Design of an intelligent manufacturing scheduling and control system using fuzzy logic: Sensitivity analysis and parameter optimization

Article type: Research Article

Authors: Monfared, M.A.S. | Yang, J.B.

Affiliations: Department of Industrial Engineering, The University of Alzahra, Vanak St., 1993891176, Tehran, Iran | Manchester School of Management, UMIST, Manchester M60 1QD, UK

Note: [] Corresponding author. E-mail: mas_monfared@alzahra.ac.ir

Abstract: Techniques and concepts from fuzzy logic theory, control theory, and optimisation theory are integrated together, to provide a novel intelligent manufacturing control system that operates in real-time, and is capable of responding to both structural and order related disturbances in a fully automated manner. In this paper we further developed our previous research on a second order intelligent scheduling and control system by performing an extensive sensitivity analysis and parameter optimization in order to achieve an optimal scheduling and control system.

Keywords: intelligent manufacturing, fuzzy predictive, scheduling, optimal control, sensitivity analysis

Journal: Journal of Intelligent & Fuzzy Systems, vol. 15, no. 2, pp. 89-104, 2004