A multi-criteria decision model to determine inspection intervals of condition monitoring based on delay time analysis

Ferreira, Rodrigo José Pires; Almeida, Adiel Teixeira de; Cavalcante, Cristiano Alexandre Virgínio

doi:10.1016/j.ress.2008.10.001

Cited by 99 publications

(34 citation statements)

References 25 publications

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“…They developed a genetic algorithm for solving large-scale problems. In a different work, Ferreira, Almeida, and Cavalcante (2009) proposed an optimisation model in which decisions on determining inspection intervals for MI under the failure of equipment are made considering the decision-maker preferences in cost and downtime.…”

Section: Literature Reviewmentioning

confidence: 99%

Mathematical modelling of a robust inspection process plan: Taguchi and Monte Carlo methods

Mohammadi

Siadat

Dantan

et al. 2015

International Journal of Production Research

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This study develops a new optimisation framework for process inspection planning of a manufacturing system with multiple quality characteristics, in which the proposed framework is based on a mixed-integer mathematical programming (MILP) model. Due to the stochastic nature of production processes and since their production processes are sensitive to manufacturing variations; a proportion of products do not conform the design specifications. A common source of these variations is misadjustment of each operation that leads to a higher number of scraps. Therefore, uncertainty in misadjustment is taken into account in this study. A twofold decision is made on the subject that which quality characteristic needs what kind of inspection, and the time this inspection should be performed. To cope with the introduced uncertainty, two robust optimisation methods are developed based on Taguchi and Monte Carlo methods. Furthermore, a genetic algorithm is applied to the problem to obtain near-optimal solutions. To validate the proposed model and solution approach, several numerical experiments are done on a real industrial case. Finally, the conclusion is provided.

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Section: Literature Reviewmentioning

confidence: 99%

Mathematical modelling of a robust inspection process plan: Taguchi and Monte Carlo methods

Mohammadi

Siadat

Dantan

et al. 2015

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…Furthermore, MAUT has strong theoretical foundations based on the expected utility theory [27]. Last but not least, as indicated in [28], the use of MAUT provides the feasibility to consider the alternative on the continuous scale. The procedure of the use of it in our problem is discussed in detail as follows.…”

Section: Determination Of Optimal Version-update Timementioning

confidence: 99%

“…Interested readers can refer to [30] for more detailed theoretical discussions. However, from the real application's point of view, these assumptions are commonly accepted in practice [28,31].…”

Section: Maximization Of Multi-attribute Utility Functionmentioning

confidence: 99%

Reliability analysis and optimal version-updating for open source software

Xie

et al. 2011

Information and Software Technology

106

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“…For a decision maker, the ultimate goal in practical applications is often to find the best compromise solution from the Pareto set. It characterizes a multi-criteria decision making (MCDM) problem, which actually is commonly encountered in various real-life applications [26][27][28]. In this paper, we will combine the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with Grey relational analysis (GRA) to rank the priority of the Pareto solutions, thereby determining the best possible compromise from the multiple objectives.…”

Section: Introductionmentioning

confidence: 99%