Results 251 to 260 of about 3,904,834 (301)
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Optimizing test to reduce maintenance
21st IEEE International Conference on Software Maintenance (ICSM'05), 2005A software package evolves in time through various maintenance release steps whose effectiveness depends mainly on the number of faults left in the modules. Software testing is one of the most demanding and crucial phases to discover and reduce faults. In real environment, time available to test a software release is a given finite quantity.
PIGHIN, Maurizio, MARZONA A.
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Optimal Maintenance Policy with Imperfect Preventive Maintenance
IEEE Transactions on Reliability, 1981This paper considers a maintenance policy with imperfect preventive maintenance (pm). After pm, the failure characteristic of the system is different (worse) from that of correctively maintained system (viz. after a failure). Optimal policy which minimizes the mean cost-rate is discussed.
Nguyen D.G., Murthy D.N.P.
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Expert judgment in maintenance optimization
IEEE Transactions on Reliability, 1992This paper proposes a comprehensive method for the use of expert opinion for obtaining lifetime distributions required for maintenance optimization. The method includes procedures for the elicitation of discretized lifetime distributions from several experts, the combination of the elicited expert opinion into a consensus distribution, and the updating
van Noortwijk, J.M. (author) +3 more
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Maintenance optimization models and criteria
International Journal of System Assurance Engineering and Management, 2010Due to widespread automation and the high capital tied up in production equipment, the importance of maintenance is ever increasing. This makes maintenance an investment opportunity to be optimized, not a cost to be minimized. Academics have recognized this and many maintenance optimization models have been published over the years.
Adriaan Van Horenbeek +2 more
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New stochastic models for preventive maintenance and maintenance optimization
European Journal of Operational Research, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hyunju Lee, Ji Hwan Cha
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Optimizing Routine Maintenance Team Routes
Proceedings of the 17th International Conference on Enterprise Information Systems, 2015Simulated annealing is a metaheuristic approach for the solution of optimization problems inspired to the controlled cooling of a material from a high temperature to a state in which internal defects of the crystals are minimized. In this paper, we apply a simulated annealing approach to the scheduling of geographically distributed routine maintenance ...
LONGO, FRANCESCO +3 more
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2010
This chapter is the “owner’s manual” part of this book. You might study the physics of dynamic equilibrium, but that does not teach you how to ride a bike. So after months or even years of study and planning, you might know plenty about EMRs, but until you are in the driver’s seat, you really will not know much about how to use them.
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This chapter is the “owner’s manual” part of this book. You might study the physics of dynamic equilibrium, but that does not teach you how to ride a bike. So after months or even years of study and planning, you might know plenty about EMRs, but until you are in the driver’s seat, you really will not know much about how to use them.
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Optimal Maintenance in Irrigation
Irrigation and Drainage Systems, 2003This article asks and addresses thequestion ``what is `optimal' maintenance inirrigation.'' It examines alternativedefinitions of irrigation maintenance andexplores pathways of system deteriorationunder alternative input levels. It thendefines maintenance as a service, where thefunctions of arranging, providing, payingfor, and using the service are ...
Mark Svendsen, Walter Huppert
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“Optimal” Policy in a Maintenance Cost Problem
Operations Research, 1967This paper is concerned with estimating the “optimal” policy when the (unknown) cost function C(x) is nonlinear with a single minimum, and can be approximated in the neighborhood of the minimum by a polynomial regression. The value x0, at which C(x) attains minimum, is approximated by ◯0 obtained from the regression function, and the expected value of
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Optimization of Maintenance Resources
Operations Research, 1965Dynamic; programming techniques appropriate to optimizing a maintenance function are evaluated to demonstrate the feasibility of applying them to large-scale systems involving many equipments. The objective is to determine the proper number, mix, and level of military and/or contractor maintenance personnel, and to apportion expenditures on other ...
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