Title: Intelligent and cooperative manufacturing planning

Authors: W.D. Li, L. Gao

Addresses: Faculty of Engineering and Computing, Coventry University, Coventry, UK. ' State Key Laboratory of Digital Manufacturing Equipment and Technology, Department of Industrial and Manufacturing System Engineering, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China

Abstract: In this research, several intelligent strategies have been developed to build up cooperative Process Planning and Scheduling (CPPS). Three game theory-based strategies have been introduced to analyse the cooperative integration of the two processes in a systematic way. To address the multiple constraints in the CPPS problem, a fuzzy logic-based Analytical Hierarchical Process (AHP) technique has been applied. In the meantime, modern heuristic algorithms have been developed and applied to the CPPS problem to identify optimal or near-optimal solutions from the vast search space efficiently. Experiments have been conducted and results show the objectives of the research have been achieved. [Received 31 December 2008; Revised 9 August 2009; Accepted 17 August 2009]

Keywords: CPPS; cooperation; process planning; scheduling; game theory; fuzzy AHP; analytical hierarchical process; fuzzy logic; intelligent algorithms; intelligent planning; cooperative planning; manufacturing planning.

DOI: 10.1504/IJMR.2010.029662

International Journal of Manufacturing Research, 2010 Vol.5 No.1, pp.39 - 57

Published online: 30 Nov 2009 *

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