scholarly journals Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hanwen Liu ◽  
Xiaobing Liu ◽  
Sardar M. N. Islam ◽  
Xueqiao Yu ◽  
Qiqi Miao ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Carbon Emission ◽  
Operating Cost ◽  
Low Carbon ◽  
Improved Genetic Algorithm ◽  
Customer Demand ◽  
Purchasing Cost ◽  
Combined Strategy ◽  
The Cost ◽  
Energy Type

AbstractWith the optimal operating cost and optimal carbon emission target of the chemical logistics companies, a low-carbon routing optimisation with a multi-energy type vehicle combined problem is proposed by considering the concept of the logistics companies’ low-carbon behaviour. An integrated decision-making of multi-energy type vehicles combined strategy and route optimisation based on customer demand is presented, and an improved genetic algorithm is designed. A case study is then applied based on the data collected from the case research. The effectiveness of the improved genetic algorithm is tested. The two joint objectives of operating cost and carbon emission are examined through the cost analysis of environmental energy vehicles and traditional energy vehicles in different combination scenarios. The case analysis shows that a rational multi-energy type vehicle combination with route optimisation has a significant correlation with the operating cost and carbon emissions, while the environmental vehicle purchasing cost reduction and subsidy policy affect the operating cost.

scholarly journals Carbon Emission Reduction of Apparel Material Distribution Based on Multi-Objective Genetic Algorithm (NSGA-II)

2019 ◽  
Vol 11 (9) ◽  
pp. 2571
Author(s):  
Xujing Zhang ◽  
Lichuan Wang ◽  
Yan Chen
Keyword(s):  
Genetic Algorithm ◽  
Carbon Emissions ◽  
Optimal Solution ◽  
Material Distribution ◽  
Low Carbon ◽  
Nsga Ii ◽  
Management Objectives ◽  
Multi Objective Genetic Algorithm ◽  
Distribution Process ◽  
The Cost

Low-carbon production has become one of the top management objectives for every industry. In garment manufacturing, the material distribution process always generates high carbon emissions. In order to reduce carbon emissions and the number of operators to meet enterprises’ requirements to control the cost of production and protect the environment, the paths of material distribution were analyzed to find the optimal solution. In this paper, the model of material distribution to obtain minimum carbon emissions and vehicles (operators) was established to optimize the multi-target management in three different production lines (multi-line, U-shape two-line, and U-shape three-line), while the workstations were organized in three ways: in the order of processes, in the type of machines, and in the components of garment. The NSGA-II algorithm (non-dominated sorting genetic algorithm-II) was applied to obtain the results of this model. The feasibility of the model and algorithm was verified by the practice of men’s shirts manufacture. It could be found that material distribution of multi-line layout produced the least carbon emissions when the machines were arranged in the group of type.

scholarly journals Supply Chain Investment in Carbon Emission-Reducing Technology Based on Stochasticity and Low-Carbon Preferences

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Shan Yu ◽  
Qiang Hou
Keyword(s):  
Supply Chain ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Equilibrium Strategy ◽  
Market Demand ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
Dynamic Perspective ◽  
The Cost ◽  
The Impact

Due to excessive greenhouse gas emissions, carbon emission-reducing measures are urgently needed. Important emission-reduction measures mainly include carbon trading and low-carbon cost subsidies. Comprehensive consideration of these two policies is a research hotspot in the field of low-carbon technology investment. Based on this background, this paper considers the impact of consumer low-carbon preferences on market demand and the impact of uncertainty in carbon emission-reduction behaviour. We construct a stochastic differential game model with upstream and downstream enterprises based on cost-sharing coordination under a cost subsidy. From a dynamic perspective, this paper researches the optimal equilibrium strategy and evolution characteristics of the joint emission-reduction mechanism in a supply chain. This paper discusses the sensitivity of the parameters and uses numerical simulation to verify the impact of each parameter on the emission-reduction decision-making activities of stakeholders after introducing the cost subsidy. The results show that a cost subsidy policy can promote carbon emission-reduction investment and supply chain profit. Thus, it is important to strengthen technical cooperation and exchange among enterprises.

scholarly journals Research on low-carbon power planning with gas turbine units based on carbon transactions

2021 ◽  
Vol 252 ◽  
pp. 03060
Author(s):  
Lu Yu ◽  
Shi Shengyao ◽  
Zhang Dachi ◽  
Feng Shunqiang ◽  
Zhang Yuanmei ◽  
...  
Keyword(s):  
Power System ◽  
Gas Turbine ◽  
Carbon Emission ◽  
Peak Load ◽  
Carbon Trading ◽  
Planning Model ◽  
Low Carbon ◽  
Bacterial Colony ◽  
The Cost ◽  
Low Carbon Emission

In the context of low carbon economy, introducing carbon trading and developing low-carbon energy generation is an important means to realize low-carbon development of the power system. Because gas power generation has the advantages of high efficiency, low carbon emission and strong peak load capability, the gas generator unit is added to the planning plan and a low carbon power planning model based on carbon trading is established. The goal of the model is to minimize the cost of the system integration. The cost includes investment operation cost and carbon transaction cost. And the natural gas supply constraints and carbon trading constraints are increased in the constraint condition. Finally, the discrete bacterial colony chemotaxis algorithm is adopted to solve this model. Through the model comparison and sensitivity analysis, it is concluded that the addition of gas turbine unit and carbon trading mechanism can optimize the power supply structure, promote the construction of low carbon unit. and realize the conclusion of low carbon emission reduction of power system. And the results verify the effectiveness of the proposed power planning model.

Improved Genetic Algorithm for Optimization of Multi-Source Pumping Tree-Type Pipe Network

2011 ◽  
Vol 402 ◽  
pp. 738-741
Author(s):  
Hong Zhan ◽  
Jian Jun Yang ◽  
Yu Cheng Ding
Keyword(s):  
Genetic Algorithm ◽  
Graph Theory ◽  
Operating Cost ◽  
Dual Coding ◽  
Pipe Diameter ◽  
Pipe Network ◽  
Improved Genetic Algorithm ◽  
Binary Coding ◽  
Complete Optimization ◽  
Tree Type

An optimization model for multi-source pumping tree-type pipe network is established, in which the investment and operating cost are considered simultaneously. Useing graph theory knowledge, the essence of pipe layout optimization for multi-sources tree-type pipe network is searching for a group of optimal subtrees. In the complete optimization of pipe network, the pipe layout mode and pipe diameter are needed to optimize simultaneously, so the dual coding genetic algorithm combining binary coding with integer coding is adopted, and the pipe diameter restriction is satisfied automatically. According to the tree character, method based on cycle is adopted in the operational process of binary coding, the partheno-genetic operation is designed to produce new individual, the infeasible solutions are avoided. Example shows the efficiency of the algorithm.

scholarly journals Game Theoretic Analysis of Carbon Emission Reduction and Sales Promotion in Dyadic Supply Chain in Presence of Consumers’ Low-Carbon Awareness

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Liangjie Xia ◽  
Longfei He
Keyword(s):  
Supply Chain ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Sales Promotion ◽  
Side Payment ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
Game Theoretic Analysis ◽  
Game Theoretic ◽  
The Cost

The paper studies how the combination of the manufacturer’s carbon emission reduction and the retailer’s emission reduction relevant promotion impacts the performances of a dyadic supply chain in low-carbon environment. We consider three typical scenarios, that is, centralized and decentralized without or with side-payment. We compare measures of supply chain performances, such as profitabilities, emission reduction efficiencies, and effectiveness, in these scenarios. To improve chain-wide performances, a new side-payment contract is designed to coordinate the supply chain and numerical experiments are also conducted. We find the following. (1) In decentralized setting, the retailer will provide emission cutting allowance to the manufacturer only if their unit product profit margin is higher enough than the manufacturer’s, and the emission reduction level of per unit product is a monotonically increasing function with respect to the cost pooling proportion provided by the retailer; (2) the new side-payment contract can coordinate the dyadic supply chain successfully due to its integrating sales promotion effort and emission reduction input, which results in system pareto optimality under decentralized individual rationality but achieves a collective rationality effect in the centralized setting; (3) when without external force’s regulation, consumers’ low-carbon awareness is to enhance consumers’ utility and decrease profits of supply chain firms.

An Improved Genetic Algorithm for Solving Multi Depot Vehicle Routing Problems

2021 ◽  
pp. 375-402
Author(s):  
Varimna Singh ◽  
L. Ganapathy ◽  
Ashok K. Pundir
Keyword(s):  
Genetic Algorithm ◽  
Vehicle Routing ◽  
Carrying Capacity ◽  
Vehicle Routing Problem ◽  
Np Hard ◽  
Vehicle Routing Problems ◽  
Improved Genetic Algorithm ◽  
Routing Problem ◽  
Hybrid Clustering ◽  
The Cost

The classical Vehicle Routing Problem (VRP) tries to minimise the cost of dispatching goods from depots to customers using vehicles with limited carrying capacity. As a generalisation of the TSP, the problem is known to be NP-hard and several authors have proposed heuristics and meta-heuristics for obtaining good solutions. The authors present genetic algorithm-based approaches for solving the problem and compare the results with available results from other papers, in particular, the hybrid clustering based genetic algorithm. The authors find that the proposed methods give encouraging results on all these instances. The approach can be extended to solve multi depot VRPs with heterogeneous fleet of vehicles.

An Improved Genetic Algorithm for Solving Multi Depot Vehicle Routing Problems

2019 ◽  
Vol 12 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Varimna Singh ◽  
L. Ganapathy ◽  
Ashok K. Pundir
Keyword(s):  
Genetic Algorithm ◽  
Vehicle Routing ◽  
Carrying Capacity ◽  
Vehicle Routing Problem ◽  
Np Hard ◽  
Vehicle Routing Problems ◽  
Improved Genetic Algorithm ◽  
Routing Problem ◽  
Hybrid Clustering ◽  
The Cost

The classical Vehicle Routing Problem (VRP) tries to minimise the cost of dispatching goods from depots to customers using vehicles with limited carrying capacity. As a generalisation of the TSP, the problem is known to be NP-hard and several authors have proposed heuristics and meta-heuristics for obtaining good solutions. The authors present genetic algorithm-based approaches for solving the problem and compare the results with available results from other papers, in particular, the hybrid clustering based genetic algorithm. The authors find that the proposed methods give encouraging results on all these instances. The approach can be extended to solve multi depot VRPs with heterogeneous fleet of vehicles.

scholarly journals Supplier Selection and Order Allocation under a Carbon Emission Trading Scheme: A Case Study from China

2019 ◽  
Vol 17 (1) ◽  
pp. 111 ◽  
Author(s):  
Chen Wang ◽  
Qingyan Yang ◽  
Shufen Dai
Keyword(s):  
Supplier Selection ◽  
Carbon Emission ◽  
Emission Trading ◽  
Low Carbon ◽  
Order Allocation ◽  
Total Cost ◽  
Carbon Emission Trading ◽  
The Cost ◽  
The Impact ◽  
Carbon Prices

In implementing carbon emission trading schemes (ETSs), the cost of carbon embedded in raw materials further complicates supplier selection and order allocation. Firms have to make decisions by comprehensively considering the cost and the important intangible performance of suppliers. This paper uses an analytic network process–integer programming (ANP–IP) model based on a multiple-criteria decision-making (MCDM) approach to solve the above issues by first evaluating and then optimizing them. The carbon embedded in components, which can be used to reflect the carbon competitiveness of a supplier, is integrated into the ANP–IP model. In addition, an international large-scale electronic equipment manufacturer in China is used to validate the model. Different scenarios involving different carbon prices are designed to analyze whether China’s current ETS drives firms to choose more low-carbon suppliers. The results show that current carbon constraints are not stringent enough to drive firms to select low-carbon suppliers. A more stringent ETS with a higher carbon price could facilitate the creation of a low-carbon supply chain. The analysis of the firm’s total cost and of the total cost composition indicates that the impact of a more stringent ETS on the firm results mainly from indirect costs instead of direct costs. The indirect cost is caused by the suppliers’ transfer of part of the low-carbon investment in the product, and arises from buying carbon permits with high carbon prices. Implications revealed by the model analysis are discussed to provide guidance to suppliers regarding the balance between soft competitiveness and low-carbon production capability and to provide guidance to the firm on how to cooperate with suppliers to achieve a mutually beneficial situation.

scholarly journals Research on evolution game of clothing enterprises’ carbon emission reduction investment considering free riding behavior

2021 ◽  
Vol 237 ◽  
pp. 01029
Author(s):  
Hangxin Guo ◽  
Zheng Liu ◽  
Mengmeng Zhao ◽  
Huihui Wang
Keyword(s):  
Supply Chain ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Evolutionary Game ◽  
Free Riding ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
Low Carbon Economy ◽  
The Cost ◽  
Evolution Game

“low carbon economy” puts forward new requirements for carbon emission reduction in all links of the supply chain. This paper takes the three-level clothing supply chain composed of government, supplier and manufacturer as the research object, considering the “free riding behavior” of clothing supplier and manufacturer, by constructing the three-party evolutionary game model, using the replication dynamic equation to analyze the evolution process of the three actors, and studies the influence of parameter change on the strategy selection of each agent. Finally, the simulation is carried out by Matlab. The results show that the strategies are affected by the government’s punishment, the “free ride” revenue of suppliers and manufacturers, and the cost of carbon emission reduction investment. Finally, based on the analysis results, some suggestions are put forward for enterprises to invest in carbon emission reduction.

Sign in / Sign up

Export Citation Format

Share Document