Formalizing a Procedure for Generating Uncertain Resource Availability Assumptions Based On Real Time Logistic Data Capturing with Auto-ID Systems for Reactive Scheduling

As one result of the project “Reactive Construction
Project Scheduling using Real Time Construction Logistic Data and
Simulation”, a procedure for using data about uncertain resource
availability assumptions in reactive scheduling processes has been
developed. Prediction data about resource availability is generated in
a formalized way using real-time monitoring data e.g. from auto-ID
systems on the construction site and in the supply chains. The paper
focusses on the formalization of the procedure for monitoring
construction logistic processes, for the detection of disturbance and
for generating of new and uncertain scheduling assumptions for the
reactive resource constrained simulation procedure that is and will be
further described in other papers.





References:
[1] D. W. Halpin, An Investigation of the Use of Simulation Networks for
Modeling Construction Operations. Ann Arbor, Mich., 1973.
[2] M. König, U. Beißert, D. Steinhauer, and H.-J. Bargstädt, “Constraint-
Based Simulation of Outfitting Processes in Shipbuilding and Civil
Engineering”, in Proc. 6th EUROSIM Congress on Modeling and
Simulation, Ljubljana, Slovenia, 2007.
[3] K. Ailland, and H.-J. Bargstädt, “Workday-related Schedule Monitoring
on Construction Sites Using Simulation”, in Advances in simulation for
production and logistics applications, M. Rabe, Ed., Stuttgart: IRB,
2008, pp. 169-178.
[4] K. Szczesny, M. König, L. Laußat, and M. Helmus, “Integration of
uncertain real-time logistics data for reactive scheduling using fuzzy set
theory”, in Proc. of the ISARC 2013, Montréal, 2013.
[5] E. Jaselskis, M. Anderson, C. Jahren, Y. Rodriguez, and S. Njos, “Radio
Frequency Identification Applications in Construction Industry”, in
Construction Engineering and Management, June, 1995, pp. 189-196.
[6] M. Helmus, A. Kelm, L. Laußat, and A. Meins-Becker, RFID in der
Baulogistik, Wiesbaden: Vieweg & Teubner, 2009.
[7] M. Helmus, A. Kelm, L. Laußat, and A. Meins-Becker, RFID-Baulogistikleitstand,
Wiesbaden: Vieweg & Teubner, 2011.
[8] C. Klaubert, Entwicklung eines RFID-basierten Informations- und
Kommunikationssystems für die Baulogistik, München, 2011.
[9] L. Laußat, „Identifikation von Ablaufstörungen in Logistikprozessen als
Beitrag für die Baustellensteuerung und Bauablaufplanfortschreibung“,
in Tagungsband 23. Assistententreffen der Bereiche Bauwirtschaft, Baubetrieb
und Bauverfahrenstechnik, Düsseldorf: VDI, 2012, pp. 57-71.
[10] L. Laußat, and M. Helmus, “Uncertain and real-time Construction
Logistic Data for proactive-reactive simulation-based Scheduling”, in
Proc. 7th ISEC, Honolulu, 2013, pp. 1273-1278.
[11] L. Laußat, A. Kelm, A. Meins-Becker, and M. Helmus, “Processes of
ID-based linking of structural relevant construction phase data to
planning phase data using auto-ID techniques”, in Proc. 5th SEMC,
Capetown, 2013, pp. 1807-1812.
[12] M. Helmus, J. Bredehorn, A. Kelm, L. Laußat, and A. Meins-Becker,
„RFID und BIM – Konsistente Datenerkennung im modellbasierten
Planungs-, Arbeitsvorbereitungs- und Logistikprozessen“, in Bauingenieur
VDI Bautechnik Jahresausgabe 2013/2014, 2013, pp. 91-100.
[13] L. A. Zadeh, “Fuzzy sets”, in Information and Control, 8 (3), 1965, pp.
338-353.