Decision support system for continuous production
Abstract
Purpose
The purpose of this paper is to develop energy optimizer (ENEO) – a model‐based decision support system (DSS) for an existing European chemical plant with a multi‐stage continuous production process. The system comprises two modules – energy cost minimization and joined energy cost minimization and output maximization. Following the description of the researched production, the paper presents a gist of the underlying formulations. Then, it tests the DSS on real data instances with a focus on its configuration, practical implications and implementation challenges.
Design/methodology/approach
The design of the planning tool is consistent with that of the model‐based DSS and based on the existing information systems. The defined research problems are explored with the use of quantitative methods – the operations research methodology.
Findings
The findings show that ENEO reflects the essence of the researched production process and can provide benefits in practical business operations.
Research limitations/implications
Both the proposed system configuration and the formulated models lay a foundation to further research within the described industrial setting.
Practical implications
The system can be utilized in daily operations to provide substantial cost savings, improved capacity utilization and reactivity.
Originality/value
This paper contributes to research by bridging the gap between theory and practice. On the one hand, it describes an unexplored problem and its subsequent solution embodied in the DSS. On the other hand, it emphasizes the importance of applying the operations research methodology to the real‐world issues. Therefore, this work is valuable to both academics and practitioners.
Keywords
Citation
Bakhrankova, K. (2010), "Decision support system for continuous production", Industrial Management & Data Systems, Vol. 110 No. 4, pp. 591-610. https://doi.org/10.1108/02635571011039043
Publisher
:Emerald Group Publishing Limited
Copyright © 2010, Emerald Group Publishing Limited