arXiv subjects

Arianna Alfieri

Publications and source records attributed to Arianna Alfieri.

2 recordsLinked to original sources

arXiv2026

Dynamic production control and deadlock prevention in conveyor equipped manufacturing systems

Flexible CONWIP approaches enable the dynamic production control to align production performance with production targets in the presence of high-fluctuating demand and system variability. However, frequently changing the WIP level might generate nervousness and, thus, can be practically infeasible. This paper investigates the combined use of job sequencing and routing to enable dynamic control in a CONWIP system comprising six unreliable workstations interconnected by conveyor carousels. Job sequencing and routing have been investigated using scenario analysis and discrete-event simulation. The results shed light on the effectiveness of the proposed approach, which improves throughput and enables dynamic production control without changing the WIP level. The results also provide managerial insights for system design, considering the impacts of the job-handling system (transport) and the minimum digital and technological requirements from Industry 4.0 for implementing the proposed approach.

cs.CE↗

arXiv2020

A solution procedure for minimizing total completion time in a parallel-batching environment

In many manufacturing processes, batch processing is frequently needed for capacity reasons. This applies both to parallel and serial batching. However, while the serial batch processing is largely studied in the literature, as it is related to the setup issues, the parallel batch processing is less investigated. In parallel batching, the manufacturing facility (e.g., ovens for burn-in operations) is able to accommodate, and process, several parts at the same time and not to exploit such ability leads to a reduction in the capacity of the manufacturing facility itself, which will be able to process less parts per time unit. In this paper, the scheduling problem in batch processing environments is considered. Specifically a column generation algorithm is proposed for parallel batching in both single machine and parallel machine layouts. Numerical results show that the proposed algorithm is able to achieve good solutions in reasonable computation time due to the use of a new developed lower bound much stronger than the literature available lower bounds.

math.OC↗