Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/15852
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Fuzzy job shop scheduling with lot-sizing
Authors: Petrovic, Sanja
Fayad, Carole
Petrovic, Dobrila
Burke, Edmund
Kendall, Graham
Contact Email: e.k.burke@stir.ac.uk
Keywords: job shop scheduling
fuzzy rule-based system
lot-sizing
batching
fuzzy multi-objective genetic algorithm
real-world application
dispatching rules
Issue Date: Mar-2008
Publisher: Springer
Citation: Petrovic S, Fayad C, Petrovic D, Burke E & Kendall G (2008) Fuzzy job shop scheduling with lot-sizing, Annals of Operations Research, 159 (1), pp. 275-292.
Abstract: This paper deals with a problem of determining lot-sizes of jobs in a real-world job shop-scheduling in the presence of uncertainty. The main issue discussed in this paper is lot-sizing of jobs. A fuzzy rule-based system is developed which determines the size of lots using the following premise variables: size of the job, the static slack of the job, workload on the shop floor, and the priority of the job. Both premise and conclusion variables are modelled as linguistic variables represented by using fuzzy sets (apart from the priority of the job which is a crisp value). The determined lots' sizes are input to a fuzzy multi-objective genetic algorithm for job shop scheduling. Imprecise jobs' processing times and due dates are modelled by using fuzzy sets. The objectives that are used to measure the quality of the generated schedules are average weighted tardiness of jobs, the number of tardy jobs, the total setup time, the total idle time of machines and the total flow time of jobs. The developed algorithm is analysed on real-world data obtained from a printing company.
Type: Journal Article
URI: http://hdl.handle.net/1893/15852
DOI Link: http://dx.doi.org/10.1007/s10479-007-0287-9
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: University of Nottingham
University of Nottingham
Coventry University
Deputy Principal's Office
University of Nottingham

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