Impact of Inspected Buffers on Production Parameters of Construction Processes |
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Authors: | Anil Sawhney Kenneth D. Walsh Howard H. Bashford Sivakumar Palaniappan |
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Affiliation: | 1Associate Professor, Del E. Webb School of Construction, Arizona State Univ., Tempe, AZ 85287-0204. E-mail: anil.sawhney@asu.edu 2AGC-Paul S. Roel Chair in Construction Engineering and Management, Dept. of Civil and Environmental Engineering, San Diego State Univ., San Diego, CA 92182-1324. E-mail: kwalsh@mail.sdsu.edu 3Associate Professor, Del E. Webb School of Construction, Arizona State Univ., Tempe, AZ 85287-0204. E-mail: howard.bashford@asu.edu 4Graduate Research Associate, Del E. Webb School of Construction, Arizona State Univ., Tempe, AZ 85287-0204. E-mail: Sivakumar.Palaniappan@asu.edu
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Abstract: | This paper examines the production implications of quality control inspections conducted on the buffer between processes in a construction project by modeling the linkage between these processes. Inspection of partially completed work at the end of one activity but before the beginning of work by the next activity is fairly common. Work that is deemed to be of sufficient quality is then made available for the next activity. Work that is deemed insufficient requires rework, typically by the trade appropriate to the activity that fed into the buffer, to bring the work into compliance. This has implications for workload management for that trade, of course, as well as for the reliability of work flow to the successor or downstream processes. While such situations are common in all construction sectors, an example from the residential construction sector was examined via a simulation model augmented by field data collected from residential construction projects. The impacts of the work flow into the predecessor process, the inspection pass rate, and resource availability were examined. The inspection pass rate was found to dramatically affect the reliability of work flow, unless resources are unlimited. Furthermore, the inspection pass rate was found to be functionally related to the production parameters of the process. |
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Keywords: | Buildings, residential Production management Resource management Simulation models Inspection Productivity Project management |
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