@inbook{d8f764938ef443c79d2468ca806549a6,
title = "Discrete-Time MIP Methods for Production Scheduling in Multistage Facilities",
abstract = "We propose four different discrete-time, mixed-integer programming (MIP) models for production scheduling problems in multistage facilities. Specifically, we discuss two models based on network representations and develop two models inspired by the Resource-Constrained Project Scheduling Problem. Furthermore, we propose different solution methods: tightening constraints, a reformulation, and priority-based branching. Through a comprehensive computational study, we show that up to four orders of magnitude improvements in computational time can be achieved compared to existing approaches.",
keywords = "Sequential production environments, reformulations, tightening constraints",
author = "Merchan, {Andres F.} and Hojae Lee and Maravelias, {Christos T.}",
note = "Publisher Copyright: {\textcopyright} 2016 Elsevier B.V.",
year = "2016",
doi = "10.1016/B978-0-444-63428-3.50065-5",
language = "English (US)",
isbn = "9780444634283",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "362--367",
editor = "Zdravko Kravanja and Milos Bogataj",
booktitle = "26 European Symposium on Computer Aided Process Engineering, 2016",
}