Intelligence as a means for better production
A book encapsulates the general principles of AI and its potential application in supply chains
Artificial Intelligence as a tool to work better – an assumption that, nowadays, is rather commonplace, and yet needs to be understood and analysed in terms of individual corporate contexts. This is what Raffaele Secchi achieves with the work he curated, Supply Chain management e intelligenza artificiale (Supply chain management and artificial intelligence), a book written in collaboration whose aim is immediately unpacked by its subheading: Migliorare i processi e la competitività aziendale (Improving corporate processes and competitiveness) – according to the authors, this is indeed the purpose of Artificial Intelligence.
In the opinion of Secchi and his collaborators, when applied to the management of operations and supply chains, Artificial Intelligence represents an extraordinary opportunity to enhance companies’ competitiveness. In fact, it can significantly affect costs, the productivity of operators and plants, the quality of processes and products, stock management and its depletion, and service levels.
So far, so good. But Secchi and colleagues demonstrate that even here one needs to know how to properly manage the situation, and that not everything can be taken for granted. Projects aimed at integrating AI in the industrial sphere, the authors emphasise, feature extremely high levels of complexity, and good preparation is crucial to be able to tackle and handle the transition from traditional to algorithm-led management.
Thus, the book starts by tracing the evolution of Artificial Intelligence, before moving on to explore in depth its specific applications in this area and, finally, offers a number of concrete corporate case studies. Throughout the pages, the many graphs and tables are really useful in following a book that does not always make for easy reading.
This work ends with a kind of useful “recipe” for a true application of Artificial Intelligence in enterprises: a method that starts by considering the main barriers to the application of AI in production organisations and that succeeds in defining a number of stages through which they can be overcome.
Supply Chain management e intelligenza artificiale (Supply chain management and artificial intelligence)
Secchi Raffaele (curated by)
Guerini Next, 2022
A book encapsulates the general principles of AI and its potential application in supply chains
Artificial Intelligence as a tool to work better – an assumption that, nowadays, is rather commonplace, and yet needs to be understood and analysed in terms of individual corporate contexts. This is what Raffaele Secchi achieves with the work he curated, Supply Chain management e intelligenza artificiale (Supply chain management and artificial intelligence), a book written in collaboration whose aim is immediately unpacked by its subheading: Migliorare i processi e la competitività aziendale (Improving corporate processes and competitiveness) – according to the authors, this is indeed the purpose of Artificial Intelligence.
In the opinion of Secchi and his collaborators, when applied to the management of operations and supply chains, Artificial Intelligence represents an extraordinary opportunity to enhance companies’ competitiveness. In fact, it can significantly affect costs, the productivity of operators and plants, the quality of processes and products, stock management and its depletion, and service levels.
So far, so good. But Secchi and colleagues demonstrate that even here one needs to know how to properly manage the situation, and that not everything can be taken for granted. Projects aimed at integrating AI in the industrial sphere, the authors emphasise, feature extremely high levels of complexity, and good preparation is crucial to be able to tackle and handle the transition from traditional to algorithm-led management.
Thus, the book starts by tracing the evolution of Artificial Intelligence, before moving on to explore in depth its specific applications in this area and, finally, offers a number of concrete corporate case studies. Throughout the pages, the many graphs and tables are really useful in following a book that does not always make for easy reading.
This work ends with a kind of useful “recipe” for a true application of Artificial Intelligence in enterprises: a method that starts by considering the main barriers to the application of AI in production organisations and that succeeds in defining a number of stages through which they can be overcome.
Supply Chain management e intelligenza artificiale (Supply chain management and artificial intelligence)
Secchi Raffaele (curated by)
Guerini Next, 2022