具有产品退货功能的线上线下一体化分销系统的分店定价算法

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Intelligent Systems Pub Date : 2024-04-24 DOI:10.1155/2024/8880791
Wanchen Jie, Cheng Pei, Jiating Xu, Hong Yan
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引用次数: 0

摘要

本研究确定了一家快速时尚公司采用的双渠道运营模式中的关键低效之处,特别是三个物流配送系统的独立运营。这些系统导致运营成本高、资源利用率低,主要原因是为满足零售店补货、在线客户订单和客户退货需求的不同需求而进行的冗余车辆调度,以及随机和分散的退货请求导致车辆利用率不足。为了应对这些挑战,我们提出了一种针对双渠道销售和配送业务的新型集成物流配送系统设计和管理方法。该方法将三个配送系统整合为一个具有凝聚力的框架,从而简化了配送流程,并通过结合零售和客户访问减少了车辆行程。本文引入了一种优化算法,将库存和配送距离考虑在内,旨在实现零售店库存与在线客户订单配对的全局优化,并统一补货产品、在线产品和退货产品的配送。本文引入了由综合配送系统引起的车辆路由问题(VRP)的新变体,将常见的 VRP 问题与更复杂的挑战相结合,为该领域做出了贡献。我们开发了一种定制的分支加价格(B&P)算法,以有效地找到最优路线。此外,我们还通过实际数据分析和评估退货率和库存条件等各种因素,证明了集成系统相对于传统隔离系统的优势。这项研究还通过允许零售店之间的库存转移、改善库存分配平衡以及为库存水平极低的情况提供解决方案,对模型进行了改进。我们的研究结果表明,与独立的两阶段和三阶段系统相比,使用综合配送系统可大幅降低总运营成本,最高可节省 49.9% 的成本和车辆使用率。集成方法能够利用空闲的车辆空间,动态选择和组合任务,防止不必要的里程和空间浪费。值得注意的是,零售店之间库存共享的整合已被证明是在库存紧张的条件下产生可行解决方案、降低运营成本和车辆数量的关键因素,其优势在大规模问题实例中得到了放大。
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A Branch-and-Price Algorithm for an Integrated Online and Offline Retailing Distribution System with Product Return

This study identifies critical inefficiencies within a dual-channel operation model employed by a fast fashion company, particularly the independent operation of three logistics distribution systems. These systems result in high operational costs and low resource utilization, primarily due to redundant vehicle dispatches to meet the distinct demands of retail store replenishment, online customer orders, and customer return demands, as well as random and scattered return requests leading to vehicle underutilization. To address these challenges, we propose a novel integrated logistics distribution system design and management method tailored for dual-channel sales and distribution businesses. The approach consolidates the three distribution systems into one cohesive framework, thus streamlining the delivery process and reducing vehicle trips by combining retail and customer visits. An optimization algorithm is introduced to factor in inventory and distribution distance, aiming to achieve global optimization in pairing retail store inventory with online customer orders and unifying the distribution of replenishment products, online products, and returned products. The paper contributes to the field by introducing a new variation of the Vehicle Routing Problem (VRP) that arises from an integrated distribution system, combining common VRP issues with more complex challenges. A custom Branch-and-Price (B&P) algorithm is developed to efficiently find optimal routes. Furthermore, we demonstrate the benefits of the integrated system over traditional, segregated systems through real-world data analysis and assess various factors including return rates and inventory conditions. The study also enhances the model by allowing inventory transfers between retail stores, improving inventory distribution balance, and offering solutions for scenarios with critically low inventory levels. Our findings highlight a significant reduction in total operating cost savings of up to 49.9% and vehicle usage when using the integrated distribution system compared to independent two-stage and three-stage systems. The integrated approach enables the utilization of vacant vehicle space and the dynamic selection and combination of tasks, preventing unnecessary mileage and space wastage. Notably, the integration of inventory sharing among retail stores has proven to be a key factor in generating feasible solutions under tight inventory conditions and reducing operational costs and vehicle numbers, with the benefits amplified in large-scale problem instances.

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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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