Scheduling of hybrid chemical plants using First-Order Hybrid Petri Nets

Hybrid Petri Net is a popular formalism in modelling hybrid production systems. Due to their hybrid nature, scheduling and throughput optimization of these systems are complex problems. A notable amount of researches have been done on different methods for scheduling of either continuous or batch ch...

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Main Authors: Vatani, M., Doustmohammadi, A., Menhaj, M. B.
Format: Conference Proceeding
Language:English
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first order hybrid Petri nets
hybrid chemical plants
optimization
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Doustmohammadi, A.
Menhaj, M. B.
description Hybrid Petri Net is a popular formalism in modelling hybrid production systems. Due to their hybrid nature, scheduling and throughput optimization of these systems are complex problems. A notable amount of researches have been done on different methods for scheduling of either continuous or batch chemical plants, however there is a lack of research in the scheduling of mixed batch/continuous systems. In this paper, First-Order Hybrid Petri Net (FOHPN) is used to model a mixed batch/continuous chemical plant. A sugar milling case study is analyzed using FOHPN and the optimization results are compared with those of integrated Timed Arc Hybrid Petri Nets (TAHPN) and Genetic Algorithm (GA) approach, and Mixed Integer Linear Programming (MILP) approach presented in other papers. Simulation results not only show an improvement in production rates, but they also show considerable reduction in computation time. This reduction in computational time enables one to control the plant in real time through a supervisory control scheme.
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B.</creatorcontrib><description>Hybrid Petri Net is a popular formalism in modelling hybrid production systems. Due to their hybrid nature, scheduling and throughput optimization of these systems are complex problems. A notable amount of researches have been done on different methods for scheduling of either continuous or batch chemical plants, however there is a lack of research in the scheduling of mixed batch/continuous systems. In this paper, First-Order Hybrid Petri Net (FOHPN) is used to model a mixed batch/continuous chemical plant. A sugar milling case study is analyzed using FOHPN and the optimization results are compared with those of integrated Timed Arc Hybrid Petri Nets (TAHPN) and Genetic Algorithm (GA) approach, and Mixed Integer Linear Programming (MILP) approach presented in other papers. Simulation results not only show an improvement in production rates, but they also show considerable reduction in computation time. 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B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vatani, M.</au><au>Doustmohammadi, A.</au><au>Menhaj, M. 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subjects first order hybrid Petri nets
hybrid chemical plants
optimization
title Scheduling of hybrid chemical plants using First-Order Hybrid Petri Nets
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