Selection of Appropriate Maintenance Strategy for Medical Equipment

Author(s):  
Ahmed Z. Elseddawy ◽  
Ahmed H. Kandil
Author(s):  
M. Ilangkumaran ◽  
S. Kumanan

This paper focuses on the use of Fuzzy Analytic Hierarchy Process (FAHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) to select an optimum maintenance strategy for a textile industry. In the proposed methodology, first the weight of each criterion is calculated by using improved AHP with fuzzy set theory to overcome the problems of unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process and then the VIKOR method is applied to compensate the imprecise ranking of the AHP in the selection of maintenance strategy. The real case study is conducted for a textile industry to illustrate the utilization of the proposed model for the maintenance strategy selection problem. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to make sure that the result of the proposed model can be acceptable. A sensitivity analysis is also conducted to show the validity of the proposed model. The paper gives an insight into multi criteria decision-making (MCDM) techniques to select an optimum maintenance strategy for a process industry using a case study.


Author(s):  
Andrey M. Geregey ◽  
Inga S. Malakhova ◽  
Yurii B. Moiseev ◽  
Ivan V. Ivanov ◽  
Dmitrii V. Glukhov

Introduction. Topicality of the study is associated with necessity of physiologic, hygienic and ergonomic basis for methods evaluating tolerance of individual protective means.Objective is to study possible use of contemporary facilities and investigation methods for functional state of humans and their performance within physiologic, hygienic and ergonomic assessment of individual protective means.Methods. The authors used analytic methods and considered methodic issues connected with evaluation of human functional state and performance.Results. Findings are that present regulation basis evaluating influence of individual protective means on human functional state does not consider contemporary novelties in medical equipment, is outdated and requires improvement. The authors justified selection of methods that improve approaches to evaluation of individual protective means in simulated and real industrial conditions. Evidences are that medical and biologic evaluation of individual protective means should study functional state of locomotory system, cardio-respiratory and nervous systems. Ergospirometry is the most informative method to evaluate functional state of cardio-respiratory system, “movements capture” by inertial sensors is the most applicable method to evaluate influence of individual protective means on workers’ mobility, and stabilometry can add existing methods evaluating influence of individual protective means on locomotory and nervous systems.Conclusions. The studies performed can serve as a basis for improvement of prospective methods of physiologic, hygienic and ergonomic evaluation of individual protective means.


Author(s):  
Ashraf M. Abdelrahim ◽  
K.P. George

In the selection of an economical treatment for rehabilitation of a deteriorated pavement section, decision makers usually encounter various situations. Factors affecting selection of a flexible pavement maintenance strategy may include distress conditions, traffic volume, and road class, among others. Traditionally engineers make their selection on the basis of their experience and judgment and past maintenance data. Experts’ judgments are usually compromised in a group discussion to construct decision trees or decision matrices or even to develop knowledge-based expert systems. An artificial neural network is known to be an efficient technique for selection of an appropriate maintenance strategy. A genetic adaptive neural network training algorithm with a single hidden layer and sigmoid squashing function constitutes the network. The input vector represents the factors affecting maintenance strategy selection, and the output vector represents the appropriate maintenance strategy. A set of examples is derived from experts’ judgments with a total of 144 cases randomly divided into “in-sample” and “out-of-sample” data for training and testing purposes, respectively. The trained network successfully predicted 83 percent of the test cases. The remaining 17 percent of cases were one or two levels away from the expert judgments used in network testing. Neural networks provide an efficient and optimum solution for such complex problems with the added advantage of faster implementation and easier updating than with other traditional techniques.


2018 ◽  
Vol 121 ◽  
pp. 391-398
Author(s):  
Marcin Wawrzyński

The article presents modifications of the maintenance strategy using telematics tools to monitor vehicle operation. It was proposed, in descriptive and formal terms, profiling of the fleet enabling the selection of sets of objects with similar utility potential. It gives the opportunity to plan operation and organization of service inspections in accordance with the principle "not too early, not too late".


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