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Processes 2016, 4(3), 30; doi:10.3390/pr4030030

Incorporating Enhanced Decision-Making Capabilities into a Hybrid Simulator for Scheduling of Batch Processes

Batch Process Technologies, Inc., 112 Eden Court, West Lafayette, IN 47906, USA
Academic Editor: Michael Henson
Received: 18 May 2016 / Revised: 23 July 2016 / Accepted: 30 August 2016 / Published: 2 September 2016
View Full-Text   |   Download PDF [2348 KB, uploaded 2 September 2016]   |  


A simulation model can accurately capture the details of product recipes in a batch process. By incorporating enhanced capabilities for making key assignment decisions in the simulation executive a model can mimic the experiential knowledge and rules employed in operating a process. As the process complexity and problem size increase using the mathematical programming (MP) techniques to generate schedules becomes increasingly difficult. A simulation run typically takes very little computation time and generates a schedule that is verifiable. Moreover, the model can be used to explore a wide range of parametric space to evaluate alternate policies and the impact of process uncertainties. Although there is no guarantee of optimality, the quality of schedules thus generated is very good and can be deployed in operations. In this paper the decision-making capabilities of the BATCHES simulator are presented with its application to a set of scheduling problems reported extensively in the literature. The results show that ‘smart’ simulation can be used effectively for a large set of scheduling problems. View Full-Text
Keywords: hybrid simulation; scheduling; heuristics; batch processes; recipe modeling hybrid simulation; scheduling; heuristics; batch processes; recipe modeling

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Joglekar, G. Incorporating Enhanced Decision-Making Capabilities into a Hybrid Simulator for Scheduling of Batch Processes. Processes 2016, 4, 30.

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