Pricing strategies of a dual-channel supply chain with risk aversion

Liu, Mengqi; Cao, Erbao; Siendou, Coulibaly

doi:10.1016/j.tre.2015.11.007

Cited by 130 publications

(66 citation statements)

References 22 publications

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“…Xue et al [36] considered the diversification strategy for a risk-sensitive manufacturer with unreliable suppliers under the mean-variance framework, and investigated the impact of the supplier's cost or reliability on the risk-averse manufacturer's ordering decisions and customer service level. Liu et al [24] investigated the effect of risk aversion on the optimal policies of a dual-channel supply chain under symmetric information and asymmetric information cases. They found that if the manufacturer overestimated the retailers risk aversion value, the retailers' expected profit would be lower if she shared her risk aversion information with the manufacturer.…”

Section: Related Literaturementioning

confidence: 99%

Decision policies on players’ different risk combination under supplier encroachment

Chen

Huang

2020

RAIRO-Oper. Res.

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Literature concerning about the supply chain management problem is usually based on perfect rationality. However, risk preferences have been proved to be an important role which influences managers' decisions significantly. This paper investigates a risk combination problem under supplier encroachment with different risk preferences players. Assuming that the supply chain players may be risk-averse, risk-neutral and risk-taking, we build a Stackelberg game model to explore the optimal decisions and the impact of different risk combinations, respectively. We focus on two scenarios: the consumers perceive uniform quality between the two channels and perceive differentiated quality between the two channels. We find that the retailer always prefers a risk-averse supplier, while the supplier always prefers a risk-taking retailer. But the combination of a risk-averse supplier and a risk-taking retailer is not always beneficial to the whole supply chain. Further, we conduct numerical experiments to explore the risk combinations and the impacts of players' selfish, aggressive and altruistic behaviors on optimal decisions. Mathematics Subject Classification. 90B50, 91A30.

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Section: Related Literaturementioning

confidence: 99%

Decision policies on players’ different risk combination under supplier encroachment

Chen

Huang

2020

RAIRO-Oper. Res.

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“…Another stream has studied the challenging logistics and processes of fulfilling online orders once they have been placed (De Koster, 2003;Tetteh and Xu, 2014). Research has also been centered on price and service interaction between channels Ryan et al, 2013;Panda et al, 2015;Rodríguez and Aydin, 2015;Liu et al, 2016;Xiao and Shi, 2016;Yan et al, 2016;Giri et al, 2017;Matsui, 2017), and online order fulfillment processes (Agatz et al, 2008;Mahar et al, 2009). Inventory management in dual-channel supply chains has also been explored (Khouja, 2003;Yao et al, 2009;Zhang and Tian, 2014;Zhao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Dual-channel warehouse and inventory management with stochastic demand

Alawneh

Zhang

2018

Transportation Research Part E: Logistics and Transportation Re

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This study examines the inventory policy for the emerging dual-channel warehouse, which has a unique structure where the warehouse is divided into two areas: one for fulfilling online orders and the other for storing products and fulfilling offline orders. A multi-item inventory model was developed considering the warehouse capacity constraint, demand, and lead time uncertainty.Solution methods are provided for both uniform and normal distributions. Adopting the proposed inventory policy for a dual warehouse is cost effective and adds flexibility to the warehouse and supply chain. The study also offers managerial insights on some critical issues faced by companies operating in a dual-channel context.

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“…Xu et al [25] established the mean-variance model for risk-averse dual-channel supply chain and assumed that the pricing of a risk-averse channel is lower than a risk-neutral one. Liu et al [26] studied the effect of risk aversion on the optimal policies of a dual-channel supply chain under complete and asymmetric information cases. However, these studies did not consider dual-channel supply chain in demand disruption.…”

Section: Introductionmentioning

confidence: 99%

Decision on risk-averse dual-channel supply chain under demand disruption

Yan

Jin

Liu

et al. 2018

Communications in Nonlinear Science and Numerical Simulation

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Abstract:We studied dual-channel supply chains using centralized and decentralized decision-making models. We also conducted a comparative analysis of the decisions before and after demand disruption. The study shows that the amount of change in decision-making is a linear function of the amount of demand disruption, and it is independent of the risk-averse coefficient. The optimal sales volume decision of the disturbing supply chain is related to market share and demand disruption in the decentralized decision-making model.The optimal decision is only influenced by demand disruption in the centralized decision-making model. The stability of the sales volume of the two models is related to market share and demand disruption. The optimal system production of the two models shows robustness, but their stable internals are different.

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Pricing strategies of a dual-channel supply chain with risk aversion

Cited by 130 publications

References 22 publications

Decision policies on players’ different risk combination under supplier encroachment

Decision policies on players’ different risk combination under supplier encroachment

Dual-channel warehouse and inventory management with stochastic demand

Decision on risk-averse dual-channel supply chain under demand disruption

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