A Hierarchical Modeling Approach to Improve Scheduling of Manufacturing Processes

Gaiardelli, Sebastiano; Spellini, Stefano; Lora, Michele; Fummi, Franco

doi:10.1109/isie51582.2022.9831468

Cited by 4 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, many modeling strategies are suitable to model SoM systems, as long as the services provided by the infrastructure, and those required by the recipes can be properly identified in the model. In this work, we rely on the modeling strategies we previously introduced in [32] to model the components' behavior, and in [33] to model the production recipes.…”

Section: Modeling the System Behaviormentioning

confidence: 99%

“…To demonstrate the advantages of our proposed architecture, we compare the results obtained by the scheduler implemented by the commercial MES, which relies on a classical RTN-based task representation, against the service-based scheduler implemented on top of the AMC. The implemented service-based scheduler, which has been initially proposed in [33] allows exploiting the proposed hierarchical representation of production recipes to optimize the production schedule. Either schedulers have been tested on 500 production orders, randomly sampled from a pool of the 4 production recipes available within the ICE Laboratory.…”

Section: Scheduling Analysismentioning

confidence: 99%

See 1 more Smart Citation

Enabling Service-Oriented Manufacturing Through Architectures, Models, and Protocols

Gaiardelli,

Spellini,

Panato

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Modern production lines are often composed of machinery from different vendors that must be connected with each other to increase the overall interoperability and flexibility. A common problem that arises in such systems is the complexity of the configuration task: they usually require each component to be manually configured. Thus, machinery requires different configuration strategies, negatively impacting scalability and increasing the chance of human errors. Furthermore, each time the manufacturing system has to be updated, the entire procedure must be repeated. This paper proposes a software architecture abstracting the complexity of existing production lines by enabling the service-oriented manufacturing paradigm. Then, it presents a strategy to model manufacturing systems, covering the topology of the production plant, machinery, and production recipes. The paper also proposes a model-based methodology to automatically configure the reference software architecture and hence the machines in the system. The application of the contributions to a fully-fledged production line shows the effectiveness of relying on model-based automatic configuration.

show abstract

Section: Modeling the System Behaviormentioning

confidence: 99%

Section: Scheduling Analysismentioning

confidence: 99%