This paper focuses on the impact of consumers’ preference to low carbon in the emission-concerned supply chain. In an emission-concerned supply chain, the consumers are assumed to prefer to low-carbon products. In an emission sensitive market, emission reduction not only brings the higher production costs but also stimulates the inverse demand function. Therefore, this may be an opportunity for players of the supply chain to coordinate their two objectives: environmental pressure (to reduce carbon emissions for environment protection) and profit-seeking, which intuitively seem to be contradictory. In order to address this research focus, a novel emission-sensitive demand function is adopted, and an emission -sensitive cost function is introduced explicitly to capture the deviation production cost caused by emission reduction. Then the decision-making of each member in the emission-concerned supply chain is investigated. We find that the decision-maker of the supply chain will choose different emission reduction strategies for different cases. An inspiring result shows that the channel profit as well as the emission reduction increase in the consumers’ preference to low-carbon consumption simultaneously in particular cases. Moreover, several emission-concerned contracts are designed to coordinate the channel. Another finding is that the manufacturer’s optimal carbon emissions per unit product keeps the same as the centralised channel, no matter whether the supply chain is coordinated or not. Furthermore, the further discussion reveals that less eco-friendly production than the traditional, if lack of external regulation as well as internal moral self-discipline, might be chosen under some specific conditions. 相似文献
This paper focuses on the adaptive event-triggered consensus control problem for a class of stochastic nonlinear multi-agent systems with unknown nonlinear control directions and external disturbances. The heterogeneous nonlinear dynamics and non-identical unknown control directions are discussed for different agents. The application of the event-triggered mechanism can effectively decrease the update frequency of the controller, and unknown nonlinear dynamics are solved by using fuzzy logic systems. Under the action of the designed distributed controller, all signals of this stochastic multi-agent systems can reach semi-globally uniformly ultimately bounded (SGUUB) in mean square. Furthermore, Zeno behavior can be ruled out by the existence of positive inter-event intervals. Finally, a simulation example is presented to verify the feasibility of the algorithm.
Landfill leachate was gasified in supercritical water (SCW) in a batch reactor made of 316 SS. The effects of temperature, pressure, reaction time and oxidation coefficient (OC) on the pollutant removal efficiencies and gasification characteristics were investigated. To observe the formation of tar and char visually, a capillary quartz reactor was also used. Results indicated that CO2, H2 and CH4 were the most abundant gaseous products. Temperature has an appreciable effect on the gasification process. Increasing temperature enhanced the H2 yield (GYH2) and TOC removal efficiency (TRE) significantly. Although the influence of reaction time on the fractions of gaseous products was negligible at time above 300 s, the yields of H2, CH4, and CO2 increased with reaction time whereas the CO, C2H4 and C2H6 yields decreased. Tar and char formation was evident on the interior surface of capillary quartz reactor. Adding a little oxidant could increase H2 and CH4 yields and decrease tar and char formation. GYH2 reached up to the maximum of 231.3 mmol L?1 leachate at 500 °C, 25 MPa, 600 s and 0.2 OC, which was 2.4 times of that without oxidant. 相似文献