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1 – 10 of over 271000Y. Villacampa, F. Verdú and A. Pérez
The purpose of this paper is to carry out a theoretical study of the stability of the mathematical models defined in a class of systems. Furthermore, it will be supposed that the…
Abstract
Purpose
The purpose of this paper is to carry out a theoretical study of the stability of the mathematical models defined in a class of systems. Furthermore, it will be supposed that the models have been obtained from experimental data and by means of the application of a methodology. The studies carried out in this paper are, on one hand, the theoretical framework for an analysis of the sensitivity and stability of a type of systems; on the other hand, they supplement the studies carried out by the authors, in which, using a computational program, the sensitivity of the mathematical models is analyzed with respect to a type of perturbation.
Design/methodology/approach
Initially, a class of systems is considered that are denominated quantifiable systems, in which model systems are defined that are determined by a set and a family of relationships. An initial study of the sensitivity of the mathematical models to perturbations in the experimental data lead to a concept of sensitive and stable models that forms the basis of the theory of stability developed in this paper. Furthermore, this permits a definition of the stability function for the set of the perturbations and, consequently, a determination of stable models according to the defined theoretical structure.
Findings
An analysis of the sensitivity and stability of mathematical models in quantifiable systems from a systems theory perspective will be fundamental for the determination of mathematical model stability in environmental systems.
Originality/value
The studies carried out in this paper supposes an advance in the study and modeling of a type of systems that the authors have denominated as quantifiable systems, applicable to the study of environmental systems and supplementing the numeric studies carried out by the authors.
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Y. Villacampa, P. Sastre‐Vázquez, F. García‐Alonso and J.A. Reyes
The purpose of this paper is to study a theory of systems and their models on the basis of studying the information channels between their elements, meaning that it is a…
Abstract
Purpose
The purpose of this paper is to study a theory of systems and their models on the basis of studying the information channels between their elements, meaning that it is a continuation of those studies already carried out on the theory of systems and their models applied to environmental systems.
Design/methodology/approach
The model information transmission system (MITS) can be defined as the theoretical structure that makes it possible to describe the way information is stored and transmitted in a modelling process, and which will be completed in future studies. The basis for a taxonomy of languages is also presented.
Findings
The theoretical structure described will lead to the study of a theory of information from the point of view of the analysis of text systems and models, but analysed within the theoretical structure presented, which includes the study of an information source and an information channel.
Originality/value
These theoretical findings will improve the information channels used up to now for the study and modelling of systems and which are largely described using several computer programmes, as the information generated and transmitted will be studied and analysed in different ways. In this way, the text models and families of text models generated can be analysed by studying and transforming models, particularly by focusing attention on everything inherent to the information contained in the same.
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Ling Xuqiang, Huang Xiaodong, Li Bohu and Chai Xudong
Complex system modeling requires not only understanding of modeling framework but also domain knowledge of the system. The purpose of this paper is to present an approach which…
Abstract
Purpose
Complex system modeling requires not only understanding of modeling framework but also domain knowledge of the system. The purpose of this paper is to present an approach which separates the domain knowledge from the modeling framework with different views.
Design/methodology/approach
By establishing the mechanism of association and fusion among the views, the description and characterization of system from different aspect and point of view can form a complete system model. Based on the approach, a modeling and simulation (M&S) platform named SimFaster is developed. Modeling environment and simulation engine are the most important parts of the platform. The modeling environment provides multi‐views and multi‐layers to help the developers to modeling the structure, layers, composition, behavior, and interactions of an application system. The simulation engine provides mechanism of integration and interaction for components and objects, and provides runtime support for the concepts and terms from modeling environment. The simulation engine organizes the objects in the memory of distributed system as reflective object database system, so it is repository centered architecturally.
Findings
Based on the approach of multi‐views modeling, the platform is a flexible framework and supports top‐down design, model reuse and interoperation, dynamic refinement of models, corporative design among different users in different stages, and the rebuilt of application rapidly.
Research limitations/implications
This paper deals with high‐level models of the complex systems.
Practical implications
This platform helps to design, modeling, and simulation complex system (especially for weapon combat system). It can participate into all the stages of the development of complex product/system, and can support the validation, refinement, optimization of models, and systems.
Originality/value
This paper presents a multi‐views modeling approach for the modeling of complex system.
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Irina A. Tarasova, Natalia A. Shchukina, Oksana A. Avdeyuk and Vera V. Nekrasova
The purpose of the chapter is to study possible approaches to determining the notion “business system” and to describe possible optimization models of decision-making in modern…
Abstract
Purpose
The purpose of the chapter is to study possible approaches to determining the notion “business system” and to describe possible optimization models of decision-making in modern business systems from the position of these approaches.
Methodology
The methodology of the research includes systemic analysis, discrete event approach in simulation modeling, modeling of complex hierarchical system on the basis of turning criteria into a generalized indicator with the help of functional Kolmogorov mean, and mathematical tools of the Theory of games.
Results
The authors study possible variants of modeling of business systems from the position of various approaches: commercial, practice-oriented, and organizational. Within the commercial approach to defining the notion “business system,” the discrete event approach to simulation modeling on the basis of Markov chains was compiled. A model of starting a certain new commodity in sales was compiled for determining the long-term strategy in the market. Within the practice-oriented approach, evaluation of effectiveness of personal as a component of business system is modeled. Within the organizational approach, two competing companies are modeled on the basis of the positional game.
Recommendations
Finding the optimization model of decision-making in modern business systems is impossible without of the system approach – that is, without considering possible definitions of the term “business system” and compiling the corresponding models. Only the systemic approach will allow for objective and comprehensive modeling of behavior of business systems. The offered methodologies will allow modeling evaluation of the current state of business system, changes of the system in dynamics, and its relations with other business systems.
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A model is a strategic aid which can be defined as an aspect system with a higher abstraction stratum whose purpose is to study another system. Many different types of models…
Abstract
A model is a strategic aid which can be defined as an aspect system with a higher abstraction stratum whose purpose is to study another system. Many different types of models exist. A classification is proposed that distinguishes between two different main dimensions: descriptive, explanatory and predictive; and qualitative and quantitative. General systems thinking enables an understanding of problems with inter‐relations between the many aspect systems, by developing a better understanding between the related disciplines. It also offers a method by which to tackle complex problems using a certain level of abstraction.
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The purpose of this study is to develop a meta-model for organisational change based on a literature review across organisational theories, specific theories about organisational…
Abstract
Purpose
The purpose of this study is to develop a meta-model for organisational change based on a literature review across organisational theories, specific theories about organisational change and systems theories related to theories of organisational change.
Design/methodology/approach
The research is based on an extensive literature review for the period 1972–2012 which covers organisational theories, systems theories relating to organisational change theories, and specific theories of organisational change. It used the Social Sciences Citation Index using as search items change, transformation, organization[al] model, theory, systems, and combinations of these terms. The research is based on an extensive literature review for the period 1972–2012 which covers organisational theories, systems theories relating to organisational change theories, and specific theories of organisational change. It used the Social Sciences Citation Index using as search items change, transformation, organization[al] model, theory, systems, and combinations of these terms.
Findings
The meta-model is constructed as a complex systems model including the four discourses and their process elements. As each discourse provides specific and different insights into how organisational change occurs, we can widen our field of view on change by switching between different discourses. This also allows a holistic rather than the reductionist methods of other approaches.
Practical implications
The meta-model makes it possible to look at organisational change from a variety of angles. Structural, cultural, behavioral and strategic change can be looked at from four different dimensions. It allows for insights from the different discourses to be drawn upon, as each of which have their merits but also their own limitations. By going beyond the normative discourse, it provides for a model of organisational change that better reflects the complexity of change in real life settings and captures the complexity of the research literature.
Originality/value
The paper seeks to demonstrate that a systems model of change is better able to capture the complex nature of change than are linear models. Synthesizing this literature has been undertaken previously but this has usually been done with linear models of change which have produced limited results.
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Martin Zwick and Michael S. Johnson
Reconstructability analysis (RA) is a method for detecting and analyzing the structure of multivariate categorical data. While Jones and his colleagues extended the original…
Abstract
Reconstructability analysis (RA) is a method for detecting and analyzing the structure of multivariate categorical data. While Jones and his colleagues extended the original variable‐based formulation of RA to encompass models defined in terms of system states, their focus was the analysis and approximation of real‐valued functions. In this paper, we separate two ideas that Jones had merged together: the “g to k” transformation and state‐based modeling. We relate the idea of state‐based modeling to established variable‐based RA concepts and methods, including structure lattices, search strategies, metrics of model quality, and the statistical evaluation of model fit for analyses based on sample data. We also discuss the interpretation of state‐based modeling results for both neutral and directed systems, and address the practical question of how state‐based approaches can be used in conjunction with established variable‐based methods.
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Clair Reynolds Kueny, Alex Price and Casey Canfield
Barriers to adequate healthcare in rural areas remain a grand challenge for local healthcare systems. In addition to patients' travel burdens, lack of health insurance, and lower…
Abstract
Barriers to adequate healthcare in rural areas remain a grand challenge for local healthcare systems. In addition to patients' travel burdens, lack of health insurance, and lower health literacy, rural healthcare systems also experience significant resource shortages, as well as issues with recruitment and retention of healthcare providers, particularly specialists. These factors combined result in complex change management-focused challenges for rural healthcare systems. Change management initiatives are often resource intensive, and in rural health organizations already strapped for resources, it may be particularly risky to embark on change initiatives. One way to address these change management concerns is by leveraging socio-technical simulation models to estimate techno-economic feasibility (e.g., is it technologically feasible, and is it economical?) as well as socio-utility feasibility (e.g., how will the changes be utilized?). We present a framework for how healthcare systems can integrate modeling and simulation techniques from systems engineering into a change management process. Modeling and simulation are particularly useful for investigating the amount of uncertainty about potential outcomes, guiding decision-making that considers different scenarios, and validating theories to determine if they accurately reflect real-life processes. The results of these simulations can be integrated into critical change management recommendations related to developing readiness for change and addressing resistance to change. As part of our integration, we present a case study showcasing how simulation modeling has been used to determine feasibility and potential resistance to change considerations for implementing a mobile radiation oncology unit. Recommendations and implications are discussed.
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