New aerospace product developments need to be done following economic and
environmental drivers like costs reduction, secure a short time-to-market, reduce total carbon …

Product-service system (PSS) complexity is rapidly increasing in order to meet complex user
requirements. Increased complexity leads to PSSs failing to meet sustainability requirements …

In the current context characterized by turbulent market conditions and the increasing
relevance of sustainability requirements, reconfigurable manufacturing systems (RMSs) offer …

Purpose A reconfigurable manufacturing system (RMS) can provide manufacturing flexibility,
meet changing market demands and deliver high performance, among other benefits …

For several years, companies have been aware of the importance of supply planning, but
extreme events like pandemics and the financial crisis have shifted the attention towards …

Reconfigurable manufacturing systems (RMS), which possess the advantages of both
dedicated manufacturing lines (DML) and flexible manufacturing systems (FMS), are …

Multi-objective optimization evolutionary algorithms (MOEAs) are considered as the most
suitable heuristic methods for solving multi-objective optimization problems (MOPs). These …

Particle swarm optimization (PSO) algorithms face performance challenges, which lean on
improving solutions quality, speed-up, dealing with large-scale problems, and exploitation of …

Multi-Objective Optimization Evolutionary Algorithms (MOEAs) belong to heuristic methods
proposed for solving Multi-objective Optimization Problems (MOPs). In fact, MOEAs search …

Today, aerospace products need to be developed following economic and environmental
drivers. Aerospace production systems must adapt to novel products that reuse current …