Economically optimal multi-actor processing networks: material flows and price assignment of the intermediates using Lagrangian decomposition

Ana I. Torres, Tomasz Bochenski, Jens E. Schmidt, George Stephanopoulos

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Manufacturing networks are usually composed by several suppliers of intermediate products and several consumers that upgrade these to products. Coordination between the members of the network involves deciding how much intermediate product is going to be exchanged and at which price. In this work, a two-level Lagrangian approach is proposed to find the optimal transfer of intermediates (in terms of flowrates and prices) so that the profits of the actors participating in the network are balanced. The mathematical framework is first discussed for a simple network consisting of one supplier and one consumer, and then extended to multiple suppliers and consumers. A numerical example for a generic chemical process is presented to demonstrate the approach.

Original languageEnglish (US)
Title of host publication26 European Symposium on Computer Aided Process Engineering, 2016
EditorsZdravko Kravanja, Milos Bogataj
PublisherElsevier B.V.
Pages1383-1388
Number of pages6
ISBN (Print)9780444634283
DOIs
StatePublished - Jan 1 2016
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
Volume38
ISSN (Print)1570-7946

Fingerprint

Profitability
Decomposition
Processing

Keywords

  • Multi-actor networks
  • Multi-objective decision-making
  • Two-level Lagrangian decomposition

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Torres, A. I., Bochenski, T., Schmidt, J. E., & Stephanopoulos, G. (2016). Economically optimal multi-actor processing networks: material flows and price assignment of the intermediates using Lagrangian decomposition. In Z. Kravanja, & M. Bogataj (Eds.), 26 European Symposium on Computer Aided Process Engineering, 2016 (pp. 1383-1388). (Computer Aided Chemical Engineering; Vol. 38). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-63428-3.50235-6

Economically optimal multi-actor processing networks : material flows and price assignment of the intermediates using Lagrangian decomposition. / Torres, Ana I.; Bochenski, Tomasz; Schmidt, Jens E.; Stephanopoulos, George.

26 European Symposium on Computer Aided Process Engineering, 2016. ed. / Zdravko Kravanja; Milos Bogataj. Elsevier B.V., 2016. p. 1383-1388 (Computer Aided Chemical Engineering; Vol. 38).

Research output: Chapter in Book/Report/Conference proceedingChapter

Torres, AI, Bochenski, T, Schmidt, JE & Stephanopoulos, G 2016, Economically optimal multi-actor processing networks: material flows and price assignment of the intermediates using Lagrangian decomposition. in Z Kravanja & M Bogataj (eds), 26 European Symposium on Computer Aided Process Engineering, 2016. Computer Aided Chemical Engineering, vol. 38, Elsevier B.V., pp. 1383-1388. https://doi.org/10.1016/B978-0-444-63428-3.50235-6
Torres AI, Bochenski T, Schmidt JE, Stephanopoulos G. Economically optimal multi-actor processing networks: material flows and price assignment of the intermediates using Lagrangian decomposition. In Kravanja Z, Bogataj M, editors, 26 European Symposium on Computer Aided Process Engineering, 2016. Elsevier B.V. 2016. p. 1383-1388. (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-444-63428-3.50235-6
Torres, Ana I. ; Bochenski, Tomasz ; Schmidt, Jens E. ; Stephanopoulos, George. / Economically optimal multi-actor processing networks : material flows and price assignment of the intermediates using Lagrangian decomposition. 26 European Symposium on Computer Aided Process Engineering, 2016. editor / Zdravko Kravanja ; Milos Bogataj. Elsevier B.V., 2016. pp. 1383-1388 (Computer Aided Chemical Engineering).
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