Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Hua, Guowei; Cheng, T.C.E.; Zhang, Y.; Zhang, J. L.; Wang, Shouyang

doi:10.2507/ijsimm15(3)co12

Cited by 22 publications

(13 citation statements)

References 25 publications

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“…7 and 8). This finding is similar to the result of the study investigating double subject based CCER (Bazan et al, 2017;Hua et al, 2016). Although these studies are set in the context of an upstream and a downstream lacking any learning characteristics, they also demonstrate that the implementation of CCER proves simpler in the presence of a lower operation cost, combined with a greater level of additional revenue brought by CCER.…”

Section: Discussionsupporting

confidence: 82%

“…As an effective method of improving the efficiency of carbon emission reduction, CCER has attracted considerable attention in the academic field. Existing studies on this regard can be divided into two streams: (1) double subject based CCER (Bazan et al, 2017;Chen et al, 2013;Hua et al, 2016;Jaber et al, 2013;Manikas and Kroes, 2015;Toptal et al, 2014) and…”

Section: Related Literaturementioning

confidence: 99%

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Collaborative carbon emission reduction in supply chains: an evolutionary game-theoretic study

Zhi

Liu

Jia

2019

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Purpose The purpose of this paper is to employ an emerging phenomenon in China concerning collaborative carbon emission reduction (CCER) to investigate: first, the coordination of suppliers and manufacturers within supply chains to reduce carbon emissions, and second, the role of governmental policy in facilitating this process. Design/methodology/approach This paper draws upon evolutionary game theory to develop an evolutionary game model for CCER for suppliers and manufacturers within supply chains. This includes a detailed analysis of the evolutionary direction and process in different areas, both with, and in the absence of, governmental subsidies. Findings The results demonstrate that CCER is path dependent and that its evolutionary process is influenced by the following four factors: the initial status within supply chains; the cost; the additional benefit; and the investment risk related to CCER. The research also reveals that the reward provided by manufacturers is rational over the long term, due to the excessive cost of incentives potentially preventing the implementation of CCER. Originality/value This study represents the first attempt to investigate CCER within supply chains through the application of an evolutionary game-theoretic model. The investigation of multiple factors in the model will deepen understanding of the collaborative role required for the carbon emission reduction.

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Section: Discussionsupporting

confidence: 82%

Section: Related Literaturementioning

confidence: 99%

Collaborative carbon emission reduction in supply chains: an evolutionary game-theoretic study

Zhi

Liu

Jia

2019

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“…Dye and Yang [18] consider trade credit and inventory strategies for perishable products with time varying deterioration rate under carbon cap-andtrade policy and analyze the impact of trade credit and carbon emission policy on inventory strategies. Hua et al [19] propose two perishable inventory models under carbon tax and cap-and-trade regulations in which the deterioration rate is constant. They explore the characters of optimal solutions and discuss the effect of carbon emission regulations on inventory decisions and profits by numerical examples.…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Joint Transportation and Inventory Strategy for Perishable Items with Weibull Distribution under Carbon Emission Regulations

Cui

Chen

et al. 2018

Mathematical Problems in Engineering

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This paper studies the optimal transportation and inventory strategy for perishable items under carbon cap-and-trade and carbon tax regulations. Nonlinear optimization models are constructed to maximize the total profits per unit time when the deterioration rate satisfies a two-parameter Weibull distribution and the demand rate is a linear function with respect to the current inventory level. The existence conditions of the optimal replenishment cycles under two carbon emission policies are proved. The characteristics of the optimal replenishment cycles, maximal total profits, and carbon emissions per unit time under two carbon emission policies are compared. Finally, a numerical test is provided to illustrate the theoretical results and Taguchi method is employed to analyze the sensitivity of total profits and carbon emissions per unit time with respect to the parameters of carbon emission policies, transportation time, and Weibull parameters. The results show that parameters of carbon emission regulations have greater effect on total profits per unit time, and the transportation time has the greatest effect on carbon emissions per unit time.

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“…The emergency supplies include alcohol, blood, plasma and some other perishable medical materials [22]. Inventory management of perishable products also has attracted much attention [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Simulation for Airport Emergency Inventory with Replacement

Meng¹,

Guo²,

Zhao³

2017

Int. j. simul. model.

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The paper assumes that the accident occurrence time is stochastic and emergency supplies is perishable, then two replacement stochastic models based on remaining lifetime and remaining quantity are first proposed. In order to identify the effectiveness of replacement strategy, two replacement-based stochastic models are compared with the general stochastic model that is non-replacement, measured by inventory level and total costs. A discrete-event simulation model is developed to demonstrate effects of occurrence time uncertainty, replacement ratios and distributed functions in occurrence time and demand. Sensitive analysis shows that the optimal decision is more sensitive to remaining quantity ratio as compared to remaining lifetime ratio. The paper shows that when decision-makers ignore occurrence time uncertainty and limited warehousing time, they may significantly miss better decisions. Further, simulation results demonstrate that different distributed functions in both occurrence time and demand lead to different inventory strategies.

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Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Cited by 22 publications

References 25 publications

Collaborative carbon emission reduction in supply chains: an evolutionary game-theoretic study

Collaborative carbon emission reduction in supply chains: an evolutionary game-theoretic study

Joint Transportation and Inventory Strategy for Perishable Items with Weibull Distribution under Carbon Emission Regulations

Optimization and Simulation for Airport Emergency Inventory with Replacement

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