2021
DOI: 10.1177/0954405420969266
|View full text |Cite
|
Sign up to set email alerts
|

Queuing theory-based optimization research on the multi-objective transportation problem of fourth party logistics

Abstract: Fourth party logistics is an urgent need for economic and social development, and its research focuses on path optimization. Comprehensively considering the choice of third party logistics suppliers, routes, and transportation modes, this study proposes a multi-objective transportation optimization model based on queuing theory, which minimizes cost, time, and carbon emissions. In addition, to solve the problems of infeasible solutions in fourth party logistics route optimization (4plrp), a priority-random bas… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
8
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(8 citation statements)
references
References 32 publications
0
8
0
Order By: Relevance
“…However, at present, few people use the multiobjective optimization model to study the performance distribution. At the same time, we also note that the optimal performance distribution scheme not only depends on the e ective aggregation of index scores at all levels but also is related to many factors such as the individual di erences of the appraisees and the requirements of basic workload [3]. Inspired by the research work, this paper mainly studies the application of a multiobjective optimization model in the optimal performance allocation problem.…”
Section: Introductionmentioning
confidence: 99%
“…However, at present, few people use the multiobjective optimization model to study the performance distribution. At the same time, we also note that the optimal performance distribution scheme not only depends on the e ective aggregation of index scores at all levels but also is related to many factors such as the individual di erences of the appraisees and the requirements of basic workload [3]. Inspired by the research work, this paper mainly studies the application of a multiobjective optimization model in the optimal performance allocation problem.…”
Section: Introductionmentioning
confidence: 99%
“…Optimizing theoretical teaching is the best solution in the process of a teaching organization. Hong et al proposed a multiobjective transportation optimization model [6]. Wang et al proposed the Beetle Swarm Optimization (BSO) algorithm [7].…”
Section: Introductionmentioning
confidence: 99%
“…In this study, we use the priority-random coding method that was proposed by Hong et al [43], which guarantees that any path that is obtained by decoding corresponds to a complete path from the origin to the destination in a given intermodal network. The method first assigns a number to each of all the nodes, followed by a priority (a non-repeating integer from 1 to n) to each and uses the priority sequence as decision variables.…”
Section: Coding Rule and The Choice Of Crossover And Variational Oper...mentioning
confidence: 99%