Composite multi-objective optimization on a new collaborative vehicle routing problem with shared carriers and depots

Zhang, Wenyu; Chen, Zixuan; Wei-rui, Wang; Yang, Shuiqing; Cai, Yishuai

doi:10.1016/j.jclepro.2020.122593

Cited by 24 publications

(7 citation statements)

References 29 publications

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“…For example, the setups of different routing objectives cannot be achieved. In this regard, mathematical models with different or multiple objectives can be used to generate routing decisions with more flexibility ( Zhang et al, 2020 ). As a complex optimization problem ( Laporte, 2009 ), vehicle routing decisions may be calculated through state-of-the-art algorithms to improve computational efficiency.…”

Section: Discussionmentioning

confidence: 99%

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A simulation-based analysis for effective distribution of COVID-19 vaccines: A case study in Norway

Sun

Andoh

2021

Transportation Research Interdisciplinary Perspectives

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Since December 2020, the vaccines from several manufacturers, e.g., Pfizer/BioNTech, Moderna, etc., have been approved for mass vaccination to control the COVID-19 pandemic, which has caused more than 100 million infections and 2.4 million deaths. These vaccines are produced and transported in large quantities to suffice the needs of several countries. Before arriving at the end-users, the vaccines need to be stored at extremely low temperatures and distributed through reliable cold chain logistics networks. Thus, the timely and cost-effective distribution of COVID-19 vaccines via cold chain logistics has become a complex operational challenge. In this paper, we develop a simulation-based approach combining both route optimization and dynamic simulation to improve the logistics performance for COVID-19 vaccine distribution. A state-of-the-art simulation package called anyLogistix is used to perform a real-world case study in Norway. With the data of periodic vaccine demands, customer and warehouse locations, vehicle-related costs and emissions, and expected service levels, implications are obtained based on the analysis of several scenarios. Our experimental results reveal that the service level, cost-effectiveness, environmental performance, and equity of a cold chain vaccine logistics system can be significantly influenced by the fleet size, the fleet composition, the type of vehicle used, and the route optimization. Thus, these factors need to be holistically considered in the planning of an effective COVID-19 vaccine distribution system.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A simulation-based analysis for effective distribution of COVID-19 vaccines: A case study in Norway

Sun

Andoh

2021

Transportation Research Interdisciplinary Perspectives

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“…Further, in MOVRP, two or more objectives are considered to be satisfied. Many techniques have recently been proposed for solving MOVRP, which can be divided into three categories: hierarchical techniques, 17 aggregating approaches, 18 and Pareto methods. 19,20 In hierarchical techniques, different objectives have different weigh.…”

Section: Multi-objective Vehicle Routing Problemmentioning

confidence: 99%

“…Constraint (16) guarantees that the number of outgoing arcs equals the number of incoming arcs at each vertex. Constraint (17) ensures that each vehicle starts and ends both at the base. Constraint (18) ensures that the total number of times to visit each task equal to the number of vehicles the task requires.…”

Section: Mathematical Modelmentioning

confidence: 99%

Improved NSGA-II to solve a novel multi-objective task allocation problem with collaborative tasks

Wang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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From the perspective of practical application, a novel task allocation problem for multi-vehicle systems is proposed. The goal is to allocate an optimal route for each vehicle to execute tasks. The planning result is a comprehensive decision considering the influence of time windows, collaborative tasks, and recharging. This problem is represented as a new extension of the classical vehicle routing problem and a multi-objective integer programming mathematical model is established. The objective functions are the total completion time and total penalty costs. A solution strategy hybridizing non-dominated sorting genetic algorithm-II and variable neighborhood search is proposed, and a feasibility recovery strategy and the concept of the immigrant population are introduced. Finally, the simulation results show that the proposed algorithm can solve the problem effectively and is robust to different complexity scenarios. To illustrate concretely the optimization process, an instance is given in the last.

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“…In addition, there are three objectives with different magnitudes in the optimization model. Considering the solution complexity and decision preference, the weighted sum method is adopted to integrate these three objectives and transform them into one equivalent objective function in this study ( Zhang et al., 2020 ). The weighted sum method could specify weights to obtain more focused solutions ( Kaddani et al., 2017 ).…”

Section: Model Developmentmentioning

confidence: 99%

Integrated multi-item packaging and vehicle routing with split delivery problem for fresh agri-product emergency supply at large-scale epidemic disease context

Jiang

Bian

Liu

2021

Journal of Traffic and Transportation Engineering (English Edit

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Composite multi-objective optimization on a new collaborative vehicle routing problem with shared carriers and depots

Cited by 24 publications

References 29 publications

A simulation-based analysis for effective distribution of COVID-19 vaccines: A case study in Norway

A simulation-based analysis for effective distribution of COVID-19 vaccines: A case study in Norway

Improved NSGA-II to solve a novel multi-objective task allocation problem with collaborative tasks

Integrated multi-item packaging and vehicle routing with split delivery problem for fresh agri-product emergency supply at large-scale epidemic disease context

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