Optimum operational schedule and accounts receivable financing in a production supply chain considering hierarchical industrial status and uncertain yield

Zhu, Xiaoyan; Cao, Yunzhi; Wu, Jin-Hui; He, Liu; Bei, Xiaoqiang

doi:10.1016/j.ejor.2022.02.008

Cited by 12 publications

(6 citation statements)

References 38 publications

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“…This segment of papers (e.g., Mishra & Rane, 2019; Qu et al, 2017; Springer & Kim, 2010; Wang & Wu, 2020; Zhu et al, 2022) focuses on the improvement of analytic tools to advance supply chain performance. For example, Mishra and Rane (2019) find that both six sigma and analytics are crucial for improving the manufacturing process in cast iron industries.…”

Section: Thematic Classification Of Research Articlesmentioning

confidence: 99%

A Journey of Business Analytics in Improving Supply Chain Performance: A Systematic Review of Literature

Chatterjee,

Chatterjee

2023

Management and Labour Studies

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The influence of business analytics on supply chain performance has become notable over the last decade. The purpose of this study is to identify and analyze the effect of endogenous variables of business analytics, if any, on supply chain performance. We have conducted a systematic literature review (SLR) in four sequential stages, that is, collecting existing literature from relevant databases, finding endogenous variable(s) in this context, classifying papers based on how the endogenous variable(s) under consideration affect the impact of business analytics on supply chain performance and, finally, segmenting the literature depending on different types of supply chain performance. The study considers research papers published during the period 2008–2023. Based on the analysis of the literature, it is found that ‘market competition’ is an important endogenous variable in this context. This variable can impact the relationship between business analytics and supply chain performance in different ways. It can serve as a moderating variable, mediating variable or main variable. In this study, we have shown how directional relationships among business analytics, market competition and supply chain performance have changed over time. The future scope of the proposed study could be to identify other endogenous variables at the time of verifying the influence of business analytics on supply chain performance.

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Section: Thematic Classification Of Research Articlesmentioning

confidence: 99%

A Journey of Business Analytics in Improving Supply Chain Performance: A Systematic Review of Literature

Chatterjee,

Chatterjee

2023

Management and Labour Studies

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“…Under the framework of the house lease transaction, the house lessor and the house lessor no longer make trust endorsements through real estate intermediaries or other third-party institutions, but combine the house lease transaction with the Ethereum open source blockchain [9], through the use of peer-to-peer transactions The method is that both parties to the house lease directly realize the transaction and settlement of the house lease in a safe, transparent and reliable transaction environment. The whole process of the transaction will be automatically executed based on the smart contract to realize the transfer of funds between the leasing entities, while using anonymous identity authentication and encryption algorithms to protect the privacy and security of both leasing parties [13][14]. It is worth noting that every transaction executed during the house leasing process will be completely recorded in the block chain.…”

Section: Housing Lease Transaction Framework Under Blockchain Technologymentioning

confidence: 99%

A Blockchain-Based Housing Lease Transaction Mechanism

Gao,

Yu,

et al. 2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

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In traditional house leasing transactions, real estate intermediaries are used as information transfer and trust guarantee, which virtually increases the cost and risk of both parties to the transaction. At the same time, the transaction process often requires cumbersome communication, negotiation and signing processes. Therefore, this chapter designs a blockchain-based housing lease transaction mechanism, and in order to improve the time for both parties to reach agreement on a transaction, an optimization model for housing lease transaction matching is proposed to improve the efficiency and transaction rate of lease transactions.

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“…Literature [11] for three supply chain models, through numerical verification of three models of retailer competition, production costs on credit financing strategy, the results show that when the frequency of market disturbance amplitude increases and the cost of production increases, capital-constrained retailers are more likely to obtain trade credit. Literature [12] study SMEs, CE and CB stratified industrial status, market and production, etc., by STACKLBERG game method to determine its capacity and production decisions, by optimizing the expected profit way to determine the number of loans and interest rates, by the sensitivity analysis, deduced from the market value, interest rate cap, etc. affects the receivable decision and loan contracts.…”

Section: Corporate Utilization Of Bank Credit Financing Advantages Un...mentioning

confidence: 99%

Corporate Utilization of Bank Credit Financing Advantages under Supply Chain Finance and Industrial Policy Paths

Zhao

2023

Applied Mathematics and Nonlinear Sciences

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Bank credit financing is an effective method to promote the development of enterprises, and this paper discusses the use of enterprises in the credit financing advantage supported by supply chain financial networks and industrial policy in the new era. In the paper, the strategic choice of enterprises using bank credit financing is analyzed, the Nash equilibrium point of the bank and the enterprise is modeled by calculus, and the game evolution model of enterprise use of credit financing advantage is constructed to explore the equilibrium distribution of bank credit financing. On this basis, the regression model of bank credit financing and enterprise reputation is established, and it is combined with relevant data for empirical analysis. The results show that under the initial conditions, there are two evolutionary stable strategies of (0,0,0) and (1,1,1) in the enterprise bank credit financing game system, which verifies the analysis for the stability of equilibrium point under the dual mechanism of supply chain finance and industrial policy. The regression coefficient of bank credit financing of enterprises with greater corporate reputation is 1.26, and when the explanatory variable is the indicator of short-term lending and long-term investment, the coefficient of long-term borrowing ratio is -0.003, with a significance level of 1%, and the increase of long-term borrowing ratio can significantly reduce the behavior of short-term lending and long-term investment of enterprises.

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Optimum operational schedule and accounts receivable financing in a production supply chain considering hierarchical industrial status and uncertain yield

Cited by 12 publications

References 38 publications

A Journey of Business Analytics in Improving Supply Chain Performance: A Systematic Review of Literature

A Journey of Business Analytics in Improving Supply Chain Performance: A Systematic Review of Literature

A Blockchain-Based Housing Lease Transaction Mechanism

Corporate Utilization of Bank Credit Financing Advantages under Supply Chain Finance and Industrial Policy Paths

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