Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/86106
Title: Understanding task structure in DSM: Mining dependency using process event logs
Authors: Lan, L.
Liu, Y. 
Loh, H.T. 
Keywords: Decision making
Design informatics
Design process
Information management
Issue Date: 2013
Citation: Lan, L.,Liu, Y.,Loh, H.T. (2013). Understanding task structure in DSM: Mining dependency using process event logs. Proceedings of the International Conference on Engineering Design, ICED 1 DS75-01 : 69-78. ScholarBank@NUS Repository.
Abstract: Dependency Structure Matrix (DSM) has been widely used to analyze and present the inter-structure of design projects which are often characterized by many interrelated tasks. One essential role of DSM is to reveal the dependencies amongst different tasks. To succeed, it heavily relies on how well the initial dependencies are identified. Conventionally, it is accomplished by engineers through interview, survey and discussion that are obviously constrained by resource available in performing such activities. Hence, its liability heavily relies on the understanding of engineers. Moreover, for a complex design project where a higher number of tasks are involved, to gain a comprehensive understanding of their intricate relationships is also a non-trivial task. In order to tackle this, in this paper, we propose a flexible approach to mine dependency from process event logs which dynamically record the detailed information of task execution in a real context. Using process event logs, a number of dependencies can be steadily discovered and derived by focusing on different subsets of data for specific purposes. In the end, a case study is used to illustrate the proposed approach.
Source Title: Proceedings of the International Conference on Engineering Design, ICED
URI: http://scholarbank.nus.edu.sg/handle/10635/86106
ISBN: 9781904670445
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.