Learning EOQ Model with Trade-Credit Financing Policy for Imperfect Quality Items under Cloudy Fuzzy Environment

An imprecise demand rate creates problems in profit optimization in business scenarios. The aim is to nullify the imprecise nature of the demand rate with the help of the cloudy fuzzy method. Traditionally, all items in an ordered lot are presumed to be of good quality. However, the delivered lot may contain some defective items, which may occur during production or maintenance. Inspection of an ordered lot is indispensable in most organizations and can be treated as a type of learning. The learning demonstration, a statistical development expressing declining cost, is necessary to achieve any cyclical process. Further, defective items are sold immediately after the screening process as a single lot at a discounted price, and the fraction of defective items follows an S-shaped learning curve. The trade-credit policy is adequate for suppliers and retailers to maximize their profit during business. In this paper, an inventory model is developed with learning and trade-credit policy under the cloudy fuzzy environment where the demand rate is treated as a cloudy fuzzy number. Finally, the retailer’s total profit is maximized with respect to order quantity. Sensitivity analysis is presented to estimate the robustness of the model.

The Impact of Green Credit on the Green Innovation Level of Heavy-Polluting Enterprises—Evidence from China

This article uses the “Green Credit Guidelines” promulgated in 2012 as an example to construct a quasi-natural experiment and uses the double difference method to test the impact of the implementation of the “Green Credit Guidelines” on the green innovation activities of heavy-polluting enterprises. The study found that, in comparison to non-heavy polluting enterprises, the implementation of green credit policies inhibited the green innovation of all heavy-polluting enterprises. In the analysis of heterogeneity, this restraint effect did not differ significantly due to the nature of property rights and the company’s size. The mechanism test showed that green credit policy limits the efficiency of business investment and increases the cost of financing business debt. Eliminating corporate credit financing, particularly long-term borrowing, negatively impacts the green innovation behavior of listed companies.

Determinants of trade credit financing: a dynamic analysis comparing agri-food cooperatives and non-cooperatives

PurposeThe particular characteristics of agri-food cooperatives reduce their ability to access external financial resources. The purpose of this paper is to explore the factors influencing the agri-food cooperatives' trade credit operations by measuring their accounts receivable and comparing the results with agri-food investor-owned firms (IOFs).Design/methodology/approachThe authors apply a partial adjustment model (PAM) estimated using a dynamic panel model with a two-step general method of moments (GMM) estimator to a sample of 11,930 Spanish agri-food cooperatives and IOFs for the period 2011–2018.FindingsThe study concludes that cooperatives and IOFs have an accounts receivable target, which they attempt to achieve rapidly. Cooperatives tend to behave as IOFs do, but they present lower adjustment coefficients. This difference seems to be explained by the unique characteristics of cooperatives which set different economic and social goals, not just profit maximization as IOFs. The findings show differences between the financial and commercial purposes of the cooperatives and IOFs as a result of their internal management policies. Larger cooperatives with access to external financial sources, positive cash flows and operational necessities will grant trade credit.Originality/valueThis study gives interesting implications for cooperative managers and policymakers to help them to understand the strategies behind trade credit policies. Previous empirical studies on the agri-food sector are scarce and focus on IOFs without considering the role of trade credit in European cooperatives.

Pengaruh Pemahaman Nasabah Pada Jenis Produk Terhadap Kelancaran Pembayaran Angsuran Di BMT Niaga Utama Purwakarta

The banking industry is currently experiencing rapid development where the main activity of financial institutions is to collect funds and channel them back to the public in the form of credit/financing. Problems that arise from the financing process are bad funds from customers as an unavoidable risk with several indicators of causes such as customer income, disasters experienced by customers, awareness and refunds from understanding the financing contract contract. This study aims to analyze the effect of customer understanding on mudharabah products, murabahah products, and murabahah products and to examine the effect of average customer understanding on payment growth at BMT Niaga Utama Purwakarta. This research was conducted by quantitative descriptive method using a sample of 34 customers from a population of 67 customers. Determination of the research sample is through a random sampling system with a Likert scale. The results of this study indicate that the customer's understanding of the mudharabah product is stated to be significant for payment payments with a value of rcount (0.84) > rtable (0.648), while the customer's understanding of the musyarakah product is stated to have no significant effect on payment performance with a value of rcount (0.697) < rtable (0.738). As for the influence of customer understanding of the value of murabahah products, the sig. (2-tailed) number is 0.000 which is smaller than the level of significant (α) 5% and is declared significant. While the effect of the known average value of Ucount = 22 > Utable 17 shows that there is no difference between understanding the product of mudharabah, musyarakah and murabahah on installment payments.

Two – Warehouse Inventory System Model for Deteriorating Items Considering Partial Upstream Trade Credit Financing

In this study, we developed an inventory system model under two – level trade credit where the supplier considers the retailer as credit risk but the retailer considers the customers as credit worthy. Therefore, the retailer is given a trade credit period on proportion of the goods ordered whenever he/she pays for proportion of the goods immediately after delivery. In the same vein, the retailer passes the same grace to the customers but without attaching any condition as the customers are assumed credit worthy. This partial upstream trade credit is offered to reduce the risk of failure in payment on the business transaction especially that most retailers are involved in bulk orders. The relevant cost functions are determined and a numerical example is given. Sensitivity analysis was carried out to see the effect of changes in parameters on the optimal solution of the model.

Challenges to Accessing Credit Financing from Financial Institutions by the Urban Based Street Vendors: Experience from Dar Es Salaam – Tanzania

This study assessed challenges to accessing credit financing from Financial Institutions by the urban based street vendors in Dar es Salaam - Tanzania and recommends strategies for ensuring effective access to this crucial service. The study utilised mixed methods approach design and data were collected through interview, questionnaire, Focus Group Discussion (FGD), review of secondary data, and observation techniques based on the purposive and random sample size of 104 respondents. The quantitative data were analysed descriptively by using Statistical Packages of Social Science (SPSS) while the Qualitative data were analysed content-wise by using MAXQDA software. Findings show that generally vendors were incapable of sufficiently accessing financial support from the financial institutions due to a number of reasons. These reasons include the vendors&rsquo; inability to comply with the established procedures for accessing financial support, lack of financial information relating to when, how and where to acquire the financial service, vendors&rsquo; inability to afford collaterals against the credit financing as well as too high loans interest rates. Another one is lack of relevant documents by the vendors required for accessing credit financing. In order to resolve the challenges, the researchers recommended equipping vendors with relevant credit financing information, prioritising provision of group loans to vendors as well as organizing the street vendors into groups. Other strategies to consider would be reduction of loan interest rates by the institutions, eliminating bureaucracy in accessing credit as well as engaging in business policy advocacy in favour of the vendors to access financial support.

Impact of Interest Rate Risk on Supply Chain Network under Bank Credit and Trade Credit Financing

The purpose of this study is to propose a methodology that reflects the impact of interest rate risk on firms in supply chain network under bank financing and trade credit and further describe how trade credit improves the impact of interest rate risk on supply chain network through a financial flow equilibrium. A mean-variance framework and a network equilibrium analysis are integrated to provide a modeling framework. The model allows for the investigation of how bank credit financing (BCF) and trade credit financing (TCF) affect the payment strategy and financial flow of interconnected firms in supply chain networks and how they are affected by interest rate risks. The optimal behavior of manufacturers and retailers is described through variational inequality. We construct a supply chain network equilibrium model and derive qualitative properties of the solution and the function that becomes assimilated to the variational inequality problem. Additionally, variational inequality is solved using the modified projection method. This study extends the research on the impact of interest rate risk on the decision in supply chain network of firms. While other studies focus on the game between banks and firms, only a few authors have made attempts to examine the game between one manufacturer and one retailer in supply chain. An effective trade credit strategy is obtained by balancing cash and credit transactions. Through the case study, we learn how to balance the capital flow effectively to improve the negative impact of interest rate risk on supply chain.

Green Credit Financing Equilibrium under Government Subsidy and Supply Uncertainty

In this paper, we study the green credit financing equilibrium in a green supply chain (GSC) with government subsidy and supply uncertainty. The GSC system is composed of one manufacturer, two retailers, one bank, and the government. The manufacturer is subject to both supply uncertainty and limited capital. The manufacturer invests in the R&D of green products and borrows loans from the bank. The government subsidizes banks to encourage banks to provide loans to manufacturers with lower interest rates, which is termed “green credit financing”. The two retailers decide their order quantities with horizontal competition or horizontal cooperation. We first developed a Stackelberg model to investigate the green credit financing equilibriums (i.e., the interest rate of the bank, the manufacturer’s product green degree and wholesale price, and the retailers’ order quantity) under horizontal competition and horizontal cooperation, respectively. Subsequently, we analyzed how the subsidy interest rate, supply uncertainty, and supply correlation affect financing decisions regarding equilibrium green credit. We found that a high subsidy interest rate leads to a low interest rate of bank and the manufacturer can set a high level of green product and high wholesale price, while the retailers can set a high order quantity. Finally, we compared the green credit financing equilibriums under horizontal competition with those under horizontal cooperation using numerical and analytical methods. We found that, in general, the optimal decisions and profits of bank and SC members, consumer surplus, and social welfare under horizontal competition are higher than those under horizontal cooperation. The findings in this research could provide valuable insights for the management of capital-constrained GSCs with government subsidies and supply uncertainty in a competing market.