This paper focuses on the research and development of a new paint shop concept for the
automotive industry, based on Industry 4.0 and Digital Factory ideas. The Paint Shop 4.0 …

The car sequencing problem is a well established problem that models the conflicts arising
from scheduling cars into an assembly line. However, the existing approaches to this …

We consider a scheduling problem arising in the mining industry. Ore from several mining
sites must be transferred to ports to be loaded on ships in a timely manner. In doing so …

This paper introduces the maximum length car sequencing problem to support the assembly
operations of a multinational automotive company. We propose an integer linear …

The paper presents a Car Sequencing Problem, widely considered in the literature. The
issue considered by the researchers is only a reduced problem in comparison with the …

Operational researchers and decision modelers have aspired to optimization technologies
with a self-adaptive mechanism to cope with new problem formulations. Self-adaptive …

One of the most interesting recent trends for what concerns research on metaheuristics is
their hybridization with other techniques for optimization. In fact, the focus of research on …

We investigate the problem of scheduling a sequence of cars to be placed on an assembly
line. Stations, along the assembly line install options (eg air conditioning), but have limited …

Hybrid methods are highly effective means of solving combinatorial optimization problems
and have become increasingly popular. In particular, integrations of exact and incomplete …

In this study, we investigate a hybrid Lagrangian relaxation ant colony optimisation for
optimisation version of the car sequencing problem. Several cars are required to be …