Results 221 to 230 of about 131,179 (271)
Anesthesia Practice Shift Scheduling With a Generative Deep Learning Model. [PDF]
Emeneker W +4 more
europepmc +1 more source
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses.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
Data-Driven Chance-Constrained Mixed Integer Nonlinear Bi-level Optimisation Via Copulas: Application To Integrated Planning And Scheduling Problems. [PDF]
Johnn SN +5 more
europepmc +1 more source
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
Optimizing Cold Food Supply Chains for Enhanced Food Availability Under Climate Variability. [PDF]
Hernandez-Cuellar D +2 more
europepmc +1 more source
An iterated greedy‐based metaheuristic with local search for the rank pricing problem
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
Achieving high precision in analog in-memory computing systems. [PDF]
Mannocci P +3 more
europepmc +1 more source
Vessel arrival planning with full information
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
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

