Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory

Bai, Qingguo; Gong, Yeming; Jin, Mingzhou; Xu, Xianhao

doi:10.1016/j.ijpe.2018.11.008

Cited by 175 publications

(77 citation statements)

References 51 publications

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“…Several previous studies that discussed the low carbon supply chain always examined emission tax rates or emission rates. According to Bai, et al [30], policies such as cap-and-trade are effective methods for reducing carbon emissions. Surely, such policies consider tax rates or emission rates.…”

Section: Numerical Experiments Resultsmentioning

confidence: 99%

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Integrated Green Supply Chain Model to Reduce Carbon Emission with Permissible Delay-in-Payment Consideration

Ibrahim

Putri

2019

JTI

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In practice, the policy of delaying payment periods is prevalent between players in a supply chain system. Generally, payments made at the end of the permitted period. Supply chain management is one of the keys to corporate sustainability that the activities have an impact on the environment. This paper aims to develop an integrated green supply chain model with a permissible delay in payment consideration. In this research, the author develops a mathematical model to find the effect of delay in payment on emissions costs without ignoring the economic performance of a supply chain. The author develops four different scenarios model. Furthermore, numerical experiments and sensitivity analysis tests were conducted. Result of the study shows that delay in payment is integrated players into the supply chain system. It has a positive impact on reducing supply chain emissions costs.

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Section: Numerical Experiments Resultsmentioning

confidence: 99%

“…Surely, such policies consider tax rates or emission rates. Nevertheless, the role of the government as the policy provider is vital here; one of them is the cap-and-trade policy [5,30,31]. Table 3 shows the results of sensitivity analysis by varying emission tax in two different conditions.…”

Section: Numerical Experiments Resultsmentioning

confidence: 99%

Integrated Green Supply Chain Model to Reduce Carbon Emission with Permissible Delay-in-Payment Consideration

Ibrahim

Putri

2019

JTI

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“…For past few years, there is some research on low-carbon cold chain logistics. Most research focuses on the optimization of operational decision on cold chain network, which significantly contributes to green logistics [9], such as distribution optimization [10,11] and inventory strategy optimization [12] in cold chain logistics. However, although they demonstrated that operation optimization is conducive to reducing carbon emissions, they almost focused on single-stage optimization, few researches studied the holistic optimization of integrated inventory and transportation activities.…”

Section: Introductionmentioning

confidence: 99%

“…It is noted that 14% of global greenhouse gas emissions in 2010 came from the transportation sector according to report [14]. With reference to inventory stage, the accompanying warehousing operations that employ special cold warehouse or freezer produce significant carbon emissions [12]. Furthermore, the inventory scheme will also influence the distribution planning decision.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations

Yang

Qin

2019

Sustainability

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This paper studies the optimization of cold chain integrated inventory routing problem while considering carbon emissions. First, the carbon footprint in inventory and transportation process for cold chain logistics is accurately identified and quantified. Secondly, based on the carbon regulations, which are carbon cap, carbon cap and offset, carbon cap and trade, and carbon tax regulations, four green cold chain inventory routing optimization models that minimize the total cost are constructed, respectively. Subsequently, a genetic simulated annealing algorithm (GASA) is developed in order to efficiently solve the models, which combines the advantages of the two algorithms. The effectiveness of the algorithm and the models is verified by numerical comparison experiments. Further, a set of numerical experiments is conducted to examine in detail the effectiveness of each regulation with the change of cap, carbon price, and unit fuel price in order to investigate the difference of these regulations’ impacts on the cold chain logistics. The research results show that (a) the cap and price plays a relatively important role, for their value setting may even lead to the invalidation of the regulations and the development of the enterprises; (b) carbon cap and carbon tax regulations are more powerful when compared to the other two regulations, which reduce more carbon emissions, but also pose more challenge to the enterprises’ economic development; (c) overall, cap and trade regulation is better than cap and offset regulation, because, when the cap is not sufficient, the two regulations are almost as good, but when the cap is sufficient, the offset policy is invalid; and, (d) unlike the traditional logistics, the increase of unit fuel price will not reduce carbon emissions. Several practical managerial implications for government and enterprises are also provided based on research results.

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“…To achieve this goal, governments employ many ways among which, carbon cap-and-trade regulation is believed to be an e ective way to control carbon emissions [10]. Under cap-and-trade regulation, enterprises can get certain number of emission allowances by grandfathering or by auction at the beginning of production horizon, the surplus or insu cient part can be traded in the carbon market [11]. However, it is not enough only to implement cap-and-trade regulation to curb carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

Pricing Strategy and Carbon Emission Abatement under Cap-and-Trade Regulation Considering Social Learning

Chen

2019

Discrete Dynamics in Nature and Society

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In an uncertainty market, social learning plays a signi cant role in obtaining information to make better decisions. Under cap-and-trade regulation, this paper aims to investigate rms' pricing and carbon emission abatement issues considering the impact of social learning. is paper establishes a two-period model in a market consisting of a manufacturer and heterogeneous consumers. e manufacturer produces two alternatives (ordinary product and low-carbon product) and makes decisions on sales prices and carbon emission abatement levels. Consumers make decisions on whether and which product to buy. Consumers are not sure about their valuations of products and have the opportunity to discover their true valuation by social learning. e results show that the emission abatement level on ordinary product is a ected by the pricing strategy for both types of products. However, the emission abatement level on low-carbon product is only a ected by its own pricing strategy. It also shows that social learning lowers the emission abatement level on ordinary product, whereas it improves the emission abatement level on low-carbon product when charging a high price for low-carbon product. Moreover, the price of ordinary product in period 1 is no less than that in period 2. In contrast, the price of low-carbon product in period 2 is higher than that in period 1.Hindawi

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Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory

Cited by 175 publications

References 51 publications

Integrated Green Supply Chain Model to Reduce Carbon Emission with Permissible Delay-in-Payment Consideration

Integrated Green Supply Chain Model to Reduce Carbon Emission with Permissible Delay-in-Payment Consideration

Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations

Pricing Strategy and Carbon Emission Abatement under Cap-and-Trade Regulation Considering Social Learning

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