Location-Routing Optimization of Cold Chain Distribution Center Based on Hybrid Genetic Algorithm - Tabu Search

Zheng, Guohua; Liu, Liangxia; Deng, Lichao

doi:10.1061/9780784413623.078

Cited by 9 publications

(9 citation statements)

References 6 publications

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“…The results demonstrated that the hybrid algorithm surpassed the solution efficiency of each algorithm. Zheng et al [37] addressed the temperature variation in the cold chain by using a location-routing problem to optimize the overall expanses. A hybrid version of genetic algorithm and tabu search was used with an efficient encoding scheme.…”

Section: Solution Approaches Towards the Analysis Of Cold Chainsmentioning

confidence: 99%

A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach

et al. 2020

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Cold-chain products are time-sensitive and perishable and pose the risk of failure if they are transported to a distant location. Thus, there is a need to analyze their quality during distribution so that the customers may receive optimal-quality products. To address this issue, this study integrates inspection strategies with the sustainable distribution system of multi-quality multiple-cold-chain products. A bi-objective model of cost and emission is proposed under the constraints of heterogeneous vehicle and time window. Furthermore, this study intends to address the following questions: which inspection strategy helps to ensure the potency of delivered products, and what is the impact of quality differentiation on the value of objective functions? A set of meta-heuristics is used for implementing the model using a rich panel of experiments. The results reveal that the quality conditions of different products impact the solutions of cost and emissions. Moreover, the conformity strategy is more viable, as it results in less cost and ensures that the quantity of delivered products meets the level of demand. Finally, the study provides implications for managers and practitioners to develop a sustainable distribution system to maintain the quality of cold-chain products.

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Section: Solution Approaches Towards the Analysis Of Cold Chainsmentioning

confidence: 99%

A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach

et al. 2020

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“…[45][46][47][48][49] based on VRP and Refs. [50,51] based on LRP, which are the latest papers after 2013, and the earlier works can be seen in the paper of Wang et al (2018) [42].…”

Section: Cold Chain Logisticsmentioning

confidence: 99%

A novel bi-objective model of cold chain logistics considering location-routing decision and environmental effects

Leng

Zhang

et al. 2020

PLoS ONE

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Economic, environmental, and social effects are the most dominating issues in cold chain logistics. The goal of this paper is to propose a cost-saving, energy-saving, and emissionreducing bi-objective model for the cold chain-based low-carbon location-routing problem. In the proposed model, the first objective (economic and environmental effects) is to minimize the total logistics costs consisting of costs of depots to open, renting vehicles, fuel consumption, and carbon emission, and the second one (social effect) is to reduce the damage of cargos, which could improve the client satisfaction. In the proposed model, a strategy is developed to meet the requirements of clients as to the demands on the types of cargos, that is, general cargos, refrigerated cargos, and frozen cargos. Since the proposed problem is NP-hard, we proposed a simple and efficient framework combining seven well-known multiobjective evolutionary algorithms (MOEAs). Furthermore, in the experiments, we first examined the effectiveness of the proposed framework by assessing the performance of seven MOEAs, and also verified the efficiency of the proposed model. Extensive experiments were carried out to investigate the effects of the proposed strategy and variants on depot capacity, hard time windows, and fleet composition on the performance indicators of Pareto fronts and cold chain logistics networks, such as fuel consumption, carbon emission, travel distance, travel time, and the total waiting time of vehicles.

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“…A new discrete particle swarm optimization is introduced to solve the integrated model. Zheng Guohua et al [ 20 ] proposed an optimal location–routing model considering temperature variation among sensitive products for cold chain distribution centers, and, as a solution method, a hybrid genetic algorithm-tabu search was proposed. Shi Zhao and Fu Zhuo [ 21 ] designed a satisfaction degree function according to service time windows and established the simulation model under time-dependent, and introduced the minimum envelope clustering analysis method and tabu search algorithm to solve the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint

Wang

Tao

Shi

2018

IJERPH

131

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In order to solve the optimization problem of logistics distribution system for fresh food, this paper provides a low-carbon and environmental protection point of view, based on the characteristics of perishable products, and combines with the overall optimization idea of cold chain logistics distribution network, where the green and low-carbon location–routing problem (LRP) model in cold chain logistics is developed with the minimum total costs as the objective function, which includes carbon emission costs. A hybrid genetic algorithm with heuristic rules is designed to solve the model, and an example is used to verify the effectiveness of the algorithm. Furthermore, the simulation results obtained by a practical numerical example show the applicability of the model while provide green and environmentally friendly location-distribution schemes for the cold chain logistics enterprise. Finally, carbon tax policies are introduced to analyze the impact of carbon tax on the total costs and carbon emissions, which proves that carbon tax policy can effectively reduce carbon dioxide emissions in cold chain logistics network.

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Location-Routing Optimization of Cold Chain Distribution Center Based on Hybrid Genetic Algorithm - Tabu Search

Cited by 9 publications

References 6 publications

A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach

A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach

A novel bi-objective model of cold chain logistics considering location-routing decision and environmental effects

Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint

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