Data-driven water-efficient production scheduling in the food industry

Sai Jishna Pulluru, Renzo Akkerman

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

Abstract

Reuse and regeneration of water is becoming increasingly important in the food industry. Planning both water reuse and production while at the same time ensuring food safety is a challenge. We propose a novel scheduling methodology to simultaneously plan water reuse and production in food production processes utilizing real time water quality data. We develop a two-stage predictive scheduling and reactive scheduling approach taking into account the dynamic nature of water quality. Overall, our approach can prevent undesired contamination of food products due to reuse of water and achieve higher water efficiency.

Original languageEnglish
Title of host publication28th European Symposium on Computer Aided Process Engineering
EditorsAnton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek
PublisherElsevier B.V.
Pages1063-1068
Volume43
ISBN (Print)9780444642356
DOIs
Publication statusPublished - 4 Jul 2018

Publication series

NameComputer Aided Chemical Engineering
Volume43
ISSN (Print)1570-7946

Fingerprint

Scheduling
Water
Industry
Water quality
Food safety
Contamination
Planning

Keywords

  • data driven approach
  • food industry
  • online water quality measurement
  • real-time scheduling
  • water efficiency

Cite this

Pulluru, S. J., & Akkerman, R. (2018). Data-driven water-efficient production scheduling in the food industry. In A. Friedl, J. J. Klemeš, S. Radl, P. S. Varbanov, & T. Wallek (Eds.), 28th European Symposium on Computer Aided Process Engineering (Vol. 43, pp. 1063-1068). (Computer Aided Chemical Engineering; Vol. 43). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-64235-6.50186-8
Pulluru, Sai Jishna ; Akkerman, Renzo. / Data-driven water-efficient production scheduling in the food industry. 28th European Symposium on Computer Aided Process Engineering. editor / Anton Friedl ; Jiří J. Klemeš ; Stefan Radl ; Petar S. Varbanov ; Thomas Wallek. Vol. 43 Elsevier B.V., 2018. pp. 1063-1068 (Computer Aided Chemical Engineering).
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Pulluru, SJ & Akkerman, R 2018, Data-driven water-efficient production scheduling in the food industry. in A Friedl, JJ Klemeš, S Radl, PS Varbanov & T Wallek (eds), 28th European Symposium on Computer Aided Process Engineering. vol. 43, Computer Aided Chemical Engineering, vol. 43, Elsevier B.V., pp. 1063-1068. https://doi.org/10.1016/B978-0-444-64235-6.50186-8

Data-driven water-efficient production scheduling in the food industry. / Pulluru, Sai Jishna; Akkerman, Renzo.

28th European Symposium on Computer Aided Process Engineering. ed. / Anton Friedl; Jiří J. Klemeš; Stefan Radl; Petar S. Varbanov; Thomas Wallek. Vol. 43 Elsevier B.V., 2018. p. 1063-1068 (Computer Aided Chemical Engineering; Vol. 43).

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

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AB - Reuse and regeneration of water is becoming increasingly important in the food industry. Planning both water reuse and production while at the same time ensuring food safety is a challenge. We propose a novel scheduling methodology to simultaneously plan water reuse and production in food production processes utilizing real time water quality data. We develop a two-stage predictive scheduling and reactive scheduling approach taking into account the dynamic nature of water quality. Overall, our approach can prevent undesired contamination of food products due to reuse of water and achieve higher water efficiency.

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Pulluru SJ, Akkerman R. Data-driven water-efficient production scheduling in the food industry. In Friedl A, Klemeš JJ, Radl S, Varbanov PS, Wallek T, editors, 28th European Symposium on Computer Aided Process Engineering. Vol. 43. Elsevier B.V. 2018. p. 1063-1068. (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-444-64235-6.50186-8