The paper presents the definition of a data-driven simulation framework and its development using AnyLogic® software for production balancing and optimization in the leather luxury accessories industry. The model has been developed including an industry-oriented set of objects in order to easily replicate the resource configuration and layout mainly used within the analysed context. A case study is therefore conducted to validate the model and confirm its usability. The results of this work demonstrated that the proposed framework can be easily adapted to a shoe joiner using the pre-configured objects. Scenarios have been carried out based on what-if analyses regarding productivity, resources saturation and bottlenecks. This tool can therefore be used as a valuable support to production planning, scheduling optimization, workload and production cycle balancing.
Data-Driven Simulation for Production Balancing and Optimization: A Case Study in the Fashion Luxury Industry / Nunziatini A.; Fani V.; Bindi B.; Bandinelli R.; Tucci M.. - STAMPA. - 2022-:(2022), pp. 2957-2967. (Intervento presentato al convegno 2022 Winter Simulation Conference, WSC 2022 tenutosi a chn nel 2022) [10.1109/WSC57314.2022.10015439].
Data-Driven Simulation for Production Balancing and Optimization: A Case Study in the Fashion Luxury Industry
Nunziatini A.;Fani V.;Bindi B.;Bandinelli R.;Tucci M.
2022
Abstract
The paper presents the definition of a data-driven simulation framework and its development using AnyLogic® software for production balancing and optimization in the leather luxury accessories industry. The model has been developed including an industry-oriented set of objects in order to easily replicate the resource configuration and layout mainly used within the analysed context. A case study is therefore conducted to validate the model and confirm its usability. The results of this work demonstrated that the proposed framework can be easily adapted to a shoe joiner using the pre-configured objects. Scenarios have been carried out based on what-if analyses regarding productivity, resources saturation and bottlenecks. This tool can therefore be used as a valuable support to production planning, scheduling optimization, workload and production cycle balancing.File | Dimensione | Formato | |
---|---|---|---|
WSC2022_Nunziatini_Data_Driven_rev4.pdf
accesso aperto
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Open Access
Dimensione
484.72 kB
Formato
Adobe PDF
|
484.72 kB | Adobe PDF |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.