{"type":"ScholarlyArticle","title":"Enhancing Manufacturing with AI-powered Process Design","authors":[{"name":"Gianmarco Genalti","slug":"gianmarco-genalti","given":"Gianmarco","family":"Genalti","affiliation":"Politecnico di Milano"},{"name":"Gabriele Corbo","slug":"gabriele-corbo","given":"Gabriele","family":"Corbo","affiliation":"Politecnico di Milano"},{"name":"Tommaso Bianchi","slug":"tommaso-bianchi","given":"Tommaso","family":"Bianchi","affiliation":"Politecnico di Milano"},{"name":"Marco Missaglia","slug":"marco-missaglia","given":"Marco","family":"Missaglia","affiliation":"Agrati S .p.A ."},{"name":"Luca Negri","slug":"luca-negri","given":"Luca","family":"Negri","affiliation":"Agrati S .p.A ."},{"name":"Andrea Sala","slug":"andrea-sala","given":"Andrea","family":"Sala","affiliation":"Agrati S .p.A ."},{"name":"Luca Magri","slug":"luca-magri","given":"Luca","family":"Magri","affiliation":"Politecnico di Milano"},{"name":"Giacomo Boracchi","slug":"giacomo-boracchi","given":"Giacomo","family":"Boracchi","affiliation":"Politecnico di Milano"},{"name":"Giovanni Miragliotta","slug":"giovanni-miragliotta","given":"Giovanni","family":"Miragliotta","affiliation":"Politecnico di Milano"},{"name":"Nicola Gatti","slug":"nicola-gatti","given":"Nicola","family":"Gatti","affiliation":"Politecnico di Milano"}],"abstract":"Manufacturing companies are experiencing a transformative journey, moving from labor-intensive processes to integrating cutting-edge technologies such as digitalization and AI. In this demo paper, we present a novel AI tool to enhance manufacturing processes. Remarkably, our work has been developed in collaboration with Agrati S.p.A., a worldwide leading company in the bolts manufacturing sector. In particular, we propose an AI-powered tool to address the problem of automatically generating the production cycle of a bolt. Currently, this decision-making task is performed by process engineers who spend several days to study, draw, and test multiple alternatives before finding the desired production cycle. We cast this task as a model-based planning problem, mapping bolt technical drawings and metal deformations to, potentially continuous, states and actions, respectively. Furthermore, we resort to computer vision tools and visual transformers to design efficient heuristics that make the search affordable in concrete applications. Agrati S.p.A.'s process engineers extensively validated our tool, and they are currently using it to support their work. To the best of our knowledge, ours is the first AI tool dealing with production cycle design in bolt manufacturing.","doi":"10.24963/ijcai.2024/1004","url":"https://ijcai.org/proceedings/2024/1004","pdf":"https://ijcai.org/proceedings/2024/1004.pdf","markdown":"https://ijcai.org/proceedings/2024/1004.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/1004","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Demo Track","track":"Demo Track","number":1004,"pages":{"first":8665,"last":8668},"keywords":["Search: S: Heuristic search","Planning and Scheduling: PS: Applications"],"videos":[],"references":[{"position":1,"raw":"[Caron et al., 2021] Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin. 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State of the art-intense re- view on artificial intelligence systems application in pro- cess planning and manufacturing. Engineering Applica- tions of Artificial Intelligence, 65:294-329, 2017.","title":"State of the art-intense review on artificial intelligence systems application in process planning and manufacturing","authors":"Leo Sp, Kumar","year":"2017","venue":"Engineering Applications of Artificial Intelligence","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}