Abstract
Every construction projects requires different kinds of equipment and machineries designed for executing their respective construction tasks. Achieving efficiency and productivity from those equipment and machineries is vital for gaining profit in construction. Equipment management is very crucial in making profit out of construction projects as it varies from 5 to 30% of total cost of the construction project. It is challenging to select the appropriate equipment from the various available options. Improper maintenance of equipment results breakdown or failure which ends up with huge loss of capital and also affects progress of the project. In this paper, a vivid discussion has been done about two key critical factors for managing equipment and machineries i.e. criteria for selection, maintenance to improve productivity in construction. In equipment management practice, these criteria have significance impact on optimum equipment utilization, downtime reduction and improving production at minimum cost.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
And HFC, Mccaffer R (1991) Management of construction equipment. Macmillan, London
Waris M, Liew MS, Khamidi MF, Idrus A (2014) Criteria for the selection of sustainable onsite construction equipment. Int J Sustain Built Environ 3:96–110
Prasannasangeetha A, Alan S (2015) Equipment management in construction sector. Int J Sci Eng Res 3(6)
Lynn M (1996) Buildings decline and fall. Management Today 28–32
Samee K, Pongpeng J (2015) Structural equation model for construction equipment management affecting project and corporate performance. KSCE J Civil Eng 1–15
Phogat VS, Singh AP (2013) Selection of equipment for construction of a hilly road using multi criteria approach. Soc Behav Sci 104:282–291
Manikandan M, Adhiyaman M, Pazhani KC (2018) A study and analysis of construction equipment management used in construction projects for improving productivity. Int Res J Eng Technol 5(3):1297–1303
Day DA, Benjamin NBH (1991) Construction equipment guide. John Willey & Son Inc., New York
Alkass S, Harris F (1988) Expert system for earthmoving equipment selection in road construction. J Construct Eng Manage ASCE. 114:426–440
Alkass S, El-Moslmani K, Alhussein M (2003) A computer model for selecting equipment for earthmoving operations using queuing theory. In: Annual conference of the international council for research and innovation in building and construction (Cib), Auckland, New Zealand, W78
Shapira A, Goldenberg M (2005) AHP-based equipment selection model for construction projects. J Constr Eng Manage 131(12):1263–1273
Alkass S, Aronian A, Moselhi O (1993) Computer-aided equipment selection for transportation and placing concrete. J Constr Eng Manage 119(3):445–465
Chan FTS, Ip RWL, Lau H (2001) Integration of expert system with analytic hierarchy process for the design of material handling equipment selection system. J Mater Process Technol 116(2–3):137–145
Burt C, Caccetta L, Hill S, Welgama P (2005) Models for mining equipment selection. In: Proceedings of the Modsim 2005 international congress on modelling and simulation, pp 1730–1736
Said H, Nicoletti T, Perez-Hernandez P (2014) Utilizing telematics data to support effective equipment fleet-management decisions: utilization rate and hazard functions. J Comput Civil Eng 04014122:1–11
Prasertrungruang T, Hadikusumo BHW (2009) Modeling the dynamics of heavy equipment management practices and downtime in large highway contractors. J Constr Eng Manage 135(10):939–947
Marinelli M, Lambropoulos S, Petroutsatou K (2014) Earthmoving trucks condition level prediction using neural networks. J Qual Maintenance Eng 20(2):182–192
Marinelli M, Lambropoulos S, Pantouvakis JP (2012) Investigation of earthmoving trucks deterioration using discriminant analysis. Int J Project Organization Manage 4(4):397–413
Mohideen A, Ramachandran M, Narasimmalu RR (2011) Construction plant breakdown criticality analysis—part 1: UAE perspective. Benchmarking: Int J 18(4):472–489
Yip H, Fan H, Chiang Y (2014) Predicting the maintenance cost of construction equipment: comparison between general regression neural network and box-Jenkins time series models. Autom Constr 38:30–38
Curcurù G, Galante G, Lombardo A (2010) A predictive maintenance policy with imperfect monitoring. Reliab Eng Syst Saf 95(9):989–997
Schexnayder PE, Hancher F (2009) The true cost of equipment failure, 3rd edn. Netta Hook, Germany
Blundo GH (1980) Comparison of methods for evaluating construction equipment acquisition. Master Thesis, Concordia University, Quebec, Canada
Chen EA, Okudan GE, Riley DR (2010) Sustainable performance criteria for construction method selection in concrete building. Autom Constr 19(2):235–244
Singh RK, Murty HR, Gupta SK, Dikshit AK (2007) Development of composite sustainability performance index for steel industry. Ecol Ind 7(3):565–588
Akadiri OP, Olomolaiye OP (2012) Development of sustainable assessment criteria for building materials selection. J Eng Constr Archit Manage 19(6):666–687
Shapira A, Goldenberg M (2007) Soft considerations in equipment selection for building construction projects. J Constr Eng Manage 133:749–760
Edwards DJ, Holt GD, Harris FC (1998) Maintenance management of heavy duty construction plant and equipment. Chandos Publishing, Current and future construction plant research, pp 121–124
Edwards DJ, Holt GD, Harris FC (1998) Predictive maintenance techniques and their relevance to construction plant. J Qual Maintenance Eng 4(1):25–37
Arditi D, Kale S, Tangkar M (1997) Innovation in construction equipment and its flow into the construction industry. J Constr Eng Manage 123(4):317–380
Elazouni AM, Basha IM (1996) Evaluating the performance of construction equipment operations in Egypt. J Constr Eng Manage 122(2):109–114
Edwards DJ, Holt GD, Harris FC (2000) A model for predicting plant maintenance costs. Constr Manage Econ 18:68–75
Pathmanathan V (1980) Construction equipment downtime costs. J Constr Div 106(4):604–607
Cooper KG (1994) The $2,000 hour: how managers influence project performance through the rework cycle. IEEE Eng Manage Rev 22(4):12–23
Roberts EB, Alfred P (1974) A simple model of R & D project dynamics. R & D Manage 5(1):1–15
Sözen Z, Giritli H (1987) Equipment policy as one of the factors affecting construction productivity: a comparative study. In: Lansley PR, Harlow PA (eds) Managing construction worldwide: productivity and human factors in construction, 5th international symposium. CIOB, CIB, London, pp 691–696
Vorster MC, De La Garza JM (1990) Consequential equipment costs associated with lack of availability and Dt. J Constr Eng Manage 116(4):656–669
Tsimberdonis AI, Murphee EL Jr (1994) Equipment management through operational failure costs. J Constr Eng Manage 120(4):522–535
Construction Industry Institute (CII) (1995) Quantitative effects of project change. Project Management Research Team, Publication, Austin, TX, pp 43–52
Eden C, Williams T, Howick S (2000) The role of feedback dynamics in disruption and delay on the nature of disruption and delay in major projects. J Oper Res Soc 51:291–300
Halligan DW, Demsetz LA, Brown JD, Pace CB (1994) Action-response model and loss of productivity in construction. J Constr Eng Manage 120(1):47–64
Horner RMW, Talhouni BT (1995) Effects of accelerated working, delays and disruption on labour productivity. The Chartered Institute of Building, Ascot
Schwartzkopf W (1995) Calculating lost labour productivity in construction claims. Wiley Law Publications, Wiley, New York, NY
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Sahu, D., Mohibullah (2022). Effective Criterion for Equipment Management in Construction Industry. In: Das, B.B., Gomez, C.P., Mohapatra, B.G. (eds) Recent Developments in Sustainable Infrastructure (ICRDSI-2020)—Structure and Construction Management. Lecture Notes in Civil Engineering, vol 221. Springer, Singapore. https://doi.org/10.1007/978-981-16-8433-3_17
Download citation
DOI: https://doi.org/10.1007/978-981-16-8433-3_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-8432-6
Online ISBN: 978-981-16-8433-3
eBook Packages: EngineeringEngineering (R0)