Title: A performance-based Bayesian method for the optimisation of manufacturing resources collaboration

Authors: Jian Zhou, Qing Li, Qing Wang, Dafeng Xu, Tianyuan Xiao

Addresses: Department of Industrial Engineering, Tsinghua University, Beijing, 100084, PR China; Department of Automation, Tsinghua University, Beijing, 100084, PR China; Division of Logistic Affairs, National University of Defense Technology, Changsha, 410073, PR China. ' Department of Automation, Tsinghua University, Beijing, 100084, PR China. ' Department of Automation, Tsinghua University, Beijing, 100084, PR China. ' Department of Automation, Tsinghua University, Beijing, 100084, PR China. ' Department of Automation, Tsinghua University, Beijing, 100084, PR China

Abstract: In this paper, a performance-based Bayesian method, namely a method based on the research of probabilistic relationship between performance influence factors, is put forward and is used to optimise manufacturing resources collaboration. Firstly, a method for probability dependency relationship modelling between the performance values of different manufacturing resource nodes is proposed. Secondly, an extended general method and its application approach are discussed correspondingly. At last, a simulation model based upon system dynamics for the proposed method is established and its validity for the effectiveness and efficiency of the manufacturing resources collaboration has been tested by a case study.

Keywords: manufacturing resources collaboration; optimisation; Bayesian method; performance evaluation; system dynamics; simulation; probabilistic relationships; modelling.

DOI: 10.1504/IJMTM.2009.024617

International Journal of Manufacturing Technology and Management, 2009 Vol.18 No.1, pp.1 - 14

Published online: 12 Apr 2009 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article