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Conference Papers Year : 2017

A Process Mining Based Approach to Support Decision Making

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Abstract

Currently, organizations tend to reuse their past knowledge to make good decisions quickly and effectively and thus, to improve their business processes performance in terms of time, quality, efficiency, etc. Process mining techniques allow organizations to achieve this objective through process discovery. This paper develops a semi-automated approach that supports decision making by discovering decision rules from the past process executions. It identifies a ranking of the process patterns that satisfy the discovered decision rules and which are the most likely to be executed by a given user in a given context. The approach is applied on a supervision process of the gas network exploitation.
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Dates and versions

hal-01764180 , version 1 (11-04-2018)

Licence

Attribution - CC BY 4.0

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Widad Es-Soufi, Esma Yahia, Lionel Roucoules. A Process Mining Based Approach to Support Decision Making. 14th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2017, Seville, Spain. pp.264-274, ⟨10.1007/978-3-319-72905-3_24⟩. ⟨hal-01764180⟩
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