Published December 1, 2019
| Version v1
Journal article
Research on the optimization model of cold chain logistics distribution path under the constraint of carbon emission
- 1. Graduate Department, Guangxi University of science and technology, 545006 (China)
- 2. Office of Financial Affairs, Guangxi University of science and technology, 545006 (China)
- 3. School of Economics and Management, Guangxi University of science and technology, 545006 (China)
Description
The optimization of cold chain logistics distribution path under the constraint of carbon emission is considered. The restriction of hard time window and carbon emission is added to the model design. The carbon emission is converted into the final objective function of economic cost, transportation cost and goods loss cost in the way of carbon trading price. The problem of energy consumption is considered from the perspective of Economics. The cost of carbon emission is added to the mileage saving method, and the improved algorithm is used to increase the applicability of this kind of algorithm. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1423/1/012034Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1423
- Journal Issue
- 1
- Journal Page Range
- [7 p.]
- ISSN
- 1742-6596
Conference
- Title
- International Conference on Applied Machine Learning and Data Science
- Dates
- 15-17 Nov 2019
- Place
- Chengdu (China)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53067794
- Subject category
- S42: ENGINEERING; S32: ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; CARBON; DESIGN; EMISSION; ENERGY CONSUMPTION; OPTIMIZATION
- Descriptors DEC
- ELEMENTS; MATHEMATICAL LOGIC; NONMETALS