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Purpose: Existing studies that documented the effect of financial distress on trade credit provisions did not include measures financial constraint. It is possible that financial distress is tie to financial constraints, and both financial distress and financial constraints mutually reinforce each other in their effects on trade credit provision. The purpose of this study is to evaluate the effects of financial constraint and financial distress on trade credit provisions in the UK FTSE 350 listed firms. Design/methodology/approach: This study employs panel data in the estimation of the determinants of accounts payables and accounts receivables of the UK FTSE 350 firms from 2009 to 2017. Findings: This study finds that financial distress has significant positive effect on accounts payables and a significant negative effect on accounts receivables. Financial constraints have significant negative effect on accounts payables and a significant positive effect on accounts receivables. Practical implications: Trade creditor desiring to maintain an enduring product-market relationship grant more concessions to customer in financial distress. The amount of trade credit that sellers provide to financially constrained firm is an increasing function of the buyer's creditworthiness. The urgent cash needs of financially distressed firms lead them to sell trade receivables to factoring company leading to reduction in trade receivables. Firm facing external financing constraints increase trade credit to customers in anticipation of cash flow inflow to enhance liquidity. Originality/value: This study shows that financial distress and financial constraints mutually reinforce each other in their effects on trade credit provisions, and firm's financing condition contributes to divergence in trade credit policies. [ABSTRACT FROM AUTHOR]

It is a widespread financial practice in procurement management for a supplier aiming to attract customers to offer trade credits when customers make inquiries about the sold products. In this paper, we examine the joint replenishment problem considering trade credits (JRP-TC) under the power-of-two (PoT) policy. We formulate a mathematical model and conduct an analysis that reveals insights into the properties of the optimal objective function. From there, we propose an effective search algorithm that obtains the global optimal solution for the JRP-TC under the PoT policy. Our complexity analysis shows that the JRP-TC and the conventional joint replenishment problem under the PoT policy are pseudo-polynomial time solvable. [ABSTRACT FROM AUTHOR]

This paper studies the effects of bank credit availability, trade credit and the capital cost on inventory decisions. There are two competing theories on the effect of bank credit lines on investments. While one (Lins et al. 2010) suggests that the primary role played by undrawn credit is to finance new opportunities, the other (Acharya et al. 2014) suggests that undrawn credit serves primarily as a bank monitored liquidity insurance. We attempt to resolve these two conflict views in the context of inventory investments. Using empirical data, we show that the primary role of undrawn credit depends on the individual firm's financial status. When a firm is financially constrained, its inventory decisions are linked to the additional bank credit available to the firm—echoing the insurance nature of bank credits. On the other hand, when a firm is financially healthy, two other inventory financing factors play more significant roles than undrawn credits. For financially healthy firms, inventory investments are significantly negatively related to the financial cost of inventory and positively related to the credit offered by suppliers. Additionally, we study the financial crisis of 2007–2008 as a systematic shock in the credit market to identify the effects of a firm's financial credits. We show that during the financial crisis, the inventory turnover and working capital levels of US retailers were related to the availability of bank credit. However, immediately after the crisis, the evidence demonstrates the positive relationship between firms' inventory level and the trade credit they are offered. [ABSTRACT FROM AUTHOR]

Non-instantaneously deteriorating products retain their quality for a certain period before beginning to deteriorate. Retailers commonly adjust their retail prices when products shift from a non-deteriorating state to a deteriorating state in order to stimulate demand. It is essential to consider this price adjustment for inventory models of non-instantaneously deteriorating products under trade credit, due to the fact that the calculation of earned interest is based on the retail price. This paper considers the problem of ordering non-instantaneously deteriorating products under price adjustment and trade credit. Our objective was to determine the optimal replenishment cycle time while minimizing total costs. The problem is formulated as three piecewise nonlinear functions, which are solved through optimization. Numerical simulation is used to illustrate the solution procedures and discuss how system parameters influence inventory decisions and total cost. We also show that a policy of price adjustment is superior to that of fixed pricing with regard to profit maximization. [ABSTRACT FROM AUTHOR]

In this study, EOQ model is developed for a deteriorating item with quadratic time dependent demand rate under trade credit. Mathematical models are also derived under two different situations i.e. Case I; the credit period is less than the cycle time for settling the account and Case II; the credit period is greater than or equal to the cycle time for settling the account. The numerical examples are also given to validate the proposed model. Sensitivity analysis is given to study the effect of various parameters on ordering policy and optimal total profit. Mathematica 7.1 software is used to find optimal numerical solutions. [ABSTRACT FROM AUTHOR]

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Abstract: During the growth stage of a product life cycle especially for high-tech products, the demand function increases with time. In this paper, we extend the constant demand to a linear non-decreasing demand function of time and incorporate a permissible delay in payment under two levels of trade credit into the model. The supplier offers a permissible delay linked to order quantity, and the retailer also provides a downstream trade credit period to its customers. The objective is to find the optimal replenishment cycle that minimizes the retailer’s annual total relevant cost per unit time. The condition for an optimal solution to the generalized model is presented and some fundamental theoretical results are established. Finally, numerical examples to illustrate the proposed model are provided. Sensitivity analysis is performed and some relevant managerial insights are obtained. [Copyright &y& Elsevier]

Most researchers studied vendor–buyer supply chain inventory policies only from the perspective of an integrated model, which provides us the best cooperative solution. However, in reality, not many vendors and buyers are wholly integrated. Hence, it is necessary to study the optimal policies not only under an integrated environment but also under a non-cooperative environment. In this article, we develop a supply chain vendor–buyer inventory model with trade credit financing linked to order quantity. We then study the optimal policies for both the vendor and the buyer under a non-cooperative environment first, and then under a cooperative integrated situation. Further, we provide some numerical examples to illustrate the theoretical results, compare the differences between these two distinct solutions, and obtain some managerial insights. For example, in a cooperative environment, to reduce the total cost for both parties, the vendor should either provide a simple permissible delay without order quantity restriction or offer a long permissible delay linked order quantity. By contrast, in a non-cooperative environment, the vendor should provide a short permissible delay to reduce its total cost. [ABSTRACT FROM PUBLISHER]

Cardenas-Barron [Cardenas-Barron, L.E. (2010) ‘A Simple Method to Compute Economic order Quantities: Some Observations’, Applied Mathematical Modelling, 34, 1684–1688] indicates that there are several functions in which the arithmetic–geometric mean method (AGM) does not give the minimum. This article presents another situation to reveal that the AGM inequality to locate the optimal solution may be invalid for Teng, Chen, and Goyal [Teng, J.T., Chen, J., and Goyal S.K. (2009), ‘A Comprehensive Note on: An Inventory Model under Two Levels of Trade Credit and Limited Storage Space Derived without Derivatives’, Applied Mathematical Modelling, 33, 4388–4396], Teng and Goyal [Teng, J.T., and Goyal S.K. (2009), ‘Comment on ‘Optimal Inventory Replenishment Policy for the EPQ Model under Trade Credit Derived without Derivatives’, International Journal of Systems Science, 40, 1095–1098] and Hsieh, Chang, Weng, and Dye [Hsieh, T.P., Chang, H.J., Weng, M.W., and Dye, C.Y. (2008), ‘A Simple Approach to an Integrated Single-vendor Single-buyer Inventory System with Shortage’, Production Planning and Control, 19, 601–604]. So, the main purpose of this article is to adopt the calculus approach not only to overcome shortcomings of the arithmetic–geometric mean method of Teng et al. (2009), Teng and Goyal (2009) and Hsieh et al. (2008), but also to develop the complete solution procedures for them. [ABSTRACT FROM AUTHOR]

In practice, a supplier often offers its retailers a permissible delay period M to settle their unpaid accounts. Likewise, a retailer in turn offers another trade credit period N to its customers. The benefits of trade credit are not only to attract new buyers who consider it a type of price reduction, but also to provide a competitive strategy other than introduce permanent price reductions. On the other hand, the policy of granting credit terms adds an additional cost to the seller as well as an additional dimension of default risk. In this paper, we first incorporate the fact that trade credit has a positive impact on demand but negative impacts on costs and default risks to establish an economic order quantity model for the seller in a supply chain with up-stream and down-stream trade credits. Then we derive the necessary and sufficient conditions to obtain the optimal replenishment time and credit period for the seller. Finally, we use some numerical examples to illustrate the theoretical results. [ABSTRACT FROM AUTHOR]