DocumentCode :
2962889
Title :
Contributors to lead time in construction supply chains: case of pipe supports used in power plants
Author :
Arbulu, R.J. ; Tommelein, Iris D. ; Walsh, Kenneth D. ; Hershauer, James C.
Author_Institution :
Civil & Environ. Eng. Dept., California Univ., Berkeley, CA, USA
Volume :
2
fYear :
2002
fDate :
8-11 Dec. 2002
Firstpage :
1745
Abstract :
This paper describes process models that characterize the design phase in the supply chain of pipe supports used in power plants. The models are used to study how production system design factors such as batching, uncertainty, and multitasking throughout this phase hamper supply chain performance. These factors all cause an increase in lead time. The models build on the STROBOSCOPE discrete-event simulation engine and illustrate several deterministic and probabilistic simulation scenarios including different batch sizes, uncertainty levels, and allocation percentages of shared resources. Based on the analysis of the simulation results, this paper recommends performance improvement opportunities that apply not only to the supply chain of pipe supports but generally to the delivery of capital projects.
Keywords :
construction industry; discrete event simulation; power plants; project management; supply chain management; STROBOSCOPE discrete-event simulation engine; allocation percentages; batch sizes; batching; capital project delivery; construction supply chains; deterministic simulation; lead time; multitasking; performance improvement; pipe supports; power plants; probabilistic simulation; process models; production system design factors; shared resources; uncertainty levels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN :
0-7803-7614-5
Type :
conf
DOI :
10.1109/WSC.2002.1166460
Filename :
1166460
Link To Document :
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