Towards a Digital Factory in the Leather Goods Sector: The Case of an Italian Company

Pietroni, Giorgia; Marconi, Marco

doi:10.1007/978-3-031-15928-2_38

Cited by 2 publications

(1 citation statement)

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“…A previous Analysis of the business context identified the advantages of using Industry 4.0 paradigms to create gains without altering the artisan vocation of the manufacturing company. A Business Digitalization Roadmap has been defined that suggests, for each business process including the WFM, the implementation of specific Digital Manufacturing tools able to use one or more Industry 4.0 enabling technologies (Pietroni and Marconi, 2022). In this context, the present study analyses how the company applies the proposed workforce digitisation methodology.…”

Section: Company Background and Motivationsmentioning

confidence: 99%

Data-Driven Smart Manufacturing: Case Study of Workforce Management Process in an Italian Leather Goods Company

Pietroni

Marconi

2023

Proc. Des. Soc.

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Digitalization is one of the fundamental pillars of Industry 4.0. Within smart factories, Big Data Analytics systems play a key role in supporting the decision-making process of various stages of business processes. In this context, this research aims to identify solutions able to process large volumes of data from digital business processes with the final goal of adding value to the organisation. More specifically, the research deals with the implementation of a digital manufacturing tool able to digitize the workforce management process. The research has been applied in the case study of an Italian manufacturing company operating in the leather goods sector through the digitalization of the workforce management by a cloud-based platform. The implementation of the tool increases the efficiency of the production process, provides efficient management and integrates workforce data into one system. The implemented tool generates a large volume of data, the final goal is to make data user-friendly to support business decisions. Digitisation provides an exchange of information to support managers to make confident decisions.

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Section: Company Background and Motivationsmentioning

confidence: 99%