Design of a two-echelon freight distribution system in last-mile logistics considering covering locations and occasional drivers

Yu, Vincent F.; Jodiawan, Panca; Hou, Ming-Lu; Gunawan, Aldy

doi:10.1016/j.tre.2021.102461

Cited by 25 publications

(12 citation statements)

References 48 publications

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“…Meanwhile, Li et al (2020) investigated 2E-VRPTW for parcel deliveries in city transportation systems and designed an ALNS algorithm to tackle 2E-VRPTW. Yu et al (2021) studied 2E-VRPTW in a last-mile distribution logistics network. They formulated a mixed-integer linear programming model and proposed an ALNS algorithm to tackle 2E-VRPTW.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Unlike in the LNS algorithm where removal and insertion operations are performed by a single operator, the ALNS algorithm performs removal and insertion operations through a series of operators. The performance of removal and insertion operators is recorded at each iteration, and the well-performed operators have a high probability of being selected in the next iteration ( Jie et al, 2019 , Yu et al, 2021 ). The adaptive adjustment procedure of the ALNS can maintain a balance between intensification and diversification in each search process ( Gu et al, 2019 , Chen et al, 2021 , Mara et al, 2022 ).…”

Section: Constraints On Customersmentioning

confidence: 99%

See 1 more Smart Citation

Emergency logistics network optimization with time window assignment

Wang

Fan

et al. 2023

Expert Systems with Applications

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Section: Literature Reviewmentioning

confidence: 99%

Section: Constraints On Customersmentioning

confidence: 99%

Emergency logistics network optimization with time window assignment

Wang

Fan

et al. 2023

Expert Systems with Applications

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“…Yan et al [16]using GIS/GPS online realtime distribution system to deliver cigarettes can save more time and logistics costs when choosing the route model of dynamic + fixed optimization. Yu et al [17] proposed a new vehicle routing problem, called the two-level vehicle routing problem (2E-VRPTW-Co-OD), with time windows, options, and temporary drivers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Equation (16) shows that the number of refrigerated vehicles required for this distribution task is within the number of vehicles planned by the company. Equation (17) presents that the total distance traveled by a refrigerated vehicle c is within the permitted upper limit D 0 . Equation (18) demonstrates that each customer is only visited once.…”

Section: Optimization Model Of Urban Cold Chain Transportmentioning

confidence: 99%

Optimization of Cold Chain Distribution Route with Mixed Time Window considering Customer Priority

Liu

Zhang

2022

Computational Intelligence and Neuroscience

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In order to study the mixed time window vehicle routing optimization problem based on customer priority, a customer differentiation management strategy based on customer priority is proposed. Combined with the main factors affecting customer priority evaluation and the characteristics of vehicle routing problem with mixed time windows, a comprehensive evaluation index affecting customer priority was first established and DBSCAN clustering algorithm was used for clustering analysis of customer priority to solve the optimization problem of cold chain distribution route considering customer priority. Fuzzy time window of refrigerated vehicles was then constructed with trapezoidal fuzzy number, and a mathematical programming model was built with an objective function for minimizing the sum of fixed, green, penalty, refrigeration, and cargo damage costs. Two scenarios of out-of-stock and not-out-of-stock were designed. Finally, an improved genetic algorithm was used to solve the model, and the rationality of the model was verified through a case of imported fruit distribution in Xiamen City. Results showed that the proposed method can effectively solve the routing problem of refrigerated trucks considering customer priority. Moreover, the findings of this study can provide a new approach for solving the routing optimization problem of refrigerated trucks considering customer priority.

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“…Optimization was performed to minimize the total passenger hours traveled (PHT) to serve total demand by redistributing the road space among modes. Yu et al [22] addressed a new variant of the vehicle routing problem, called the two-echelon vehicle routing problem with time windows, covering options, and occasional drivers. Mancini et al [23] proposed a mixed delivery approach, which combines attended home delivery and f shared delivery location usage innovatively.…”

Section: Introductionmentioning

confidence: 99%

Research on the n-Stage Delay Distribution Method Based on a Compensation Mechanism in a Random Environment

Zhou

2022

Axioms

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With the development of logistics, the delayed distribution problem based on a compensation mechanism has appeared. The core of this problem is to decide whether to delay the distribution at the beginning of each stage and how to compensate the customers if delay occurs. In this paper, beginning with the 2 and 3-stage delay distribution problem, the characteristics and computational complexity of the model are analyzed, and a formal model description of the n-stage problem is given. The expected value and variance are used as the centralized quantization description strategy for random variables, and the expected value model and the generalized expectation value model for solving the delay distribution problem are given. The solution algorithm is given, and the dependence of the single transport cost of each transport vehicle and the penalty for each car delay in a period-of-time distribution are analyzed. Combined with specific examples, theoretical analysis and example calculations show that the formal description model is a good platform for further combinations of solution methods. This method extends the general delayed distribution problem to multi-stage delayed distribution, which has guiding significance for decision-makers. The proposed model has solid system structure features and interpretability, and could be used in a wide variety of applications.

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Design of a two-echelon freight distribution system in last-mile logistics considering covering locations and occasional drivers

Cited by 25 publications

References 48 publications

Emergency logistics network optimization with time window assignment

Emergency logistics network optimization with time window assignment

Optimization of Cold Chain Distribution Route with Mixed Time Window considering Customer Priority

Research on the n-Stage Delay Distribution Method Based on a Compensation Mechanism in a Random Environment

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