Towards Smart Urban Freight Distribution Using Fleets of Modular Electric Vehicles

Rezgui, Dhekra; Siala, Jouhaina Chaouachi; Bouziri, Hend

doi:10.1007/978-3-319-74500-8_55

Cited by 11 publications

(2 citation statements)

References 10 publications

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“…The equations of the model are further implemented and tested on real instances in the experimental section. Indeed, although metaheuristics [43][44][45][46] and especially hybrid ones [47,48] are effective and fast for solving complex problems such as scheduling and transportation ones, we want here to have a comparative experimentation with an exact resolution [49,50] to find the optimal solution of each of the customer-oriented DARP instances foreseen. This exact resolution will be compared to the new evolutionary method which is proposed to solve the problem.…”

Section: Mathematical Formulation Of the Customer-oriented Darpmentioning

confidence: 99%

An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems

Nasri

Bouziri

2022

Sustainability

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This paper is addressing a new class of on-demand transport problems oriented toward customers. A mixed-integer linear programming model is proposed with new effective constraints that contribute to enhancing the quality of service. An exact resolution has been achieved, leading to lower bounds of the solution space of real cases of on-demand transport problems. To overcome the exponential computational time of the exact resolution, an evolutionary descent method is developed. It relies on a new operator for perturbing the search. The comparative results between the new method and the branch and bound show low gaps for almost all the instances tested with lower execution times. The results of the evolutionary descent method are also compared with the results of two different heuristics, namely a Tabu Search and an Evolutionary Local Search. Our evolutionary method demonstrates its effectiveness through competitive and promising results.

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Section: Mathematical Formulation Of the Customer-oriented Darpmentioning

confidence: 99%

An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems

Nasri

Bouziri

2022

Sustainability

Self Cite

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“…Compared with the previous group, mathematical modeling in here is mainly used for routing and scheduling problems to optimize deliveries regarding distinct distribution innovations, such as EVs (Koh ani et al, 2017), modular E-vehicles (Rezgui et al, 2018) and robotic vehicles (Yu and Lam, 2017), assess the usage of cargo bikes in last-mile delivery (Melo and Baptista, 2017;Choubassi et al, 2016) or evaluate the viability and existing issues of public transit logistics in the transshipment transportation process (Gonzalez-Feliu, 2016b;Behiri et al, 2018). These findings imply that the quantitative research of distribution Country City…”

Section: Sustainabilitymentioning

confidence: 99%

The challenges in sustainability of urban freight network design and distribution innovations: a systematic literature review

2020

IJPDLM

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PurposeFreight network planning and the application of distribution innovations are popular fields of research on sustainable urban logistics. However, considerable research on freight network design lacks a comprehensive consideration of the application of distribution innovations. This observation implies that sustainable urban freight research appears highly fragmented in topics of network design and distribution innovations. From the perspective of long-term planning, this situation possibly serves as a barrier to further promotion of sustainability. The objective of this paper is to analyze existing research gaps of literature to further promote the sustainability of urban logistics systems from a future perspective.Design/methodology/approachThis paper employs a systematic literature review (SLR) method, which covers 164 papers and research works published in 2013–2018. The article corpus involved the innovative schemes of freight network design and the emerging delivery concepts in cities. Based on an analysis of articles' relevance, the most significant research contributions on both city logistics network design and exploitation of distribution innovations are detected.FindingsThis paper has found four research gaps in aspects of network design and distribution innovations. To respond to these gaps, we propose the research framework of sustainable and flexible future urban freight planning (SFFUFP) based on trends of city development, while discussing further research direction on urban freight planning.Originality/valueThe authors have found four research gaps in aspects of both urban freight network design and distribution innovations in which scholars could be encouraged to contribute. The research framework of SFFUFP can further promote sustainable urban logistics from a view of future management.

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An Evolutionary Variable Neighborhood Descent for Addressing an Electric VRP Variant

Rezgui

Bouziri

Siala

2019

Variable Neighborhood Search

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Towards Smart Urban Freight Distribution Using Fleets of Modular Electric Vehicles

Cited by 11 publications

References 10 publications

An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems

An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems

The challenges in sustainability of urban freight network design and distribution innovations: a systematic literature review

An Evolutionary Variable Neighborhood Descent for Addressing an Electric VRP Variant

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