BRP building resource performance - development of an operational material flow management system for construction project development

Wessels, J.F.M.; Schoenmaker, R.; Bakker, J.; Schavemaker, J

doi:10.1201/b17618-232

Cited by 3 publications

(4 citation statements)

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“…The research reported in this paper continues with the work done previously (Wessels et al, 2014). The research entailed a form of action research where research was conducted simultaneously with practical actions of investigating and supporting current practices in a case related to SLA negotiations.…”

Section: Research Approachmentioning

confidence: 88%

“…Earlier work (Wessels et al, 2014) proved that it is possible to develop a clear, proven, consistent and simple indicator, that represents the long term effect of short term decisions. The application in the case study showed that it is possible to apply the indicators using current existing data and information systems, although several limitations and challenges were encountered.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

“…Previous work (Wessels, Schoenmaker, Van Meerveld, Bakker, & Schavemaker, 2014) was aimed at "developing a clear, proven, consistent and simple indicator, that represents the long term effect of short term decisions". Initial research showed that there was no such indicator currently available (Ligtvoet, Bhamidipati, Herder & Verlaan, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Use of a future maintenance demand indicator for network level asset management decision making

Hess¹

2016

Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure

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This paper discusses the development and first testing of a valid, reliable, functional and simple indicator, that represents the long term effect of short term decisions. Such an indicator can assist counteracting short term views in network level asset management decision making. Short-termism or myopia may occur in cases where service level agreements (SLA) are made upon for shorter time frames than the typical lifecycles of transport infrastructure. The developed indicator indicates the "discounted future maintenance demand" (DFMD) for a time period stretching beyond the initial agreement period (expressed in a monetary value). The main assumption here is that the effect of short term decisions are reflected in the future maintenance demand. The indicator was applied in a case using existing data and information sources. Use of the DFMD, together with other (related) indicators provides valuable insight in understanding long term effects of short term decisions.

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Section: Research Approachmentioning

confidence: 88%

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Use of a future maintenance demand indicator for network level asset management decision making

Hess¹

2016

Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure

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“…Many researchers deal with another PI called Life-Cycle Cost (LCC) (Chang and Shinozuka, 1996;Frangopol et al, 1997Frangopol et al, , 2001Kong and Frangopol, 2003;Soliman and Frangopol, 2014;Wessels et al, 2014;Biondini and Frangopol, 2016;Rossi et al, 2017), i.e., the sum of all the costs that an owner has to sustain during the entire service-life of a bridge structure. LCC seems to be a promising economic PI in bridge management practices, even if some cautions have to be used when actualizing future cash flows if the time horizon is too long.…”

Section: Economic Performance Indicatorsmentioning

confidence: 99%

State-Of-Research on Performance Indicators for Bridge Quality Control and Management

Zanini

Faleschini

Casas

2019

Front. Built Environ.

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The present study provides a review of the most diffused technical and non-technical performance indicators adopted worldwide by infrastructure owners. This work, developed within the European COST Action TU 1406-"Quality specifications for roadway bridges, standardization at a European level," aims to summarize the state-of-art maintenance scheduling practices adopted by bridge owners, mainly focusing on the identification and classification of the most diffused performance indicators (PIs). PIs are subdivided in technical and non-technical ones: for this latter subclass, PIs are classified in environmental, social and economic-targeted. The study aims to be a reference for researchers dealing with performance-based assessments and bridge maintenance and management practices.

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The Optimal Maintenance Strategy in BMS considering Probability of Measuring Error

Meerveld¹,

Schoenmaker²,

Wessels³

et al. 2016

Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure

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BRP building resource performance - development of an operational material flow management system for construction project development

Cited by 3 publications

References 0 publications

Use of a future maintenance demand indicator for network level asset management decision making

Use of a future maintenance demand indicator for network level asset management decision making

State-Of-Research on Performance Indicators for Bridge Quality Control and Management

The Optimal Maintenance Strategy in BMS considering Probability of Measuring Error

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