Hybridizing a matheuristic with ALNS for the optimal collection and delivery of medical specimens
Abstract The past few years of the COVID‐19 pandemic outbreak have shown that optimal management of medical specimens is a key aspect of healthcare logistics, both for addressing the delivery of perishable items such as vaccines, and for ensuring the timely analysis of swabs and samples. Accordingly, recent optimization literature described the problem
Daniele Ferone +3 more
wiley +1 more source
Trends and Advances in Urban Logistics Research: A Systematic Literature Review
It is important to establish appropriate performance indicators so that decision‐makers can better determine the best alternatives for sustainable urban freight distribution systems. This literature about urban logistics and routing problems is structured and analyzed through a systematic literature review of a total of 201 papers from 2002 to 2023 ...
Angie Ramírez-Villamil +3 more
wiley +1 more source
A discrete-event simheuristic for enhancing urban mobility
This paper addresses a rich variant of the team orienteering problem under uncertainty to improve urban mobility. Specifically, we conduct a case study using real-world data from urban transportation hubs in Barcelona, gathered from Open Data Barcelona.
Peyman, Mohammad +3 more
openaire +3 more sources
Simheuristics for Strategic Workforce Planning at a Busy Airport
Airport demand frequently exceeds capacity. An airport’s capacity bottleneck is often located in its runway system. Other times, it is elsewhere, including the terminal facilities. At one of the busiest UK airports, the subject of this study, the bottleneck is located in the passenger security hall, where staff are employed directly by the airport ...
Johanna Wiesflecker +2 more
openaire +3 more sources
A Forward–Backward Simheuristic for the Stochastic Capacitated Dispersion Problem
In an effort to balance the distribution of services across a given territory, dispersion and diversity models typically aim to maximize the minimum distance between any pair of facilities. Specifically, in the capacitated dispersion problem (CDP), each facility has an associated capacity or level of service, and the objective is to select a set of ...
Juan F. Gomez +4 more
openaire +6 more sources
A variable neighborhood search simheuristic for project portfolio selection under uncertainty [PDF]
With limited financial resources, decision-makers in firms and governments face the task of selecting the best portfolio of projects to invest in. As the pool of project proposals increases and more realistic constraints are considered, the problem becomes NP-hard.
Javier Panadero +4 more
openaire +6 more sources
Artificial intelligence (AI) and machine learning (ML) are increasingly important in financial technology (FinTech) applications involving large datasets, uncertainty, and complex decision-making.
Basel Abudari +2 more
doaj +1 more source
Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review. [PDF]
Tordecilla RD +4 more
europepmc +1 more source
Improving the accessibility to public schools in urban areas of developing countries through a location model and an analytical framework. [PDF]
de Armas J +2 more
europepmc +1 more source
Many decision-making processes in our society involve NP-hard optimization problems. The largescale, dynamism, and uncertainty of these problems constrain the potential use of stand-alone optimization methods. The same applies for isolated simulation models, which do not have the potential to find optimal solutions in a combinatorial environment.
Chica, Manuel|| +4 more
openaire +1 more source

