Multi-period two-echelon location routing problem for disaster waste clean-up

Cheng, Cheng; Zhu, Rui; Costa, Alysson M.; Thompson, Russell G.; Huang, Xian

doi:10.1080/23249935.2021.1916644

Cited by 17 publications

(2 citation statements)

References 40 publications

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“…Furthermore, they introduced an NSGA-II algorithm enhanced with directed local search to effectively solve this model. Cheng et al, [5] presented a model in their study that aims to minimize both the cost and the duration of natural disaster debris cleanup. The researchers carefully considered utilizing temporary sites for debris management to achieve this goal.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a Fuzzy Mathematical Model for a Two-Echelon Allocation-Routing Problem by Applying Route Conditions: A New Interactive Fuzzy Approach

Yadegari,

Molana,

Kashan

et al. 2024

Decis. Mak. Appl. Manag. Eng.

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In vehicle routing problems (VRP), the optimal allocation of transportation by considering factors such as route hardness, driver experience and vehicle worn-out has a significant effect on costs reduction and approaching real-world conditions. In this paper, a novel fuzzy mixed integer non-linear mathematical model to address the two-echelon allocation-routing problem under uncertainty is proposed by applying route and fleet conditions. The cost of allocating drivers to diverse vehicles is computed at the first echelon of the problem, considering factors such as vehicle type, vehicle wear-out, and driver experience. Additionally, different routes are defused with varying levels of hardness. The goal of the second echelon of the model is to improve reliability by defining the reliability of routes within each section. To solve the model, the Torabi and Hessini (TH), the Selimi and Ozkarahan (SO) methods, and a newly proposed approach (PIA) were utilized to transform the multi-objective model into a single-objective one. Numerical tests and performance indicators were used to validate the effectiveness of both the multi-objective mathematical model and the proposed solution method. The validation computation results indicate that the proposed solution approach outperforms both the TH and SO approaches.

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Section: Literature Reviewmentioning

confidence: 99%

Designing a Fuzzy Mathematical Model for a Two-Echelon Allocation-Routing Problem by Applying Route Conditions: A New Interactive Fuzzy Approach

Yadegari,

Molana,

Kashan

et al. 2024

Decis. Mak. Appl. Manag. Eng.

View full text Add to dashboard Cite

show abstract

“…This section provides an analysis on the corresponding algorithm, which solves the above proposed bi-level decision model based on goal programming. A hybrid genetic algorithm (HGA) embedded with the method of successive average (MSA) is given based on the characteristic of proposed model [50,[52][53][54][55][56].…”

Section: Solving Algorithmmentioning

confidence: 99%

An Optimization Model of a Sustainable City Logistics Network Design Based on Goal Programming

Liang

Wang

et al. 2021

Sustainability

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This paper investigates the joint optimization problem on the logistics infrastructure investment and CO2 emission taxes for a sustainable city logistics network design by a goal programming approach where the cost recovery, service level and CO2 emission reduction goals are involved. The above multi-objective logistics infrastructure capacity investment and CO2 emission taxes problem is formulated as a bi-level goal programming model. Given the priority structure of the goals, the total deviations from predetermined goals are minimized in the upper level, while the lower level of the model serves as the service route choice equilibrium problem of logistics users. To solve the proposed model, a genetic algorithm is developed, where the method of successive average (MSA) is embedded. The case study focusing on the urban logistics network of Changsha, China demonstrates the effectiveness of the bi-level goal programming model and the genetic algorithm. The findings reveal that the priority rankings of the goals have a significant impact on the joint decisions of CO2 emission taxes and logistics infrastructure capacity investment. The proposed methodology provides an avenue to balance multiple conflicting objectives and obtain an economical and environmental city logistics network.

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The stochastic location-routing-inventory problem of perishable products with reneging and balking

Aghighi

Goli

Malmir

et al. 2021

J Ambient Intell Human Comput

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The transport of perishable products is in need of specific control and safety operations, either due to their short shelf life or their particular storage circumstances. This study investigates an extended Location-routing-inventory problem (LRIP) for perishable products, in which a two-phase hybrid mathematical model is developed. In the first phase, the location-routing problem (LRP) is formulated with stochastic demands and travel time, and then in the second phase, a queue system is employed to model the inventory control problem based on the established locations and routes. Moreover, the effects of reneging and balking behaviors are studied in the second phase, and hereby, holding, shortage, product expiration, customer waiting times, and customer loss costs are calculated. To tackle the complexity of the problem, an improved genetic algorithm (IGA) is designed and is compared with the classic genetic algorithm (GA) and GAMS software. Finally, two small and large-sized illustrative examples and then different problem instances are taken into account to test the applicability of the suggested methodology. The obtained results demonstrate that the developed methodology of the research has an appropriate performance to deal with the high complexity of the problem.

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Multi-period two-echelon location routing problem for disaster waste clean-up

Cited by 17 publications

References 40 publications

Designing a Fuzzy Mathematical Model for a Two-Echelon Allocation-Routing Problem by Applying Route Conditions: A New Interactive Fuzzy Approach

Designing a Fuzzy Mathematical Model for a Two-Echelon Allocation-Routing Problem by Applying Route Conditions: A New Interactive Fuzzy Approach

An Optimization Model of a Sustainable City Logistics Network Design Based on Goal Programming

The stochastic location-routing-inventory problem of perishable products with reneging and balking

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