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.
2022
Proceedings - Winter Simulation Conference
2022 Winter Simulation Conference, WSC 2022
chn
2022
Nunziatini A.; Fani V.; Bindi B.; Bandinelli R.; Tucci M.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1330043
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