Community logistics: a dynamic strategy for facilitating immediate parcel delivery to smart lockers

Leung, Eric Ka Ho; Ouyang, Zhiyuan; Huang, George Q.

doi:10.1080/00207543.2022.2073480

Cited by 13 publications

(1 citation statement)

References 41 publications

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“…Addressing these challenges requires innovative solutions such as alternative fuel vehicles [8], route optimization algorithms [9], and collaborative delivery models [10] to minimize costs and ecological footprints while ensuring timely and sustainable last-mile delivery services [11]. The implementation of smart lockers [12] that function as autonomous pick-up or collecting locations, where the client uses an optional electronic code to access the locker and acquire a package, is one solution offered for lowering the high expenses and incorrect location of inventory in the last mile of business to consumer (B2C) and business to business (B2B) deliveries [13]. An automated smart locker system [14] is a secure storage unit equipped with electronic controls for receiving, storing and dispensing packages or goods.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

Sawik

2024

Logistics

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Background: This publication presents a review, multiple criteria optimization models, and a practical example pertaining to the integration of automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. This publication addresses challenges in logistics and transportation, aiming to enhance efficiency, reduce costs and improve customer satisfaction. This study integrates automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. Methods: A review of the existing literature synthesizes key concepts, such as facility location problems, vehicle routing problems and the mathematical programming approach, to optimize supply chain operations. Conceptual optimization models are formulated to solve the complex decision-making process involved in last-mile delivery, considering multiple objectives, including cost minimization, delivery time optimization, service level minimization, capacity optimization, vehicle minimization and resource utilization. Results: The multiple criteria approaches combine the vehicle routing problem and facility location problem, demonstrating the practical applicability of the proposed methodology in a real-world case study within a logistics company. Conclusions: The execution of multi-criteria models optimizes automated smart locker deployment, capillary distribution design, crowdshipping and last-mile delivery strategies, showcasing its effectiveness in the logistics sector.

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