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Journal articles on the topic 'Methodology of problem solving'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Annamalai, Nagappan, Shahrul Kamaruddin, Ishak Abdul Azid, and Ts Yeoh. "Problem Solving Methodology in Industry." Applied Mechanics and Materials 533 (February 2014): 510–15. http://dx.doi.org/10.4028/www.scientific.net/amm.533.510.

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This study presents the results of a literature review that was performed to identify and evaluate knowledge management such as problem solving (PS) methods are suitable for identification and analysis of risks on existing issues. The studied methods were compiled into 2 groups which is manufacturing, and research development. The key discussion would be where the PS tool is more relevant and how it help to solve the problem effectively. The aspects studied in the methods are presented together with a short description of its applications, area of the analysis and relevance to industry and education. Also some characteristics of the methods are given, as well as reference to previous key publications on the methods. The contribution of study is exploration on a new definition of PS methodology which is simplified and structured.

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2

Jones, Lyndon. "A methodology for problem solving." Education + Training 28, no. 1 (January 1986): 9–12. http://dx.doi.org/10.1108/eb017214.

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3

Kumar, Gaurav. "Six Sigma: A problem solving methodology." Bulletin of Pure & Applied Sciences- Mathematics and Statistics 36e, no. 2 (2017): 202. http://dx.doi.org/10.5958/2320-3226.2017.00022.4.

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4

Weiler, Kay, and Ann M. Rhodes. "Legal Methodology As Nursing Problem Solving." Image: the Journal of Nursing Scholarship 23, no. 4 (December 1991): 241–44. http://dx.doi.org/10.1111/j.1547-5069.1991.tb00679.x.

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5

Land, Lucy. "Problem solving using soft systems methodology." British Journal of Nursing 3, no. 2 (January 27, 1994): 79–83. http://dx.doi.org/10.12968/bjon.1994.3.2.79.

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6

BANICA, Cristina Florena, and Nadia BELU. "Application of 8d methodology - an effective problem solving tool in automotive industry." University of Pitesti. Scientific Bulletin - Automotive Series 29, no. 1 (November 1, 2019): 1–7. http://dx.doi.org/10.26825/bup.ar.2019.005.

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7

Irani, K. B., and S. I. Yoo. "A methodology for solving problems: problem modeling and heuristic generation." IEEE Transactions on Pattern Analysis and Machine Intelligence 10, no. 5 (September 1988): 676–86. http://dx.doi.org/10.1109/34.6776.

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8

Chapma, C. B., Dale F. Cooper, C. A. Debelius, and A. G. Pecora. "Problem-Solving Methodology Design on the Run." Journal of the Operational Research Society 36, no. 9 (September 1985): 769. http://dx.doi.org/10.2307/2582165.

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Chapman, C. B., Dale F. Cooper, C. A. Debelius, and A. G. Pecora. "Problem-Solving Methodology Design on the Run." Journal of the Operational Research Society 36, no. 9 (September 1985): 769–78. http://dx.doi.org/10.1057/jors.1985.142.

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Pereira, Leandro, Ricardo Santos, Mariana Sempiterno, Renato Lopes da Costa, Álvaro Dias, and Nélson António. "Pereira Problem Solving: Business Research Methodology to Explore Open Innovation." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1 (March 4, 2021): 84. http://dx.doi.org/10.3390/joitmc7010084.

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Problem solving skills are increasingly important to be able to tackle the complex problems encountered in the business world. Nowadays is increasingly important to achieve sustainable development, focusing not only on economic profit but also on creating social value. It is widely agreed that the principles of scientific management can lead to more effective solutions for complex problems. Problems have to be looked at objectively, with methodology and intellectual integrity and modesty. Several techniques have been developed to help analyze the causes of the problem or formulate solutions. Although these business research techniques are important tools, they are presented as isolated measures. Pereira Problem Solving methodology presented provides guide to address business and management problems. It is an integrative and easy-to-use instrument that helps organizations adopt scientific management practices and will enhance the efficiency of the solutions encountered.

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Lupuleac, Sergey, Margarita Petukhova, Yulia Shinder, and Bertrand Bretagnol. "Methodology for Solving Contact Problem during Riveting Process." SAE International Journal of Aerospace 4, no. 2 (October 18, 2011): 952–57. http://dx.doi.org/10.4271/2011-01-2582.

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Prasad, Rajendra, and Samiullah Samiullah. "New Methodology for Solving a Maximization Assignment Problem." Journal of Computer and Mathematical Sciences 10, no. 1 (January 15, 2019): 159–69. http://dx.doi.org/10.29055/jcms/988.

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13

Koval', V. N., A. V. Palagin, and Z. L. Rabinovich. "Issues of methodology and formalization of problem posing and problem solving." Cybernetics and Systems Analysis 31, no. 3 (May 1995): 428–33. http://dx.doi.org/10.1007/bf02366521.

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14

Meryansumayeka, Meryansumayeka, Zulkardi Zulkardi, Ratu Ilma Indra Putri, and Cecil Hiltrimartin. "Students’ Strategies in Solving PISA Mathematical Problems Reviewed from Problem-Solving Strategies." Jurnal Pendidikan Matematika 15, no. 1 (January 31, 2021): 37–48. http://dx.doi.org/10.22342/jpm.15.1.10405.37-48.

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This study purposes to describe the strategies used by students in solving PISA type problems seen from the strategy of problem solving according to Polya. The research methodology is qualitative type descriptive study. Research subjects were 6 high school students in Palembang who had different levels of mathematical ability. Data was gathered using observation, interviews, and student answer sheets on the type of PISA questions given. The results showed that the dominant strategy used by students in solving PISA type problems included making pictures when they solve problem related to geometry; looking for possible answers systematically when they try to solve problem within numeric; writing information stated and the question when the problem is in the form of storytelling; and using trial and error when the problem provide answer alternatives.

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15

Heywood-Everett, Gary. "Problem Solving as Home: School Strategy and Research Methodology." Educational Research and Evaluation 4, no. 1 (March 1998): 57–77. http://dx.doi.org/10.1076/edre.4.1.57.13010.

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16

Zhu, Zhiqiang, Sev Nagalingam, and Hung-Yao Hsu. "TOWARD A CREATIVE PROBLEM-SOLVING METHODOLOGY WITH KNOWLEDGE PROVISION." Applied Artificial Intelligence 25, no. 9 (October 2011): 836–81. http://dx.doi.org/10.1080/08839514.2011.613570.

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El-Zeiny, Rasha Mahmoud Ali. "Biomimicry as a Problem Solving Methodology in Interior Architecture." Procedia - Social and Behavioral Sciences 50 (2012): 502–12. http://dx.doi.org/10.1016/j.sbspro.2012.08.054.

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18

Keys, Paul. "System dynamics as a systems-based problem-solving methodology." Systems Practice 3, no. 5 (October 1990): 479–93. http://dx.doi.org/10.1007/bf01064156.

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19

Wang, Charles C. N., Phillip C. Y. Sheu, and Jeffrey J. P. Tsai. "Towards Semantic Biomedical Problem Solving." International Journal of Semantic Computing 09, no. 04 (December 2015): 415–31. http://dx.doi.org/10.1142/s1793351x15500075.

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Biological and medical intelligence (BMI) has been studied in solos, lacking a systematic methodology. In this paper, we describe how Semantic Computing can enhance biological and medical intelligence. Specifically, we show how Structured Natural Language (SNL) can express many problems in BMI with a finite number of sentence patterns, and show how biological tools, OLAP, data mining tools and statistical analysis tools may be linked to solve problems related to biomedical data.

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Katz-Buonincontro, Jen, and Joel M. Hektner. "Using experience sampling methodology to understand how educational leadership students solve problems on the fly." Journal of Educational Administration 52, no. 3 (April 29, 2014): 379–403. http://dx.doi.org/10.1108/jea-12-2012-0135.

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Purpose – The purpose of this paper is to report on a pilot study of the emotional states associated with educational leadership students’ attempts at problem solving “on the fly” in their schools and organizations. Design/methodology/approach – Experience sampling methodology (ESM) was used to study 375 “problem-perceiving moments” in leadership students using iPod touches, followed by individual cognitive interviews (CIs). Findings – Students reported higher levels of intrinsic motivation and cognitive engagement when solving new vs old problems. Students experienced both more positive and more negative emotions when attempting to problem solve than when reporting that they were not solving problems, yet lower levels of self-efficacy coupled with insufficient time to reflect on their leadership goals while at work. Consistent with previous research, students reported engaging in metacognitive and reflective activities more frequently while with supervisors and colleagues. In the CIs, students’ narrative descriptions generally supported the quantitative analysis. For example, students described “putting out fires,” and discussed multi-tasking as a deterrent to problem solving. They also talked about balancing the emotional “highs and lows” throughout their day as well as the role of social affirmation in the problem solving process. Research limitations/implications – While the limitations of this small pilot study include a small sample using self-report data, the implications for educational leadership faculty are to explicitly integrate psychological research into leadership courses to expand students’ knowledge of creative problem solving and focus on building their self-efficacy. Originality/value – Even though students might not perceive they are good at problem solving, faculty can help them learn how to regulate their emotions and create teamwork conditions for constructively vetting problems. In turn, this kind of instruction and research can enhance leadership students’ persistence as problem solvers, which may help prevent leadership burnout and turnover.

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PASICHNYK, A., V. PASICHNYK, and Y. KUSHCHENKO. "APPLICATION OF SYSTEM APPROACH IN METHODOLOGY OF SOLVING ENGINEERING PROBLEMS." Transport systems and transportation technologies, no. 21 (August 15, 2021): 23. http://dx.doi.org/10.15802/tstt2021/237635.

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The purpose of this article is to develop and improve systemic methods for constructing solutions to engineering problems. The article provides a methodological approach to solving complex engineering problems based on the application of the system analysis method. The need for a preliminary assessment of the completeness of the initial data for the construction of a mathematical model of the problem is shown. At the stage of the problem statement, the problem statement is concretized in order to establish the research goal. As a result of a systematic analysis of the functional characteristics of the object under study, the main parameters and their relationship are determined, and the values of these parameters characterizing the initial state of the object under study are established. It is necessary to clarify the essence of the problem and formulate it so that the solution found is effective and can be obtained using existing means and in real terms. Based on the data of the analysis, the goal of solving the engineering problem is determined and the corresponding formulation is formulated in the following form: initial data; parameters; quantities to be determined. The functional connections between the main parameters of the object and the factors acting on it are established, they are described by mathematical relations and equations included in the mathematical model, taking into account the determining influence of the parameters of the problem on the state of the object. Thus, we obtain a mathematical formulation of the problem, the construction of the solution of which allows us to establish the parametric dependence of the state of the object for various values of the parameters. The reliability of the results obtained and the suitability of the chosen method, the decision should be confirmed by their testing and careful analysis. On the basis of the formulated approach, assessments have been carried out and the corresponding technological operations have been proposed for solving the engineering problem of removing the tanker «Delfi» from the aground in the water area of the Odessa coast of the Black Sea. The expediency of further improvement of the technology of application of the proposed approach for design tasks and industrial development of software and hardware complexes has been determined.

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22

Simon, James, and Mishaela Houle. "Translating improvement methodology into healthcare culture." Business Process Management Journal 23, no. 4 (July 3, 2017): 769–78. http://dx.doi.org/10.1108/bpmj-02-2017-0040.

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Purpose The purpose of this paper is to discuss improvement of the business of health care delivery through the application of systematic problem solving. This was strengthened by recurrence prevention through standardization at every level transforming into culture. Design/methodology/approach The methodology utilized is set derived from the true fiber and fabric of Toyota, the Toyota Business Practice (TBP) or eight-step problem solving and its translation into health care thinking by aligning to the process of clinical diagnosis of patients. The methodology that gives energy and direction to TBP is Hoshin Kanri, a Japanese approach to strategic planning. When you combine focus and purpose through strategic direction alongside a culture of systematic problem solving you get results. Findings The application of the Toyota mindset resulted in a cultural shift which built on the strength of the current organizational culture. This approach had a broad impact on the program impacting leadership and management roles, improved employee engagement, complete visibility of organizational priorities, improved system performance, visibility and awareness of the vision and defined measures that drive the health care system. This has also resulted in cost diversions of approximately five million dollars CDN. Originality/value A grass roots application of real-time problem solving through strategic alignment.

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23

Mili, Khaled. "Solving the straddle carrier routing problem using Six Sigma methodology." International Journal of Process Management and Benchmarking 7, no. 3 (2017): 371. http://dx.doi.org/10.1504/ijpmb.2017.084909.

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Mili, Khaled. "Solving the straddle carrier routing problem using Six Sigma methodology." International Journal of Process Management and Benchmarking 7, no. 3 (2017): 371. http://dx.doi.org/10.1504/ijpmb.2017.10003353.

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25

Jani, Hajar Mat. "An Overview of TRIZ Problem-Solving Methodology and its Applications." IOSR Journal of Computer Engineering 13, no. 2 (2013): 83–92. http://dx.doi.org/10.9790/0661-1328392.

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26

�stermark, Ralf. "Solving a linear multiperiod portfolio problem by interior-point methodology." Computer Science in Economics and Management 5, no. 4 (November 1992): 283–302. http://dx.doi.org/10.1007/bf00436583.

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27

Tarantilis, C. D. "Solving the vehicle routing problem with adaptive memory programming methodology." Computers & Operations Research 32, no. 9 (September 2005): 2309–27. http://dx.doi.org/10.1016/j.cor.2004.03.005.

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28

Kuzmich, Natalie. "Research, Problem-solving and Music Education." British Journal of Music Education 4, no. 3 (November 1987): 211–22. http://dx.doi.org/10.1017/s0265051700006045.

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The article supports the following thesis: that creative problem-solving approaches to learning can be incorporated into any methodology; can, and perhaps, should become an essential component within a music programme because, creative problem-solving is a direct route to understanding fairly sophisticated musical manipulations or procedures; it involves students in decision-making activities and the responses are sources of feedback to student and teacher; it permits multiple results; hence, it reflects needs, interests, and abilities of students; it enhances learning and makes more relevant the things that have to be learned; it encourages direct contact with the expressive character of music.

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JÁVOR, ANDRÁS. "SIMULATION WITH EMBEDDED AI FOR TRANSDISCIPLINARY PROBLEM SOLVING." International Journal of Modeling, Simulation, and Scientific Computing 01, no. 01 (March 2010): 85–98. http://dx.doi.org/10.1142/s179396231000002x.

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In this article, a methodology and its application in various fields is dealt with. The theoretical research work has been undertaken at the McLeod Institute of Simulation Sciences Hungarian Center and its results have been implemented in the CASSANDRA (Cognizant Adaptive Simulation System for Applications in Numerous Different Relevant Areas) simulation system. The applications covered a wide range of areas where the tool system and the methodology have been applied with success. Most of these were in the framework of international projects of the European Union.

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30

Anderson, Devon E., and Bradley V. Watts. "Application of an Engineering Problem-Solving Methodology to Address Persistent Problems in Patient Safety." Journal of Patient Safety 9, no. 3 (September 2013): 134–39. http://dx.doi.org/10.1097/pts.0b013e3182831d9a.

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31

Omar, Mohd Faizal, Noorhadila Mohd Bakeri, Mohd Nasrun Mohd Nawi, Norfazlirda Hairani, and Khalizul Khalid. "Methodology for Modified Whale Optimization Algorithm for Solving Appliances Scheduling Problem." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 76, no. 2 (October 23, 2020): 132–43. http://dx.doi.org/10.37934/arfmts.76.2.132143.

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Whale Optimization Algorithm (WOA) is considered as one of the newest metaheuristic algorithms to be used for solving a type of NP-hard problems. WOA is known of having slow convergence and at the same time, the computation of the algorithm will also be increased exponentially with multiple objectives and huge request from n users. The current constraints surely limit for solving and optimizing the quality of Demand Side Management (DSM) case, such as the energy consumption of indoor comfort index parameters which consist of thermal comfort, air quality, humidity and vision comfort. To address these issues, this proposed work will firstly justify and validate the constraints related to the appliances scheduling problem, and later proposes a new model of the Cluster based Multi-Objective WOA with multiple restart strategy. In order to achieve the objectives, different initialization strategy and cluster-based approaches will be used for tuning the main parameter of WOA under different MapReduce application which helps to control exploration and exploitation, and the proposed model will be tested on a set of well-known test functions and finally, will be applied on a real case project i.e. appliances scheduling problem. It is anticipating that the approach can expedite the convergence of meta-heuristic technique with quality solution.

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32

Ince, Elif. "An Overview of Problem Solving Studies in Physics Education." Journal of Education and Learning 7, no. 4 (May 15, 2018): 191. http://dx.doi.org/10.5539/jel.v7n4p191.

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Education policies today aim to raise individuals with 21st Century skills considered as a universal necessity and problem-solving skill is the one of the skills that have emerged as a requirement of the 21st century. Teaching problem solving is one of the most important topics of physics education, it is also the field where students have the most problems. While trying to solve physics problems, students often express that they understand the questions, they know the laws of physics on which the problem is based they have solved many similar problems, but the new problem is different from the previous problems therefore they cannot solve the problem. The aim of this study is to present an overview problem solving studies in physics education according to student level, methodology, and development of the problem-solving strategies usage chronologicaly.

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33

Khamov, Gennady G., and Larisa N. Timofeeva. "ON THE TRAINING METHODOLOGY FOR COMPILING SOME TYPE OF ARITHMETIC PROBLEMS." Yaroslavl Pedagogical Bulletin 117, no. 6 (2020): 64–69. http://dx.doi.org/10.20323/1813-145x-2020-6-117-64-69.

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The article is devoted to a current topic related to the development of methods for composing problems in teaching students of pedagogical universities of mathematical faculties. This problem becomes especially important in the context of the need to involve students in independent creative activities to acquire and apply knowledge. The material is presented in relation to the section of the discipline «Algebra and number theory», dedicated to solving Diophantine equations, the main objectives of which are not only mastering the theory and algorithms for solving basic problems, but also obtaining the necessary knowledge and skills for further professional activity. Solving a problem, the student must not only solve it correctly and quickly enough, but also show the creative component of the activity, using it as much as possible for their mathematical development. In this regard, the process of composing problems by students is undoubtedly useful, which reflects the systematic application of the material and elements of mathematical actions based on the laws and methods of mathematics. In addition, the ability to compose problems will be required in future activities related to teaching mathematics. The processes of solving and composing tasks are interconnected and this allows you to increase the efficiency and effectiveness of composing and solving tasks. Therefore, the teacher can give a task to the student with the requirement to compose (fully or partially) and solve the problem. In this paper, examples of tasks for the compilation of indefinite equations solvable in integers are considered, for the solution of which the methods of number theory are used: the study of possible residuals from dividing an algebraic integer expression by a specific integer; finding integer solutions to a linear equation with two variables. The stages of composing Diophantine equations are described in detail, the ways of obtaining equations solvable on a given set of integers or natural numbers are analyzed, and the application of various theoretical propositions used for their solution is shown.

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Petkoff, B., H. Mannebach, S. Kirkby, and D. Kraus. "Reconstructing Medical Problem Solving Competence: MACCORD." Methods of Information in Medicine 32, no. 04 (1993): 326–38. http://dx.doi.org/10.1055/s-0038-1634941.

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AbstractThe building of medical knowledge-based systems involves the reconstruction of methodological principles and structures within the various subdomains of medicine. ACCORD is a general methodology of knowledge-based systems, and MACCORD its application to medicine. MACCORD represents the problem solving behavior of the medical expert in terms of various types of medical reasoning and at various levels of abstraction. With MACCORD the epistemic and cognitive processes in clinical medicine can be described in formal terminology, covering the entire diversity of medical reasoning. MACCORD is close enough to formalization to make a significant contribution to the fields of medical knowledge acquisition, medical didactics and the analysis and application of medical problem solving methods.

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SUBRAMANIAM, MURUGAN, and Muhammad Khair Noordin. "A Structured 8 Disciplines Methodology To Develop Problem Solving Skills Among Engineering Students During Internship :A Systematic Literature Review." Science Proceedings Series 1, no. 3 (May 18, 2019): 8–11. http://dx.doi.org/10.31580/sps.v1i3.863.

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Current survey shows there are 1 out of 5 graduates are unemployed (Site, 2018). Lack of non technical skills among graduates be one of the main reason for unemployment.Data shows Problem Solving Skills is the second most important non technical skill sought by employers (To et al., 2019); The studies show that the problems cannot be solved by using the same kind of thinking approach applied at the moment it was created. Therefore, a systematic analytical skill is required to handle the engineering related problems happening at manufacturing environment or engineering workplace. The purpose of this paper is to analyze the existing literature about Problem Solving skills for graduate engineers through a systematic literature review. This paper analyses literature through electronic databases mainly from Scopus and Web of Science. This paper summarizes types of problem solving skills applied in the engineering field as of now. Based on that, engineers can differentiate and understand the approach of the problem solving skills in the industrial environment to improve the failures and increase productivity.

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Deb, Kalyanmoy, and Ankur Sinha. "An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm." Evolutionary Computation 18, no. 3 (September 2010): 403–49. http://dx.doi.org/10.1162/evco_a_00015.

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Bilevel optimization problems involve two optimization tasks (upper and lower level), in which every feasible upper level solution must correspond to an optimal solution to a lower level optimization problem. These problems commonly appear in many practical problem solving tasks including optimal control, process optimization, game-playing strategy developments, transportation problems, and others. However, they are commonly converted into a single level optimization problem by using an approximate solution procedure to replace the lower level optimization task. Although there exist a number of theoretical, numerical, and evolutionary optimization studies involving single-objective bilevel programming problems, not many studies look at the context of multiple conflicting objectives in each level of a bilevel programming problem. In this paper, we address certain intricate issues related to solving multi-objective bilevel programming problems, present challenging test problems, and propose a viable and hybrid evolutionary-cum-local-search based algorithm as a solution methodology. The hybrid approach performs better than a number of existing methodologies and scales well up to 40-variable difficult test problems used in this study. The population sizing and termination criteria are made self-adaptive, so that no additional parameters need to be supplied by the user. The study indicates a clear niche of evolutionary algorithms in solving such difficult problems of practical importance compared to their usual solution by a computationally expensive nested procedure. The study opens up many issues related to multi-objective bilevel programming and hopefully this study will motivate EMO and other researchers to pay more attention to this important and difficult problem solving activity.

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Alghamdi, M. H., and A. A. Alshaery. "Mathematical Algorithm for Solving Two–Body Problem." Applied Mathematics and Nonlinear Sciences 5, no. 2 (October 28, 2020): 217–28. http://dx.doi.org/10.2478/amns.2020.2.00039.

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AbstractIn this paper, computational algorithm with the aid of Mathematica software is specifically designed for the gravitational two–body problem. Mathematical module is established to find the position and velocity vectors. Application of this module for different kind of orbits (elliptic, parabolic and hyperbolic) leads to accurate results, which proved module efficiency and to be skillful. The classical power series method is to be utilized as the methodology.

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38

Martins, Andréa Camila dos Santos, Antonio Roberto Balbo, Dylan Jones, Leonardo Nepomuceno, Edilaine Martins Soler, and Edméa Cássia Baptista. "A Hybrid Multi-Criteria Methodology for Solving the Sustainable Dispatch Problem." Sustainability 12, no. 17 (August 21, 2020): 6780. http://dx.doi.org/10.3390/su12176780.

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Wind energy is becoming an increasingly substantial component of many nations’ energy portfolios. The intermittent nature of wind energy is traded off in a multi-objective sense against its environmental benefits when compared to conventional thermal energy sources. This gives rise to the multi-criteria sustainable dispatch problem considered in this paper. A relevant multi-objective model is formulated considering both environmental and economic criteria as well as ensuring adequate production levels. The techniques of weighted goal programming (WGP) and the progressive bounded constraint method (PBC) are combined in a novel manner in order to overcome computational challenges associated with the sinusoidal nature of the model. This allows the generation of a representative set of Pareto efficient solutions. The proposed methodology is demonstrated on a test set of relevant examples, and conclusions are drawn from both methodological and application perspectives. The results provide a quantification of the economic and environmental benefits of added wind power to a solely thermal system. However, a trade-off between the levels of economic versus environmental benefits gained is also demonstrated.

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39

Mlinarić, Danijel, tunjo Perić, and Josip Matejaš. "Multi-objective programming methodology for solving economic diplomacy resource allocation problem." Croatian Operational Research Review 10, no. 1 (July 2019): 165–74. http://dx.doi.org/10.17535/crorr.2019.0015.

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40

Jaeger, L., S. Segonds, and C. Bes. "Methodology Based on Multiagent for Solving Multidisciplinary Optimization Problem Under Uncertainty." Journal of Aerospace Information Systems 12, no. 2 (February 2015): 290–98. http://dx.doi.org/10.2514/1.i010241.

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41

Fegade, M. R. "Solving Fuzzy Transportation Problem using Zero Suffix and Robust Ranking Methodology." IOSR Journal of Engineering 02, no. 07 (July 2012): 36–39. http://dx.doi.org/10.9790/3021-02723639.

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42

Savransky, Semyon D. "3 The Systematic Methodology of Inventive Problem Solving - TRIZ: A Review." INCOSE International Symposium 9, no. 1 (June 1999): 1072–79. http://dx.doi.org/10.1002/j.2334-5837.1999.tb00275.x.

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43

Sarin, Subhash C., Erdal Erel, and Ezey M. Dar-El. "A methodology for solving single-model, stochastic assembly line balancing problem." Omega 27, no. 5 (October 1999): 525–35. http://dx.doi.org/10.1016/s0305-0483(99)00016-x.

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44

NAKAGAWA, Toru. "3. Effective Use of TRIZ : A Methodology for Innovative Problem Solving." Proceedings of Design & Systems Conference 2006.16 (2006): 406–9. http://dx.doi.org/10.1299/jsmedsd.2006.16.406.

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Yehia, M., R. Ramadan, Z. El-Tawail, and K. Tarhini. "An integrated technico-economical methodology for solving reactive power compensation problem." IEEE Transactions on Power Systems 13, no. 1 (1998): 54–59. http://dx.doi.org/10.1109/59.651613.

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Titus, S. J., and W. S. Adams. "A Fifth Generation Approach to Problem-Solving in Forest Mensuration and Sampling." Forestry Chronicle 64, no. 3 (June 1, 1988): 186–89. http://dx.doi.org/10.5558/tfc64186-3.

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A new problem-solving methodology, based on fifth generation computer programming languages, is presented for use in forestry or other technically-oriented fields. It is based on the integration of exposition, data, and computer programs into a single document that is processed by the computer to produce a report. With this methodology the report, a text file, provides a central focus for the problem-solving process as it happens rather than being a reconstruction after the fact. The methodology exploits the capability of a fifth generation language, the Nested Interactive Array Language (Nial), to interpret programs and expressions written in a form close to natural language. Nial's powerful general-purpose analysis capabilities facilitate better understanding of the solution process rather than obscuring it, and the ease with which new operations can be defined in a problem-oriented context allows the casual programmer access to powerful tools for solving new problems.

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Svezhentseva, Olga, and Marina Umnova. "The methodology for choosing solutions by developing an optimal topology of power supply system." E3S Web of Conferences 289 (2021): 01018. http://dx.doi.org/10.1051/e3sconf/202128901018.

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The development of the optimal topology of power supply systems for various purposes is an intractable problem that cannot be formalized as a single task. This problem can be considered as a complex of tasks having a hierarchical structure – the hierarchy is present both at the functional and at the territorial levels. The main typical tasks arising in the process of developing of the optimal topology of the power supply system in a city microdistrict are highlighted, a formal statement of tasks is given, methods for their solution are proposed and demonstrated. Approaches to solving typical problems are built on the theory of combinatorial analysis, methods of heuristic modeling, genetic programming, methods for solving optimization problems on graphs.

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Kustitskaya, T. A., and R. V. Esin. "Design Methodology for Electronic Training Problems Aimed at Development of Mathematical Problems Solving Competence." Open Education 25, no. 4 (August 25, 2021): 23–38. http://dx.doi.org/10.21686/1818-4243-2021-4-23-38.

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The aim of the study. The fourth industrial revolution demands highly qualified personnel as important factor of economic growth, which imposes serious requirements on the formation of key and subject competencies among graduates of higher educational institutions. A particularly important role is assigned to the mathematical competence which is required to solve complex and science-intensive problems. Given the growing share of e-learning and distance learning at the university, it is necessary to intensively develop the methodology for mathematical competence formation in the electronic environment, and create effective teaching tools on its basis. The current level of digitalization of education already allows organizing independent work of students in the electronic environment at a sufficiently high level. In the literature we can find various methods and tools, aimed at the formation of the cognitive component of competencies. However, the issue of skills’ development in the electronic environment is still underrepresented. The purpose of this study is to develop a methodology for creating electronic training problems, which aims at forming a practical component of mathematical competence – the competency of solving mathematical problems.Materials and methods. In the study we performed a comparative analysis of scientific and methodological literature, regulatory and methodological documents, as well as professional and federal educational standards of higher education. The development of a model of electronic training problems was carried out using methods of structural modeling. The developed methodology was implemented in the educational process, and the confirmation of its effectiveness was obtained by statistical analysis of the results of the pedagogical experiment.Results. We proposed a methodology for electronic training problems development aimed at formation of mathematical problems solving competency. The methodology is based on existing approaches to problem solving formalization. In the presented structural model of an electronic training problem, the aspects of problem solving discovered earlier by other authors, are supplemented by the contextual aspect. This aspect is intended for linking the regarded problem with the material, studied at the moment and, if possible, with future professional activity of a student. The proposed methodology for organizing feedback in an electronic training problem contributes to the formation of metacognitive skills among students through the elements of tutoring.Conclusion. On the basis of the proposed methodology, 8 electronic training problems were developed for the course “Probability and Mathematical Statistics” and tested in the educational process of the Siberian Federal University. The effectiveness of the electronic training problems for the development of mathematical problems solving competency was assessed in the course of a pedagogical experiment. The purpose of the experiment was to study the impact of the electronic training problems in the competency formation for particular topics of the course. Using student’s test for independent samples and the Mann-Whitney test we confirmed that the designed electronic training problems positively affect the formation of mathematical problems solving competency. In the future, the proposed methodology can be included in the teaching toolkit for the formation of mathematical competence in an electronic environment.

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El Alem, W., A. El Hami, and Rachid Ellaia. "A New Methodology for an Optimal Shape Design." Applied Mechanics and Materials 61 (June 2011): 43–54. http://dx.doi.org/10.4028/www.scientific.net/amm.61.43.

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The aim of this paper is to study the implementation of an efficient and reliable methodology for shape optimization problems where the objective function and constraints are not known explicitly and are dependent on the Finite Element Analysis (FEA). It is based on the Simultaneous Perturbation Stochastic Approximation (SPSA) method for solving unconstrained continuous optimization problems. We also propose Penalty SPSA (PSPSA) for solving constrained optimization problems, the constraints are handled using exterior point penalty functions within an algorithm that combines SPSA and exact penalty transformations. This paper presents a new structural optimization methodology that combines shape optimization, geometric modeling, FEA and PSPSA method to successfully optimize structural optimization problems. Several tests have been performed on some well known benchmark functions to demonstrate the robustness and high performance of the suggested methodology. In addition, an illustrative two-dimensional structural problem has been solved in a very efficient way. The numerical results demonstrate the robustness and high performance of the suggested methodology for structural optimization problems.

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Katz, Irvin R., Michael E. Martinez, Kathleen M. Sheehan, and Kikumi K. Tatsuoka. "Extending the Rule Space Methodology to a Semantically-Rich Domain: Diagnostic Assessment in Architecture." Journal of Educational and Behavioral Statistics 23, no. 3 (September 1998): 254–78. http://dx.doi.org/10.3102/10769986023003254.

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This paper presents a technique for applying the Rule Space methodology of cognitive diagnosis to assessment in a semantically-rich domain. Previous applications of Rule Space—all in simple, well-structured domains—based diagnosis on examinees’ ability to perform individual problem-solving steps. In a complex domain, however, test items might be so different from one another that the problem-solving steps used for one item are unrelated to the steps used to solve another item. The technique presented herein extends Rule Space’s applicability by basing diagnosis on item characteristics that are more abstract than individual problem-solving steps. A cognitive model of problem-solving motivates selection of characteristics in order to maintain the connection between an examinee’s problem-solving skill and his/her diagnosis. To test the extended Rule Space procedure, data were collected from 122 architects of three ability levels (students, architecture interns, and professional architects) on a 22-item test of architectural knowledge. Rule Space provided diagnostic reporting for between 40 and 90% of examinees. The findings support the effectiveness of Rule Space in a complex domain.

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