A financing model with rebate contract in a capital-constrained supply chain

Zhan, Jizhou

doi:10.1051/ro/2020020

Cited by 5 publications

(3 citation statements)

References 44 publications

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“…Business risk refers to the occurrence of business risk due to the lack of comprehensive understanding of market information in the actual management process and the lack of countermeasures for problems in internal management, which creates problems in the operation process and thus affects the normal operation of the enterprise [13][14]. Financial risk, on the other hand, refers to the fact that enterprises do not have scientific planning for financial management work, the use of funds is more arbitrary, and operational risks are increasing, which leads to financial risk [15].…”

Section: Capital Operation Riskmentioning

confidence: 99%

The application of big data technology in the predictive analysis of enterprise capital operation risk

Wang,

Wang

2023

3C TIC

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The background of the big data era makes enterprise tax management face many opportunities and challenges, in order to improve the management of enterprise capital operation risks and promote the enterprise to take the road of sustainable development. This paper firstly indexes risk names with the help of web crawler technology, establishes data sources, and then circulates the crawler to obtain the required information. Secondly, a hashing algorithm is applied to compress the massive data into a unique and extremely compact section of hash values by means of constant mapping. Then association rules are used to determine the set of frequent risk items, and the values of the two are continuously changed to derive the final predictive analysis. Finally, a capital operation risk prediction and analysis platform is built by combining the above processes. In this paper, the effectiveness of the proposed platform is verified, and the practical results show that the accuracy of the proposed platform for risk prediction discovery is as high as 97%, and the time spent for risk discovery is controlled within 30 minutes. The relevant data results verify that big data technology improves the accuracy of enterprise capital operation risk prediction and analysis while accelerating the speed of risk discovery.

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Section: Capital Operation Riskmentioning

confidence: 99%

The application of big data technology in the predictive analysis of enterprise capital operation risk

Wang,

Wang

2023

3C TIC

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“…Lu [26] investigates a case that a multinational firm invests in a capital-constrained retailer and gets optimal financing strategy between bank credit financing and trade credit financing. Zhan [45] considers a new bank financing model in which the supplier promises to provide a partial warranty for the bank credit risk if the retailer goes bankrupt.…”

Section: Literature Reviewmentioning

confidence: 99%

The role of voucher sale in advance for a capital-constrained supply chain

Wang

Liu

2021

RAIRO-Oper. Res.

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This paper studies voucher sale as an operational method to raise working capital for a supply chain, which consists of a supplier and a capital-constrained retailer. The retailer takes advantage of an online platform to sell vouchers and to get access to borrowing from a bank. By formulating a Stackelberg game model, we show the retailer's possible order quantities in the cases without and with bank loan and analyze the impact of voucher sale on the retailer's optimal choice of order quantity and the supplier's optimal wholesale price. We find that a smaller voucher's price induces the retailer to be more likely to order with loan from a bank while a larger voucher's value induces an order quantity with the loan more difficult to be repaid. In addition, if voucher's price is large, the supplier decides a wholesale price which leads the retailer not to borrow from a bank; and if voucher's price is small, the supplier's optimal decision is obtained by anticipating the retailer to borrow from a bank. We also analyze the impact of voucher sale in the presence of trade credit financing on the firms' decisions. The results show that the voucher's price should be small so that the retailer can repay the supplier if voucher's value is large; otherwise, the retailer either does not borrow from the supplier or may not repay the supplier. Besides, the supplier decides a wholesale price so that the retailer does not borrow or can repay the supplier, except that the voucher's value is large and the voucher's price is medium.

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“…Additionally, the customer is offered an opportunity to increase the order quantity (Chen et al 2019 ) (Giri and Bardhan 2014 ) (Namdar et al 2018 ) Rebate In this type of coordination contract, the wholesaler is charged with a special rate per unit. By the end of the selling period, the retailer is awarded a rebate for extra units that exceed the threshold value (Zhan et al 2019 ) ( Chiu et al 2020 ) (Zhan 2021 ) Quantity Discount The supplier offers a dynamic price depending on the order quantity. The wholesaler's price decreases as the amount purchased increases (Yoshida et al 2020 ) (Nie and Du 2017 ) (Zhao et al 2020 ) Advanced Purchase Discounts Under this type of contract, the supplier decides period by period to offer a discounted price to a retailer who advances its orders (Pellegrino et al 2020 ) Bonus Bonus contracts have a fixed base amount.…”

Section: Introductionmentioning

confidence: 99%

Analysing supply chain coordination mechanisms dealing with repurposing challenges during Covid-19 pandemic in an emerging economy: a multi-layer decision making approach

et al. 2022

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Following the outbreak of the Covid-19 pandemic, there was a serious need for the pharmaceutical industry to combat the disease more quickly and effectively. In this regard, numerous companies set out to repurpose current drugs. The noticed decision has major challenges in various dimensions, including the creation and management of an efficient supply chain. The present study attempts to examine the significance and relationships of the repurposing challenges and analyze the effectiveness of supply chain coordination contracts confronting them. In this regard, a combination of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) named DANP method is applied to investigate the relationships and extracting the weights of the mentioned challenges and the multi-criteria optimization and compromise solution technique called VIKOR is employed to prioritize the supply chain coordination contracts found on their impact facing with repurposing challenges. The mentioned techniques have been conducted under the condition of linguistic Z-numbers. The results demonstrated that financial support and digitalization are the most influential challenges. Moreover, collaboration and data availability have the most weight. In addition, four contracts including effort sharing, cost-sharing, credit option and buyback are the best contracts that companies in the merging economy of Iran should concentrate on them. This research proposes a novel framework of decision-making by integrating DANP and VIKOR with linguistic Z-numbers. Additionally, this study takes a new look at the use of coordination contracts from the viewpoint of repurposing challenges which is highlighted particularly during the Covid-19 pandemic.

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A financing model with rebate contract in a capital-constrained supply chain

Cited by 5 publications

References 44 publications

The application of big data technology in the predictive analysis of enterprise capital operation risk

The application of big data technology in the predictive analysis of enterprise capital operation risk

The role of voucher sale in advance for a capital-constrained supply chain

Analysing supply chain coordination mechanisms dealing with repurposing challenges during Covid-19 pandemic in an emerging economy: a multi-layer decision making approach

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