scholarly journals Fuzzy Evaluation of Pharmacokinetic Models

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Carlos Sepúlveda ◽  
Oscar Montiel ◽  
José M. Cornejo Bravo ◽  
Roberto Sepúlveda
Keyword(s):  
Human Error ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Population Pharmacokinetic ◽  
Fuzzy Evaluation ◽  
Mixed Effect ◽  
Population Pharmacokinetic Study ◽  
Nonlinear Mixed Effect Model ◽  
Poppk Model ◽  
Selection Of

Population pharmacokinetic (PopPK) models allow researchers to predict and analyze drug behavior in a population of individuals and to quantify the different sources of variability among these individuals. In the development of PopPK models, the most frequently used method is the nonlinear mixed effect model (NLME). However, once the PopPK model has been developed, it is necessary to determine if the selected model is the best one of the developed models during the population pharmacokinetic study, and this sometimes becomes a multiple criteria decision making (MCDM) problem, and frequently, researchers use statistical evaluation criteria to choose the final PopPK model. The used evaluation criteria mentioned above entail big problems since the selection of the best model becomes susceptible to the human error mainly by misinterpretation of the results. To solve the previous problems, we introduce the development of a software robot that can automate the task of selecting the best PopPK model considering the knowledge of human expertise. The software robot is a fuzzy expert system that provides a method to systematically perform evaluations on a set of candidate PopPK models of commonly used statistical criteria. The presented results strengthen our hypothesis that the software robot can be successfully used to evaluate PopPK models ensuring the selection of the best PopPK model.

Assessing Product Lifecycle Sustainability Using Uncertain Design Information at Conceptual Stage

2008 ◽  
Author(s):  
Q. Z. Yang ◽  
B. Song
Keyword(s):  
Conceptual Design ◽  
Product Information ◽  
Sustainability Assessment ◽  
Early Stage ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Design Decision ◽  
Fuzzy Evaluation ◽  
Product Lifecycle ◽  
Selection Of

This paper presents a hierarchical fuzzy evaluation approach to product lifecycle sustainability assessment at conceptual design stages. The purpose is to advocate the emerging use of lifecycle engineering methods in support of evaluation and selection of design alternatives for sustainable product development. A fuzzy evaluation model is developed with a hierarchical criteria structure to represent different sustainability considerations in the technical, economic and environmental dimensions. Using the imprecise and uncertain early-stage product information, each design option is assessed by the model with respect to the hierarchical evaluation criteria. Lifecycle engineering methods, such as lifecycle assessment and lifecycle costing analysis, are applied to the generation of the evaluation criteria. This would provide designers with a more complete lifecycle view about the product’s sustainability potentials to support decision-making in evaluation and selection of conceptual designs. The proposed approach has been implemented in a sustainable design decision-support software prototype. Illustrative examples are discussed in the paper to demonstrate the use of the approach and the prototype in conceptual design selection of a consumer product.

scholarly journals Third party logistics companies’ activities and selection methods

2016 ◽  
Author(s):  
Aleksandrs Kotlars ◽  
Valerijs Skribans
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Third Party ◽  
Strategic Decision ◽  
Selection Methods ◽  
Transportation Services ◽  
Operational Activities ◽  
Integration Levels ◽  
Selection Of

The purpose of a study is to compare and assess 3PL companies’ selection methods by researching evaluation criteria of 3PL companies and approaches of these criteria’s classification used by companies who outsource logistics and transportation services to third parties. Objective of a study is, foremost, to investigate 3PL companies’ selection methods proposed by leading specialists in field of logistics. Additionally, investigate operational activities, integration levels and core services provided by logistics companies in Europe with an emphasis on 3PL companies. The key finding of a study is that Multiple-criteria decision-making analyses are widely used in order to support strategic decision making in selection of 3PL companies.

Selecting Candidate Suppliers Using a Multiple Criteria Decision Making Model

2013 ◽  
Vol 694-697 ◽  
pp. 3472-3475 ◽  
Author(s):  
Amy H.I. Lee ◽  
He Yau Kang ◽  
Chun Yu Lin ◽  
Hsin Wei Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
High Tech ◽  
Supplier Integration ◽  
Network Process ◽  
Decision Making Model ◽  
Selection Of

High-tech firms are usually under a dynamically changing and fierce competitive environment these days. In order to survive in such an intensive competitive international market, a firm not only needs to manufacture outstanding products that meet the demands of its customers, it also needs to have a comprehensive supply chain management. To achieve the benefits of buyer-supplier integration, in terms of increased internal efficiency and profitability of the players in a supply chain, the identification of viable suppliers is a preliminary step that needs to be properly managed. Thus, to be cost competitive and to acquire decent profit in the market, the selection of the most appropriate suppliers is essential. In this paper, a supplier selection model is constructed by applying methodologies including decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to determine the interrelationship among the evaluation criteria and to select the most appropriate suppliers for cooperation.

scholarly journals Population Pharmacokinetics of Arbekacin, Vancomycin, and Panipenem in Neonates

2004 ◽  
Vol 48 (4) ◽  
pp. 1159-1167 ◽  
Author(s):  
Toshimi Kimura ◽  
Keisuke Sunakawa ◽  
Nobuo Matsuura ◽  
Hiroaki Kubo ◽  
Shigehiko Shimada ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Serum Creatinine Level ◽  
Glomerular Filtration ◽  
Creatinine Level ◽  
Population Pharmacokinetic ◽  
Mixed Effect Model ◽  
Mixed Effect ◽  
Nonlinear Mixed Effect Model ◽  
Nonlinear Mixed Effect ◽  
Effect Model

ABSTRACT Immature renal function in neonates requires antibiotic dosage adjustment. Population pharmacokinetic studies were performed to determine the optimal dosage regimens for three types of antibiotics: an aminoglycoside, arbekacin; a glycopeptide, vancomycin; and a carbapenem, panipenem. Eighty-three neonates received arbekacin (n = 41), vancomycin (n = 19), or panipenem (n = 23). The postconceptional ages (PCAs) were 24.1 to 48.4 weeks, and the body weights (BWs) ranged from 458 to 5,200 g. A one-compartment open model with first-order elimination was applied and evaluated with a nonlinear mixed-effect model for population pharmacokinetic analysis. In the fitting process, the fixed effects significantly related to clearance (CL) were PCA, postnatal age, gestational age, BW, and serum creatinine level; and the fixed effect significantly related to the volume of distribution (V) was BW. The final formulas for the population pharmacokinetic parameters are as follows: CLarbekacin = 0.0238 × BW/serum creatinine level for PCAs of <33 weeks and CLarbekacin = 0.0367 × BW/serum creatinine level for PCAs of ≥33 weeks, V arbekacin = 0.54 liters/kg, CLvancomycin = 0.0250 × BW/serum creatinine level for PCAs of <34 weeks and CLvancomycin = 0.0323 × BW/serum creatinine level for PCAs of ≥34 weeks, V vancomycin = 0.66 liters/kg, CLpanipenem = 0.0832 for PCAs of <33 weeks and CLpanipenem = 0.179 × BW for PCAs of ≥33 weeks, and V panipenem = 0.53 liters/kg. When the CL of each drug was evaluated by the nonlinear mixed-effect model, we found that the mean CL for subjects with PCAs of <33 to 34 weeks was significantly smaller than those with PCAs of ≥33 to 34 weeks, and CL showed an exponential increase with PCA. Many antibiotics are excreted by glomerular filtration, and maturation of glomerular filtration is the most important factor for estimation of antibiotic clearance. Clinicians should consider PCA, serum creatinine level, BW, and chemical features when determining the initial antibiotic dosing regimen for neonates.

scholarly journals Optimized Dosing Regimens of Meropenem in Septic Children Receiving Extracorporeal Life Support

2021 ◽  
Vol 12 ◽  
Author(s):  
Yixue Wang ◽  
Weiming Chen ◽  
Yidie Huang ◽  
Guangfei Wang ◽  
Zhiping Li ◽  
...  
Keyword(s):  
Creatinine Clearance ◽  
Life Support ◽  
Extracorporeal Life Support ◽  
Pediatric Intensive Care ◽  
Population Pharmacokinetic ◽  
Time Data ◽  
Mixed Effect ◽  
Nonlinear Mixed Effect Model ◽  
Nonlinear Mixed Effect ◽  
Dosing Regimens

Objectives: To develop a population pharmacokinetic model of meropenem in children with sepsis receiving extracorporeal life support (ECLS) and optimize the dosage regimen based on investigating the probability of target attainment (PTA).Methods: The children with sepsis were prospectively enrolled in a pediatric intensive care unit from January 2018 to December 2019. The concentration-time data were fitted using nonlinear mixed effect model approach by NONMEM program. The stochastic simulation considering various scenarios based on proposed population pharmacokinetics model were conducted, and the PTAs were calculated to optimize the dosage regimens.Results: A total of 25 children with sepsis were enrolled, of whom13 received ECMO, 9 received CRRT, and 4 received ECMO combined with CRRT. 12 children received a two-step 3-h infusion and 13 children received 1-h infusion. Bodyweight and creatinine clearance had significant impacts on the PK parameters. ECMO intervention was not related to the PK properties. If 100%T &gt; MIC was chosen as target, children receiving 40 mg/kg q8h over a 3 h-infusion only reached the PTA up to 77.4%. If bacteria with MIC 2 mg/L were to be treated with meropenem and the PTA target was 50%T &gt; MIC, a dose of 40 mg/kg q8h for 1 h infusion would be necessary.Conclusions: The PK properties of meropenem in septic children receiving extracorporeal life support were best described. We recommended the opitimized dosing regimens for septic children receiving ECLS depending on the PTA of PK target 50%T &gt; MIC and 100%T &gt; MIC, for children with sepsis during ECLS with different body weight, estimated creatinine clearance (eCRCL) and MIC of bacteria.

Selection of Passive Inflow Control Devices Based on Dynamic Weight Fuzzy Evaluation

2014 ◽  
Author(s):  
Quanshu Zeng ◽  
Zhiming Wang ◽  
Xiaoqiu Wang ◽  
Yiwei Li ◽  
Weilin Zou ◽  
...  
Keyword(s):  
Fuzzy Evaluation ◽  
Dynamic Weight ◽  
Control Devices ◽  
Selection Of

scholarly journals A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of System Selection for Surface Mining

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3066
Author(s):  
Michał Patyk ◽  
Przemysław Bodziony ◽  
Zbigniew Krysa
Keyword(s):  
Decision Making ◽  
Performance Assessment ◽  
Multiple Criteria Decision Making ◽  
Surface Mining ◽  
Open Pit ◽  
Mining Equipment ◽  
Surface Mines ◽  
Mining Conditions ◽  
And Performance ◽  
Selection Of

Selection and assessment of mining equipment used in open pit rock mines relies chiefly on estimates of overall exploitation cost. The rational arrangement of mining equipment and systems comprising loading machines, haul trucks and crushing plants should be preceded by a thorough analysis of technical and economic aspects, such as investment outlays and the costs of further exploitation, which largely determine the costs of mining operations and the deposit value. Additionally, the operational parameters of the mining equipment ought to be considered. In this study, a universal set of evaluation criteria has been developed, and an evaluation method has been applied for the selection of surface mining equipment and the processing system to be operated in specific mining conditions, defined by the user. The objective of this study is to develop and apply the new methodology of multi-criteria selection of open pit rock mining equipment based on multiple criteria decision-making (MCDM) procedures, to enable the optimization of loading, handling and crushing processes. The methodology, underpinned by the principles of MCDM, provides the dedicated ranking procedures, including the ELECTRE III. The applied methodology allows the alternative options (variants) to be ranked accordingly. Ultimately, a more universal methodology is developed, applicable in other surface mines where geological and mining conditions are similar. It may prove particularly useful in selection and performance assessment of mining equipment and process line configurations in mining of low-quality rock deposits. Therefore, we undertook to develop universal criteria and applications for the selection and performance assessment of process machines for surface mines, taking into account environmental aspects as well as deposit quality.

scholarly journals Multi-Criteria Analysis for the Selection of the Optimal Mining Design Solution—A Case Study on Quarry “Tambura”

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3200
Author(s):  
Branimir Farkaš ◽  
Ana Hrastov
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Open Pit ◽  
Design Solution ◽  
Mine Design ◽  
Promethee Ii ◽  
Mining Design ◽  
Quarry Mine ◽  
Selection Of

Mining design is usually evaluated with different multiple-criteria decision-making (MCDM) methods when it comes to large open pit or underground ore mines, but it is not used on quarry sites. Since Croatia is mostly mining stone, the implementation of such methods in decision making of the quarry mine design is imperative but left out. In this paper, the PROMETHEE II and AHP decision-making methods are implemented on the quarry site to find out the best final quarry design contour. By implementing the MCDM methods, the best quarry model was chosen based on 22 different criteria parameters out of three final quarry designs. The chosen model is not only financially sound but also has the least environmental impact.

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