policy for the retailer under conditions of allowable shortage and two levels of delay permitted. We present a simple algebraic method to replace the use of differential calculus for determining the retailer's optimal ordering policy. A theorem is presented to obtain the optimal order quantity, and numerical examples are given to illustrate the results obtained in this paper.

RETAILER'S INVENTORY POLICY AND SUPPLIER'S DELIVERY POLICY UNDER TWO-LEVEL TRADE CREDIT STRATEGY

2007 ◽  
Vol 24 (05) ◽  
pp. 613-630 ◽  
Author(s):  
CHIA-HSIEN SU ◽  
LIANG-YUH OUYANG ◽  
CHIA-HUEI HO ◽  
CHUN-TAO CHANG
Keyword(s):  
System Performance ◽  
Trade Credit ◽  
Optimal Order ◽  
Profit Function ◽  
Entire System ◽  
Order Quantity ◽  
Supply Chain System ◽  
Credit Period ◽  
Production Run ◽  
Optimal Order Quantity

This paper presents a stylized model to determine the optimal strategy for the integrated supplier-retailer inventory model under the condition that both the supplier and retailer have adopted a trade credit strategy. By analyzing the total channel profit function, we develop an algorithm to simultaneously determine the retailer's optimal order quantity and the number of shipment per production run from the supplier to the retailer. Our results demonstrate that the trade credit strategy is effective to supply chain system performance when customers are sensitive to the credit period length offered by the retailer. Moreover, when customers are sensitive to the credit period, if the retailer conveys partial advantage gained from the trade credit offered by the supplier to customers by suitably adjusting the customer's credit period then the entire system and every channel partner can benefit.

An optimal order quantity with shelf-refill trips from backroom for efficient store operations

2016 ◽  
Vol 11 (4) ◽  
pp. 967-984
Author(s):  
Anukal Chiralaksanakul ◽  
Vatcharapol Sukhotu
Keyword(s):  
Supply Chain ◽  
Optimal Order ◽  
Type Model ◽  
Order Quantity ◽  
Shelf Space ◽  
Content Type ◽  
Cost Impact ◽  
Optimal Order Quantity ◽  
The Cost ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of backroom storage in supply chain replenishment decision parameters: the order quantity based on the well-established economic order quantity (EOQ) model. Design/methodology/approach The authors develop an EOQ-type model to investigate the operational cost impact of the order quantity with backroom storage. Because of the discrete and discontinuous nature of the problem, a modification of an existing algorithm is applied to obtain an optimal order quantity. Numerical experiments derived from a leading retailer in Thailand are used to study the cost impact of the backroom. Findings The paper shows that the backroom storage will significantly affect the decision regarding the order quantity. If its effect is ignored, the cost increase can be as high as 30 per cent. The costs and operations of additional shelf-refill trips from the backroom must be carefully analyzed and included in the decisions of replenishment operations. Research limitations/implications The model is a simplified version of the actual replenishment process. Validation from a real-world setting should be used to confirm the results. There are many additional opportunities to further integrate other issues in this problem such as shelf space decisions or joint order quantity between vendors and retailers. Practical implications The insights gained from the model will help managers, both retailers and vendors or manufacturers, make better decisions with regard to the order quantity policy in the supply chain. Originality/value Problems with backroom storage have been qualitatively described in the literature in the past decade. This paper is an early attempt to develop a quantitative model to analytically study the cost impact of backroom on order quantity decisions.

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