Handling a Design Structure Matrix Based on Fuzzy Data

Bonnal, Philippe; Baudin, M.; Ruiz, Julio Manuel de Luis

doi:10.3139/9783446434127.016

Cited by 1 publication

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“…Finally, the situation described above might actually never be encountered in engineering projects, where precise dates and durations are often missing, and where one often has to deal with imprecise temporal knowledge. In such cases, using fuzzy durations could be tempting, as suggested in [34] and shown in Figure 7. A duration can be associated to a fuzzy interval, thus enabling several possible durations (and as many possible schedules) for the same activity based on one single linguistic descriptor (a small week, about an hour etc.).…”

Section: Further Developmentsmentioning

confidence: 99%

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Combining Activity DSM with Temporal Logic for Collaborative Planning and Scheduling

Baudin

Bonnal

Ruiz

2013

International Journal of Advanced Robotic Systems

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This work presents an approach that implements enhanced scheduling algorithms to plan and schedule interventions in scientific facilities emitting various types of ionizing radiation such as the ones present at CERN in Geneva, (Switzerland) or at GSI in Darmstadt (Germany). To deal with the collaborative process of activity creation and submission used in those organizations, we propose a framework to set the appropriate sequence or skeleton for the activities. This framework combines Allen's Interval Algebra and DSM (Design Structure Matrix). It enables the sequence of activities to be automatically computed while gathering and taking into account the needs of users and testing their compatibility. It also deals with technical-type or resource-type constraints between activities as well as incompatible submissions. The work described in this paper includes details of the collaborative submission process and introduces suggestions for compromising as well as temporal calculations with the introduction of parameterized DSMs rather than binary ones.

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Section: Further Developmentsmentioning

confidence: 99%

“…In such cases, using fuzzy durations could be tempting, as suggested in [34] and shown in Figure 7. A duration can be associated to a fuzzy interval, thus enabling several possible durations (and as many possible schedules) for the same activity based on one single linguistic descriptor (a small week, about an hour etc.).…”

Section: Further Developmentsmentioning

confidence: 99%