scholarly journals Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery Time

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Changping Liu ◽  
Weiyu Zhou

Under the requirements of the national carbon reduction target, the recycling and remanufacturing of scrap iron and steel are taken by major iron and steel enterprises as requirements for implementing industrial carbon emission reduction and are incorporated into their production strategies. The scheduling optimization of scrap iron and steel remanufacturing processes plays an important role in the energy saving and emission reduction of iron and steel enterprises. In this paper, a remanufacturing production decision model for scrap iron and steel considering both the product delivery time and carbon emissions was established, and a discrete krill swarm algorithm was designed to solve the multiobjective production decision model. The effectiveness of the model and the algorithm was verified by an example, demonstrating a good decision-making reference for the implementation of energy conservation and emission reduction in iron and steel enterprises.

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Shijuan Wu ◽  
Zhigang Huang

This paper studies a two-echelon supply chain consisting of a retailer and a manufacturer under carbon emission reduction target and carbon cap-and-trade policy. The unit production cost varies when carbon price fluctuates. We find that carbon price fluctuations affect the original optimal production decision in the supply chain. We also compare how this disturbance affects the supply chain operations under three different power structures with a focus on the profitability and robustness.


Author(s):  
Ma Changsong ◽  
Yuan Tiantong ◽  
Zhong Lei ◽  
Liu Wei

AbstractThis paper studies the optimal low carbon production decision system with considered the constraints of carbon emission reduction policy for manufacturing enterprises producing two kinds of products in the free market. Firstly, The research proved the optimal production combination exists and it is unique under the carbon emissions limits, and next, the research analyzed the low-carbon production decision-making system in three situations, which are carbon emission trade decision, green technology input decision, and joint decision. The research results showed that carbon emission permits trade can increase more flexibility to manufacturing enterprises and increase their profits as well. However, the carbon emissions limits set by the government would have an important impact on the production decision system of manufacturing enterprises. Carbon emission permits trade and green technology investment can optimize and improve the production decision system of manufacturing enterprises to a certain extent. Meanwhile, the government's scientific and reasonable formulation of initial carbon quotas would mobilize the enthusiasm and initiative of manufacturing enterprises to participate in carbon emission reduction. The government should also guide and encourage enterprises to invest in and develop low-carbon emission reduction technologies through tax relief, so as to improve carbon emission reduction technologies and its innovations to reduce carbon dioxide emissions.


2018 ◽  
Vol 53 ◽  
pp. 04020
Author(s):  
Licheng Sun ◽  
Lingling Jiang ◽  
Biying Zhao

This paper utilizes 27 Chinese industry sectors as study objects, and measures the decoupling effects of the industrial carbon emission transfer; furthermore, this paper proposes several optimizing strategies for an inter-industry carbon emission transfer structure toward the realization of dual goals, i.e., industrial economic development and industrial carbon emission reduction. The research result shows that: Different industries show different decoupling effects of carbon emission transfer, and the distribution of the six states of decoupling effects could all be observed. With respect to dynamic variations, the decoupling effects of industrial carbon emission transfer were optimal during the late stage, and the decoupling effects during 2010-2012 were the most optimal. With respect to the optimizing strategies for the inter-industry carbon emission transfer, efforts should be focused on increasing the carbon emission exports, while reducing the carbon emission imports of 11 industries (CMWI and others). Future efforts should be directed at increasing carbon emission imports and reducing carbon emission exports in the three industries of CLII, PPSM, and MPI, while increasing both carbon emission exports and imports in 10 industries (FMTP and others), and reducing both carbon emission imports and exports in the three industries of MMII, OMW, and WRT.


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