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Research Directions |
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1. Case study on information dependency problem in
construction project organizations: We identified the information dependencies
between selected construction activities and the corresponding agents executing
these activities. We tried to model the process using standard IDEF0 process
models and by incorporating the variability and sensitivity of the
information items needed for each activity. This case study showed that
variability and sensitivity are very subjective measures and it is hard to
characterize every information item accurately based on these dimensions (Pekericli et al. 2003). 2. Case study on some characteristics of information
processes and dependencies between different agents in a construction project
team: During
a period of eight weeks, we attended weekly coordination meetings of a
construction project to identify information dependencies between attending
parties. Observations showed that information dependencies among project
participants can potentially create delays in resolving outstanding agenda
items and hence can delay the construction process (Pekericli et al. 2004). 3. Case study on data capture on a construction site and
data transfer from the construction job site to the field office: We have conducted a case study
on a highway construction project and identified activities in data capture
and transfer processes, agents performing those activities, data input to and
output from each process, timing and accuracy of information transferred via
these processes. We created a process model for current data capture and
transfer processes in construction sites, and two additional process models for
the same case reflecting the utilization of different data capture
technologies (Kiziltas and Akinci 2005).
Details of the case study can be also
reached at the forthcoming paper entitled as “A Framework for
Modeling and Analyzing Impacts of Automated Reality Capture Technologies on
Data Capture and Transfer on Construction Sites” in Journal of Construction Engineering and
Management. Modeling Service Supply-chain Networks
To
understand the benefits of coordination in this service network, we developed
a mathematical model of an overloaded service system that involves repeated
interactions among decisions-makers (Karaesmen
2004, Karaesmen and
Pundoor 2004). To understand chaotic behavior in networks, we
simulated the decision-making mechanism for a simplified logistics network
where goods are ordered and distributed among different parties, and analyzed
whether the system exhibits chaotic behavior (Frommer
and Karaesmen 2004). Details
of these models can be also reached at the forthcoming papers entitled as
“Practical
Implications of Chaos in Supply Chains” to be submitted to the System Dynamics Review and “Centralized vs. Decentralized
Planning in Service Networks” to be submitted to the Manufacturing and Service Operations
Management (M&SOM). Simulation environment
A static, discrete and stochastic simulation environment has been developed for modeling the current data capture and transfer processes and for assessing the impact of various data capture technologies on these processes. The simulation has been designed to represent these processes- occurring within a construction site- in the system for a typical day. Click here to read more about the simulation environment and the case study process modeled using this environment. |
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Overview · People · Research · Publications · Links © 2005 IDeASNet Project - |
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