Results 31 to 40 of about 113 (88)

A Simulation Based Metaheuristics for Capacitated Vehicle Routing Problem

open access: yesAutomotive Experiences
Waste collection and transportation are essential elements of effective waste management. However, despite their importance, previous studies have highlighted several challenges, such as routing inefficiencies and environmental concerns.
Tamara Latifah Jasmine   +3 more
doaj   +1 more source

A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics

open access: yesOperations Research Perspectives, 2019
The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating ...
Chiou-Peng Lam   +4 more
doaj   +1 more source

The Combination of Discrete-Event Simulation and Genetic Algorithm for Solving the Stochastic Multi-Product Inventory Optimization Problem

open access: yesTransport and Telecommunication, 2018
The paper describes an eventual combination of discrete-event simulation and genetic algorithm to define the optimal inventory policy in stochastic multi-product inventory systems.
Jackson Ilya   +2 more
doaj   +1 more source

A Simheuristic Method for the Reversible Lanes Allocation and Scheduling Problem at Smart Container Terminal Gate

open access: yesJournal of Advanced Transportation, Volume 2018, Issue 1, 2018., 2018
Under the constraints of limited spaces and imbalanced traffic volumes (for both in and out directions) of container gates, reversible lane layouts become an economical and practical way to improve the service level of container terminal systems and make the maximum use of the current terminal resources. Together with a consideration of minimized total
Wenyuan Wang   +5 more
wiley   +1 more source

Sim-Exact Methods for Stochastic Optimization: A Complementary Approach to Simheuristics

open access: yesMathematics
This paper introduces a sim-exact methodology for stochastic combinatorial optimization problems. The approach combines exact optimization models with Monte Carlo or discrete-event simulation to evaluate candidate solutions under uncertainty.
Angel A. Juan   +3 more
doaj   +1 more source

Risk-Aware Crude Oil Scheduling in Petrochemical Supply Chains: A CVaR-Driven Reactive GRASP Simheuristic

open access: yesApplied Sciences
The scheduling of crude oil operations in marine refineries is a complex combinatorial problem, exacerbated by stochastic disruptions like vessel delays and port congestion.
Antonio Giallanza, Giuseppe Marannano
doaj   +1 more source

Enhancing pharmaceutical cold supply chain: integrating medication synchronization and diverse delivery modes

open access: yesInternational Transactions in Operational Research, Volume 33, Issue 3, Page 2082-2118, May 2026.
Abstract The significance of last‐mile logistics in the healthcare supply chain is growing steadily, especially in pharmacies where the growing prevalence of medication delivery to patients' homes is remarkable. This paper proposes a novel mathematical model for the last‐mile logistics of the pharmaceutical supply chain and optimizes a pharmacy's ...
Elise Potters   +4 more
wiley   +1 more source

Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges

open access: yesEnergies, 2016
Current logistics and transportation (L&T) systems include heterogeneous fleets consisting of common internal combustion engine vehicles as well as other types of vehicles using “green” technologies, e.g., plug-in hybrid electric vehicles and ...
Angel Alejandro Juan   +4 more
doaj   +1 more source

A Particle Swarm Optimization‐Driven Simulation Framework for Multistage Outpatient Appointment Scheduling With Walk‐Ins and No‐Shows

open access: yesJournal of Engineering, Volume 2026, Issue 1, 2026.
Outpatient clinics frequently experience delays because walk‐in arrivals and patient no‐shows occur unpredictably, disrupting patient flow and limiting the efficient use of clinical resources. This study improves appointment scheduling under such uncertainty by reducing the time patients spend in the clinic and increasing the number of patients served.
Kazi Md. Tanvir Anzum   +4 more
wiley   +1 more source

Real‐Time User‐Centric Routing Leveraging DG–DRM Integration in the Real‐Time Distribution Network

open access: yesIET Electrical Systems in Transportation, Volume 2025, Issue 1, 2025.
The rapid adoption of electric vehicles (EVs) poses new challenges for both transportation networks and power distribution systems. To address these issues, effective EV routing strategies are essential to minimize grid stress and ensure efficient energy utilization.
Aishwarya Sadagopan   +3 more
wiley   +1 more source

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