Modelling dynamic freshness-keeping effort over a finite time horizon in a two-echelon online fresh product supply chain

Liu, Chao; Chen, Weidong; Zhou, Qian; Mu, Jing

doi:10.1016/j.ejor.2020.12.035

Cited by 55 publications

(36 citation statements)

References 26 publications

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“…(3) The greenness level of the agricultural product follows a continuous function, which keep consistent with the existing literature, such as [5,22].…”

Section: Assumptionssupporting

confidence: 76%

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Optimal decision-making of green agricultural product supply chain with fairness concerns

et al. 2023

JIMO

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<p style='text-indent:20px;'>This study investigates the impacts of fairness concerns on a two-tier green agricultural product supply chain (GAPSC) with an agricultural cooperative making green input and a retailer making fresh-keeping input. Game models are constructed and compared in four scenarios: centralized decision-making, decentralized decision-making without fairness concerns, and decentralized decision-making with the retailer considering or not considering the agricultural cooperative's fairness concerns. The results showed that fairness concerns will negatively impact the GAPSC. Agricultural cooperatives can make fairness concerns as appropriate. It is more beneficial for retailers to consider fairness concerns of agricultural cooperatives. The GAPSC operates most efficiently under centralized decision-making.</p>

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“…(3) The greenness level of the agricultural product follows a continuous function, which keep consistent with the existing literature, such as [5,22].…”

Section: Assumptionssupporting

confidence: 76%

“…Numerical simulations. Refer to existing research [22,32], we assume that the relevant parameters in the GAPSC are: d = 20, c = 15, h = 5, β = 2, γ = 1. Therefore, the range of green investment coefficient of green agricultural products is subject to k > 20/9.…”

Section: Corollary 58 (1) Whenmentioning

confidence: 99%

Optimal decision-making of green agricultural product supply chain with fairness concerns

et al. 2023

JIMO

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“…However, quality loss and quantity loss capture the main features of fresh products in transportation and delivery [22]. To achieve supply chain coordination, many scholars have used different contracts to optimize the fresh-keeping and pricing decisions of supply chain members [23][24][25][26][27][28]. e above documents considered the cost of double loss in the decision-making but did not further study the specific impact of double loss on the optimal decisions.…”

Section: Deteriorating Item Supply Chain Managementmentioning

confidence: 99%

Optimal Decision and Coordination of Fresh E‐Commerce Supply Chain Considering Double Loss

Bai

Liu

2022

Discrete Dynamics in Nature and Society

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Motivated by a large amount of quality loss and quantity loss of fresh products during transportation, this paper examines the effect of the double loss on decisions and profits by establishing models for a fresh e-commerce supply chain consisting of one online retailer and one third-party logistics provider. The online retailer sells fresh products and provides compensation for quantity loss. TPL’s fresh-keeping effort during transportation can effectively reduce the double loss. We find that: (i) under the centralized model, the basic quantity loss rate and freshness sensitivity can improve fresh-keeping effort. The online retailer prefers price-raising strategies as the basic quantity loss rate increases and freshness sensitivity decreases. But, if fresh-keeping cost is within a certain range and the basic quantity loss rate is high enough, the online retailer prefers price reduction strategies. If fresh-keeping cost is high, as freshness sensitivity increases, the retailer first reduces prices and then raises prices. (ii) Under the decentralized model, as the basic quantity loss rate and freshness sensitivity increase, product price will increase. (iii) Centralized decision-making mode is more profitable to the supply chain. Furthermore, we design a “two-way cost sharing-revenue sharing” contract to coordinate the supply chain and achieve Pareto improvement.

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“…Fresh food is perishable, and a lot will be lost in the operation of the food supply chain [9]. Statistical analysis shows that the loss rate of fresh food in China has reached 25-35% [10].…”

Section: Introductionmentioning

confidence: 99%

Fresh Food Dual-Channel Supply Chain Considering Consumers’ Low-Carbon and Freshness Preferences

et al. 2021

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Due to growing concerns for environmental problems and food quality, consumers pay more attention to the carbon emission and freshness of fresh food. The booming e-commerce also accelerates the development of the dual-channel supply chain. In the dual-channel supply chain of fresh food, the carbon emission and freshness of fresh food are becoming important factors affecting consumers’ purchase demand. This paper focuses on the optimal decision of carbon emission reduction and pricing, which is investigated by a Stackelberg game-theoretic approach in three dual-channel supply chain sales models (retailer dual channel, producer dual channel, and mixed dual channel). A two-stage fresh food supply chain system composed of a producer and a retailer is explored. The sensitivity analysis and the comparison of three dual-channel models are carried out. The results show the following: (1) the sales price, carbon emission reduction, market demand, producer’s profit, retailer’s profit, and supply chain’s profit of fresh food under the three dual-channel supply chains show the same change on different levels of consumers’ low-carbon preference coefficient and freshness level, respectively; (2) the optimal decision of carbon emission reduction and pricing, demand, and profit of the three dual-channel models need to be determined according to the value of consumers’ purchasing preferences for the retailer’s offline channel. The paper gives some enlightenment to the decision-making members in the fresh dual-channel supply chain.

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Modelling dynamic freshness-keeping effort over a finite time horizon in a two-echelon online fresh product supply chain

Cited by 55 publications

References 26 publications

Optimal decision-making of green agricultural product supply chain with fairness concerns

Optimal decision-making of green agricultural product supply chain with fairness concerns

Optimal Decision and Coordination of Fresh E‐Commerce Supply Chain Considering Double Loss

Fresh Food Dual-Channel Supply Chain Considering Consumers’ Low-Carbon and Freshness Preferences

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