A simulation model for improving the maintenance of high cost systems, with application to an offshore oil installation

We describe a Generalized Semi-Markov Model paired with Monte Carlo simulation that represents the evolution of the systems that constitute an offshore installation. We use the model to assess the performance of a maintenance plan in terms of a production penalty and unplanned shutdowns. In addition to estimating, comparing and improving maintenance plans, our approach enables the determination of the consequences of planning capital expenditures and installation modifications and the value of process improvements. Moreover, the entire framework is designed to be sufficiently flexible to accommodate various ‘what if’ scenarios in addition to other modifications. The simulation model was tested on data from an offshore oil installation, and was well received by the installation's operations personnel. Copyright © 2010 John Wiley & Sons, Ltd.

[1]  J. McCall.  Maintenance Policies for Stochastically Failing Equipment: A Survey , 1965 .

[2]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[3]  M.F. Kotb.  Maintenance scheduling of generating units in electric power system , 2008, 2008 12th International Middle-East Power System Conference.

[4]  Sofía Carlos,et al.  Simultaneous and multi-criteria optimization of TS requirements and maintenance at NPPs , 2002 .

[5]  P. Glynn.  A GSMP formalism for discrete event systems , 1989, Proc. IEEE.

[6]  Fred W. Glover,et al.  ' s personal copy Continuous Optimization Finding local optima of high-dimensional functions using direct search methods , 2008 .

[7]  Lisa M. Maillart,et al.  Optimal maintenance policies for serial, multi‐machine systems with non‐instantaneous repairs , 2006 .

[8]  Ana Sánchez,et al.  Addressing imperfect maintenance modelling uncertainty in unavailability and cost based optimization , 2009, Reliab. Eng. Syst. Saf..

[9]  Mahmut Parlar,et al.  A survey of maintenance models for multi-unit systems , 1991 .

[10]  Charles Audet,et al.  Nonsmooth optimization through Mesh Adaptive Direct Search and Variable Neighborhood Search , 2006, J. Glob. Optim..

[11]  Lie-Fern Hsu.  Optimal preventive maintenance policies in a serial production system , 1991 .

[12]  Gérard Cornuéjols,et al.  An algorithmic framework for convex mixed integer nonlinear programs , 2008, Discret. Optim..

[13]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[14]  Zeng Ming,et al.  Application of reliability-centered stochastic approach and FMECA to conditional maintenance of electric power plants in China , 2004, 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings.

[15]  Humberto Rocha,et al.  Incorporating minimum Frobenius norm models in direct search , 2010, Comput. Optim. Appl..

[16]  S. M. Shahidehpour,et al.  Integrated generation and transmission maintenance scheduling with network constraints , 1997 .