Abstract

How to deal with the collaboration between task decomposition and task scheduling is the key problem of the integrated manufacturing system for complex products. With the development of manufacturing technology, we can probe a new way to solve this problem. Firstly, a new method for task granularity quantitative analysis is put forward, which can precisely evaluate the task granularity of complex product cooperation workflow in the integrated manufacturing system, on the above basis; this method is used to guide the coarse-grained task decomposition and recombine the subtasks with low cohesion coefficient. Then, a multi-objective optimieation model and an algorithm are set up for the scheduling optimization of task scheduling. Finally, the application feasibility of the model and algorithm is ultimately validated through an application case study.

Original languageEnglish (US)
Article number7514430
Pages (from-to)422-433
Number of pages12
JournalJournal of Systems Engineering and Electronics
Volume27
Issue number2
DOIs
StatePublished - Apr 20 2016

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Scheduling
Decomposition
Chemical analysis

Keywords

  • integrated manufacturing system
  • optimization
  • task decomposition
  • task scheduling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Scheduling optimization of task allocation in integrated manufacturing system based on task decomposition. / Liu, Aijun; Pfund, Michele; Fowler, John.

In: Journal of Systems Engineering and Electronics, Vol. 27, No. 2, 7514430, 20.04.2016, p. 422-433.

Research output: Contribution to journalArticle

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