Multi-period inventory routing problem under carbon emission regulations

Cheng, Chun; Qi, Mingyao; Wang, Xingyi; Zhang, Ying

doi:10.1016/j.ijpe.2016.09.001

Cited by 65 publications

(39 citation statements)

References 46 publications

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“…In terms of pricing and the strategy of emission reduction, Hammami et al [38] developed a multiple-layer production-inventory model with carbon emission constraints and compared the impacts of individual carbon emission caps and global emission caps on the total carbon emissions. Cheng et al [39] constructed a nonlinear planning model to analyze the impacts of carbon emission regulations on the inventory routing problem (IRP) and note that a smaller carbon quota may lead to greater carbon emissions. Qi et al [40] investigated the optimal pricing decisions with the limits of total carbon emissions of supply chains consisting of one supplier and two competitive retailers.…”

Section: Constraints Of Carbon Emissionsmentioning

confidence: 99%

Pricing Decisions of CSR Closed-Loop Supply Chains with Carbon Emission Constraints

et al. 2018

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Global warming has become a growing concern for countries around the world. Currently, the direct way to solve this issue is to curb carbon emissions. Governments and enterprises should assume the social responsibility to conserve the environment. Under the background of carbon emission constraint, this article investigates the optimal decisions of closed-loop supply chains in the context of social responsibility, explores the impacts of constraints of carbon emissions and corporate social responsibility on recycling and remanufacturing decisions, and introduces the model of maximizing social welfare for further comparison and analysis. The results show that the coefficient of remanufacturing and emission reduction and the coefficient of government reward and punishment are inversely proportional to recycling rates and the total carbon emissions. Governments should formulate rational carbon emission caps for enterprises with different coefficients of remanufacturing and emission reduction. Additionally, corporate social responsibility has a positive effect on recycling rates, and a rise in its strength can lead to a fall in carbon emissions per unit product. In terms of product recycling and profit sources, the model of maximizing social welfare is superior to that of maximizing the manufacturer’s total profits, which provides new managerial insights for decision-makers.

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Section: Constraints Of Carbon Emissionsmentioning

confidence: 99%

Pricing Decisions of CSR Closed-Loop Supply Chains with Carbon Emission Constraints

et al. 2018

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“…Under carbon emission regulations, Konur and Schaefer [34] analyzed the integrated inventory routing problem and investigated the economic order quantity model with less-than-truckload (LTL) and truckload (TL) transportation. Similarly, Cheng et al [35] also studied the IRP problem under different carbon emission regulations. The difference is that Cheng et al focused on an inbound commodity collection system, while the former scholars considered the extended EOQ model.…”

Section: Environmentally Conscious Inventory Routing Modelsmentioning

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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“…The IRP is to determine simultaneously the optimal inventory control strategy and vehicle schedules to minimize the supply chain's total cost [13] . In the past, this cost has been assessed solely in economic terms.…”

Section: Introductionmentioning

confidence: 99%

Inventory and Routing Problem of Supply Chain Under Carbon Emission Constraint

Wang¹,

Huang²,

Shang³

et al. 2017

Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

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Abstract. Sustainable development requires supply chains to operate in a low carbon way, and the inventory and transportation decision in a supply chain has an important influence on its overall carbon emissions. Based on the cooperative concept of jointly managed inventory among the members, this paper takes the multi-period Inventory Routing Problem (IRP) of a two stage supply chain as the research object which has some different characteristics such as supplying transportation, heterogeneous vehicles and emission constraint from the existing researches, builds an Integer Linear Programming(ILP) model under carbon emission constraints for the problem firstly, and then does experiments and analyzes the results on an actual case, finds out that the carbon emissions of a supply chain can be reduced greatly by jointly managing inventory and optimizing transportation routes at the expense of a small operating cost increase. The research results also provide some valuable implications for the low carbon improvement of supply chains.

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Multi-period inventory routing problem under carbon emission regulations

Cited by 65 publications

References 46 publications

Pricing Decisions of CSR Closed-Loop Supply Chains with Carbon Emission Constraints

Pricing Decisions of CSR Closed-Loop Supply Chains with Carbon Emission Constraints

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

Inventory and Routing Problem of Supply Chain Under Carbon Emission Constraint

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