Designing an unsupervised machine learning method to identify automation improvement opportunities in supply chain at ASML

Lei Li

Onderzoeksoutput: Scriptie › EngD Thesis

Originele taal-2	Engels
Begeleider(s)/adviseur	Muntean, Tiberiu, Begeleider Genga, Laura, Begeleider Bakker, Rutger E.F., Externe begeleider Vlassak, Tom H.P., Externe begeleider van Hillegersberg, Jos, Externe begeleider van den Heuvel, Willem-Jan A.M., Externe begeleider de Campos, Cassio, Begeleider
Datum van toekenning	25 aug. 2022
Plaats van publicatie	Eindhoven
Uitgever	Technische Universiteit Eindhoven
Status	Gepubliceerd - 25 aug. 2022

Pd Eng Thesis. - Confidential.

Citeer dit

@phdthesis{af6f9a17a9e04382b2a57ed8ceef6d5c,

title = "Designing an unsupervised machine learning method to identify automation improvement opportunities in supply chain at ASML",

author = "Lei Li",

note = "Pd Eng Thesis. - Confidential.",

year = "2022",

month = aug,

day = "25",

language = "English",

series = "PdEng Thesis Series",

publisher = "Technische Universiteit Eindhoven",

type = "EngD Thesis",

}