A new bi-objective vehicle routing-scheduling problem with cross-docking: Mathematical model and algorithms

Goodarzi, Asefeh Hasani; Tavakkoli–Moghaddam, Reza; Amini, Alireza

doi:10.1016/j.cie.2020.106832

Cited by 30 publications

(7 citation statements)

References 66 publications

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“…The numerical results show the effectiveness of the proposed algorithm compared to the two multifunctional meta-heuristic algorithms (namely the non-dominant genetic algorithm (NSGA-II) and the Pareto Archived Evolution Strategy (PAES)). Goodarzi et al also report the findings of a hypothetical case study in a retail chain in Houston, Texas [24] .…”

Section: Research Categories Based On the Indexmentioning

confidence: 99%

“…In the study, Goodarzi et al [24] addressed the problem of cross-vehicle vehicle routing, hich considers truck planning, splitting delivery, and delivery orders with time windows at supplier and retailer locations, while it optimizes the opposite goals (i.e., cost efficiency and accountability). The goal is to minimize the total operating cost and the sum of the maximum early and late.…”

Section: Research Categories Based On the Indexmentioning

confidence: 99%

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A review of the sustainability indicators’ application in vehicle routing problem

Taghipour

2023

Build. Eng.

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In today’s competitive market, reducing costs and time is one of the most important issues that has occupied the minds of managers and researchers. With the expansion of industries, almost all businesses need a supply chain management system that is first able to meet the needs of customers and secondly by providing modern solutions to reduce time and cost, have the necessary efficiency to meet the challenges of the logistics industry and the supply chain. This issue is especially important in the field of supply chain management and transportation, because by reducing time and cost, manufacturers and service providers can gain a competitive advantage over competitors. Accordingly, vehicle routing issues are one of the most important issues in this field because it is directly related to the time of service or product delivery and also by optimizing the network, reduces the cost of the entire network. In this research some studies on the issue of sustainability in the transportation network have been discussed, which is a review of previous research in this field.

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Section: Research Categories Based On the Indexmentioning

confidence: 99%

Section: Research Categories Based On the Indexmentioning

confidence: 99%

A review of the sustainability indicators’ application in vehicle routing problem

Taghipour

2023

Build. Eng.

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“…At present, there are many studies [18] in the existing literature on the problem of pick-up and delivery vehicle routing with time windows. Some authors have proposed accurate solution methods for PDVRPTW, and common solution methods include tabu search [19,20], genetic algorithm [21,22], simulated annealing [23,24], ant colony algorithm [25][26][27], and other intelligent algorithms. In addition, some new algorithms have been used to solve this problem.…”

Section: Takeout Deliverymentioning

confidence: 99%

Order Distribution and Routing Optimization for Takeout Delivery under Drone–Rider Joint Delivery Mode

Lu,

Jiang,

et al. 2024

JTAER

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Order distribution and routing optimization of takeout delivery is a challenging research topic in the field of e-commerce. In this paper, we propose a drone–rider joint delivery mode with multi-distribution center collaboration for the problems of limited-service range, unreasonable distribution, high delivery cost, and tight time windows in the takeout delivery process. The model is constructed with the minimum delivery cost and the overall maximum customer satisfaction as the objective function, and a two-stage heuristic algorithm is designed to solve the model. In the first stage, Euclidean distance is used to classify customers into the regions belonging to different distribution centers, and the affinity propagation (AP) clustering algorithm is applied to allocate orders from different distribution centers. The second stage uses an improved tabu search algorithm for route optimization based on specifying the number of rider and drone calls. This paper takes China’s Ele.me and Meituan takeout as the reference object and uses the Solomon data set for research. The experimental results show that compared with the traditional rider delivery mode, the drone–rider joint delivery mode with multiple distribution center collaboration can effectively reduce the number of riders used, lower the delivery cost, and improve the overall customer satisfaction.

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“…Multiobjective methods for vehicle routing and scheduling problems within supply chain problems have been studied recently by Rahbari et al ( 2019 ), Goodarzi et al ( 2020 ), and Shahabi-Shahmiri et al ( 2021 ). A bi-objective MILP model for the vehicle routing and scheduling problem with cross-docking for perishable products has been studied by Rahbari et al ( 2019 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this work, two robust models are developed when the travel time of the outbound vehicles and the freshness-life of the products is uncertain. Goodarzi et al ( 2020 ) address a vehicle routing problem with cross-docking (VRPCD) by considering truck scheduling and splitting pickup and delivery orders with time windows at supplier and retailer locations. Two conflict objectives are considered: minimization of the total operational cost and the sum of the maximum earliness and tardiness.…”

Section: Literature Reviewmentioning

confidence: 99%

Two-stage optimization scheme of routing scheduling from a single distribution center to multiple customers

2023

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This paper proposes a solution scheme for the problem of scheduling deliveries from distribution centers. The solution scheme is developed in two phases. The first phase corresponds to the collection and processing of data, and the second phase includes the design of a customer assignment model based on the data of the first phase. The first phase provides the characteristics of the customers, the number of orders to be dispatched, and the number of visited customers. In the second phase, optimization techniques are used, considering scheduling and assignment problem-solving methodologies. The optimization model provides the correct assignment of customer orders to vehicles, reducing the number of trips and the fleet's size and occupation percentage. The proposed solution scheme is developed with a company operating a distribution center responsible for dispatching vehicles to all retail customers, wholesalers, and distributors in the Province of Concepción, Province of Arauco, and Province of Itata in Chile. The obtained results are prominent and show that the proposed methodology can be extended to companies performing storage, transportation, and distribution tasks with similar characteristics.

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A new bi-objective vehicle routing-scheduling problem with cross-docking: Mathematical model and algorithms

Cited by 30 publications

References 66 publications

A review of the sustainability indicators’ application in vehicle routing problem

A review of the sustainability indicators’ application in vehicle routing problem

Order Distribution and Routing Optimization for Takeout Delivery under Drone–Rider Joint Delivery Mode

Two-stage optimization scheme of routing scheduling from a single distribution center to multiple customers

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