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1

Kumar, Ajit. "Software Re-engineering Process Model." International Journal of Science and Research (IJSR) 10, no. 1 (January 27, 2021): 474–76. https://doi.org/10.21275/sr21101152601.

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2

Monday, Eze, and Okunbor Charles. "Analytical study of software development process model variants." Global Journal of Engineering and Technology Advances 8, no. 2 (August 30, 2021): 023–31. https://doi.org/10.5281/zenodo.5195424.

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Software Engineering is a branch of Computer Science that evolved as a result of urgent need to deal with decades of software crisis, characterized by low theoretical knowledge and practice of the construction of error-free and efficient software. The introduction of well-organized scientific, engineering and management strategies in the process of software development no doubt led to major breakthroughs, and solutions to software failures. One of the obvious game-changer in this regard is the evolution of Software Development Life Cycle, also known as Software Process Model for driving the different phases of software construction. A sound understanding of the process model is therefore inevitable, not just for software developers, but also to users and researchers. Such a theoretical cum practical understanding will enhance decisions on which process model is best for a particular job or perspective. This invariably, contributes immensely to the probability of success or failure of the project in question. Thus, the necessity for this research. This work presents an unambiguous expository of selected software development model variants. A total of four process model variants were studied, in a theoretical, visual and analytical manner. The variants were analyzed using strength versus weakness (SVW) tabular scenario. This work was concluded by presenting guides towards choice of these models. This research is expected to be a useful reference to software practitioners and researchers.
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Abd EL-hamid, Ahmed S., Ahmed E. hussian, and Aly M. Radwan. "Generic Model Control of Biomethanation Process." International Journal of Engineering Research 4, no. 6 (June 1, 2015): 282–85. http://dx.doi.org/10.17950/ijer/v4s6/602.

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4

Solanki, Dr Ashvinkumar H. "Portfolio Selection Process through Markowitz Model." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 356–58. http://dx.doi.org/10.15373/2249555x/august2014/90.

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5

Shalamanov, Velizar. "Process-oriented Model of Information Warfare." Information & Security: An International Journal 1, no. 2 (1998): 59–66. http://dx.doi.org/10.11610/isij.0116.

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Satti, Rabail Shafique, and Fakeeha Jafari. "Domain Specific Cyber Forensic Investigation Process Model." Journal of Advances in Computer Networks 3, no. 1 (2015): 75–81. http://dx.doi.org/10.7763/jacn.2015.v3.145.

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7

Martynyuk, Oleksandr. "Model of Process Synchronization in Through Analysis." Advances in Cyber-Physical Systems 6, no. 1 (January 23, 2021): 33–38. http://dx.doi.org/10.23939/acps2021.01.033.

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Synchronization of parallel processes of distributed information systems (DIS) has been largely determined by decisions taken at the stages of their design. Having already been in structural and functional models, when determining cause- and-effect relationships for events and actions in DIS components, it becomes necessary to coordinate them. In the proposed multilevel systemic, structural and functional synchronization model, a hierarchy of such causal relationships with interlevel mappings, inheritance and encapsulation of events and actions have been formed. The model has been also based on hierarchical extended Petri nets, which make it possible to represent various aspects of a special analysis of technical diagnostics, in particular, analysis of correctness, verification, testing, for the adopted display of the asynchronous-behavioral nature of the multilevel interaction of DIS processes. Features of the synchronization model include mapping operations for cross- level inheritance and encapsulations that synchronize events and actions, as well as end-to-end synchronized quasi-order relationships and compatibility for them. The synchronization model is also distinguished by the possibility of specializing its objects, operations and relations for the tasks of check and recognition of behavioral properties set for analysis and verification, basic in technical diagnostics, including in online and offline testing. The synchronization model has allowed one to determine the formal conditions for methods of end-to-end asynchronous coordination of events and actions of multi-level models, that represent design solutions for DIS, in particular, for technical diagnostics methods, and also to reduce the computational complexity of a special synchronization analysis due to an end-to-end decomposition approach. The dimension of the synchronization model has been estimated using the representation of Petri net graphs and special graphs of reachable states using list structures. The above estimates determine the limits of applicability of the formal synchronization model.
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Kottapalli, Pavani. "Virtuous Business Model & Knowledge Creation Process." International Journal of Science and Research (IJSR) 10, no. 10 (October 5, 2021): 1622–23. http://dx.doi.org/10.21275/sr24531192911.

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9

Mielcarek, Paweł. "Process maturity model of organization." Management Forum 5, no. 4 (2017): 8–12. http://dx.doi.org/10.15611/mf.2017.4.02.

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10

Woś-Szymanowska, Agnieszka. "Process Communication Model – an effective tool supporting education." Edukacyjna Analiza Transakcyjna 7 (2018): 15–26. http://dx.doi.org/10.16926/eat.2018.07.01.

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11

Janković, Sandra. "INTRODUCTION MODEL OF COST PROCESS ACCOUNTING IN HOTEL INDUSTRY." Tourism and hospitality management 11, no. 1 (May 2005): 275–300. http://dx.doi.org/10.20867/thm.11.1.18.

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Uslužni sektor ubrzo nakon proizvođačkog bilježi implementaciju obračuna troškova procesa. To se posebno odnosi na zdravstvene, financijske, obrazovne, osiguravateljske institucije ali ne i na hotelska pouzeća. Uvođenjem obračuna troškova procesa hotelski menadžeri će znati koja im je usluga najprofitabilnija, koji su gosti najprofitabilniji te koje sve procese konzumiraju određene grupe gostiju. Fokusiranje na procese povećati će kvalitetu usluga i poboljšati profitabilnost tržišnih segmenata hotela. Klasifikacija procesa na one koji stvaraju i koji ne stvaraju vrijednost pridonijeti će da sc dugoročno smanje troškovi nekorisnih procesa, izluče procesi koji uzrokuju nepotrebne troškove, koji su neučinkoviti ili se mogu poboljšati.
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12

T., Yu Ksenofontova, Alexander Alexandrovich Voronov, Alexandrova N.A., Zharkova E.A., and Svetlana Viktorovna Semenova. "Transformation Education Process Model Development in the Organization." International Journal of Early Childhood Special Education 14, no. 1 (March 17, 2022): 260–67. http://dx.doi.org/10.9756/int-jecse/v14i1.221032.

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The education as a whole is an important human development aspect which is directed to the receipt of new knowledge, technics and skills. The transformation education as a rule is the object-oriented process but often difficult because in the education process of the group of people the same information can be accepted by each person differently. One of reasons is the experience difference. Each adult person has a personal life experience which firstly extends permanently and secondly influences on the making of different solutions in the whole life process of people as well as on the information perception during the education. Even people with the similar life experience perceive the information differently but most often the collected experience of people is different. This fact shall be taken into account by entities making the transformation training for the purpose of the effectiveness increase of this process most crucially. During the pass of development life cycle stages the entity analyzes its activity for the purpose of problem detection: after the detection of problems, development and realization of managerial solutions for their solving the whole entity activity model is changed in detail that leads to the complete change of the thinking form of all employees who shall carry out the corresponding training. The article describes approaches to the employee transformation training process model development of the entity: because of the high instability of the external environment the employee training process shall become regular; where the personnel knowledge is developed on the basis of the information studied earlier and professional competencies of employees of the level following to qualification characteristics with the certain periodicity are formed.
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B Ehimony, J. "Fitting an Arima Model to a Poisson Process." International Journal of Scientific Engineering and Research 3, no. 1 (January 27, 2015): 12–15. https://doi.org/10.70729/j2013425.

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14

Crane, Travis G., Jennifer P. Felder, Paul J. Thompson, Matthew G. Thompson, and Steve R. Sanders. "Partnering Process Model." Journal of Management in Engineering 13, no. 3 (May 1997): 57–63. http://dx.doi.org/10.1061/(asce)0742-597x(1997)13:3(57).

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15

Itoh, Yuki. "Recovery Process Model." Asia-Pacific Financial Markets 15, no. 3-4 (December 2008): 307–47. http://dx.doi.org/10.1007/s10690-009-9083-7.

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16

Linger, R. C. "Cleanroom process model." IEEE Software 11, no. 2 (March 1994): 50–58. http://dx.doi.org/10.1109/52.268956.

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17

Tavgin, V. L., and A. V. Stepanov. "Activation Process Model." physica status solidi (b) 161, no. 1 (September 1, 1990): 123–30. http://dx.doi.org/10.1002/pssb.2221610111.

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18

Orok, Ikemesit, Sunday Alabi, Minister Obonukut, and Iniobong Asuquo. "A Review of Kinetic Model Evaluation for Anaerobic Digestion Process." Scholarly Journal of Science and Technology Research and Development 3, no. 8 (August 31, 2024): 19–43. https://doi.org/10.5281/zenodo.13888563.

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<em>Variability of process conditions, diversity of bio-sourced feedstock as well as the slow and unstable nature of the process make anaerobic digestion (AD) technology, a subject of recent research despite several centuries of its practice. Model is one of the tools exploited not only to predict the system&rsquo;s performance but also for improved production. The search for appropriate models is currently a major priority for optimizing the process and the literature is flooded on this subject. This paper reviewed the prominent ones among them from mathematical, experimental and statistical background. It was found that despite the practicality of the exponential model when complemented by the Monod&rsquo;s model, in describing AD process, the mathematical models failed to describe cell behavior at stationary phase. Knowledge of cell behavior in this phase is significantly relevant especially when high retention times and &lsquo;digestate&rsquo; valorization are desired. Hence, the emergence of Gompertz (statistical) models which tends to describe cell growth rate during stationary phase. However, the complexity of the Gompertz models and the inadequacy of mathematical model beyond growth phase led to development of experimental models which do not focus on the growth rate but on the kinetics of substrate degradation or product formation. Specifically, first-order kinetic models, model based on transfer function, and cone model emanating from different types of substrates and combinations in co-digestion have been formulated. Evaluation of these models is critical and requires both the coefficient of determination of the fit (r<sup>2</sup>) and the root mean squares errors (RMSE). Based on gas potential generated, it is found that anaerobic digestion processes are more of waste management/treatment strategy than energy production irrespective of the substrate combo as energy generation is relatively less than that of the conventional energy. </em>
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Artem, Polyvyanyy, van der Aalst Wil, ter Hofstede Arthur, and Wynn Moe. "Impact-driven Process Model Repair." ACM Transactions on Software Engineering and Methodology 25, no. 4 (October 12, 2016): 1–60. https://doi.org/10.1145/2980764.

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The abundance of event data in today&rsquo;s information systems makes it possible to &ldquo;confront&rdquo; process models with the actual observed behavior. Process mining techniques use event logs to discover process models that describe the observed behavior, and to check conformance of process models by diagnosing deviations between models and reality. In many situations, it is desirable to mediate between a preexisting model and observed behavior. Hence, we would like to repair the model while improving the correspondence between model and log as much as possible. The approach presented in this article assigns predefined costs to repair actions (allowing inserting or skipping of activities). Given a maximum degree of change, we search for models that are optimal in terms of fitness&mdash;that is, the fraction of behavior in the log not possible according to the model is minimized. To compute fitness, we need to align the model and log, which can be time consuming. Hence, finding an optimal repair may be intractable. We propose different alternative approaches to speed up repair. The number of alignment computations can be reduced dramatically while still returning near-optimal repairs. The different approaches have been implemented using the process mining framework ProM and evaluated using real-life logs.
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20

Fahland, Dirk, and Wil M. P. van der Aalst. "Model repair — aligning process models to reality." Information Systems 47 (January 2015): 220–43. http://dx.doi.org/10.1016/j.is.2013.12.007.

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21

Wagner, Gerd. "Information and Process Modeling for Simulation – Part I: Objects and Events." Journal of Simulation Engineering 1 (June 28, 2018): 1:1–1:26. https://doi.org/10.5281/zenodo.11110129.

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In simulation engineering, a system model mainly consists of an <em>information model </em>describing a system's state structure and a&nbsp;<em>process model</em> describing its dynamics. In the fields of <em>Information Systems</em> and <em>Software Engineering</em>, there are widely used standards such as the&nbsp;<em>Class Diagrams</em> of the <em>Unified Modeling Language (UML)</em> for making information models, and&nbsp;the <em>Business Process Modeling Notation (BPMN)</em> for making process models. This tutorial presents a general <em>Object Event Modeling</em><em> (OEM)</em> approach for Discrete Event Simulation modeling using UML class diagrams and BPMN-based process diagrams at all three levels of&nbsp;<em>model-driven simulation engineering</em>: for making conceptual domain models, for making platform-independent simulation design models,&nbsp;and for making platform-specific, executable simulation models. In this approach, object and event types are modeled as special categories&nbsp;of UML classes, random variables are modeled as a special category of UML operations constrained to comply with a specific probability&nbsp;distribution, and queues are modeled as ordered association ends, while <em>event rules</em> are modeled both as BPMN-based process diagrams&nbsp;and pseudo-code. In Part II, we discuss the more advanced OEM concepts of&nbsp;<em>activities</em> and GPSS/SIMAN/Arena-style <em>Processing Networks</em>. Finally, in Part III, we further extend the OEM paradigm towards agent-based&nbsp;modeling and simulation by adding the concepts of <em>agents</em> with <em>perceptions</em>, <em>actions</em> and <em>beliefs</em>.
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Nasrallah, M. Deraz. "Sintering process and catalysis." International Journal of Nanomaterials, Nanotechnology and Nanomedicine 4, no. 1 (January 8, 2018): 001–3. https://doi.org/10.17352/2455-3492.000023.

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Sintering process has strong effect on the active surface area and catalytically active sites involved the catalyst. This process has two mechanisms depending on the thermal diffusion of the constituents of catalysts. These mechanisms are atomic migration model and crystallite migration model. Sintering is strongly temperature-dependent. However, there are different parameters affect in catalyst sintering such as time and type of atmosphere. Sintering process is the main factor in the catalyst deactivation. The deactivation of catalyst is the dramatic loss in the active surface area. Sintering process resulted in enhancement in the metal &ndash; support interaction yielding a side effect on the activity of catalyst. The scientists of catalysis have different works to reduce the negative effect of sintering process. These scientists showed various attempts to control in the dispersion and redispersion of active constituents of catalysts.
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Pušina, Amir. "Kreativnost kao proces: ''Pravac-A'' model." Obrazovanje odraslih/Adult Education, no. 2 2018 (2019): 15–30. http://dx.doi.org/10.53617/issn2744-2047.2018.18.2.15.

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In this paper we presented Robert Sternberg’s ”Straight-A” model of human creativity. It is constructed out of fve elements - overlapping phases – respectively most affecting variables in the creative process: (1) Activators-deactivators, (2) Abilities, (3) Amplifers-attenuators, (4) Appeal to audience and (5) Assessment by audience. The prerequisite of creativity is acting of individuals and their environment, during the all five above-mentioned phases, in the same / right (straight) direction. But, this is rarely the case, so the creative process does not complete itself often. For example, at phase one there are not only activators, at phase two the interaction and synergy of different intellectual abilities stay away etc. Psychologically, based on clear validity indicators, this model (for now) plays a theoretical role and has potential for heuristic generativity. It requires systematic empirical review, especially in the felds of internal and external construct validity.
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Nedić, Vladimir, Violeta Domanović, and Danijela Despotović. "The application of EFQM model of business excellence in the process of self-assessment of business processes: A case study." Economics of Sustainable Development 8, no. 2 (2024): 35–51. http://dx.doi.org/10.5937/esd2402035n.

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In contemporary business environment, business excellence is an inevitable condition for the long-term survival, growth and development of an enterprise. Business Excellence implies permanent improvement of all business processes and activities, which ultimately contributes to improvement of long-term and sustainable enterprise effectiveness and creation of value for all stakeholders. Hence, the paper discusses the concept of business excellence and possibilities of application of the model of business excellence in order to define metrics and self-assessment of business processes and activities. The enterprise inevitably implements innovations in business, but the question is whether the innovations are economically justified or not. The aim of the paper is to highlight the significance of self-assessment in the enterprise and the role of the EFQM business excellence model in the analysis of efficiency and effectiveness of the applied innovations. The research results prove that it is possible to apply the EFQM model in the process of self-assessment of business process performances before and after the application of innovations. Practical contribution of the research is reflected in the development and application of authorial database model and suggesting the solution for self-assessment based on EFQM 2013 methodology.
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Matviienko, Maryna. "THE PORT BUSINESS PROCESS ANALYSIS AS THE MANAGEMENT MODEL." Development of Management and Entrepreneurship Methods on Transport (ONMU) 79, no. 2 (2022): 18–26. http://dx.doi.org/10.31375/2226-1915-2022-2-18-26.

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Abstract.The research presented in this article is aimed at developing a methodology for decomposing business processes that take place in the port, into components and finding optimal approaches to their management within the port enterprises. The aims are to carry out a schematic grouping of operations and management decisions of port operators by management areas and to analyze the role of business processes in achieving enterprises commercial goals. Different approaches to structuring business processes are consi-dered, and the methodology used in this article, based on UML (Unified Modeling Language), is chosen, as it is a powerful analytical method for creating charts from different data and information sources. Based on the analysis of port operators of Ukrainian sea trade ports, a general profile of the port operator has been deve-loped, which reflects the evolution of business processes of maritime transport enterprises from one of the simplest forms to another, which is a typical modern transport enterprise.The article is devoted to the main trends in the work of Ukrainian seaports. The importance is emphasizedensuring the manageability of such a complex system as the maritime transport enterprise, and emphasizes the importance of identifying specific business processes specific to port enterprises, and highlighting the specifics of the analysis of general business processes. Based on the analysis of opportunities for growth of exports, imports and transit, it was determined that the greatest potential for further development of port operators is to expand the cargo base and attract transit cargo, so the emphasis is on building relevant business processes. The main reasons for restructuring or transformation of the business model of the enterprise are identified. The main sectors of restructuring of the port operator's business model have been identified.Keywords: port, port operator, business process, cargo turnover, transit.
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Grytsay, V. I. "A mathematical model of the metabolic process of atherosclerosis." Ukrainian Biochemical Journal 88, no. 4 (August 31, 2016): 75–84. http://dx.doi.org/10.15407/ubj88.04.075.

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Grozmani, Elena S., and Sergey V. Petrov. "Development of cyber-physical system security management process model." T-Comm 16, no. 1 (2022): 38–43. http://dx.doi.org/10.36724/2072-8735-2022-16-1-38-43.

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Cyber-physical systems (CPS) combine general-purpose information and telecommunication systems and industrial networks and devices (controllers), forming a heterogeneous hierarchical distributed information technology computing environment designed for control and monitoring of technological processes. FSCs are being actively implemented in the industrial, urban and household spheres, allowing for more efficient use of resources, as well as transferring management and feedback processes to a new level. CPS are formed as a result of the aggregation of several heterogeneous information and telecommunication systems, which makes them susceptible to the destructive factors of the digital environment – cyber attacks. The peculiarities of the construction and functioning of the CPS require a new approach to defining attack surfaces and modelling threats. This is due to the fact that the "traditional" goals of attackers - the availability, integrity and confidentiality of information processed in the system - are not the only ones. In addition, the value of the information itself can be extremely low. At the same time, control and feedback processes play a decisive role in a cyber-physical system. Their stability directly affects the ability of the FSC to perform target functions, as well as the physical safety of technological facilities, personnel and consumers. Depending on the degree of criticality of the technological processes of the real world, which are controlled by the cyber-physical system, the violation of these flows inside it can lead to serious consequences, such as large material damage or a threat to the life and health of people. The severity of the identified threats is confirmed by the constantly growing number of attacks on CPS and the consequences, including potential ones, to which these attacks lead. In addition, it should be noted that in the context of the rapid development and improvement of programmable control devices (Programmable Logic Controller (PLC)), making them more accessible in the mass market segment, as well as the proliferation of high-speed wireless data transmission networks, the concept of a smart home is gaining wider application. This approach implies the integration of PLCs that interact with each other and the control centre via multi-service broadband wireless networks into the domestic environment. Thus, the concept of a smart home is based on the implementation of FSCs in places of permanent residence of people with the transfer of automatic control functions of climatic equipment, lighting, household appliances, physical elements of protection against intrusions to them. At the same time, it is extremely important to ensure the information security of the CFS. To ensure the required level of their security, it is necessary to effectively solve the problems of managing the process of ensuring their information security. The article proposes an approach to the development of a model for the information security management process of a CFS operating in a smart home.
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Alsheref, Fahad Kamal. "Route Recommendation Model Via An Analytic Hierarchy Process (AHP)." Journal of Advanced Research in Dynamical and Control Systems 11, no. 9 (September 30, 2019): 17–24. http://dx.doi.org/10.5373/jardcs/v11i9/20192768.

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Marečková, Jana, Soňa Bocková, Petra Stefanová, Lenka Mazalová, Radka Matějková, and Jana Zapletalová. "Model of clinical balance in nursing process (pre-research)." Kontakt 15, no. 4 (December 20, 2013): 396–405. http://dx.doi.org/10.32725/kont.2013.047.

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FUJITA, Kikuo, and Shin'ichi KIKUCHI. "Computational Models for Concurrent Design Process Support. 1st Report. Process Structure Model." Transactions of the Japan Society of Mechanical Engineers Series C 68, no. 666 (2002): 657–65. http://dx.doi.org/10.1299/kikaic.68.657.

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Kocijan, JuŜ, and Agathe Girard. "INCORPORATING LINEAR LOCAL MODELS IN GAUSSIAN PROCESS MODEL." IFAC Proceedings Volumes 38, no. 1 (2005): 47–52. http://dx.doi.org/10.3182/20050703-6-cz-1902.00008.

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Reijers, H. A., R. S. Mans, and R. A. van der Toorn. "Improved model management with aggregated business process models." Data & Knowledge Engineering 68, no. 2 (February 2009): 221–43. http://dx.doi.org/10.1016/j.datak.2008.09.004.

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Berdnikov, A., and E. Shakhova. "MODEL OF INDUSTRIAL PROCESS." Системи управління, навігації та зв’язку. Збірник наукових праць 3, no. 49 (July 3, 2018): 93–96. http://dx.doi.org/10.26906/sunz.2018.3.093.

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An analysis of the IT project management was carried out using the Microsoft Project software package. Acquaintance with the essence and tools of project management, which allows to make qualified decisions on coordination of people, equipment, materials, financial resources and schedules for the execution of a certain project at a given time, within the budget and to the customer's satisfaction, taking into account the specifics of the IT field. The optimization of the IT project implementation time by the critical path method is considered. As a result of the calculation, critical, non-critical project operations and reserves or time stocks for non-critical operations are determined. In addition, the method of optimization of the IT project by time and cost is considered. The cross-linking of network graphs and their further ordering by the zonal and matrix method was studied. Prepared recommendations for application of the developed model in the educational process.
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Nawaz, Zahid, Shabib Aftab, and Faiza Anwer. "Simplified FDD Process Model." International Journal of Modern Education and Computer Science 9, no. 9 (September 8, 2017): 53–59. http://dx.doi.org/10.5815/ijmecs.2017.09.06.

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Lee, Mi-Ah, and Eun-Young Rhee. "Fashion Adoption Process Model." Journal of the Korean Society of Clothing and Textiles 34, no. 10 (October 31, 2010): 1671–86. http://dx.doi.org/10.5850/jksct.2010.34.10.1671.

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Sistla, Sukanth. "Process Model Consistency Measurement." IOSR Journal of Computer Engineering 7, no. 6 (2012): 40–44. http://dx.doi.org/10.9790/0661-0764044.

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Peng, Hu, W. R. Tinga, U. Sundararaj, and R. L. Eadie. "Microwave Sintering Process Model." Journal of Microwave Power and Electromagnetic Energy 38, no. 4 (January 2003): 243–58. http://dx.doi.org/10.1080/08327823.2003.11688503.

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Raudeliūnienė, Jurgita, Vida Davidavičienė, and Artūras Jakubavičius. "Knowledge management process model." Entrepreneurship and Sustainability Issues 5, no. 3 (March 31, 2018): 542–54. http://dx.doi.org/10.9770/jesi.2018.5.3(10).

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Lange, Martin, Etienne Lozes, and Manuel Vargas Guzmán. "Model-Checking Process Equivalences." Electronic Proceedings in Theoretical Computer Science 96 (October 7, 2012): 43–56. http://dx.doi.org/10.4204/eptcs.96.4.

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Jang, Sung-Bong. "Collaborative Documentation Process Model." International Journal of Software Engineering and Its Applications 9, no. 5 (May 31, 2015): 219–32. http://dx.doi.org/10.14257/ijseia.2015.9.5.21.

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Sanvido, Victor E., and Kevin J. Norton. "Integrated Design‐Process Model." Journal of Management in Engineering 10, no. 5 (September 1994): 55–62. http://dx.doi.org/10.1061/(asce)9742-597x(1994)10:5(55).

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42

Ganger, Gregory R., and Yale N. Patt. "The process-flow model." ACM SIGMETRICS Performance Evaluation Review 21, no. 1 (June 1993): 86–97. http://dx.doi.org/10.1145/166962.166989.

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43

La Rosa, Marcello, Marlon Dumas, Reina Uba, and Remco Dijkman. "Business Process Model Merging." ACM Transactions on Software Engineering and Methodology 22, no. 2 (March 2013): 1–42. http://dx.doi.org/10.1145/2430545.2430547.

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44

Sorensen, Barbara, Azad M. Madni, and Carla C. Madni. "DECISION SUPERIORITY PROCESS MODEL." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 12, no. 4 (January 2008): 39–48. http://dx.doi.org/10.3233/jid-2008-12404.

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Abstract:
Decision superiority is achieved not just by acquiring and assessing the right information, but by translating it into actionable knowledge that can be exploited in the decision making process. Achieving decision superiority is necessary, because the decisions made by commanders and staff, ultimately, determine mission outcome. Although technology is integral to the process, it is limited by factors such as bandwidth optimization, system interoperability, and information flow optimization. However, most important to the Command and Control (C $^{2}$ ) decision makers today are the cognitive processes that enable commanders to determine when to employ C $^{2}$ information systems to support C $^{2}$ decisions and the methods of how to respond to cues provided by the systems. This paper describes a continuous decision making process model that is specifically suited to support C $^{2}$ decision superiority. Decision makers are continually inundated with data, albeit most data provides non actionable intelligence and unreliable information. Inadequate data is inadmissible, specifically from the perspective of a C $^{2}$ information systems design, where timely delivery of the right information to C $^{2}$ decision makers is essential, thus, context awareness is a key necessity. Context in C $^{2}$ operations is dynamic and includes factors such as mission, enemy, terrain (and weather), personnel, time available, and civil support. Understanding and keeping track of these variables is the cornerstone of future C $^{2}$ decision making, especially for network centric warfare operations. The DecisionEdge™ model is based on the "context-goal alternatives" construct, which recognizes as context changes, the goal might also change, thus, precipitating the need for generating a new set of alternatives. It should be noted that goals are not constant; therefore, they can change when a new mission directive is initiated.
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45

Hangos, K. M., and Zs Tuza. "Process model structure simplification." Computers & Chemical Engineering 23 (June 1999): S343—S346. http://dx.doi.org/10.1016/s0098-1354(99)80084-2.

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46

Pohlak, Meelis, Juri Majak, and Rein Kuttner. "ISF process model development." International Journal of Computational Materials Science and Surface Engineering 1, no. 5 (2007): 571. http://dx.doi.org/10.1504/ijcmsse.2007.017251.

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47

Aoyama, Mikio. "Agile software process model." Computer Standards & Interfaces 21, no. 2 (June 1999): 177. http://dx.doi.org/10.1016/s0920-5489(99)92220-1.

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48

Lange, Martin, Etienne Lozes, and Manuel Vargas Guzmán. "Model-checking process equivalences." Theoretical Computer Science 560 (December 2014): 326–47. http://dx.doi.org/10.1016/j.tcs.2014.08.020.

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49

Aoyama, M. "Concurrent-development process model." IEEE Software 10, no. 4 (July 1993): 46–55. http://dx.doi.org/10.1109/52.219635.

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50

Yan, Zhiqiang, Remco Dijkman, and Paul Grefen. "Generating process model collections." Software & Systems Modeling 16, no. 4 (October 13, 2015): 979–95. http://dx.doi.org/10.1007/s10270-015-0497-6.

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