An MILP Approach for Short-term Scheduling of Batch Operations

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

An MILP Approach for Short-term Scheduling of Batch Operations. / Mostafaei, Hossein; Harjunkoski, Iiro.

Computer Aided Chemical Engineering. Elsevier, 2019. s. 649-654 (Computer Aided Chemical Engineering ; Vuosikerta 46).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Mostafaei, H & Harjunkoski, I 2019, An MILP Approach for Short-term Scheduling of Batch Operations. julkaisussa Computer Aided Chemical Engineering. Computer Aided Chemical Engineering , Vuosikerta. 46, Elsevier, Sivut 649-654. https://doi.org/10.1016/B978-0-12-818634-3.50109-0

APA

Mostafaei, H., & Harjunkoski, I. (2019). An MILP Approach for Short-term Scheduling of Batch Operations. teoksessa Computer Aided Chemical Engineering (Sivut 649-654). (Computer Aided Chemical Engineering ; Vuosikerta 46). Elsevier. https://doi.org/10.1016/B978-0-12-818634-3.50109-0

Vancouver

Mostafaei H, Harjunkoski I. An MILP Approach for Short-term Scheduling of Batch Operations. julkaisussa Computer Aided Chemical Engineering. Elsevier. 2019. s. 649-654. (Computer Aided Chemical Engineering ). https://doi.org/10.1016/B978-0-12-818634-3.50109-0

Author

Mostafaei, Hossein ; Harjunkoski, Iiro. / An MILP Approach for Short-term Scheduling of Batch Operations. Computer Aided Chemical Engineering. Elsevier, 2019. Sivut 649-654 (Computer Aided Chemical Engineering ).

Bibtex - Lataa

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title = "An MILP Approach for Short-term Scheduling of Batch Operations",
abstract = "In this paper, we address the short-term scheduling of multipurpose batch plants, a challenging problem that has received growing attention in the past few years. We present a new mixed integer linear programming (MILP) framework based on the state-task network (STN), which employs a multi-grid continuous-time approach. Compared to other formulations in the literature, the proposed model leads to smaller and simpler mathematical models with strong LP-relaxations, which is reflected in the ability to find the optimal solutions in shorter CPU times. We demonstrate the performance of our model with a complex and comprehensive case study from the literature.",
author = "Hossein Mostafaei and Iiro Harjunkoski",
year = "2019",
doi = "10.1016/B978-0-12-818634-3.50109-0",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier",
pages = "649--654",
booktitle = "Computer Aided Chemical Engineering",
address = "Netherlands",

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RIS - Lataa

TY - CHAP

T1 - An MILP Approach for Short-term Scheduling of Batch Operations

AU - Mostafaei, Hossein

AU - Harjunkoski, Iiro

PY - 2019

Y1 - 2019

N2 - In this paper, we address the short-term scheduling of multipurpose batch plants, a challenging problem that has received growing attention in the past few years. We present a new mixed integer linear programming (MILP) framework based on the state-task network (STN), which employs a multi-grid continuous-time approach. Compared to other formulations in the literature, the proposed model leads to smaller and simpler mathematical models with strong LP-relaxations, which is reflected in the ability to find the optimal solutions in shorter CPU times. We demonstrate the performance of our model with a complex and comprehensive case study from the literature.

AB - In this paper, we address the short-term scheduling of multipurpose batch plants, a challenging problem that has received growing attention in the past few years. We present a new mixed integer linear programming (MILP) framework based on the state-task network (STN), which employs a multi-grid continuous-time approach. Compared to other formulations in the literature, the proposed model leads to smaller and simpler mathematical models with strong LP-relaxations, which is reflected in the ability to find the optimal solutions in shorter CPU times. We demonstrate the performance of our model with a complex and comprehensive case study from the literature.

U2 - 10.1016/B978-0-12-818634-3.50109-0

DO - 10.1016/B978-0-12-818634-3.50109-0

M3 - Chapter

T3 - Computer Aided Chemical Engineering

SP - 649

EP - 654

BT - Computer Aided Chemical Engineering

PB - Elsevier

ER -

ID: 35990770