A nearly optimal inspection policy for productive equipment

Turco, Francesco; Parolini, P.

doi:10.1080/00207548408942470

Cited by 20 publications

(4 citation statements)

References 6 publications

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“…The basic economic choice is to decide between a continuous-inspection policy and a periodical-inspection policy and to analyse the advantages of both policies considering the main direct costs involved (Rosenblatt and Lee, 1986). Another study (Turco and Parolini, 1983) proposed a mathematical model of on-condition maintenance policy; the model determines a nearly optimal sequence of inspection times which can allow the lowest maintenance intervention and inspection cost per time unit.…”

Section: Empirical Study ± Maintenance Measurementsmentioning

confidence: 99%

Management of industrial maintenance – economic evaluation of maintenance policies

Löfsten

1999

International Journal of Operations &Amp; Production Management

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.Abstract One of the main problems, when choosing between preventive or corrective maintenance for the production and maintenance departments in the eight firms studied, is to attempt to establish the state of a particular production system or individual production line. In order to carry out a cost analysis it is imperative to be able to measure how preventive maintenance will both reduce the deterioration of the state of the object and improve the state of the object at the point in time that the maintenance is carried out. This can be explained by the fact that the departments lack methods for measuring and estimating the effects. The model presented in this paper determines whether to schedule preventive maintenance and the model trades off the capital costs of preventive maintenance and the sum of corrective maintenance and down-time costs based on the production line's state.

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Section: Empirical Study ± Maintenance Measurementsmentioning

confidence: 99%

Management of industrial maintenance – economic evaluation of maintenance policies

Löfsten

1999

International Journal of Operations &Amp; Production Management

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“…Due to the lack of failure history, it was difficult to determine both pdfs that are necessary to resolve this problem. Consequently, we used both pdfs of Turco and Parolini (1984). The costs considered by the maintenance staff are as follows:…”

Section: Numerical Example 51 Input Datamentioning

confidence: 99%

Development and optimisation of a maintenance policy under environmental constraints

Chouikhi

Dellagi

Rezg

2012

International Journal of Production Research

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Nowadays companies have to consider the impact of their production systems on the environment. This paper presents a condition-based maintenance policy for a production system under environmental constraints. The studied system is subject to random failures that can cause production losses and have a negative influence on the environment. Such failures cause the release of a refrigerant gas that induces a heavy penalty cost from a given threshold level. A mathematical model is developed in order to reduce environmental degradation where the average cycle cost per time unit is considered as the objective function. A numerical example and a sensitivity study are given to illustrate the proposed model.

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“…In order to overcome the major difficulty of dealing directly with multiple decision variables which are the inspection instants, (X 1 , X 2 , X 3 , …), we consider the same assumption made by Munford and Shahani (1972) and Turco and Parolini (1984) stating that the conditional probability that the deterioration threshold of component j is exceeded within the time interval (X i−1 , X i ) remains constant over time for each component. This conditional probability p j is given by the following expression:…”

Section: Jqme 212mentioning

confidence: 99%

A nearly optimal inspection policy for a two-component series system

Maaroufi

Chelbi

Rezg

et al. 2015

Journal of Quality in Maintenance Engineering

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Purpose – The purpose of this paper is to determine a nearly optimal inspection sequence for a series system consisting of two components subject to gradual deterioration and whose failures are not self-announcing and can be detected only through inspection. Design/methodology/approach – The problem is tackled in the context of condition-based maintenance (CBM) with a maintenance model in the class of the control-limit policies for which the maintenance decision is made following inspection by comparison of the deterioration level to critical thresholds. A mathematical model is developed to express the total expected cost per time unit as a function of the inspection instants. Findings – For any given series system composed of two components with known critical deterioration threshold levels, and for any given set of costs related to inspection, inactivity due to failure, and preventive and corrective replacements of each component, a nearly optimal inspection sequence of the system is derived such as the total expected cost is reduced. Research limitations/implications – Due to the complexity of the cost model with the inspection instants (×1, ×2, ×3, …) being the decision variables, it has not been possible to derive the optimal solution. A quasi-optimal sequence of inspection times is derived along with the corresponding total average cost per time unit. Practical implications – In many practical situations in which CBM is implemented, a tradeoff between inspection costs and inactivity and replacement costs has to be balanced when determining the intervals between successive inspections at which the degradation level of the components should be assessed and compared to predetermined critical threshold levels. Inspecting too often would increase inspection costs but in the same time it would also increase the probability to avoid a failure and end up with a preventive replacement, whereas not inspecting often enough would increase the probability to end up with a failure increasing replacement and inactivity costs. Originality/value – While the inspection problem has been largely treated for single component systems, inspection policies become much more complex when considering multi-component systems. A two-component series system is considered in this paper.

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A nearly optimal inspection policy for productive equipment

Cited by 20 publications

References 6 publications

Management of industrial maintenance – economic evaluation of maintenance policies

Management of industrial maintenance – economic evaluation of maintenance policies

Development and optimisation of a maintenance policy under environmental constraints

A nearly optimal inspection policy for a two-component series system

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