A two-echelon inventory model with product returns considering demands dependent return rates

Parvini, Mahsa; Atashi, Ali; Husseini, S.M. Moattar; Esfahanipour, Akbar

doi:10.1007/s00170-014-5645-6

Cited by 8 publications

(2 citation statements)

References 35 publications

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“…Research by Batarfi, et al [27] in a reverse logistics dual-channel supply chain model showed that return policy benefits the system. Moreover, a study from Blanco-Montenegro, et al [28] found that the SC expenses can be reduced by lowering the remanufacturing costs. In A dual-channel SC model, Li, et al [29] found that the product returns via direct and indirect channels are effective only when the return rate is low.…”

Section: Article Info Abstractmentioning

confidence: 99%

A Three-Echelon Dual-Channel Supply Chain Model with Learning Effect Under the Return Policy

Saha¹

2021

JTI

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In today's competitive and technologically developed era, many retailers have adopted an e-channel to increase sales, in addition to the existing traditional retail channel. Although many researchers studied this issue, there is hardly any research that comprehensively considers the learning-effect and return-policy. Therefore, this research aimed to develop an imperfect production dual-channel supply chain model consisting of a supplier, a manufacturer, and a retailer. The manufacturer also has a refurbishment unit adjacent to its production hub, where it reworks all the defectives. The main objective is to maximize the supply chain profit by considering factors, such as inspection error, return policy, and learning-effect of the employees. Finally, this model is analyzed with the Leader-follower relationship strategy and an integrated approach. The research found that the integrated approach is profitable for the entire supply chain, while commodity prices can be minimized. Sensitivity analysis is also presented in this study.

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Section: Article Info Abstractmentioning

confidence: 99%

A Three-Echelon Dual-Channel Supply Chain Model with Learning Effect Under the Return Policy

Saha¹

2021

JTI

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“…Taking this into account, some research has examined the demand and returns dependence in inventory systems. Parvini et al 34 developed a two-echelon model for a single reusable product, in which return rates were explicitly dependent on the demand streams.…”

Section: Literature Reviewmentioning

confidence: 99%

Rough approximation‐based inventory optimization with random prices for B2C companies during the promotion period

Liu

Chen

2021

Int J of Intelligent Sys

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Most B2C e-commerce giants such as Amazon, Bestbuy, Alibaba, periodically or occasionally conduct promotional activities that put significant stress on their inventory systems. The sharp demand and price fluctuations caused by these promotional activities distress stocks over an inventory period if customer satisfaction is maintained. This article develops a chance-constrained multiobjective programming model to obtain optimal order quantities in an e-commerce inventory system with stochastic demand and prices. Traditional techniques for coping with the stochastic coefficients using an expected value operator or probability measures are usually inefficient in estimating quantities. With rational assumptions regarding market behavior, stochastic demand and price are characterized with a normal distribution based on historical data. A novel method called rough approximation is designed to flexibly formulate the feasible region, from which a crisp model is obtained that has no uncertain information. A proxy ideal point-based genetic algorithm (PIP-GA) is then developed to solve the model, allowing decision makers to fix the optimal order quantities for different promotional activity scales. Finally, the results are illustrated using a practical example from the Chinese B2C e-commerce giant "JD.COM." Some special features are discussed to

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Closed-loop supply chain inventory management with recovery information of reusable containers

Yang

Liu

et al. 2016

J Comb Optim

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A two-echelon inventory model with product returns considering demands dependent return rates

Cited by 8 publications

References 35 publications

A Three-Echelon Dual-Channel Supply Chain Model with Learning Effect Under the Return Policy

A Three-Echelon Dual-Channel Supply Chain Model with Learning Effect Under the Return Policy

Rough approximation‐based inventory optimization with random prices for B2C companies during the promotion period

Closed-loop supply chain inventory management with recovery information of reusable containers

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