Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/5479

Title

A fuzzy logic modelling of dynamic scheduling in FMS

Author(s)

Srinoi, P.;  Shayan, Ebrahim;  Ghotb, Fatemeh

Abstract

This paper is concerned with scheduling in flexible manufacturing systems (FMSs) using a fuzzy logic (FL) approach. Four fuzzy input variables: machine allocated processing time, machine priority, due date priority and setup time priority are defined. The job priority is the output fuzzy variable, showing the priority status of a job to be selected for next operation on a machine. The model will first select the machines and then assign operations based on a multi-criteria scheduling scheme. The performance of the approach is compared against established methods reported in the literature. The performance measures considered average machine utilisation, meeting due dates, setup times, work in process and mean flow times. The test results demonstrate the superiority of the fuzzy logic approach in most performance measures.

Publication type

Journal article

Research centre

Swinburne University of Technology. Faculty of Engineering and Industrial Sciences. Industrial Research Institute Swinburne

Source

International Journal of Production Research, Vol. 44, no. 11 (2006), p. 1-21

Publication year

2006

Keyword(s)

FMS scheduling;  Fuzzy scheduling;  Multicriteria scheduling

Publisher

Taylor & Francis

Format

1-21

ISSN

0020-7543

Publisher URL

http://dx.doi.org/10.1080/00207540500465493

Peer reviewed