scholarly journals Adapted managerial mathematical model to study the functions and interactions between enterprises in high-tech cluster

2017 ◽  
Author(s):  
Kiril P. Anguelov ◽  
Vesela G. Kaynakchieva
Keyword(s):  
Mathematical Model ◽  
High Tech

Modeling the performance of healthcare construction projects

2019 ◽  
Vol 26 (9) ◽  
pp. 2023-2039
Author(s):  
Karim A. Iskandar ◽  
Awad S. Hanna ◽  
Wafik Lotfallah
Keyword(s):  
Mathematical Model ◽  
Performance Metrics ◽  
Project Performance ◽  
The Body ◽  
Assessment Tools ◽  
Healthcare Sector ◽  
High Tech ◽  
Relative Importance ◽  
Content Type ◽  
Performance Metric

Purpose Healthcare-sector projects are some of the most complex in modern practice due to their reliance on high-tech components and the level of precision they must maintain. Existing literature in healthcare performance specifically is scarce, but there is a recent increasing trend in both healthcare construction and a corresponding trend in related literature. No previously existing study has derived weights (relative importance) of performance metric in an objective, data-based manner. The purpose of this paper is to present a newly developed mathematical model that derives these weights, free of subjectivity that is common in other literature. Design/methodology/approach This paper’s model considers 17 exceptional projects and 19 average projects, and reveals the weights (or relative importance) of ten performance metrics by comparing how projects relate to one another in terms of each metric individually. It solves an eigenvalue problem that maximizes the difference between average and exceptional project performances. Findings The most significant weight, i.e. the performance metric which has the greatest impact on healthcare project performance, was request for information per million dollars with a weight of 16.07 percent. Other highly weighted metrics included construction speed and schedule growth at 13.08 and 12.23 percent, respectively. Rework was the least significant metric at 3.61 percent, but not all metrics of quality had low ratings. Deficiency issues per million dollars was weighted at 11.61 percent, for example. All weights derived by the model in this paper were validated statistically to ensure their applicability as comparison and assessment tools. Originality/value There is no widely accepted measure of project performance specific to healthcare construction. This study’s contribution to the body of knowledge is its mathematical model which is a landmark effort to develop a single, objective, unified project performance index for healthcare construction. Furthermore, this unified score presents a user-friendly avenue for contractors to standardize their productivity tracking – a missing piece in the practices of many contractors.

scholarly journals DEVELOPMENT OF A MATHEMATICAL MODEL FOR THE RESEARCH OF THE DYNAMICS OF VIBRATION MILL WITH TWO DRIVES FOR BULK MATERIALS FINE GRINDING

2021 ◽  
pp. 89-99
Author(s):  
Volodymyr Topilnytskyy ◽  
Dariya Rebot
Keyword(s):  
Mathematical Model ◽  
Optimal Designs ◽  
High Tech ◽  
Bulk Materials ◽  
Fine Grinding ◽  
Different Types ◽  
Parameterized Model ◽  
The Mathematical Model ◽  
Universal Equipment ◽  
Vibration Mill

Reducing by grinding the size of various materials as raw materials for its further use is an urgent applied task. The requirements for the final product obtained by fine grinding are its homogeneity in shape and size of individual parts. It is necessary to reduce the time of the grinding operation, reduce energy consumption to obtain a unit of product of the required quality. One way to solve the problem is to use high-tech universal equipment, namely mills for fine grinding of materials. One way to solve the given problem is to use high-tech universal equipment, namely mills for fine grinding of materials. Their optimal design, construction, manufacture and operation are ensured by studying their dynamics at the stage of their development. In particular, such a study of the dynamics can be carried out on the basis of previously created mathematical models of these mills. The use of computer technology and appropriate mathematical CAD systems will speed up and optimize the process of studying the dynamics of the corresponding mill of fine grinding of materials. The purpose of the research is to build a mathematical nonlinear parameterized model of vibrating mill with two drives for bulk materials fine grinding for further study on its basis the dynamics of the mill with the development of optimal designs for mills with similar structure and the principle of operation and selection of optimal modes of operation. The mathematical model is presented as a system of expressions describing the of the mill points motion, which will include in the form of symbolic symbols all its parameters (kinematic, geometric, dynamic, force). This model is constructed using the Lagrange equation of the second kind and asymptotic methods of nonlinear mechanics. The mathematical model for studying of the dynamics of vibration mill with two drives for bulk materials fine grinding is nonlinear and universal. The non linearity of the model makes it possible to adequately determine of the above parameters influence on the amplitude of oscillations of the mill working chamber as the main factor in the intensity in the technological process of the fine grinding bulk materials fine grinding. The possibility of a wide range of changes in the parameters of the mill in the obtained models makes it universal based on the possibility of application for the study of dynamic processes in vibrating mills of different types with two or one drive which are different by shape, size, location of the suspension and more. This model can also be used to develop optimal designs for vibrating mills for different industries, which will be used to grind different types of materials in different volumes and productivity.

Application of intelligent systems to optimize the production of science intensive products

2021 ◽  
Author(s):  
A.A. Chursin
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Life Cycle ◽  
Intelligent Control ◽  
Intelligent Systems ◽  
Intelligent System ◽  
High Tech ◽  
Intelligent Control System ◽  
Economic Decisions

The construction of an intelligent control system for the production of science intensive products is considered. An economic and mathematical model of the functioning of the system at all stages of the life cycle of science intensive products is proposed, the informational principle of making economic decisions under conditions of uncertainty is formulated. Keywords: science intensive products, high-tech production, intelligent system. [email protected]

scholarly journals An Automated Smart EPQ-Based Inventory Model for Technology-Dependent Products under Stochastic Failure and Repair Rate

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 388 ◽  
Author(s):  
Iqra Asghar ◽  
Jong Soo Kim
Keyword(s):  
Mathematical Model ◽  
Production Rate ◽  
Production Efficiency ◽  
Manufacturing System ◽  
Manufacturing Technology ◽  
Repair Time ◽  
High Tech ◽  
Performance Quality ◽  
Maintenance Model ◽  
Variable Production

With the ever-growing technology development, high-tech products such as mobile phones, computers, electromagnetic devices and smart devices are facing high design and production modification requirements with relatively shorter life cycles. For instance, every forthcoming smart phone goes out of production in a shorter period after its launch, followed by its next generation. The design of high-tech products requires high investments in smart and automated manufacturing technology to ensure higher production efficiency. For high-tech products with short life spans, the manufacturing performance-quality variable is an important design parameter that affects system reliability, production efficiency and manufacturing costs. Major performance-quality factors of a manufacturing system which affect productivity and reliability of the manufacturing process are discussed in this research. The study investigates an integrated smart production maintenance model under stochastic manufacturing reliability for technology dependent demand and variable production rate. The smart unit production cost is a function of manufacturing reliability and controllable production rate, as a manufacturing system can be operated at different production rates within designed limits μ ϵ [ μ m i n , μ m a x ] . Manufacturing reliability is increased through investment in smart manufacturing technology and resources. The integrated smart production maintenance model is formulated under general failure and repair time distributions and the optimal production maintenance policy is investigated under specific failure and repair time distributions. A mathematical model is developed to optimize the manufacturing quality-performance parameter, variable production rate, per unit technology investment and production lot size. The total cost function is optimized through the Khun–Tucker method. The mathematical model is also validated with numerical analysis, comparative study, and sensitivity analysis for model key parameters.

Design of Piezoelectric Actuator Based on Adaptive Projectile

2012 ◽  
Vol 220-223 ◽  
pp. 964-967
Author(s):  
Jian Ping Yin ◽  
Hong Cheng Zhang
Keyword(s):  
Numerical Simulation ◽  
Mathematical Model ◽  
Piezoelectric Actuator ◽  
Mechanical Model ◽  
Piezoelectric Ceramic ◽  
Angular Displacement ◽  
Linear Displacement ◽  
High Tech ◽  
Static State ◽  
Negative Voltage

Adaptive projectile is intelligent ammunition that adopts optical, mechanical, electrical, material and other high-tech and takes simple guidance or adaptive way of trajectory. It can sensitively recognize the target and automatically attack the target. Aiming at the requirements of the adaptive projectile, a novel piezoelectric actuator is designed in this paper. Through certain technology, ceramic rod is made by piling up and sintering piezoelectric ceramic chip, and four ceramic rods are evenly fixed along the circumference on the backplane of the actuator, then the four ceramic rods are applied with different size, positive and negative voltage, the linear displacement is coupled by spherical linkage and angular displacement can be output at the predetermined position of the cross circumference. Based on the design, the mechanical model and piezoelectric heap coupling mathematical model of actuator are made. After calculating, piezoelectric ceramic heap of type PST150/14/120VS20 should be used. In theory, under the condition of static state and no-load, a maximum angular displacement output of 4.5 degrees can be achieved. After numerical simulation, when the head angle is 4.5 degrees, the range extending rate of the adaptive shell can reach 80%.

scholarly journals Economic and mathematical modeling as an effective tool of the analysis of economic processes in industry

2019 ◽  
Vol 12 (3) ◽  
pp. 316-322
Author(s):  
A. S. Kulyasova ◽  
A. R. Esina ◽  
V. D. Svirchevskiy
Keyword(s):  
Mathematical Model ◽  
Resource Allocation ◽  
Foreign Currency ◽  
High Tech ◽  
Calculation Error ◽  
Allocation Mechanism ◽  
Industrial Enterprises ◽  
Statistical Regularities ◽  
Cost Of Materials ◽  
The Cost

In conditions of market volatility, an important issue for industrial enterprises is the issue of creating an efficient resource allocation mechanism. The article gives an example about using of individually adapted economic and mathematical model for forecasting the cost of materials and purchased products, that takes into account both internal and external factors affecting the planning figures. In order to create an effective predictive model, an analysis was conducted of statistical data for the period from 2009 to 2016, data was represented by high-tech enterprises of the radioelectronic industry. As a result of analysis it was revealed the presence of statistical regularities in the nature of the distribution of the analyzed data.On the basis of the calculated distribution parameters, a prediction procedure was performed using the exponential smoothing method and the total projected cost of materials and purchased products was obtained. The use of elements of probability theory and mathematical statistics, as well as methods for forecasting time series as basic methods of the model allows to take into account probabilistic economic factors, such as, for example, a change in the exchange rate of a foreign currency, as well as the presence of defects in the production process. Application of a special mathematical apparatus provides an ability to create a flexible, individually-adapted forecasting model. As a result of application of the model intended for forecasting the cost of materials and purchased products at one of industry enterprises it was revealed that the developed model has lover calculation error than the method that is used at the enterprise at present. Thus economic and mathematical model allows increasing the efficiency of the enterprise’s planned system and ensuring a rational resource allocation by increasing the accuracy of the forecasting process.

scholarly journals Mathematical model for predicting the length of hospital stay after performing high-tech operations for arrhythmia correction

2014 ◽  
Vol 95 (1) ◽  
pp. 91-94
Author(s):  
L A Basova ◽  
O E Karyakina ◽  
L V Kochorova ◽  
N A Martynova ◽  
A G Kalinin
Keyword(s):  
Mathematical Model ◽  
Operative Treatment ◽  
Treatment Duration ◽  
Function Analysis ◽  
Pulmonary Veins ◽  
High Tech ◽  
Software Module ◽  
Data Set ◽  
Main Category ◽  
Automated Software

Aim. To create a mathematical model for predicting the length of post-operative treatment after performing high-tech surgeries for arrhythmia treatment. Methods. To predict the in-patient treatment duration after performing high-tech surgeries for arrhythmia treatment, the data set was checked for normality of sample variance distribution and for variability, discriminant function analysis, variability analysis, Kolmogorov-Smirnov test, crosstab Pearson’s chi-squared test were performed. Normally distributed quantitative parameters are presented as M±m (m - standard error). Cross-sectional prospective study including the data of 345 patients aged 20 to 88 years (males 42.0%, females 58.0%) who underwent high-tech surgeries for arrhythmia treatment, was performed for modeling. Results. It was found that the main category of patients who require surgery for cardiac arrhythmia treatment were women aged 61 to 75 years (mean 68±7 years). Pacemaker implantation was the most common surgery type (47.0%, 162 patients), followed by radiofrequency ablation (31.0%, 107 patients) and encircling pulmonary veins isolation (22.0%, 76 patients). It was also found that the presence of postoperative complications after implantation of the pacemaker directly influencing treatment duration, increasing it almost twice fold (to an average of 14.2±5.1 days compared to 7.4±1.2 days in patients without complications, p=0.02). Statistical analysis allowed to identify five levels characte­rizing the duration of in-patient post-operative management. An automated software module for risk assessment in patients admitted for high-tech surgeries for arrhythmia treatment was created basing on the results of the study. The precision of the model reached 87% (mean value 84.7%). Conclusion. An automated software module for predicting the length of in-patient post-operative treatment allows to stratify the risk of post-surgical complications for patients and shows the influence of those risks on the use of hospital beds, medical aid management and funding of high-tech surgeries by obligatory health insurance funds.

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