Optimal Coordination Strategy for International Production Planning and Pollution Abating under Cap-and-Trade Regulations

Xin, Baogui; Peng, Wei; Sun, Minghe

doi:10.3390/ijerph16183490

Cited by 12 publications

(9 citation statements)

References 35 publications

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“…Due to the increasing concerns on environmental issues, changes are foreseen in the future in supply chain operations, regardless of whether business firms are voluntarily or are forced by new legislations to reduce carbon emissions (Hoen et al [17]; Xin et al [51]; Zhang et al [56]). Many publications have appeared in the literature in recent years focusing on low carbon supply chains.…”

Section: Previous and Related Workmentioning

confidence: 99%

“…Carbon trading; carbon tax Bazan et al [7]; Wang et al [47]; Wang, Zhao and Herty [49]; Saxena et al [34]; Xin et al [51]; Huang et al [18]; Samuel et al [33].…”

Section: Policies For Carbon Emission Reductionmentioning

confidence: 99%

“…As pointed out by Martí et al [26], the supply chain approaches aiming to ensure effective carbon management should make the environmental and operational trade-offs in the various processes, including purchasing, transportation and inventory. The regulations and policies on low carbon emissions play an important role in the low carbon supply chain management (Xin et al [51]; Zhang et al [56]). Saxena et al [34] established a tactical planning model for a tyre remanufacturing supply chain considering the carbon emission cost.…”

Section: Supply Chain Network Designmentioning

confidence: 99%

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Multi-objective optimization for a combined location-routing-inventory system considering carbon-capped differences

Tang

Sun

et al. 2022

JIMO

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A combined location-routing-inventory system (CLRIS) in a threeechelon supply chain network is studied with environmental considerations. Specifically, a bi-objective mixed integer programming model is formulated for the CLRIS to deal with the trade-offs between the total cost and the carbon-capped difference (CCD). A multi-objective particle swarm optimization (MOPSO) heuristic solution procedure is developed and implemented to solve the bi-objective mixed integer programming problem. The bi-objective mixed integer programming model and the MOPSO heuristic procedure are applied to a real-life problem as an illustrative example. The approximate nondominated frontier formed by solutions not dominated by others can be used for the decision makers to make trade-offs between the total cost and the CCD. Sensitivity analyses are conducted, and the relationship among the carbon cap, CCD, the total cost and the carbon prices are examined, and relevant managerial insights are provided. Comparisons with other existing algorithms show that the MSPSO heuristic procedure has very good performance.

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Section: Previous and Related Workmentioning

confidence: 99%

“…Carbon trading; carbon tax Bazan et al [7]; Wang et al [47]; Wang, Zhao and Herty [49]; Saxena et al [34]; Xin et al [51]; Huang et al [18]; Samuel et al [33].…”

Section: Policies For Carbon Emission Reductionmentioning

confidence: 99%

Section: Supply Chain Network Designmentioning

confidence: 99%

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Multi-objective optimization for a combined location-routing-inventory system considering carbon-capped differences

Tang

Sun

et al. 2022

JIMO

Self Cite

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“…Bai et al [17] studied the problem of excessive carbon emissions in the inventory management of deteriorating products and designed a contract to coordinate the profit in the decentralized system and reduce emissions. Xin et al [18] used mathematical methods to study the optimal production plans of n countries under the C&T mechanism.…”

Section: Operations Management Under Carbon Emissions Regulationsmentioning

confidence: 99%

Optimal Decisions for Two Risk-Averse Competitive Manufacturers under the Cap-and-Trade Policy and Uncertain Demand

Sun

Yang

Zhong

2020

IJERPH

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With the increasingly serious problem of environmental pollution, reducing carbon emissions has become an urgent task for all countries. The cap-and-trade (C&T) policy has gained international recognition and has been adopted by several countries. In this paper, considering the uncertainty of market demand, we discuss the carbon emission reduction and price policies of two risk-averse competitive manufacturers under the C&T policy. The two manufacturers have two competitive behaviors: simultaneous decision making and sequential decision making. Two models were constructed for these behaviors. The optimal decisions, carbon emission reduction rate, and price were obtained from these two models. Furthermore, in this paper the effects of some key parameters on the optimal decision are discussed, and some managerial insights are obtained. The results show that the lower the manufacturers’ risk aversion level is, the higher their carbon emission reduction rate and utilities. As the carbon quota increases, the manufacturers’ optimal carbon reduction rate and utilities increase. Considering consumers’ environmental awareness, it is more beneficial for the government to reduce the carbon quota and motivate manufacturers’ internal enthusiasm for emission reduction. The government can, through macro control of the market, make carbon trading prices increase appropriately and encourage manufacturers to reduce carbon emissions.

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“…However, as such an industry with the characteristics of innovation elements intensive, high investment risks, long investment cycle, and intense competition, the blockchain cloud services market must face too much uncertainty. We can employ the Brownian motion to represent uncertainty [16], [17]. So it is necessary for us to study stochastic versions of the duopoly game.…”

Section: Introductionmentioning

confidence: 99%

Stability and Hopf Bifurcation of a Stochastic Cournot Duopoly Game in a Blockchain Cloud Services Market Driven by Brownian Motion

Xin

Wang

2020

IEEE Access

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The blockchain technology has been rapidly popularizing and gaining a quick mileage in many domains owing to its innate nature, so there must be several tremendous market opportunities and uncertainties for the blockchain cloud service. We propose a Cournot duopoly game in a blockchain cloud services market for cyber-physical-social systems (CPSS). Introducing Brownian noise disturbance to the deterministic Cournot duopoly game, we construct a stochastic Cournot duopoly game in a blockchain cloud service market with uncertainty. We analyze the stochastic stability of the Cournot duopoly game by the Lyapunov exponent method, the Lyapunov function, and the singular boundary theory. Then we investigate the stochastic Hopf bifurcation of the Cournot duopoly game by the invariant measure theory. At last, we numerically validate these results by the probability density. These results of stability and Hopf bifurcation illustrate complex behaviors of the stochastic Cournot duopoly game in the blockchain cloud services market.

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Optimal Coordination Strategy for International Production Planning and Pollution Abating under Cap-and-Trade Regulations

Cited by 12 publications

References 35 publications

Multi-objective optimization for a combined location-routing-inventory system considering carbon-capped differences

Multi-objective optimization for a combined location-routing-inventory system considering carbon-capped differences

Optimal Decisions for Two Risk-Averse Competitive Manufacturers under the Cap-and-Trade Policy and Uncertain Demand

Stability and Hopf Bifurcation of a Stochastic Cournot Duopoly Game in a Blockchain Cloud Services Market Driven by Brownian Motion

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