This paper reports on a collaborative venture between operational researchers and civil engineers over 3 years. The main objectives were to collect and publish data on the observed rates of deterioration of particular defect types in a large number of concrete bridges, and to develop predictive mathematical models that relate inspection frequency to maintenance costs. The motivation was in part associated with the prototype modelling paper for inspection practices of major concrete structures, Christer (1988). The paper reports on the analysis of data collected and the estimation of deterioration using the concept of delay time. The two phase delay time model is extended to an extra phase in order to model the process of cracking and spalling in concrete. Maximum likelihood techniques are used to estimate modelling parameters and an appropriate test of fit is carried out. Cost based models are then formulated to predict the cost effects of maintenance and inspection decision options. The cost model is applied first to an element, and then to an aggregate number of component types to produce a cost model for maintenance of a bridge or set of bridges.
"For some recent examples of extensive case studies one may look to, for example: Vanneste and Van Wassenhove (1995)--an integrated approach to modelling maintenance at a concrete products manufacturer , with particular application of age-based replacement ; Christer et al. (1995)--modelling inspection maintenance at a copper products manufacturer; Perakis and Inozu (1991)--replacement modelling of components in marine diesels under particular operating conditions; Monplaisir and Arumugadasan (1994)--Markov modelling of condition based maintenance for locomotive diesel engines; Gopalaswamy et al. (1993)--component replacement for a vehicle fleet using multiple criteria decision making; Kececioglu and Sun (1995)--opportunistic replacement for ballbearing systems; Chilcott and Christer (1991) --maintenance modelling of coal face machinery; Redmond et al. (1997)--modelling the degradation of concrete structures. Dekker (1996) provides a recent review of published case studies relating to mathematical modelling of maintenance (maintenance optimization models). "
[Show abstract][Hide abstract] ABSTRACT: This paper may be seen as an appeal to maintenance modellers to work with maintenance engineers and managers on real problems. Such collaboration is essential if maintenance modelling is to be accepted within the engineering community. It is also particularly important in the design and building of maintenance management information systems if such systems are to be used to manage and operate maintenance policy in the new millennium. In this context, developing areas of maintenance modelling are discussed, namely: inspection maintenance; condition based maintenance; maintenance for multi-component systems; and maintenance management information systems. Some new models relating to capital replacement are also considered. Thus, we are concerned with the mathematical modelling of maintenance rather than with management processes relating to maintenance. Discussion of maintenance management information systems is included because of their importance in providing data for mathematical modelling and in implementing model-based maintenance policy.
European Journal of Operational Research 06/1997; 99(3-99):493-506. DOI:10.1016/S0377-2217(96)00316-5 · 2.36 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: In this paper we discuss the state of the art in applications of maintenance optimisation models. After giving a short introduction to the area, we consider several ways in which models may be used to optimise maintenance, such as case studies, operational and strategic decision support systems, and give examples of each of them. Next we discuss several areas where the models have been applied successfully. These include civil structure and aeroplane maintenance. From a comparative point of view, we discuss future prospects.
[Show abstract][Hide abstract] ABSTRACT: Adequate and relevant objective data for modelling maintenance decision problems are often incomplete or not readily accessible. This is particularly true in developing countries. In this paper the experience gained between 199195 in conducting a maintenance study of an inter-city express bus fleet in a developing country is presented. The lack of available maintenance records and operating data rendered the study the most data-starved maintenance modelling exercise the authors have met before or since. The study required the use of subjective methods to both define the problem and to estimate parameters, and the application of recently developed concepts in maintenance modelling along with snapshot analysis and delay time modelling. This imposed a structured approach to problem recognition and problem solution. The study contributed both directly and indirectly to a change in work culture and to a reduction in bus breakdown rate. The company was re-visited 5 years later specifically to seek evidence of lasting impact. Some evidence existed and is reported in the paper.
Journal of the Operational Research Society 02/2001; 52(3):247-260. DOI:10.1057/palgrave.jors.2601107 · 0.95 Impact Factor
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