The Collaborative DSM: a new way to handle complex collaborative planning and scheduling processes

DSM 14 Proceedings of the 16th International DSM conference: Risk and Change management in complex systems

Year: 2014
Editor: Marle, F.; Jankovic, M.; Maurer, M.; Schmidt, D. M.; Lindemann, U.
Author: Baudin, M.; Bonnal, P.; Ruiz, J.- P.
Series: DSM
Section: Process Management in Complex Projects
Page(s): 267-276

Abstract

Planning and scheduling projects, but also maintenance activities in large scientific facilities result in complex dependencies between tasks. Handling such dependencies becomes a non-trivial problem as the number of tasks to consider grows. DSM offers solutions to handle such complex sequences of processes, but lacks expressivity when it comes to characterizing the dependencies. Adding collaboration in the pictures makes the problem even more difficult to solve, with the need of communication, but also the different roles to handle and the compromises to reach in case of conflicts. Artificial Intelligence offers with qualitative algebras means to work on these issues, and enable to take complexity and collaboration into account in a new parameterized DSM to plan and schedule more efficiently in such contexts.

Keywords: Planning and scheduling, collaboration, DSM, A.I., qualitative temporal algebras

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