A widely-applicable structural maintenance decision-analytic modelling approach assisted by information value computation

2021 ◽  
Vol 237 ◽  
pp. 109596
Author(s):  
Guang Zou ◽  
Arturo González ◽  
Kian Banisoleiman
Author(s):  
Guang Zou ◽  
Kian Banisoleiman ◽  
Arturo González

A challenge in marine and offshore engineering is structural integrity management (SIM) of assets such as ships, offshore structures, mooring systems, etc. Due to harsh marine environments, fatigue cracking and corrosion present persistent threats to structural integrity. SIM for such assets is complicated because of a very large number of rewelded plates and joints, for which condition inspections and maintenance are difficult and expensive tasks. Marine SIM needs to take into account uncertainty in material properties, loading characteristics, fatigue models, detection capacities of inspection methods, etc. Optimising inspection and maintenance strategies under uncertainty is therefore vital for effective SIM and cost reductions. This paper proposes a value of information (VoI) computation and Bayesian decision optimisation (BDO) approach to optimal maintenance planning of typical fatigue-prone structural systems under uncertainty. It is shown that the approach can yield optimal maintenance strategies reliably in various maintenance decision making problems or contexts, which are characterized by different cost ratios. It is also shown that there are decision making contexts where inspection information doesn’t add value, and condition based maintenance (CBM) is not cost-effective. The CBM strategy is optimal only in the decision making contexts where VoI > 0. The proposed approach overcomes the limitation of CBM strategy and highlights the importance of VoI computation (to confirm VoI > 0) before adopting inspections and CBM.


2020 ◽  
Author(s):  
Vishal Deo ◽  
Gurprit Grover

AbstractEstimation of Quality Adjusted Life Years (QALYs) is pivotal towards cost-effectiveness analysis (CEA) of medical interventions. Most of the CEA studies employ multi-state decision analytic modelling approach, where fixed utility values are assigned to each disease state and total QALYs are calculated on the basis of total lengths of stay in each state.In this paper, we have formulated a new approach to CEA by defining utility as a function of a longitudinal covariate which is significantly associated with disease progression. Association parameter between the longitudinal covariate and survival times is estimated through joint modelling of the longitudinal linear mixed effects model and the Weibull accelerated failure time survival model. Metropolis-Hastings algorithm and Monte Carlo integration are used to predict expected survival times of each censored case using the joint model. Fitted longitudinal model is further used to project values of the longitudinal covariate at all time points for each patient. Utility values calculated using these projected covariate values are used to evaluate QALYs for each patient.Retrospective survival data of HIV/ AIDS patients undergoing treatment at the Antiretroviral Therapy centre of Ram Manohar Lohia hospital in New Delhi is used to demonstrate the implementation of the proposed methodology. A simulation exercise is also carried out to gauge the predictive capability of the joint model in projecting the values of the longitudinal covariate.The proposed dynamic approach to calculate QALY provides a promising alternative to the popular multi-state decision analytic modelling approach, especially when the standard utility values for different stages of the concerned disease are not available.


BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e050698
Author(s):  
Leonie Diedrich ◽  
Melanie Brinkmann ◽  
Maren Dreier ◽  
Wendelin Schramm ◽  
Christian Krauth

IntroductionIn Germany, statutory insured persons are entitled to a stool test (faecal immunochemical test (FIT)) or colonoscopy for colorectal cancer (CRC) screening, depending on age and sex, yet participation rates are rather low. Sigmoidoscopy is a currently not available screening measure that has a strong evidence base for incidence and mortality reduction. Due to its distinct characteristics, it might be preferred by some, who now reject colonoscopy. The objective of this study is to estimate the economic consequences of the additional offer of sigmoidoscopy for CRC screening in Germany compared with the present screening practice while considering the preferences of the general population.Methods and analysisA decision-analytic modelling approach will be developed that compares the present CRC screening programme in Germany (FIT, colonoscopy) with a programme extended by sigmoidoscopy from a societal perspective. A decision tree and Markov model will be combined to assess both short-term and long-term effects, such as CRC and adenoma detection rates, the number of CRC cases, CRC mortality as well as complications. The incremental cost per quality-adjusted life year gained for each alternative will be calculated. The model will incorporate the general population’s preferences based on a discrete choice experiment. Further, input parameters will be taken from the literature, the German cancer registry and health insurance claims data.Ethics and disseminationEthical approval for the study was obtained from the Ethics Committee of Hannover Medical School (ID: 8671_BO_K_2019). The findings of the study will be published in peer-reviewed journals and presented at national and/or international conferences.Trial registration numberDRKS00019010.


2004 ◽  
Author(s):  
Joan E. Ricart-Costa ◽  
Brian Subirana ◽  
Josep Valor-Sabatier

Author(s):  
V. V. Goncharova

The increasing interest towards abstracting as a type of analytical and synthetical information processing due to science globalization trend, is emphasized. The professionals who study this primary information compression are bibliographers, linguists, and information specialists. The author argues that modern professors and students all have to and must learn abstracting in accordance with the international standards for scientific, research, reference and instructional works.The author points to the diversity of the national lexicographical studies and, based on the abstracts index obtained as a result of her study, characterizes the current trends in abstracting linguistic dictionaries. The key user groups are defined. Publishers’ abstracts of dictionaries are discussed and represented. The example of dictionary Internet-based abstract analysis is given (50 items). Based on the abstracts texts, main negative factors to impact information value of this secondary information source are revealed, that is: lacking data essential for users, incomplete description of targeted readership, etc.The author introduces a model plan for digital guides of Russian lexicographical works and complements the plan with the systematic aspect analysis. She concludes that abstracting is an intellectually intensive process. It is underexplored as far as lexicographical works are concerned, and offers many possibilities for further studies.


2016 ◽  
Vol 547 ◽  
pp. 121-135 ◽  
Author(s):  
LC Kluger ◽  
MH Taylor ◽  
E Barriga Rivera ◽  
E Torres Silva ◽  
M Wolff

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