scholarly journals Multi-Objective Production and Transportation Scheduling Considering Carbon Dioxide Emissions Reductions in Dynamic Supply Chains

2012 ◽  
Vol 6 (3) ◽  
pp. 322-330 ◽  
Author(s):  
Yoshitaka Tanimizu ◽  
◽  
Katuhumi Amano ◽  
Kana Harada ◽  
Chisato Ozawa ◽  
...  

Previous studies have proposed a dynamic configuration method for two-layered supply chains consisting of a set of clients and suppliers. The proposed method provides suitable delivery times and prices of products through the modification process of production schedules of the suppliers and the negotiation process between the clients and the suppliers in consideration of transportation constraints. This research proposes a new supply chain model extended for carbon dioxide emissions reductions in the two-layered dynamic supply chains. The suppliers provide transportation plans to reduce carbon dioxide emissions in transportation processes without losing chances to enter into a large number contracts with the clients. The effectiveness of the proposed model is verified through computational experiments from the viewpoints of both the amount of carbon dioxide emitted in transportation processes and the profits of the suppliers.

2015 ◽  
Vol 2015 ◽  
pp. 1-21 ◽  
Author(s):  
Yan Sun ◽  
Maoxiang Lang

We explore a freight routing problem wherein the aim is to assign optimal routes to move commodities through a multimodal transportation network. This problem belongs to the operational level of service network planning. The following formulation characteristics will be comprehensively considered: (1) multicommodity flow routing; (2) a capacitated multimodal transportation network with schedule-based rail services and time-flexible road services; (3) carbon dioxide emissions consideration; and (4) a generalized costs optimum oriented to customer demands. The specific planning of freight routing is thus defined as a capacitated time-sensitive multicommodity multimodal generalized shortest path problem. To solve this problem systematically, we first establish a node-arc-based mixed integer nonlinear programming model that combines the above formulation characteristics in a comprehensive manner. Then, we develop a linearization method to transform the proposed model into a linear one. Finally, a computational experiment from the Chinese inland container export business is presented to demonstrate the feasibility of the model and linearization method. The computational results indicate that implementing the proposed model and linearization method in the mathematical programming software Lingo can effectively solve the large-scale practical multicommodity multimodal transportation routing problem.


Author(s):  
E. A. Alabushev ◽  
I. S. Bersenev ◽  
V. V. Bragin ◽  
A. A. Stepanova

The Paris Agreement, adopted in December of 2015 at the 21st session of the UNFCCC Conference of the Parties and effected from November of 2016, coordinates the efforts of states to reduce greenhouse gas (GHG) emissions, including carbon dioxide. One of its largest emitters to the atmosphere is the metallurgical industry. Among the proposed ways to reduce carbon dioxide emissions is the widespread use of hydrogen in the ferrous metallurgy. An overview of the problems that the ferrous metallurgy will face when replacing carbon-containing fuels with hydrogen is presented. It was noted that the use of hydrogen in the ferrous metallurgy contains such technological risks as high cost in comparison with currently used fuels and reducing agents; explosion hazard and corrosion activity, the need for a radical reconstruction of thermal units when using hydrogen instead of traditional for the ferrous metallurgy natural, coke and blast furnace gases, as well as solid fuels. It is shown that minimizing these risks is not always possible or economically feasible, and the result of using hydrogen in the ferrous metallurgy instead of carbon-containing fuel from the point of view of reducing greenhouse gas emissions may be low with a significant increase of economic and social risks.


2017 ◽  
Vol 98 (6) ◽  
pp. 1227-1229 ◽  
Author(s):  
Angus R. Westgarth-Smith

Ocean acidification (OA) is caused by increasing atmospheric concentrations of carbon dioxide, which dissolves in seawater to produce carbonic acid. This carbonic acid reduces the availability of dissolved aragonite needed for production of some invertebrate exoskeletons with potentially severe consequences for marine calcifier populations. There is a lack of public information on OA with less than 1% of press coverage on OA compared with climate change; OA is not included in UK GCSE and A Level specifications and textbooks; environmental campaigners are much less active in campaigning about OA compared with climate change. As a result of the lack of public awareness OA is rarely discussed in the UK Parliament. Much more public education about OA is needed so that people can respond to the urgent need for technological and lifestyle changes needed to massively reduce carbon dioxide emissions.


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