Abstracts – Browse Results
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Arias, S (2014) Engineer manual 385 effectiveness: A study of predictive analytics, Unpublished PhD Thesis, , Indiana State University.
Bradford, C W (2017) The impact of the systematic incorporation of tolerances on gypsum board installation, Unpublished PhD Thesis, , Indiana State University.
Bruce, R D (2008) A study of craft worker length of employment at select Missouri construction companies, Unpublished PhD Thesis, , Indiana State University.
Burns, T M (2007) The effect of selected request for information variables on steel fabrication outcomes, Unpublished PhD Thesis, , Indiana State University.
Chukwu, I (2018) Sustainability in the Nigerian construction industry: The feasibility of adopting green building rating system, Unpublished PhD Thesis, , Indiana State University.
Dorward, D R (2006) The effect of selected output modifications on facilitating the assessment of PDM schedules, Unpublished PhD Thesis, , Indiana State University.
Fee, S T (2005) Sustainable construction practices: Contractors' perceptions of awareness and participation, Unpublished PhD Thesis, , Indiana State University.
Graham, G (2016) Factors influencing and risk associated with the use of drones by specialty construction companies in the United States of America, Unpublished PhD Thesis, , Indiana State University.
Gravitt, D D (2004) The development and validation of a bar code based residential construction quality inspection procedure, Unpublished PhD Thesis, , Indiana State University.
Haddad, B (2007) Risk management in the contractual language in the construction industry: The effect of exculpatory clauses on contractor bid price, Unpublished PhD Thesis, , Indiana State University.
Kamm, J D (2017) A study of technological change in the construction industry through understanding the importance of innovation, risk and stakeholder alignment in construction lending, Unpublished PhD Thesis, , Indiana State University.
Mutai, A (2009) Factors influencing the use of building information modeling (BIM) within leading construction firms in the United States of America, Unpublished PhD Thesis, , Indiana State University.
Ohrn, G (2009) The influence of job-order-contracting as a construction project delivery method on owner satisfaction, Unpublished PhD Thesis, , Indiana State University.
Okere, G O (2012) An investigative study of contract administration practices of general contractors on federal and state DOT projects, Unpublished PhD Thesis, , Indiana State University.
Onsarigo, L M (2016) Cost comparison of horizontal auger boring and open-cut construction methods for culvert installations, Unpublished PhD Thesis, , Indiana State University.
Patton, J R (2013) Task diminishment: Construction value loss due to sub-optimal task execution, Unpublished PhD Thesis, , Indiana State University.
Rich, F A (2020) Managing the wear of heavy construction equipment steel track undercarriage by soil sand content, Unpublished PhD Thesis, , Indiana State University.
- Type: Thesis
- Keywords: population; construction equipment; equipment; investment; precipitation; owner; United States
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2409193513
- Abstract:
Heavy construction equipment owners and managers have few predictive tools that can estimate wear rate of undercarriage track propulsion systems working in various soil types and changing operational conditions. Managing the timely maintenance of these track systems is critical for they represent over half of the non-fuel operating cost of the equipment fleet. Understanding the major influencing factors that impact undercarriage system wear rate can help determine the most economical time to stop a machine for track maintenance thus positively impacting the equipment’s return on investment (ROI). This research analyzed the population of track type dozers in the eastern half of North Carolina, United States of America. This region has markedly different soil types, topography and precipitation amounts making this to be an excellent study canvas. Sand percentage in the soil where the machine is working is thought to be a primary factor influencing the wear rate. In addition, other factors like precipitation, temperature, machine model, machine weight, altitude above sea level, and work type code are also considered and analyzed to determine which of these factors have significance. A regression model is developed that can be used as a predictive model to help manage this high value maintenance wear item. This research is important because the results can assist machine owners in maximizing the life of the undercarriage system in eastern North Carolina and will result in better machine maintenance decisions. In addition, this research can be utilized to accurately bid construction jobs predicting machine operating expense for each specific job site soil makeup.
Sauer, A D (2013) Sustainable building codes: How the perceptions of building code officials influence their intent to adopt the international green construction code, Unpublished PhD Thesis, , Indiana State University.