Loading…
Knowledge-based process management – an approach to handling adaptive workflow
In recent years, many organisations have found enterprise modelling, especially business process modelling, to be an effective tool for managing organisational change. The application of business processing modelling has brought benefits to many organisations, but the models developed tend to be use...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Default Article |
| Published: |
2003
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/2348 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1818175438320566272 |
|---|---|
| author | Paul Chung Larry Y.C. Cheung J. Stader P. Jarvis J. Moore A. Macintosh |
| author_facet | Paul Chung Larry Y.C. Cheung J. Stader P. Jarvis J. Moore A. Macintosh |
| author_sort | Paul Chung (1250973) |
| collection | Figshare |
| description | In recent years, many organisations have found enterprise modelling, especially business process modelling, to be an effective tool for managing organisational change. The application of business processing modelling has brought benefits to many organisations, but the models developed tend to be used for reference during business operations and re-engineering activities; they rarely play an active role in supporting the day-to-day execution of the processes. While workflow management systems are widely used for the streamlined management of "administrative" business processes, current systems are unable to cope with the more dynamic situations encountered in ad-hoc and collaborative processes [1]. A system that supports complex and dynamically changing processes is required. There is increasing interest in making workflow systems more adaptive [8][20] and using knowledge-based techniques to provide more flexible process management support than is possible Published in Knowledge-based Systems, Vol 16, 2003, pp149-160 Page 2 using current workflow systems [4][21]. This paper describes the results of a collaborative project between Loughborough University and the University of Edinburgh. ICI and Unilever were industrial partners on the project, providing real business requirements in the application domain. The project investigated the use of ontologies, agents and knowledge based planning techniques to provide support for adaptive workflow or flexible workflow management, especially in the area of new product development within the chemical industries. |
| format | Default Article |
| id | rr-article-9401636 |
| institution | Loughborough University |
| publishDate | 2003 |
| record_format | Figshare |
| spelling | rr-article-94016362003-01-01T00:00:00Z Knowledge-based process management – an approach to handling adaptive workflow Paul Chung (1250973) Larry Y.C. Cheung (7168325) J. Stader (7168328) P. Jarvis (7168331) J. Moore (3458921) A. Macintosh (7168334) Other information and computing sciences not elsewhere classified workflow management adaptive workflow knowledge-based process management process modeling agent selection Information and Computing Sciences not elsewhere classified In recent years, many organisations have found enterprise modelling, especially business process modelling, to be an effective tool for managing organisational change. The application of business processing modelling has brought benefits to many organisations, but the models developed tend to be used for reference during business operations and re-engineering activities; they rarely play an active role in supporting the day-to-day execution of the processes. While workflow management systems are widely used for the streamlined management of "administrative" business processes, current systems are unable to cope with the more dynamic situations encountered in ad-hoc and collaborative processes [1]. A system that supports complex and dynamically changing processes is required. There is increasing interest in making workflow systems more adaptive [8][20] and using knowledge-based techniques to provide more flexible process management support than is possible Published in Knowledge-based Systems, Vol 16, 2003, pp149-160 Page 2 using current workflow systems [4][21]. This paper describes the results of a collaborative project between Loughborough University and the University of Edinburgh. ICI and Unilever were industrial partners on the project, providing real business requirements in the application domain. The project investigated the use of ontologies, agents and knowledge based planning techniques to provide support for adaptive workflow or flexible workflow management, especially in the area of new product development within the chemical industries. 2003-01-01T00:00:00Z Text Journal contribution 2134/2348 https://figshare.com/articles/journal_contribution/Knowledge-based_process_management_an_approach_to_handling_adaptive_workflow/9401636 CC BY-NC-ND 4.0 |
| spellingShingle | Other information and computing sciences not elsewhere classified workflow management adaptive workflow knowledge-based process management process modeling agent selection Information and Computing Sciences not elsewhere classified Paul Chung Larry Y.C. Cheung J. Stader P. Jarvis J. Moore A. Macintosh Knowledge-based process management – an approach to handling adaptive workflow |
| title | Knowledge-based process management – an approach to handling adaptive workflow |
| title_full | Knowledge-based process management – an approach to handling adaptive workflow |
| title_fullStr | Knowledge-based process management – an approach to handling adaptive workflow |
| title_full_unstemmed | Knowledge-based process management – an approach to handling adaptive workflow |
| title_short | Knowledge-based process management – an approach to handling adaptive workflow |
| title_sort | knowledge-based process management – an approach to handling adaptive workflow |
| topic | Other information and computing sciences not elsewhere classified workflow management adaptive workflow knowledge-based process management process modeling agent selection Information and Computing Sciences not elsewhere classified |
| url | https://hdl.handle.net/2134/2348 |