TY - JOUR
T1 - An MINLP formulation for integrating the operational management of crude oil supply
AU - Assis, Leonardo S.
AU - Camponogara, Eduardo
AU - Menezes, Brenno C.
AU - Grossmann, Ignacio E.
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/4/6
Y1 - 2019/4/6
N2 - In this paper we integrate the management of crude oil supply at the operational level (i.e., from FPSOs to CDUs), taking into account the scheduling of vessels and operations in a terminal, while handling the non-convexities associated to the blending of crudes. The problem incorporates elements of known problems in the literature: maritime inventory routing and crude oil scheduling. To tackle this problem, we propose an MINLP formulation, which is solved by an iterative MILP-NLP decomposition scheme with domain reduction. The solution strategy is illustrated with a set of instances, that yielded small solution gaps.
AB - In this paper we integrate the management of crude oil supply at the operational level (i.e., from FPSOs to CDUs), taking into account the scheduling of vessels and operations in a terminal, while handling the non-convexities associated to the blending of crudes. The problem incorporates elements of known problems in the literature: maritime inventory routing and crude oil scheduling. To tackle this problem, we propose an MINLP formulation, which is solved by an iterative MILP-NLP decomposition scheme with domain reduction. The solution strategy is illustrated with a set of instances, that yielded small solution gaps.
KW - Bilinear terms
KW - Blending
KW - Crude oil scheduling
KW - Crude oil supply
KW - MINLP
KW - Maritime inventory routing
UR - http://www.scopus.com/inward/record.url?scp=85059445310&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2018.12.014
DO - 10.1016/j.compchemeng.2018.12.014
M3 - Article
AN - SCOPUS:85059445310
SN - 0098-1354
VL - 123
SP - 110
EP - 125
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
ER -