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Design Science Journal
Papers

Discovering Hidden Tasks and Process Structure through Email Logs for DSM

Discovering Hidden Tasks and Process Structure through Email Logs for DSM

Year: 2014

Section: Dependencies between Tasks and Processes

Editor: Marle, F.; Jankovic, M.; Maurer, M.; Schmidt, D. M.; Lindemann, U.

Author: Lan, L.; Liu, Y.; Lu, W. F.

Series: DSM

Section: Dependencies between Tasks and Processes

Pages: 243-253

Abstract

The design structure matrix (DSM) method is a powerful network modelling tool to highlight the system architecture via presenting the interactions between the elements comprising a system. In DSM, measuring the interaction strength between elements is the first and crucial step. However, since the system elements are generally pre-identified by experts, their interaction relationships are often obtained from experts’ evaluation, which is time consuming and error-prone. To address this critical issue, in this paper, we aim to discover the hidden tasks of a process and their interactions from email logs with domain-specific contents. To this purpose, we have proposed a three-stage numerical DSM modeling approach, where text mining and clustering techniques are studied to discover hidden tasks. Furthermore, a metric concerning the measurement of interaction strength based on the overlapping time and the volume of exchanged information is presented. A case study is provided based on the emails collected from a design project.

Keywords: DSM, process structure, interaction strength, email log, text mining, clustering

ds endorsed conferenceDSM 2014 International Dependency and Structure Modelling DSM Conference 2014. Paris France. 2 July 2014 – 4 July 2014 CALL FOR PAPERS

Dependency and Structure Modelling (DSM) techniques support complex system design by focusing attention on system elements and their interdependencies related to all domains: product, process and organization. For this 2014 edition, we would like to invite original scholarly work related to modeling, analysis and prediction of risk and change management in complex systems. Emergence is one of complex system properties stemming from its’ complexity, whether desired or not. This complexity makes it...

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