Abstract

Biannual bridge inspections are federally mandated for hundreds of thousands of bridges in the United States. This represents a significant expenditure of labor and equipment resources. Lean engineering is a framework to improve the efficiency of processes, which was applied to the bridge inspection process in this work. Thirty-two routine bridge inspections were shadowed and analyzed as a four-stage process (consisting of document review, mobilization and demobilization, onsite inspection, and report writing) that included 52 distinct activities. Each activity that occurred during a shadowed bridge inspection was categorized as value added or by type of waste. Most of the time was considered value added, but several types of waste were identified for possible reduction. Statistical analysis showed significant differences in the duration of bridge inspection for certain bridge types and inspection equipment utilized. With the many aging bridges in the United States, utilizing lean engineering to identify areas for further improvement has the potential for reducing the effort of routine bridge inspection.

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Data Availability Statement

All data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

Financial support for this research was provided by the National University Transportation Center Consortium's Center for Advanced Infrastructure and Transportation (CAIT), under Grant/Contract No. DTRT13-G-UTC28. The in-kind support of Delaware Department of Transportation and Whitman, Requardt & Associates, LLP in facilitating shadowing activities is also gratefully acknowledged. Thanks to Tracy Bibelnieks for data visualization consulting.

References

AASHTO. 2019. Manual for bridge element inspection. 2nd ed. Washington, DC: AASHTO.
Agrawal, A., and S. Alampalli. 2010. Inspection needs of deteriorating bridge components, 564–571. London: Taylor & Francis.
ASCE. 2017. 2017 Report card for America’s infrastructure, bridges. Reston, VA: ASCE.
DuBose, B. 2016. “Drones seen as safer, cheaper choice for bridge inspections.” Mater. Perform. 55 (11): 28–31.
Erol, H., I. Dikmen, and M. T. Birgonul. 2017. “Measuring the impact of lean construction practices on project duration and variability: A simulation-based study on residential buildings.” J. Civ. Eng. Manage. 23 (2): 241–251. https://doi.org/10.3846/13923730.2015.1068846.
Estes, A. C., and D. M. Frangopol. 2003. “Updating bridge reliability based on bridge management systems visual inspection results.” J. Bridge Eng. 8 (6): 374–382. https://doi.org/10.1061/(ASCE)1084-0702(2003)8:6(374).
Garrett, D. F., and J. Lee. 2010. “Lean construction submittal process—A case study.” Qual. Eng. 23 (1): 84–93. https://doi.org/10.1080/08982112.2010.495100.
Garza-Reyes, J. A., M. Al-Balushi, J. Antony, and V. Kumar. 2016. “A lean Six sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry.” Prod. Plann. Control 27 (13): 1092–1111. https://doi.org/10.1080/09537287.2016.1185188. https://doi.org/10.1080/09537287.2016.1185188.
Ghasemi, A., and S. Zahediasl. 2012. “Normality tests for statistical analysis: A guide for non-statisticians.” Int. J. Endocrinol. Metab. 10 (2): 486–489. https://doi.org/10.5812/ijem.3505. https://doi.org/10.5812/ijem.3505.
Gillins, M. N., D. T. Gillins, and C. Parrish. 2016. “Cost-effective bridge safety inspections using unmanned aircraft systems (UAS).” In Geotechnical and Structural Engineering Congress 2016, edited by C. Yoga Chandran and M. I. Hoit, 1931–1940. Reston, VA: ASCE.
Hilton, M. H. 1985. Application of close-range terrestrial photogrammetry to bridge structures. Charlottesville, VA: Virginia Highway & Transportation Research Council.
Hines, P., and N. Rich. 1997. “The seven value stream mapping tools.” Int. J. Oper. Prod. Manage. 17 (1): 46–64. https://doi.org/10.1108/01443579710157989. https://doi.org/10.1108/01443579710157989.
Jauregui, D. V., and K. R. White. 2003. “Implementation of virtual reality in routine bridge inspection.” Transp. Res. Rec. 1827: 29–35. https://doi.org/10.3141/1827-04.
Jauregui, D. V., and K. R. White. 2005. “Bridge inspection using virtual reality and photogrammetry.” In Vol. 1 of Inspection and monitoring techniques for bridges and civil structures, edited by G. Fu, 1: 216–246. Abington, UK: Woodhead.
Kim, C. S., D. A. Spahlinger, J. M. Kin, and J. E. Billi. 2006. “Lean health care: What can hospitals learn from a world-class automaker?” J. Hosp. Med. 1 (3): 191–199. https://doi.org/10.1002/jhm.68.
Leite, H. d. R., and G. E. Vieira. 2015. “Lean philosophy and its applications in the service industry: A review of the current knowledge.” Production 25 (3): 529–541. https://doi.org/10.1590/0103-6513.079012.
Madanat, S., and D.-J. Lin. 2000. “Bridge inspection decision making based on sequential hypothesis testing methods.” Transp. Res. Rec. 1697: 14–18. https://doi.org/10.3141/1697-03.
McDonald, J. H. 2015. “One-way ANOVA.” In Handbook of biological statistics. 3rd ed., 145–156. Baltimore: Sparky House Publishing.
Moore, M., B. M. Phares, B. Graybeal, D. Rolander, and G. Washer. 2001. Vol. 1 of Reliability of visual inspection for highway bridges. No. FHWA-RD-01-105. McLean, VA: Turner-Fairbank Highway Research Center.
NIST/SEMATECH. 2012. Tukey’s method. E-handbook of statistical methods. Washington, DC: US Dept. of Commerce.
NIST/SEMATECH. 2013. 1.3.5.10. Levene test for equality of variances. E-handbook of statistical methods. Washington, DC: US Dept. of Commerce.
Ono, T. 1988. Toyota production system: Beyond large-scale production. New York: Productivity Press.
Orcesi, A. D., and D. M. Frangopol. 2011. “Use of lifetime functions in the optimization of nondestructive inspection strategies for bridges.” J. Struct. Eng. 137 (4): 531–539. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000304.
Parr, M. J., R. J. Connor, and M. Bowman. 2010. “Proposed method for determining the interval for hands-on inspection of steel bridges with fracture critical members.” J. Bridge Eng. 15 (4): 352–363. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000057.
Phares, B. M., G. A. Washer, D. D. Rolander, B. A. Graybeal, and M. Moore. 2004. “Routine highway bridge inspection condition documentation accuracy and reliability.” J. Bridge Eng. 9 (4): 403–413. https://doi.org/10.1061/(ASCE)1084-0702(2004)9:4(403).
Piercy, N., and N. Rich. 2009. “Lean transformation in the pure service environment: The case of the call service centre.” Int. J. Oper. Prod. Manage. 29 (1): 54–76. https://doi.org/10.1108/01443570910925361.
Riveiro, B., D. V. Jauregui, P. Arias, J. Armesto, and R. Jiang. 2012. “An innovative method for remote measurement of minimum vertical underclearance in routine bridge inspection.” Autom. Constr. 25: 34–40. https://doi.org/10.1016/j.autcon.2012.04.008.
Ross, A., and V. L. Willson. 2017. “One-Way ANOVA.” In Basic and advanced statistical tests: Writing results sections and creating tables and figures, edited by A. Ross and V. L. Willson, 21–24. Rotterdam, Netherlands: Sense.
Scalë. 2018. “Kruskal–Wallis and homogeneity of variance.” Professional Statistician for Hire. Accessed November 11, 2020. http://www.scalelive.com/kruskal-wallis-and-homogeneity-of-variance.html.
Washer, G., R. Connor, M. Nasrollahi, and J. Provines. 2016. “New framework for risk-based inspection of highway bridges.” J. Bridge Eng. 21 (4): 04015077. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000818.
Womack, J. P., and D. T. Jones. 2005. “Lean consumption.” Harvard Bus. Rev. 83 (3): 58–68.
Womack, J. P., D. T. Jones, and D. Roos. 1990. Machine that changed the world. New York: Simon and Schuster.
Yen, C.-I., H.-K. Liao, J.-J. Chai, and N.-J. Yau. 2010. “A heuristic approach for optimizing bridge inspection route.” In Proc., 5th Int. IABMAS Conf., 688. Boca Raton, FL: CRC Press.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 26Issue 2February 2021

History

Received: Apr 22, 2020
Accepted: Aug 23, 2020
Published online: Dec 2, 2020
Published in print: Feb 1, 2021
Discussion open until: May 2, 2021

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Assistant Professor, Mechanical and Industrial Engineering Dept., Univ. of Minnesota Duluth, 1305 Ordean Court, Duluth, MN 55812 (corresponding author). ORCID: https://orcid.org/0000-0002-3568-2887. Email: [email protected]
Jennifer R. McConnell, A.M.ASCE [email protected]
Bentley Systems Early Career Professor, Dept. of Civil and Environmental Engineering, Univ. of Delaware, 358B DuPont Hall, Newark, DE 19716. Email: [email protected]
Emal Masoud [email protected]
M.S. Civil Engineering, Dept. of Civil and Environmental Engineering, Univ. of Delaware, 301 DuPont Hall, Newark, DE 19716. Email: [email protected]

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