Trade credit and replenishment decisions considering default risk. (March 2018)

• Record Type: Journal Article
• Authors: Tsao, Yu-Chung
• Is Part Of: Computers & industrial engineering. Volume 117(2018)
• Page Start: 41
• Page End: 46
• Publication Date: 2018-03
• Subjects: Trade credit -- Inventory -- Default risk -- Replenishment; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2018.01.016
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: Determine the optimal credit period and replenishment decisions. Credit period affects both demand rate and default risk. Use the compounded interest to calculate the present value of expected profit. Treat the rate of default risk as uncertainty. Two risk-averse approaches, rate constraint and revenue constraint, are proposed. Abstract: This paper determines the optimal credit period and replenishment decisions when credit period affects demand rate and default risk. This study uses the compounded interest formula to calculate the present value of expected profit and treats the rate of default risk as uncertainty. The problem is solved from both risk-neutral and risk-averse perspectives. Two risk-averse approaches, rate constraint and revenue constraint, are proposed, which limit the solution space to the set of credit periods which guarantee an upper bound of the expected rate of default risk and guarantee an expected revenue level when facing default risk. Numerical analyses are carried out to illustrate some management insights. We show that setting lower rate constraint or revenue constraint results in shorter credit period, longer replenishment cycle time and lower default risk. These approaches are useful for the case of a low-probability high-consequence contingency event.