Crowd-shipping problem with time windows, transshipment nodes, and delivery options

Yu, Vincent F.; Jodiawan, Panca; Redi, Anak Agung Ngurah Perwira

doi:10.1016/j.tre.2021.102545

Cited by 21 publications

(13 citation statements)

References 43 publications

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“…The authors present a multiperiod simulation study and show the value of customer flexibility by solving the problem heuristically using the savings algorithm, the petal algorithm, and tabu search (TS). Yu et al (2022) integrate not only alternative locations but also the employment and compensation of occasional drivers, a practice commonly referred to as "crowdshipping," into their model. Customers belong to different types that signify the feasibility of the different delivery modes.…”

Section: Free Location Choicementioning

confidence: 99%

Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry

Janinhoff

Klein

Scholz³

2023

OR Spectrum

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To make the last mile of parcel delivery more efficient, service providers offer an increasing number of modes of delivery as alternatives to the traditional and often cost-intensive home delivery service. Parcel lockers and pickup stations can be utilized to reduce the number of stops and avoid costly detours. To design smart delivery networks, service providers must evaluate different business models. In this context, a multitrip vehicle routing problem with delivery options and location-dependent costs arises. We present a data-driven framework to evaluate alternative delivery strategies, formulate a corresponding model and solve the problem heuristically using adaptive large neighborhood search. By examining large, real-life instances from a major European parcel service, we determine the potential and benefits of different delivery options. Specifically, we show that delivery costs can be mitigated by consolidating orders in pickup stations and illustrate how pricing can be applied to steer customer demand toward profitable, eco-friendly products.

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Section: Free Location Choicementioning

confidence: 99%

Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry

Janinhoff

Klein

Scholz³

2023

OR Spectrum

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“…The first examines the recent phenomenon of crowd-sourced logistics engaging daily commuters as crowd-shippers (Le and Ukkusuri, 2019b; Ghaderi et al. , 2022; Yu et al. , 2022).…”

Section: Review Findingsmentioning

confidence: 99%

“…A professional logistics operator may operate this platform, or it may be an add-on module of the existing social media platform utilising the now commonplace location-sharing and communication functions (Devari et al. , 2017; Yu et al. , 2022).…”

Section: Review Findingsmentioning

confidence: 99%

“…Our review study locates two research fields that address social logistics. The first examines the recent phenomenon of crowd-sourced logistics engaging daily commuters as crowd-shippers (Le and Ukkusuri, 2019b;Ghaderi et al, 2022;Yu et al, 2022). Individuals may perform the so-called neighbourhood relay by accepting and delivering assignments to people living in the same neighbourhood (Akeb et al, 2018).…”

Section: Incentive/friendly Social Logistics: Logistics Work Under Th...mentioning

confidence: 99%

“…Related to the first research field of crowd-based neighbour relay or social delivery, we found that individuals are connected community members via a technologybased platform. A professional logistics operator may operate this platform, or it may be an add-on module of the existing social media platform utilising the now commonplace locationsharing and communication functions (Devari et al, 2017;Yu et al, 2022). Related to the second field of community-initiated recycling and delivery, the relevant research suggests a logistics triad consisting of individuals-LSPs-community (sometimes also involving the local municipality).…”

Section: Logistics Work Beyond Formal Employmentmentioning

confidence: 99%

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Towards a typology of logistics “work” beyond formal employment: a synthesised literature review

Wang,

Yuen

2023

IJPDLM

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PurposeLogistics at work is rapidly changing. The changing trend is especially prominent when considering the active involvement of individuals that perform diverse forms of formal/informal “logistics work” (e.g. crowd logistics and self-collection). Thus, by conducting a synthesised review (n = 55), this study aims to provide a typology of individuals' logistics work.Design/methodology/approachThe total social organisation of labour is used as a guiding framework. A deductive literature analysis is performed based on the identified journal articles.FindingsThe review findings reveal three major contexts where individuals perform logistics work: formal organisation, social community and private household, with a decreased level of formality. Under each context, individuals may be engaged in paid or unpaid activities, creating six forms of logistics work, termed as paid/voluntary professional logistics, incentivised/friendly social logistics and rewarded/free consumer logistics. Furthermore, an actor–sphere–resource–value conceptualisation of individual logistics is proposed, focussing on the chains of actors, work settings, resource input and value outcome.Originality/valueThe results provide a theoretical foundation for further research in individual- or consumer-centrism in logistics. Two research directions and seven research questions are presented for future investigation.

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Public transport crowdshipping: moving shipments among parcel lockers located at public transport stations

Wyrowski,

Boysen,

Briskorn

et al. 2024

OR Spectrum

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In view of success stories of unicorn startups from the sharing and gig economy such as Airbnb, DiDi, or Uber, it is not surprising that postal service providers try to transfer the sharing idea toward their last-mile delivery services: owners of under-used assets (here private crowdshippers traveling anyway) are connected with users willing to pay for the use of these assets (here postal service providers having to deliver parcels). In this paper, we consider a special form of crowdshipping where public transport users, steered by a smartphone app, pick up parcels from parcel lockers, take these shipments with them on their subway rides, and deposit these parcels into other lockers. Finally, the actual recipients can pick up their shipments from their most convenient parcel lockers, e.g., on their own way back home from work. We formulate the optimization problem that matches crowdshipping demand and supply and determines the routes along lockers and crowdshippers each parcel takes. Specifically, we allow that each parcel is moved by multiple cooperating crowdshippers and solve this problem with different objective functions capturing the individual aims of the main stakeholders: shippers, crowdshippers, recipients, and the platform provider. We evaluate the relationship of these objectives and quantify the efficiency loss of a more restricted matching policy, where only a single crowdshipper can be assigned to each parcel’s complete path between origin and destination. Finally, we also explore the impact of delays and investigate whether specific objectives protect against unforeseen events.

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Crowd-shipping problem with time windows, transshipment nodes, and delivery options

Cited by 21 publications

References 43 publications

Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry

Multitrip vehicle routing with delivery options: a data-driven application to the parcel industry

Towards a typology of logistics “work” beyond formal employment: a synthesised literature review

Public transport crowdshipping: moving shipments among parcel lockers located at public transport stations

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