TY - JOUR
T1 - Increasing Chip Availability Through a New After-Sales Service Supply Concept at ASML
AU - Lamghari-Idrissi, Douniel
AU - van Hugten, Roy
AU - van Houtum, Geert-Jan
AU - Basten, Rob
PY - 2022/9/1
Y1 - 2022/9/1
N2 - ASML is an innovation leader in the semiconductor industry and the market leader in the photolithography systems sector. At the beginning of 2017, ASML embarked on a journey to evaluate and reform its after-sales service supply concept driven by the increased focus of its customers on infrequent but disruptive long downtime events. The company made changes to its service measures and to the planning approach. This resulted in a new service concept, which, after successful pilots, ASML rolled out to its worldwide installed base at customers’ sites in 2020. The new concept resulted in a worldwide decrease of 20% in the number of extreme long downtime events at ASML’s customers, generating an estimated yearly benefit of €1.5 billion for the semiconductor industry.
AB - ASML is an innovation leader in the semiconductor industry and the market leader in the photolithography systems sector. At the beginning of 2017, ASML embarked on a journey to evaluate and reform its after-sales service supply concept driven by the increased focus of its customers on infrequent but disruptive long downtime events. The company made changes to its service measures and to the planning approach. This resulted in a new service concept, which, after successful pilots, ASML rolled out to its worldwide installed base at customers’ sites in 2020. The new concept resulted in a worldwide decrease of 20% in the number of extreme long downtime events at ASML’s customers, generating an estimated yearly benefit of €1.5 billion for the semiconductor industry.
KW - after-sales services
KW - infrequent interruptions
KW - semiconductor manufacturing
KW - service measures
KW - service tools planning
KW - spare parts planning
UR - http://www.scopus.com/inward/record.url?scp=85146994778&partnerID=8YFLogxK
U2 - 10.1287/inte.2022.1133
DO - 10.1287/inte.2022.1133
M3 - Article
SN - 2644-0865
VL - 52
SP - 460
EP - 470
JO - INFORMS Journal on Applied Analytics
JF - INFORMS Journal on Applied Analytics
IS - 5
ER -