Unification of STN and RTN based models for short-term scheduling of batch plants with shared resources

Munawar A. Shaik, Ramsagar Vooradi

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

State-task-network (STN) and resource-task-network (RTN) representations are popularly used for formulating mathematical models of scheduling problems. In contrast to STN representation, RTN representation offers unified treatment for different resources such as processing and storage units, material states and utilities. In global-event (or single-time grid) based models processing tasks occurring in different units are aligned globally, hence, they explicitly do not distinguish handling of resources such as utilities and material states. While, unit-specific event (or multi-time grid) based models offer better computational performance due to requirement of lesser number of events, but there is no unified treatment for handling of utility or discrete resources due to heterogeneous location of events. Usually, global alignment is enforced for different tasks that use the same utility, while for material states unit-specific alignment is used. Hence, for unit-specific event-based models it is desirable to have a unified framework for handling of material states and utility resources, which, not only offers a unification of STN and RTN formulations, but, potentially can result in further reduction in the number of events required to find optimal solutions. In this work, we propose a unified framework and develop two unit-specific event-based approaches for STN and RTN representations by incorporating a novel resource balance that offers these two unifications. The key features of the proposed approach are: (i) all resources are treated in unified way for the first time, (ii) simplified handling of multiple orders using the concept of active task, (iii) handling of shared storage problems in non-aggregated storage tanks by considering explicit storage tasks. The proposed features are demonstrated on few benchmark examples from literature.

Original languageEnglish
Pages (from-to)104-124
Number of pages21
JournalChemical Engineering Science
Volume98
DOIs
Publication statusPublished - Jul 9 2013
Externally publishedYes

Keywords

  • Batch
  • Mathematical modeling
  • Optimization
  • Process systems
  • Resources
  • Scheduling

ASJC Scopus subject areas

  • General Chemistry
  • General Chemical Engineering
  • Industrial and Manufacturing Engineering

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