Paper Title:
Research on Coupled Tasks’ Sequence Optimization Based on Qualitative and Quantitative Partial Order
  Abstract

The different sequences of the coupled tasks set lead to different development cycles, so optimizing sequences is a key for reconstructing complex product development process. As there are overall iterations stemming from activities’ coupling in complex product design process, this paper first proves two propositions of ordering coupled tasks by stochastic process theory: 1) more shorter the development cycle of a coupled activities subset is , more shorter the development cycle of the entire coupled activities set is. 2) If the execution sequence of the coupled activities set is changed, the development cycle of the coupled tasks set will also change. When execution order of two activities is converted into partial order of two elements, this paper presents a sequence optimization algorithm based on qualitative and quantitative partial order (SOQQ) from these two propositions. Simulation has been used to confirm SOQQ algorithm’ validity and high efficiency.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4601-4605
DOI
10.4028/www.scientific.net/AMM.121-126.4601
Citation
Z. L. Wang, Y. X. Wang, Y. Z. Ma, "Research on Coupled Tasks’ Sequence Optimization Based on Qualitative and Quantitative Partial Order", Applied Mechanics and Materials, Vols. 121-126, pp. 4601-4605, 2012
Online since
October 2011
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Price
$32.00
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