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Книги з теми "Design management staircase model"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 29 січня 2023

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1

Bennett, Bart. A Conceptual design for the model integration and management system. Santa Monica, CA: The Rand Corporation, 1989.

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2

Kleinjohann, Bernd, Lisa Kleinjohann, Ricardo J. Machado, Carlos E. Pereira, and P. S. Thiagarajan, eds. From Model-Driven Design to Resource Management for Distributed Embedded Systems. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-39362-9.

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3

Wyant, Marvin Abram. Design and implementation of a prototype graphical user interface for a model management system. Monterey, California: Naval Postgraduate School, 1988.

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4

Silverston, Len. The data model resource book. New York: John Wiley, 2001.

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5

Krishnan, Vish. A model-based approach for planning and developing a family of technology-based products. Cambridge, MA: Marketing Science Institute, 2000.

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6

Krishnan, Vish. A model-based approach for planning and developing a family of technology-based products. Cambridge, MA: Marketing Science Institute, 2000.

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7

Haury, Carson E. Design and development of a user interface for the Dynamica Model of Software Project Management. Monterey, California: Naval Postgraduate School, 1988.

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8

O'Dell, David D. The design and implementation of a visual user interface for a structured model management system. Monterey, California: Naval Postgraduate School, 1988.

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9

Data model patterns: Conventions of thought. New York: Dorset House Pub., 1996.

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10

Bear, Robert. Cost management system design: Developing a pilot model using an activity-oriented approach. London: CIMA, 1997.

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11

Russell, Jeffrey S. A model process for maintainability implementation. Austin, TX: [Construction Industry Institute, the University of Texas at Austin, 1999.

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12

Group model building: Facilitating team learning using system dynamics. Chichester: J. Wiley, 1996.

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13

Cammarata, Stephanie. An object-oriented data model for managing computer-aided design and computer-aided manufacturing data bases. Santa Monica, CA: Rand, 1986.

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14

Cammarata, Stephanie. An object-oriented data model for managing computer-aided design and computer-aided manufacturing data bases. Santa Monica, CA: Rand, 1986.

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15

Modelling coastal vulnerability: Design and evaluation of a vulnerability model for tropical storms and floods. Amsterdam: IOS Press, 2009.

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16

The Data Model Resource Book: Vol. 2: A Library of Universal Data Models by Industry Types. 2nd ed. Hoboken: Wiley [Imprint], 2001.

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17

John, Parodi, ed. Real-life MDA: Solving business problems with model driven architecture. Amsterdam: Elsevier/Morgan Kaufmann Publishers, 2007.

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18

Sarri, Elli. Environmental auditing and the labelling of products and packaging: A design management model for corporate decision makers. Leicester: De Montfort University, 1999.

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19

Tulenko, Edward. The design and development of a Gaming interface for the System Dynamics Model of Software Project Management. Monterey, Calif: Naval Postgraduate School, 1989.

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20

The data model resource book: A library of universal data models for all enterprises. New York: Wiley, 2001.

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21

Thangamani, I. Analytical model for power plant condenser for transients and off-normal operating conditions. Mumbai: Bhabha Atomic Research Centre, 2006.

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22

H, Inmon William, and Graziano Kent 1960-, eds. The data model resource book: A library of logical data models and data warehouse designs. New York: Wiley, 1997.

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23

Swindell, Daniel W. Design and development of a user interface and user manual for a System Dynamics Model of Software Management. Monterey, Calif: Naval Postgraduate School, 1989.

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24

Leidy, Frank H. Design and development of an expert system based quality assurance module for the Dynamo Model of software project management. Monterey, California: Naval Postgraduate School, 1989.

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25

Maze, T. H. Work zone simulation model: Companion report for traffic management strategies for merge areas in rural interstate work zones. Ames, Iowa: Center for Transportation Research and Education, Iowa State University, 1999.

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26

Duddy, Keith. Theory and Practice of Model Transformations: 6th International Conference, ICMT 2013, Budapest, Hungary, June 18-19, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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27

Bernd, Kleinjohann, ed. From model-driven design to resource management for distributed embedded systems: IFIP TC 10 Working Conference on Distributed and Parallel Embedded Systems (DIPES 2006), October 11-13, 2006, Braga, Portugal. New York: Springer, 2006.

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28

Khendek, Ferhat. SDL 2013: Model-Driven Dependability Engineering: 16th International SDL Forum, Montreal, Canada, June 26-28, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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29

Vittorio, Cortellessa, Pierantonio Alfonso, and SpringerLink (Online service), eds. Formal Methods for Model-Driven Engineering: 12th International School on Formal Methods for the Design of Computer, Communication, and Software Systems, SFM 2012, Bertinoro, Italy, June 18-23, 2012. Advanced Lectures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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30

Kovalenko, Vladimir. Design of information systems. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/987869.

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Анотація:

The tutorial discusses the design features of information systems (is) involved in the implementation of CALS technologies: MRP/MRPII/ERP systems, e-Commerce systems (B2B), supply chain management (SCM), customer relationship management (CRM), and decision support systems (OLAP). The issues of choosing the design technology, software tools for project development, building functional and information models in the environment of Business Studio, MS Visio, Elma, AllFusion Modeling Suite and Oracle Designer 10g, as well as the development of technical and operational documentation are highlighted. The characteristics of CASE technologies and their implementation in the Oracle Designer 10g environment are considered. A comparative analysis of the standards of the organization of the life cycle of creating and using IP, practical recommendations for the development of standard profiles, examples of the development of an IP project based on a cascading model of the life cycle, including using a process approach in the management and automation of processes. The models of the client — server architecture and the structure of cloud computing are considered. Modern approaches to the selection of ready-made is and their implementation in automated enterprises are studied in detail. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is intended for students (bachelors and specialists) and masters of higher educational institutions studying in the direction of "Applied Informatics". It is also recommended for teachers and specialists working in the field of information technology.

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31

Jürgen, Kazmeier, Breu Ruth, Atkinson Colin, and SpringerLink (Online service), eds. Model Driven Engineering Languages and Systems: 15th International Conference, MODELS 2012, Innsbruck, Austria, September 30–October 5, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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32

Durakova, Irina, Svetlana Pugach, Aleksandra Mitrofanova, Mariya Saakyan, Lusine Karapetyan, Valeriya Konovalova, Svetlana Sotnikova, et al. HR Management in Russia: the Policy of diversity and inclusiveness. Book 10. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1876366.

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Анотація:

The monograph contains the results of research concerning, firstly, the specifics of the formation of the strategy and policy of personnel diversity, the specifics of youth as an object of diversified personnel management; issues of discrimination of employees in the workplace. Secondly, the promotion of scientific thought in the development of a productive model of hybrid employment, solving the problems of motivational HR diversity of public civil servants; determining the prospects for a rational balance of freedom and security in the modern world; presenting a new paradigm for combining work and private life through the combination of professional and parental work. Thirdly, new interdisciplinary approaches to the knowledge of the professional success of older workers, including in inclusive employment conditions. Fourth, solving the problems of diversity of personnel from the standpoint of interdisciplinary experience and applied aspects, including through organizational design, the formation of integrated reporting taking into account human capital, providing conditions for self-realization of the individual, the development of the employer's brand, the formation of a modern office space. For a wide range of readers interested in personnel management issues. It can be useful for students, postgraduates and teachers of economic universities.

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33

Office, General Accounting. Air pollution: Improved atmospheric model should help focus acid rain debate : report to the chairman, Subcommittee on Oversight and Investigations, Committee on Energy and Commerce, House of Representatives. Washington, D.C: GAO, 1989.

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34

Office, General Accounting. Air pollution: Reliability of EPA's mobile source emission model could be improved : report to the Chairman, Subcommittee on Oversight and Investigations, Committee on Energy and Commerce, House of Representatives. Washington, D.C: The Office, 1990.

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35

Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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Анотація:

The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.

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36

Bekbasarov, Isabay. Study of the process of driving piles and dies on models. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1074097.

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Анотація:

The monograph presents the results of experimental and theoretical studies conducted using models of driven piles and tape dies. The influence of the cross-section size, length, shape of the trunk and the lower end of the piles on their submergability, energy intensity of driving and load-bearing capacity was evaluated. The design and technological features of new types of piles are considered. A method for determining the load-bearing capacity of a pile model based on the results of dynamic tests has been developed. Similarity conditions and formulas are presented that provide modeling of the pile driving process in the laboratory. The influence of the shape of the tape dies on their submersibility, energy consumption of the driving and the bearing capacity of the foundations arranged in the vyshtampovannyh pits was evaluated. The method of determining the load-bearing capacity of a belt Foundation model based on the results of pit vyshtampovyvaniya is described. Recommendations on the choice of optimal parameters of piles and foundations, arranged in vystupovani pits. Recommended for researchers, specialists of design and construction organizations, doctoral students, postgraduates, undergraduates and students of construction and water management specialties.

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37

Varlamov, Oleg. 18 examples of mivar expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Анотація:

Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with "Big Knowledge". The reader, after studying this tutorial, you will be able to create mivar expert system with the help of CASMI Wi!Mi. Designed for students, bachelors, masters and postgraduate students studying artificial intelligence methods, as well as for users, experts and specialists, creating a system of information processing and management, mivar models, expert systems, automated control systems, systems of decision support and Recommender systems.

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38

Len'kov, Roman. Social forecasting and planning. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1058988.

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Анотація:

The tutorial describes the preconditions of sociopragmatics research in Russia on the background of evolutionary processes of social prognostics of the twentieth century. Considered the essential characteristics of social forecasting, its subject and range of issues. Based on analysis of classification schemes methods of scientific forecasting offers the author's approach to classification of methods of social forecasting. Special attention is paid to the description of the characteristics, the specific application and selection procedure of the ways of making social predictions. Theoretical and applied analysis of the foundations of social design, the direction of its implementation and research methods used for it. The conceptual basis of design in education on the example of the educational process in the University. Given the model structure, rationale and testing of design solutions. The third edition of the book is dedicated to the 100th anniversary of the State University of management. Meets the current requirements of the Federal state educational standard of higher education. For students of higher educational institutions, students of humanitarian directions and specialities.

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39

Wirtz, Bernd W. Business Model Management: Design - Process - Instruments. Springer International Publishing AG, 2021.

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40

Wirtz, Bernd W. Business Model Management: Design - Process - Instruments. Springer, 2020.

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41

Wirtz, Bernd W. Business Model Management: Design - Instrumente - Erfolgsfaktoren von Geschäftsmodellen. Springer Gabler, 2017.

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42

Business Model Management: Design - Instrumente - Erfolgsfaktoren Von Geschäftsmodellen. Springer Fachmedien Wiesbaden GmbH, 2020.

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43

Spencer, Barbara. Business Model Design and Learning: A Strategic Guide. Business Expert Press, 2013.

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44

Spencer, Barbara. Business Model Design and Learning: A Strategic Guide. Business Expert Press, 2013.

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45

Hughes, Amy L. A comparative study of GDSS use: Empirical evidence and model design. 1987.

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46

Yun, JinHyo Joseph. Business Model Design Compass: Open Innovation Funnel to Schumpeterian New Combination Business Model Developing Circle. Springer, 2018.

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47

Yun, JinHyo Joseph. Business Model Design Compass: Open Innovation Funnel to Schumpeterian New Combination Business Model Developing Circle. Springer, 2017.

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48

Kleinjohann, Bernd, P. S. Thiagarajan, Carlos Pereira, Ricardo J. Machado, and Lisa Kleinjohann. From Model-Driven Design to Resource Management for Distributed Embedded Systems. Springer, 2010.

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49

Grouls, R. J. E., H. M. J. Goldschmidt, and M. T. Cox. Reference Information Model for Clinical Laboratories: RILA As Laboratory Management Toolbox. IOS Press, Incorporated, 1998.

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50

Hay, David C. Data Model Patterns: Conventions of Thought. Dorset House Publishing Company, Incorporated, 1995.

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