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

Authors: Lars Laußat, Manfred Helmus, Kamil Szczesny, Markus König

Abstract:

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.

Keywords: Auto-ID, Construction Logistic, Fuzzy, Monitoring, RFID, Scheduling.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096640

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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.