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Water-integrated scheduling of batch process plants: Modelling approach and application in technology selection

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  • Pulluru, Sai Jishna
  • Akkerman, Renzo

Abstract

Efficient water management is becoming increasingly important in production systems, but companies often do not have any concrete strategies to implement. While there are numerous technological options for improving water efficiency in process plants, there is a lack of effective decision support to integrate water aspects in operational decision making. This paper is based on the premise that inclusion of water reuse and related technological decisions during scheduling of production operations is essential for reduction of industrial water consumption. We develop a water-integrated scheduling approach based on mathematical programming to capture the main characteristics of water flows in batch process plants. We model water quality with a practical and generic classification scheme to effectively include water reuse and treatment possibilities. The approach is able to quantify tradeoffs between production efficiency and water efficiency. We also illustrate the use of our approach in the evaluation of water reuse and regeneration technologies for typical process industry settings. Overall, our approach is able to integrate water reuse and regeneration in a relatively efficient manner, and can help reduce industrial water consumption in process industries.

Suggested Citation

  • Pulluru, Sai Jishna & Akkerman, Renzo, 2018. "Water-integrated scheduling of batch process plants: Modelling approach and application in technology selection," European Journal of Operational Research, Elsevier, vol. 269(1), pages 227-243.
    • Handle: RePEc:eee:ejores:v:269:y:2018:i:1:p:227-243
    DOI: 10.1016/j.ejor.2017.07.009
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    References listed on IDEAS

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    1. Christodoulos Floudas & Xiaoxia Lin, 2005. "Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications," Annals of Operations Research, Springer, vol. 139(1), pages 131-162, October.
    2. Stefansson, Hlynur & Sigmarsdottir, Sigrun & Jensson, Pall & Shah, Nilay, 2011. "Discrete and continuous time representations and mathematical models for large production scheduling problems: A case study from the pharmaceutical industry," European Journal of Operational Research, Elsevier, vol. 215(2), pages 383-392, December.
    3. Julien, Benoit, 1994. "Water quality management with imprecise information," European Journal of Operational Research, Elsevier, vol. 76(1), pages 15-27, July.
    4. Sadiq, Rehan & Tesfamariam, Solomon, 2007. "Probability density functions based weights for ordered weighted averaging (OWA) operators: An example of water quality indices," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1350-1368, November.
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