@inbook{a1b57885c6ab49f4969a8d9be3c57b70,
title = "Holistic Capacity Management and Production Planning in the Pharmaceutical Supply Chain",
abstract = "Pharmaceutical companies are responsible for the consistent delivery of life-saving medicines to patients. Production must be planned to ensure supply-demand balancing and time-dependent capacity constraints must be handled through capacity planning. This work describes an aggregated 4-step framework for mid-term decision support on integrated production and capacity planning including the relevant MILP mathematical models. The framework has been developed by combining theory with observed requirements in industry and it is applied to a case study abstracted from industrial API manufacturing to provide an example of its industrial relevance.",
keywords = "MILP, Planning & Scheduling, Pharmaceutical Manufacturing, Capacity Planning",
author = "Lindahl, {Simon B.} and Babi, {Deenesh K.} and Gernaey, {Krist V.} and G{\"u}rkan Sin",
year = "2022",
doi = "10.1016/B978-0-323-95879-0.50155-7",
language = "English",
volume = "51",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier",
pages = "925--930",
editor = "Ludovic Montastruc and Stephane Negny",
booktitle = "32nd European Symposium on Computer Aided Process Engineering",
address = "United Kingdom",
note = "32nd European Symposium on Computer Aided Process Engineering, (ESCAPE32) ; Conference date: 12-06-2022 Through 15-06-2022",
}