Results 131 to 140 of about 57,800 (281)
International Transactions in Operational Research, EarlyView.Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia +2 more
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri +3 more
wiley +1 more source
An iterated greedy‐based metaheuristic with local search for the rank pricing problem
International Transactions in Operational Research, EarlyView.Abstract The rank pricing problem involves determining optimal prices for a set of products while accounting for customers' budgets and preferences. This study develops an iterated greedy‐based metaheuristic to efficiently solve this problem. The core idea is to generate a sequence of solutions by iteratively applying destruction and reconstruction ...
Herminia I. Calvete +3 more
wiley +1 more source
On the interplay of Mixed Integer Linear, Mixed Integer Nonlinear and Constraint Programming
, 2016 In this thesis we study selected topics in the field of Mixed Integer Programming (MIP), in particular Mixed Integer Linear and Nonlinear Programming (MI(N)LP). We set a focus on the influences of Constraint Programming (CP). First, we analyze Mathematical Programming approaches to water network optimization, a set of challenging optimization ...
openaire +2 more sources
Vessel arrival planning with full information
International Transactions in Operational Research, EarlyView.Abstract Planning efficiency and timely arrival of vessels is crucial to smooth operations of maritime transport networks, ensuring optimal utilization of resources and minimizing operational costs. Coordination between vessel operators and terminals has the potential to reduce costs, fuel consumption, and waiting time.
Pim Willem Antoon van Leeuwen +1 more
wiley +1 more source
Multi‐objective maritime vessel routing with safety considerations
International Transactions in Operational Research, EarlyView.Abstract The routing of maritime vessels is a challenging optimization problem that involves finding an adequate balance between conflicting and multiple objectives. This paper proposes a methodology based on inverse optimization to find appropriate objective weights that account for conflicting objectives. To formulate the inverse optimization problem,
Nazanin Sharif +4 more
wiley +1 more source
Integrated location–inventory planning for slow‐moving demands with waiting time limitations
International Transactions in Operational Research, EarlyView.Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu +4 more
wiley +1 more source
Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction
International Transactions in Operational Research, EarlyView.Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer +3 more
wiley +1 more source
Journal of Microscopy, EarlyView.Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester +6 more
wiley +1 more source