Annarita De Maio

Orcid: 0000-0002-4650-3362

According to our database1, Annarita De Maio authored at least 13 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Analysis of in-store crowdshipping in a stochastic dynamic pickup-and-delivery system.
Central Eur. J. Oper. Res., September, 2025

Sustainable risk mitigation in hazardous material transportation.
Comput. Oper. Res., 2025

A Stochastic Location-Routing Problem for the Optimal Placement of Lockers.
Proceedings of the 14th International Conference on Operations Research and Enterprise Systems, 2025

2023
An age-based dynamic approach for distribution of perishable commodities with stochastic demands.
Soft Comput., June, 2023

Correction to: Unbiased decision making in location-routing problems with uncertain customer demands.
Soft Comput., 2023

Unbiased decision making in location-routing problems with uncertain customer demands.
Soft Comput., 2023

Inventory management and delivery of perishable products with stochastic demands and risks consideration.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Balancing Risks and Monetary Savings When the Crowd is Involved in Pickups and Deliveries.
Proceedings of the Innovative Intelligent Industrial Production and Logistics, 2023

An Urban-Scale Application of the Problem of Designing Green Tourist Trips with Time Windows.
Proceedings of the Operations Research and Enterprise Systems, 2023

The Green Tourist Trip Design Problem with Time Windows: A Model Application on a Urban Scale.
Proceedings of the 12th International Conference on Operations Research and Enterprise Systems, 2023

2022
A structural equation model for analysing the determinants of crowdshipping adoption in the last-mile delivery within university cities.
Int. J. Appl. Decis. Sci., 2022

2021
A pick-up and delivery problem for logistics e-marketplace services.
Optim. Lett., 2021

Arc routing under uncertainty: Introduction and literature review.
Comput. Oper. Res., 2021


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