Vehicle routing optimization of urban distribution with self-pick-up lockers

Wen, Jing; Li, Yisong

doi:10.1109/liss.2016.7854384

Cited by 9 publications

(13 citation statements)

References 4 publications

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“…the time spent by the driver to perform all the activities. It is the sum of three components: Delivery time (Wen and Li, 2016), i.e. the time needed for the physical delivery of the products once the transport mean has arrived to the destination.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…In home delivery, it implies waiting for the customer to come, sign and collect the product. It may decrease with a higher degree of automation of delivery activities [D] (−) (Wen and Li, 2016). Problem solving time (Dorling et al , 2017), i.e.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…Delivery time (Wen and Li, 2016), i.e. the time needed for the physical delivery of the products once the transport mean has arrived to the destination.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…The customers are able to retrieve their parcel using a one-time password, barcode or QR code. They mainly impact on: probability of failed delivery [H] (−), as it happens for reception boxes (a delivery fails in case the customer does not retrieve the parcel within the allowed time-window or if the retailer/provider misses the agreed time-window) (Wang et al , 2018); customer density [G] (+), due to aggregation of orders coming from different customers in the same location (Giuffrida et al , 2012); delivery automation [D] (+) because the parcel is delivered in the box, and the customer does not need to sign (Wen and Li, 2016); and delivery–home distance [I] (+), since – differently from home delivery – customers need to move to reach the lockers where the parcels are stored (Chen et al , 2018). Pick-up points – they are places that provide storage/delivery services: after goods have been delivered, customers can go there to pick them up.…”

Section: Review Of the Literaturementioning

confidence: 99%

See 3 more Smart Citations

Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review

Mangiaracina

Perego

Seghezzi

et al. 2019

IJPDLM

229

135

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Purpose The purpose of this paper is twofold: first, to review and classify scientific publications dealing with those innovative solutions aimed at increasing the efficiency of last-mile delivery in business to consumer (B2C) e-commerce; and, second, to outline directions for future research in this field. Design/methodology/approach The review is based on 75 papers published between 2001 and 2019 in international peer-reviewed journals or proceedings of conferences, retrieved from bibliographic databases and science search engines. Findings Due to its importance in affecting the overall logistics costs and, as a consequence, the economic sustainability of a B2C e-commerce initiative, last-mile delivery process deserves particular attention in order to be optimised. The review highlights that, among the main factors affecting its cost, there are the probability to have failed deliveries, the customer density in the delivery areas and the degree of automation of the process. Innovative and viable last-mile delivery solutions – which may impact the mentioned drivers – include parcel lockers, crowdsourcing logistics, mapping the consumer presence at home and dynamic pricing policies. Eventually, some gaps and areas for further research activities have been identified (e.g. mapping customer behaviour, crowdsourcing logistics). Originality/value This review offers interesting insights to both academics and practitioners. On the academic side, it analyses and classifies relevant literature about innovative and efficiency-oriented last-mile delivery solutions, proposing directions for future research efforts. On the managerial side, it presents a holistic framework of the main factors affecting last-mile delivery cost and of viable innovative solutions that may be implemented to increase efficiency.

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Section: Review Of the Literaturementioning

confidence: 99%

Section: Review Of the Literaturementioning

confidence: 99%

“…Delivery time (Wen and Li, 2016), i.e. the time needed for the physical delivery of the products once the transport mean has arrived to the destination.…”

Section: Review Of the Literaturementioning

confidence: 99%

Section: Review Of the Literaturementioning

confidence: 99%

See 2 more Smart Citations

Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review

Mangiaracina

Perego

Seghezzi

et al. 2019

IJPDLM

229

135

View full text Add to dashboard Cite

show abstract

“…They consider instances with up to 50 lockers and 1500 parcels but they solve to optimality only three instances with 20 lockers and 200 parcels. Wen and Li [16] propose a VRP with soft time windows for last mile delivery and study the impact of the introduction of lockers. The problem aims at minimizing the variable transportation costs, the soft time windows penalty, the CO 2 emission costs, and the fixed cost of labour and vehicles.…”

Section: Literature Reviewmentioning

confidence: 99%

Last mile deliveries with lockers: formulations and algorithms

Buzzega

Novellani

2021

Preprint

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In this paper we consider the use of lockers in parcel delivery, a recent method used in the last mile logistics. Lockers are pick up points made of several cells that are located in several points of a city where customers can collect their parcels as an alternative to home delivery. We study routing problems in which one or multiple vehicles are used to deliver parcels directly to customers or to lockers. We also study the influence of the introduction of lockers when these problems include time windows. We propose a set of novel formulations for these problems, some valid inequalities, and a branch-and-cut algorithm. Moreover, we investigate the difference between the routing problems with lockers and the classical routing problems.

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Last mile deliveries with lockers: formulations and algorithms

Buzzega

Novellani

2022

Soft Comput

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Vehicle routing optimization of urban distribution with self-pick-up lockers

Cited by 9 publications

References 4 publications

Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review

Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review

Last mile deliveries with lockers: formulations and algorithms

Last mile deliveries with lockers: formulations and algorithms

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