Abstract

Carbon emission constraints and trading policies in e-commerce environments have brought huge challenges to the operation of supply chain enterprises. In order to ensure the good operation of the e-commerce supply chain in a low-carbon environment, a supply chain scheduling optimization method based on integration of production and transportation with carbon emission constraints is proposed; we use it to analyze the impact of centralized decision-making mode and decentralized decision-making mode on supply chain scheduling and establish a scheduling optimization model that aims at optimal carbon emissions and costs. A multilevel genetic algorithm was designed according to the characteristics of the model, and numerical examples are used to verify the effectiveness of the model and algorithm. The results show that the centralized decision-making mode plays the role of the carbon emission constraints to the greatest extent; the carbon emissions and the cost are smallest in the centralized decision-making mode. The decentralized decision-making mode leads to the overall cost preference of the supply chain due to separate decisions made by enterprises, and the carbon emissions in the supply chain are greater. Transportation experts, business managers and government departments are interesting for integrated production and transportation scheduling in e-commerce supply chain with carbon emission constraints. Further research should address integrated production and transportation scheduling in dual-channel low supply chains.

Highlights

  • In the e-commerce environment, in order to maximize customer demand and effectively reduce costs, the integration of production and transportation is widely adopted in supply chain enterprises

  • Kim et al [28] analyzed the influence of carbon emission constraint on chain supply on the choice of transportation modes; the VRP model was established with the minimum carbon emission as the objective function, and a path construction algorithm was designed to solve the problem

  • In the decentralized decision-making mode of the supply chain, manufacturers and suppliers make plans based on their own scheduling strategies, so manufacturers and suppliers each have carbon emission constraints, namely E M and ES

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Summary

Introduction

In the e-commerce environment, in order to maximize customer demand and effectively reduce costs, the integration of production and transportation is widely adopted in supply chain enterprises. Adapting to the development of e-commerce, production and transportation in supply chain scheduling should keep pace with the goal of carbon emission peak and carbon neutrality. The low operating efficiency of the supply chain has caused it to generate a large number of additional carbon emissions. Improve the decision-making of the company from an optimization perspective, such as the rational design of storage locations, transportation routes and integrated management of carbon emissions in the supply chain. To achieve the goal of reducing carbon emissions, it is necessary to establish a carbon emission allocation mechanism in the supply chain and study the production–distribution integrated scheduling problem of the supply chain from an overall perspective.

Literature Review
Problem
Analysis of Supply Chain Decision Modes Constrained by Carbon Emission Limits
The Optimization Model
The Centralized Decision-Making Mode
The Decentralized Decision Mode
Multilevel Genetic Algorithm Design
Coding Structure of Multilevel Chromosomes
Mutation Operator
Repairing Operator
Calculation of Fitness
Algorithm Termination Principle
Simulation Tests
Simulation Experiment Results
Conclusions
Full Text
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