Publication Type
Journal Article
Version
submittedVersion
Publication Date
1-2010
Abstract
Production configuration is as an effective technique to deal with product variety while maintaining production stability and efficiency. It involves a diverse set of process elements (e.g., machines, operations), a high variety of component parts and assemblies and many constraints arising from product and process variety. Production configuration entails the selection and subsequent arrangement of process elements into complete production processes and the final evaluation of configured multiple alternatives. To better understand production configuration and its implementation, we study the underlying logic for configuring production processes using a dynamic modelling and visualisation approach. This is accomplished by developing a new formalism of nested coloured timed Petri nets (PNs). In view of the inherent modelling difficulties, in the formalism three types of nets-process nets, assembly nets and manufacturing nets-together with a nested net system are defined. Using an industrial example of vibration motors, we show how the proposed formalism can be applied to specify production processes at different levels of abstraction to achieve production configuration.
Keywords
process platform, production configuration, Petri nets, modelling
Discipline
Operations and Supply Chain Management
Research Areas
Operations Management
Publication
International Journal of Production Research
Volume
48
Issue
6
First Page
1805
Last Page
1833
ISSN
0020-7543
Identifier
10.1080/00207540802585329
Publisher
Taylor and Francis
Citation
ZHANG, Lianfeng and RODRIGUES, Brian.
Nested coloured timed Petri nets for production configuration of product families. (2010). International Journal of Production Research. 48, (6), 1805-1833.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/1822
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/00207540802585329