Consistent Routing and Scheduling with Simultaneous Pickups and Deliveries

Emadikhiav, Mohsen; Bergman, David; Day, Robert W.

doi:10.1111/poms.13200

Cited by 8 publications

(3 citation statements)

References 61 publications

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“…These findings agree with the literature. According to Emadikhiav et al (2020), more consistent schedules can be obtained with a modest increase in transportation costs (increase from 1% up to 2.2%). Stavropoulou et al (2019) study the ConVRP with profits and report that improving arrival time consistency by 60% results in an average increase of 6.18% in the travelling costs.…”

Section: Cost Of Arrival Time Consistencymentioning

confidence: 99%

The Consistent Vehicle Routing Problem with heterogeneous fleet

Stavropoulou

2022

Computers & Operations Research

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Section: Cost Of Arrival Time Consistencymentioning

confidence: 99%

The Consistent Vehicle Routing Problem with heterogeneous fleet

Stavropoulou

2022

Computers & Operations Research

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“…2020), inventory deployment, and route‐dispatch decisions (Dayarian and Savelsbergh 2020, Emadikhiav et al. 2020). Another approach, at least as powerful, focuses on influencing demand as a way to enhance system performance.…”

Section: Introductionmentioning

confidence: 99%

“…Companies have typically focused on reducing inefficiencies through supply-side process improvements related to network design (de Vries et al 2020), inventory deployment, and route-dispatch decisions (Dayarian and Savelsbergh 2020, Emadikhiav et al 2020).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Green Labels on Time Slot Choice and Operational Sustainability

Agatz

Fan

Stam

2021

Production and Operations Management

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In this paper, we study the effectiveness of incentives on delivery service time slot choices. In particular, we focus on the use of green labels that specify time slots as environmentally friendly and that intrinsically motivate customers to choose a specific delivery time slot in lieu of price incentives based on extrinsic motivation. We argue that this is important since green labels’ intrinsic nature affects costumer choice in fundamentally different ways than price incentives. We conduct two experiments and two simulation studies to study the effects of using green labels. Our experimental findings suggest that: (i) green labels are an effective tool to steer shoppers toward a certain delivery option, (ii) green labels are more effective for people who are more eco‐conscious, (iii) green labels remain effective in the presence of price incentives, while price incentives offer little added value beyond that of just green labels, and (iv) the effectiveness of green labels vs. price discounts remains high when time slots are less appealing (i.e., longer). Our simulation findings suggest that green slots, compared to price incentives or no incentives, offer providers a way to effectively steer consumer time slot choices to yield shorter routes, fewer delivery vehicles used, and more per‐customer revenue. We thus conclude that steering individuals to select delivery time slots through intrinsic motivation via green labels may be a promising, no‐cost direction for (online) retailers and an important topic for further research.

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Consistent routing for local same-day delivery via micro-hubs

Ackva,

Ulmer

2023

OR Spectrum

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An increasing number of local shops offer same-day delivery in order to compete with the online giants. However, the distribution of parcels from individual shops to customers reduces the rare consolidation opportunities in the last mile even further. Thus, shops start collaborating on urban same-day delivery by using shared vehicles and micro-depots for consolidated transportation of parcels. At this, many stakeholders (storekeepers, drivers, and customers) need to be coordinated. Consistent routes between micro-hubs simplify the distribution process and increase reliability for all stakeholders involved. The shared vehicles thus conduct consistent daily routes between micro-hubs in the city, serving as transshipment and consolidation centres. This allows stores to bring orders to the next micro-hub, where the parcel is picked up by a vehicle and delivered to the micro-hub closest to its destination—if it is feasible with respect to the vehicle’s consistent daily schedule. Creating effective schedules is therefore very important. The difficulty of finding an effective consistent route is amplified by the daily uncertainty in order placements. We model the problem as a two-stage stochastic program. While the first stage determines the vehicle schedules, the second stage optimises the flow of realised orders. The goal is to satisfy as many orders per day as possible with the shared vehicles. We propose a time-expanded network formulation of the problem which is solved to optimality using commercial MIP-software. We assess our model against a non-consistent upper bound and a practically-inspired heuristic to evaluate the cost of consistency and the consolidation of goods. We analyse the performance of our method for a variety of instance settings. We observe that collaborative delivery via micro-hubs is worthwhile for delivery time promises of two hours or more. Noticeably, for these service promises, the costs of consistency are surprisingly low.

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Consistent Routing and Scheduling with Simultaneous Pickups and Deliveries

Cited by 8 publications

References 61 publications

The Consistent Vehicle Routing Problem with heterogeneous fleet

The Consistent Vehicle Routing Problem with heterogeneous fleet

The Impact of Green Labels on Time Slot Choice and Operational Sustainability

Consistent routing for local same-day delivery via micro-hubs

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