Process plant layout optimization: equipment allocation

Gleb Belov; Tobias Czauderna; Maria Garcia de la Banda; Matthias Klapperstueck; Ilankaikone Senthooran; Mitch Smith; Michael Wybrow; Mark Wallace

doi:10.1007/978-3-319-98334-9_31

Process plant layout optimization: equipment allocation

Gleb Belov, Tobias Czauderna, Maria Garcia de la Banda, Matthias Klapperstueck, Ilankaikone Senthooran, Mitch Smith, Michael Wybrow, Mark Wallace

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

4 Citations (Scopus)

Abstract

Designing the layout of a chemical plant is a complex and important task. Its main objective is to find a most economical spatial arrangement of the equipment and associated pipes that satisfies construction, operation, maintenance and safety constraints. The problem is so complex it is still solved manually, taking multiple engineers many months (or even years) to complete. This paper provides (a) the most comprehensive model ever reported in the literature for spatially arranging the equipment, and (b) a Large Neighbourhood Search framework that enables complete solvers explore much larger neighbourhoods than previous approaches to this problem. The two contributions are part of a system being developed in collaboration with Woodside Energy Ltd. for arranging their Liquefied Natural Gas plants. The results are indeed so promising that Woodside are actively exploring its commercialisation.

Original language	English
Title of host publication	Principles and Practice of Constraint Programming
Subtitle of host publication	24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings
Editors	John Hooker
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	473-489
Number of pages	17
ISBN (Electronic)	9783319983349
ISBN (Print)	9783319983332
DOIs	https://doi.org/10.1007/978-3-319-98334-9_31
Publication status	Published - 23 Aug 2018
Event	International Conference on Principles and Practice of Constraint Programming 2018 - Lille, France Duration: 27 Aug 2018 → 31 Aug 2018 Conference number: 24th http://cp2018.a4cp.org/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	11008
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Principles and Practice of Constraint Programming 2018
Abbreviated title	CP 2018
Country/Territory	France
City	Lille
Period	27/08/18 → 31/08/18
Internet address	http://cp2018.a4cp.org/

Access to Document

10.1007/978-3-319-98334-9_31

Cite this

Belov, G., Czauderna, T., de la Banda, M. G., Klapperstueck, M., Senthooran, I., Smith, M., Wybrow, M., & Wallace, M. (2018). Process plant layout optimization: equipment allocation. In J. Hooker (Ed.), Principles and Practice of Constraint Programming : 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings (pp. 473-489). (Lecture Notes in Computer Science; Vol. 11008 ). Springer. https://doi.org/10.1007/978-3-319-98334-9_31

Belov, Gleb ; Czauderna, Tobias ; de la Banda, Maria Garcia ; Klapperstueck, Matthias ; Senthooran, Ilankaikone ; Smith, Mitch ; Wybrow, Michael ; Wallace, Mark. / Process plant layout optimization : equipment allocation. Principles and Practice of Constraint Programming : 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings. editor / John Hooker. Cham Switzerland : Springer, 2018. pp. 473-489 (Lecture Notes in Computer Science).

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abstract = "Designing the layout of a chemical plant is a complex and important task. Its main objective is to find a most economical spatial arrangement of the equipment and associated pipes that satisfies construction, operation, maintenance and safety constraints. The problem is so complex it is still solved manually, taking multiple engineers many months (or even years) to complete. This paper provides (a) the most comprehensive model ever reported in the literature for spatially arranging the equipment, and (b) a Large Neighbourhood Search framework that enables complete solvers explore much larger neighbourhoods than previous approaches to this problem. The two contributions are part of a system being developed in collaboration with Woodside Energy Ltd. for arranging their Liquefied Natural Gas plants. The results are indeed so promising that Woodside are actively exploring its commercialisation.",

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Belov, G, Czauderna, T, de la Banda, MG, Klapperstueck, M, Senthooran, I, Smith, M, Wybrow, M & Wallace, M 2018, Process plant layout optimization: equipment allocation. in J Hooker (ed.), Principles and Practice of Constraint Programming : 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings. Lecture Notes in Computer Science, vol. 11008 , Springer, Cham Switzerland, pp. 473-489, International Conference on Principles and Practice of Constraint Programming 2018, Lille, France, 27/08/18. https://doi.org/10.1007/978-3-319-98334-9_31

Process plant layout optimization : equipment allocation. / Belov, Gleb; Czauderna, Tobias; de la Banda, Maria Garcia; Klapperstueck, Matthias; Senthooran, Ilankaikone; Smith, Mitch; Wybrow, Michael ; Wallace, Mark.

Principles and Practice of Constraint Programming : 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings. ed. / John Hooker. Cham Switzerland : Springer, 2018. p. 473-489 (Lecture Notes in Computer Science; Vol. 11008 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - Designing the layout of a chemical plant is a complex and important task. Its main objective is to find a most economical spatial arrangement of the equipment and associated pipes that satisfies construction, operation, maintenance and safety constraints. The problem is so complex it is still solved manually, taking multiple engineers many months (or even years) to complete. This paper provides (a) the most comprehensive model ever reported in the literature for spatially arranging the equipment, and (b) a Large Neighbourhood Search framework that enables complete solvers explore much larger neighbourhoods than previous approaches to this problem. The two contributions are part of a system being developed in collaboration with Woodside Energy Ltd. for arranging their Liquefied Natural Gas plants. The results are indeed so promising that Woodside are actively exploring its commercialisation.

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Belov G, Czauderna T, de la Banda MG, Klapperstueck M, Senthooran I, Smith M et al. Process plant layout optimization: equipment allocation. In Hooker J, editor, Principles and Practice of Constraint Programming : 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings. Cham Switzerland: Springer. 2018. p. 473-489. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-98334-9_31

Process plant layout optimization: equipment allocation

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Process plant layout optimization: equipment allocation

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