2021
DOI: 10.1016/j.asoc.2021.107685
|View full text |Cite
|
Sign up to set email alerts
|

A multi-objective two-echelon location-routing problem for cash logistics: A metaheuristic approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 21 publications
(7 citation statements)
references
References 49 publications
0
5
0
Order By: Relevance
“…Some articles, besides costs, consider the minimization of external costs as well [34][35][36]. Objective functions that were less frequently considered in the literature are the minimization of service duration time [27], profit maximization [37], resource utilization rate maximization [38], demand coverage maximization [39], customer satisfaction maximization [40], risk minimization [41], etc. Articles that consider more than two objective functions are generally less frequent [39,40].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Some articles, besides costs, consider the minimization of external costs as well [34][35][36]. Objective functions that were less frequently considered in the literature are the minimization of service duration time [27], profit maximization [37], resource utilization rate maximization [38], demand coverage maximization [39], customer satisfaction maximization [40], risk minimization [41], etc. Articles that consider more than two objective functions are generally less frequent [39,40].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Gandra et al [ 43 ] investigated the impact of loading restrictions on the two-echelon location-routing problem. Fallahtafti et al [ 44 ] presented a multi-objective two-echelon location-routing problem for cash logistics to reduce the risk of theft while transporting cash and solved the problem using meta-heuristic approaches. Bassey and Zelibe [ 45 ] suggested a mixed integer nonlinear programming model for the problem of two-echelon inventory location model with response time requirement and lateral transshipment.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Moreover, a new multi-objective hybrid genetic algorithm incorporated with some new heuristics and operators is developed. Fallahtafti et al [14] suggested a locationrouting framework with two objectives based on risk and the cost of transport and to solve it they used various precise and metaheuristic methods.…”
Section: Literature Reviewmentioning
confidence: 99%