Market demand is always more characterized by products variability and life cycle reduction; consequently, manufacturing systems need to be always more flexible and adaptable, in order to well react to this fluctuating demand. The most common assembly systems configuration is the Fixed Worker (FW) assembly line, where the workers always remain in the same workstation, to perform a single and often repetitive set of assembling tasks characterized by manual operations. On the other side, in the Walking Worker (WW) assembly line each operator travels along the workstations of the line performing all assembly tasks. In this context, the introduction of a new product, or a new worker, has an effect on the performance of the assembly system, caused by the learning of the new tasks. This paper aims to investigate the learning effect on the FW and WW systems and to compare them in order to define the best configuration in terms of performance. In particular, it proposes a mathematical model to...

Consideration of the learning effect in the comparison of Fixed Worker and Walking Worker assembly systems

Ilenia Zennaro
;
Martina Calzavara;Maurizio Faccio;Alessandro Persona
2023

Abstract

Market demand is always more characterized by products variability and life cycle reduction; consequently, manufacturing systems need to be always more flexible and adaptable, in order to well react to this fluctuating demand. The most common assembly systems configuration is the Fixed Worker (FW) assembly line, where the workers always remain in the same workstation, to perform a single and often repetitive set of assembling tasks characterized by manual operations. On the other side, in the Walking Worker (WW) assembly line each operator travels along the workstations of the line performing all assembly tasks. In this context, the introduction of a new product, or a new worker, has an effect on the performance of the assembly system, caused by the learning of the new tasks. This paper aims to investigate the learning effect on the FW and WW systems and to compare them in order to define the best configuration in terms of performance. In particular, it proposes a mathematical model to...
2023
IFAC World Congress 2023, 9-14 July 2023, Yokohama, JAPAN
22nd IFAC World Congress
9781713872344
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3505517
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