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Готові списки джерел за темами / Operations Research

Добірка наукової літератури з теми "Operations Research"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 8 червня 2024

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Статті в журналах з теми "Operations Research":

1

Morita, Hiroshi, Kazuyuki Sekitani, Hiroshi Yabe, Tohru Ueda, and Hirofumi Fukuyama. "EDITORIAL INTRODUCTION : A SPECIAL ISSUE ON "OPERATIONS RESEARCH FOR PERFORMANCE EVALUATION"(Operations Research for Performance Evaluation)." Journal of the Operations Research Society of Japan 52, no. 2 (2009): 75. http://dx.doi.org/10.15807/jorsj.52.75.

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2

Arora, J. K. "Operations Research." Review of Professional Management- A Journal of New Delhi Institute of Management 5, no. 1 (June 1, 2007): 100. http://dx.doi.org/10.20968/rpm/2007/v5/i1/100991.

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3

Pierskalla, William P. "Operations research." Information Knowledge Systems Management 8, no. 1-4 (2009): 241–76. http://dx.doi.org/10.3233/iks-2009-0152.

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4

Zapfel, G. "Operations research." European Journal of Operational Research 94, no. 2 (October 1996): 419–20. http://dx.doi.org/10.1016/0377-2217(96)82390-3.

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5

Lanzerotti, Louis J. "Research to Operations Paired With Operations to Research." Space Weather 9, no. 2 (February 2011): n/a. http://dx.doi.org/10.1029/2010sw000653.

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6

Tang, Lixin, Ying Meng, Gongshu Wang, Zhi-Long Chen, Jiyin Liu, Guofen Hu, Lijun Chen, and Bo Zhang. "Operations Research Transforms Baosteel’s Operations." Interfaces 44, no. 1 (February 2014): 22–38. http://dx.doi.org/10.1287/inte.2013.0719.

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7

Missner, Emily, and Leslie J. Reynolds. "Operations Management/Operations Research Web Sites." Journal of Business & Finance Librarianship 8, no. 3-4 (March 2003): 253–64. http://dx.doi.org/10.1300/j109v08n03_12.

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8

Hughes, Wayne P. "Navy Operations Research." Operations Research 50, no. 1 (February 2002): 103–11. http://dx.doi.org/10.1287/opre.50.1.103.17786.

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9

Pressmar, D., K. E. Jäger, and H. Krallmann. "Operations research proceedings." European Journal of Operational Research 45, no. 1 (March 1990): 119. http://dx.doi.org/10.1016/0377-2217(90)90174-a.

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10

Tang, Chengyou. "The Investigation and Research on Operation Management." Advances in Economics, Management and Political Sciences 85, no. 1 (May 28, 2024): 30–35. http://dx.doi.org/10.54254/2754-1169/85/20240832.

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The ability to effectively manage operations is an essential asset for any firm. In addition to ensuring that procedures are efficient, it also guarantees that resources are utilized effectively and that the organization's goals are met. An investigation of operations management serves as the foundation for this paper, which is then analyzed and recorded by a survey of the businesses that were engaged. This paper employs literature review and literature analysis as its research methods and investigates the disparities between company operation management and performance, as well as the means by which competitive strategies can be implemented. The study's findings have facilitated accurate planning and performance for Walmart with respect to operation management, while also establishing the criticality of operation management in the company's growth trajectory. Additionally, it offers a solid basis and guidance for any organization that may have uncertainties and alternative decisions regarding operational management in the coming years.

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Дисертації з теми "Operations Research":

1

Polo, Mejia Oliver Javier. "Operational research approach for optimising the operations of a nuclear research laboratory." Thesis, Toulouse, INSA, 2019. http://www.theses.fr/2019ISAT0033.

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Cette thèse présente les résultats d’un projet de recherche visant l’optimisation du processus d’ordonnancement d’activités au sein d’un laboratoire de recherche du Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA). Pour aborder ce problème, nous décomposons chaque activité en un ensemble de tâches élémentaires pour appliquer des méthodes classiques d’ordonnancement. Nous modélisons le problème d’ordonnancement du laboratoire comme une version étendue du problème de gestion de projet multi-compétences (Multi-Skill Project Scheduling Problem ou MSPSP). En première approche, nous proposons un MSPSP avec pénalité par préemption, ainsi que sa formulation en Programmation Linéaire en Nombres Entiers (PLNE). Dans cette version du problème, la préemption est autorisée et une pénalité est appliquée chaque fois qu’une activité est interrompue. Cette approche précédente ne prend cependant pas en compte toutes les contraintes de sûreté et sécurité de l’installation et une variante plus précise du problème est nécessaire. Ainsi, nous proposons ensuite d’intégrer le concept de préemption partielle au MSPSP. Ce concept, qui n’a pas encore été étudié dans la littérature scientifique, implique que seul un sous-ensemble de ressources est libéré pendant les périodes de préemption. Le problème qui en découle (MSPSP avec préemption partielle ou MSPSP-PP) est modélisé à l’aide de deux méthodologies : la PLNE et la programmation par contraintes. Compte tenu du besoin industriel de disposer de bonnes solutions dans un délai très court, nous présentons également une série d’algorithmes heuristiques pour MSPSP-PP. Tout d’abord, nous présentons un algorithme glouton qui utilise des règles de priorité et un problème de flot pour l’affectation des techniciens. Pour améliorer les solutions de l’algorithme glouton, nous présentons un algorithme de recherche locale basée sur une arborescence binaire et une procédure de recherche adaptative aléatoire gloutonne. Enfin, nous présentons un algorithme de recherche locale à grand voisinage, une procédure hybride combinant des méthodes exactes et heuristiques. Une maquette d’interface graphique, permettant l’exploitation simple des algorithmes d’ordonnancement par l’équipe de planification de l’installation, est aussi présentée
This dissertation presents the results of a research project aiming to optimise the scheduling of activities within a research laboratory of the “Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA)”. To tackle this problem, we decompose every activity into a set of elementary tasks to apply standard scheduling methods. We model the problem as an extended version of the Multi-Skill Project Scheduling Problem (MSPSP). As a first approach, we propose an MSPSP with penalty for preemption, along with its mixed-integer/linear programming (MILP) formulation, where the preemption is allowed applying a penalty every time an activity is interrupted. However, the previous approach does not take into account all safety constraints at the facility, and a more accurate variant of the problem is needed. We then propose to integrate the concept of partial preemption to the MSPSP. This concept, which has not been yet studied in the scientific literature, implies that only a subset of resources is released during preemption periods. The resulting MSPSP with partial preemption (MSPSP-PP) is modelled using two methodologies: MILP and constraint programming. Regarding the industrial need of having good solutions in a short time, we also present a series of heuristics algorithms for the MSPSP-PP. First, we present a serial greedy algorithm, using priority rules and a flow problem for the allocation of technicians. To improve the solutions of the greedy algorithm, we present a binary-tree-based search algorithm and a greedy randomised adaptive search procedure. Finally, we present a large neighbourhood search algorithm, a hybrid procedure combining exact and heuristic methods. A mock-up of a Graphical User Interface, allowing the exploitation of the scheduling algorithms by the CEA is also presented

2

Ben-Zvi, Noa. "(OR)² : operations research applied to operating room supply chain." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91096.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 63).
Massachusetts General Hospital (MGH) is ranked as the top hospital in New England and second nation-wide. It is also the largest hospital in New England; it uses an average of 58 operating rooms, where approximately 150 surgical procedures are performed daily. Management of surgical supplies is a critical component of the processes supporting this infrastructure. Specifically, ensuring the right equipment and supplies are available at the right time is critical for the efficiency and quality outcomes of each of the procedures. The materials management group handles over 10,000 unique items, purchased from more than 400 vendors. The majority (60-70%) of disposable supplies are ordered through Owens & Minor, a medical and surgical supplies distributor. The supplies are stored in multiple locations throughout the hospital, including two central locations as well as carts and cabinets on the surgical floors and in the operating rooms. The work described in this thesis focuses on the inventory management of disposable surgical supplies, where the current system design has inefficiencies in the inventory levels and location of items. Using a data-driven approach, based on historical demand, we calculate base stock levels by item that maintain three days of inventory at a 99 percent service level. In addition, we suggest a methodology to support decisions on inventory locations of the different items. Implementation of the recommended changes is estimated to result in savings of 30-40% in inventory levels (and space), corresponding to a one time saving of $700,000-$900,000, depending on the implementation scenario. In addition, the reduction in inventory levels can be translated to future savings in inventory holding costs at an estimated 40% rate, leading to a saving of roughly $300,000 annually.
by Noa Ben-Zvi.
S.M.
M.B.A.

3

Stuart, Kari Louise. "Using operations research methodologies to improve operating theatre scheduling." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/48697/1/Kari_Stuart_Thesis.pdf.

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A hospital consists of a number of wards, units and departments that provide a variety of medical services and interact on a day-to-day basis. Nearly every department within a hospital schedules patients for the operating theatre (OT) and most wards receive patients from the OT following post-operative recovery. Because of the interrelationships between units, disruptions and cancellations within the OT can have a flow-on effect to the rest of the hospital. This often results in dissatisfied patients, nurses and doctors, escalating waiting lists, inefficient resource usage and undesirable waiting times. The objective of this study is to use Operational Research methodologies to enhance the performance of the operating theatre by improving elective patient planning using robust scheduling and improving the overall responsiveness to emergency patients by solving the disruption management and rescheduling problem. OT scheduling considers two types of patients: elective and emergency. Elective patients are selected from a waiting list and scheduled in advance based on resource availability and a set of objectives. This type of scheduling is referred to as ‘offline scheduling’. Disruptions to this schedule can occur for various reasons including variations in length of treatment, equipment restrictions or breakdown, unforeseen delays and the arrival of emergency patients, which may compete for resources. Emergency patients consist of acute patients requiring surgical intervention or in-patients whose conditions have deteriorated. These may or may not be urgent and are triaged accordingly. Most hospitals reserve theatres for emergency cases, but when these or other resources are unavailable, disruptions to the elective schedule result, such as delays in surgery start time, elective surgery cancellations or transfers to another institution. Scheduling of emergency patients and the handling of schedule disruptions is an ‘online’ process typically handled by OT staff. This means that decisions are made ‘on the spot’ in a ‘real-time’ environment. There are three key stages to this study: (1) Analyse the performance of the operating theatre department using simulation. Simulation is used as a decision support tool and involves changing system parameters and elective scheduling policies and observing the effect on the system’s performance measures; (2) Improve viability of elective schedules making offline schedules more robust to differences between expected treatment times and actual treatment times, using robust scheduling techniques. This will improve the access to care and the responsiveness to emergency patients; (3) Address the disruption management and rescheduling problem (which incorporates emergency arrivals) using innovative robust reactive scheduling techniques. The robust schedule will form the baseline schedule for the online robust reactive scheduling model.

4

Puikko, J. (Janne). "An exact management method for demand driven, industrial operations." Doctoral thesis, University of Oulu, 2010. http://urn.fi/urn:isbn:9789514261879.

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Abstract The framing into demand driven operations is because of the operations research modelling approach. The modelling approach requires continuous regressors and an independent response factor. The demand as an operating factor is considered as independent response factor in relation to the continuous regressors. The method validation is made along several longitudinal case studies to cover local, global and international industrial operations. The examined operational scope is from continuous operations to one-off production. Concerning scheduling, these examined demand driven, industrial operations are considered as open and dynamic, flow shop or job-shop operations. The examined managerial scope is from local work management to global industrial operations management. The theoretical framework of this study is based on operations management, productivity and controllability engineering. The strategical target is to improve productivity. The operational target setting is based on linear goal programming, streamlined demand driven material flow and specified operating factors according to this study, Forrester effect diagnostics and replenishment models. The engineering of strategical target into exact operational schedule as a task target is hard to accomplish, because of the combinatorial dynamic job-shop problem. The purpose of this study is to simplify this managerial task. These study operating factors are the heart in constructing a Decision Support System for the examined operations, alongside the method’s product flow diagnostics. This operations management method consists of the operating factors, specified in this study and these specified factors’ use in constructing a Decision Support System, by engineering current operations management system. The construct consist two parts. Firstly, the exact operational target alignment along this method diagnostics and secondly, the control mechanism according to this operational linear target. The expected managerial benefit is in productivity improvement. The practical benefits are in savings in logistics costs and improvement in customer service, due to shorten lead time and exacting delivery.

5

Rolland, Erik. "Abstract heuristic search methods for graph partitioning." Connect to resource, 1991. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262633923.

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6

Sabwa, Jean-Marie. "Modeling of Spaza shop operations using soft and hard operational research techniques." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/7698.

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Includes bibliographical references (leaves 90-93).
Globalization has transformed the world into a big village in which the rich are becoming richer and the poor getting poorer. In the commercial world the trend is for big business to buy out the smaller companies and consequently get bigger. Yet it is arguable that small businesses have assisted in providing much needed services to small communities that occupy informal settlements and exist on or below the poverty datum line. The South African government has amongst its main objectives the alleviation of poverty and the improvement of life in previously disadvantaged communities. The government has allowed the micro-enterprises and small businesses in the informal sector to thrive and in this sector are Spaza shops that supply a wide range of grocery commodities to informal settlements. This paper is about an application framework of soft and hard operational research (OR) techniques used to address the performance of micro-enterprises with Spaza shops in Western Cape as a speciﬁc case study. The techniques include Strategic Options Development and Analysis (SODA) using Causal mapping and Soft System Methodology (SSM). These were chosen because of their suitability to understand performance problems faced by Spaza shops owners and ﬁnd ways of improving the current situation by modelling the intervention of stakeholders. The improvement of Spaza shop businesses is a matter for all stakeholders. Causal mapping, helped to identify and structure the multiple conﬂicting aspects of Spaza shops business. Soft System Methodology made it possible to conceptualize the intervention model based on the rich picture and root deﬁnitions for relevant world-views and see what changes are culturally feasible and systematically desirable. Computer simulations were used to help design and test performance measurement indicators for the Spaza shops so as to enable decision-makers to choose the optimal strategy. Statistical analysis came into account to enable us to capture the seasonality and bring up clustering patterns.

7

Sianturi, Maikel. "Operations research applied to forestry management." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ53253.pdf.

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8

Kaczynski, William H. "Computational applications in stochastic operations research." W&M ScholarWorks, 2009. https://scholarworks.wm.edu/etd/1539623340.

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Several computational applications in stochastic operations research are presented, where, for each application, a computational engine is used to achieve results that are otherwise overly tedious by hand calculations, or in some cases mathematically intractable. Algorithms and code are developed and implemented with specific emphasis placed on achieving exact results and substantiated via Monte Carlo simulation. The code for each application is provided in the software language utilized and algorithms are available for coding in another environment. The topics include univariate and bivariate nonparametric random variate generation using a piecewise-linear cumulative distribution, deriving exact statistical process control chart constants for non-normal sampling, testing probability distribution conformance to Benford's law, and transient analysis of M/M/s queueing systems. The nonparametric random variate generation chapters provide the modeler with a method of generating univariate and bivariate samples when only observed data is available. The method is completely nonparametric and is capable of mimicking multimodal joint distributions. The algorithm is "black-box," where no decisions are required from the modeler in generating variates for simulation. The statistical process control chart constant chapter develops constants for select non-normal distributions, and provides tabulated results for researchers who have identified a given process as non-normal The constants derived are bias correction factors for the sample range and sample standard deviation. The Benford conformance testing chapter offers the Kolmogorov-Smirnov test as an alternative to the standard chi-square goodness-of-fit test when testing whether leading digits of a data set are distributed according to Benford's law. The alternative test has the advantage of being an exact test for all sample sizes, removing the usual sample size restriction involved with the chi-square goodness-of-fit test. The transient queueing analysis chapter develops and automates the construction of the sojourn time distribution for the nth customer in an M/M/s queue with k customers initially present at time 0 (k ≥ 0) without the usual limit on traffic intensity, rho < 1, providing an avenue to conduct transient analysis on various measures of performance for a given initial number of customers in the system. It also develops and automates the construction of the sojourn time joint probability distribution function for pairs of customers, allowing the calculation of the exact covariance between customer sojourn times.

9

Girotra, Karan. "Essays in operations management." online access from Digital Dissertation Consortium, 2007. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?3260909.

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10

Leung, Ngai-Hang Zachary. "Three essays in operations management." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92698.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references.
The thesis applies optimization theory to three problems in operations management. In the first part of the thesis, we investigate the impact of inventory control on the availability of drugs to patients at public health facilities in Zambia. We present consistent empirical data and simulation results showing that, because of its failure to properly anticipate seasonal variations in demand and supply lead-times, this system leads to predictable patient-level stock-outs even when there is ample inventory available in the central warehouse. Secondly, we propose an alternative inventory control system relying on mobile devices and mathematical optimization, and present results from a validated simulation model suggesting that its implementation would lead to a substantial improvement of patient access to drugs relative to the current system. In the second part of the thesis, we investigate the impact of returning customers on pricing for fashion Internet retailers. Our analysis of clickstream data from an online fashion retailer shows that a significant proportion of sales is due to returning customers, i.e. customers who first visit an item at a particular price, but purchase the item in a later visit at a lower price. We propose a markdown pricing model that explicitly incorporates returning customers. We propose a model for quantifying the value of the returning pricing model relative to a pricing model that does not distinguish between first-time and returning customers, and determine the value of returning pricing both exactly and through developing bounds. Based on real data from a fashion Internet retailer, we estimate the parameters of the returning demand model and determine the value of the returning pricing model. Lastly, we study the promotion optimization problem faced by grocery retailers, i.e. deciding which items to promote and at what price. Our formulation includes several business rules that arise in practice. We build demand models from data in order to capture the stockpiling behavior through dependence on past prices. This gives rise to a hard problem. For general additive and multiplicative demand structures, we propose efficient LP based methods, show theoretical performance guarantees and validate our results using real data.
by Ngai-Hang Zachary Leung.
Ph. D.

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Книги з теми "Operations Research":

1

Stingl, Peter. Operations Research. München: Carl Hanser Verlag GmbH & Co. KG, 2002. http://dx.doi.org/10.3139/9783446401594.

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2

Kumar, Amit, and Mangey Ram. Operations Research. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003156291.

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3

Nickel, Stefan, Steffen Rebennack, Oliver Stein, and Karl-Heinz Waldmann. Operations Research. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65346-3.

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4

Eiselt, H. A., and Carl-Louis Sandblom. Operations Research. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97162-5.

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5

Purutçuoğlu, Vilda, Gerhard-Wilhelm Weber, and Hajar Farnoudkia. Operations Research. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003324508.

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6

Grundmann, Wolfgang. Operations Research. Wiesbaden: Vieweg+Teubner Verlag, 2002. http://dx.doi.org/10.1007/978-3-322-80047-3.

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Eiselt, H. A., and Carl-Louis Sandblom. Operations Research. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10326-1.

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8

Dinkelbach, Werner. Operations Research. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77162-0.

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9

Ellinger, Theodor. Operations Research. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-97249-2.

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10

Fandel, Günter, and Hermann Gehring, eds. Operations Research. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76537-7.

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Частини книг з теми "Operations Research":

1

Clarke, Michael D. D., and David M. Ryan. "operations research." In Encyclopedia of Operations Research and Management Science, 10–16. New York, NY: Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_24.

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2

Grosche, G., V. Ziegler, D. Ziegler, and E. Zeidler. "Operations Research." In Teubner-Taschenbuch der Mathematik, 162–227. Wiesbaden: Vieweg+Teubner Verlag, 1995. http://dx.doi.org/10.1007/978-3-322-95375-9_2.

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3

Rand, Graham K., and Frances O’Brien. "Operations Research." In The Palgrave Encyclopedia of Strategic Management, 1172–74. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_792.

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4

Weik, Martin H. "operations research." In Computer Science and Communications Dictionary, 1155. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12890.

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5

Vertinsky, Ilan. "Operations Research." In The New Palgrave Dictionary of Economics, 1–6. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_1370-1.

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6

Vertinsky, Ilan. "Operations Research." In The New Palgrave Dictionary of Economics, 1–8. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_1370-2.

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7

Collins, Andrew J., and Christine S. M. Currie. "Operations Research." In Handbook of Real-World Applications in Modeling and Simulation, 165–206. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118241042.ch5.

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8

Buckley, James J., Esfandiar Eslami, and Thomas Feuring. "Operations Research." In Fuzzy Mathematics in Economics and Engineering, 81–144. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1795-9_6.

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Foulds, L. R. "Operations Research." In Universitext, 225–67. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-0933-1_12.

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Bonart, Thomas, and Jürgen Bär. "Operations Research." In Quantitative Betriebswirtschaftslehre Band I, 83–169. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-18394-3_2.

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Тези доповідей конференцій з теми "Operations Research":

1

Anthony, Barbara M. "Operations research." In the 43rd ACM technical symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2157136.2157271.

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2

Louis, Joseph, and Phillip Dunston. "Platform for Real Time Operational Overview of Construction Operations." In Construction Research Congress 2016. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479827.248.

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3

PowellJr., Alfred M., Mitch Goldberg, and Marie Colton. "Research to operations." In Optics & Photonics 2005, edited by Hung-Lung A. Huang, Hal J. Bloom, Xiaofeng Xu, and Gerald J. Dittberner. SPIE, 2005. http://dx.doi.org/10.1117/12.615235.

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4

Montaser, Ali, and Osama Moselhi. "RFID+ for Tracking Earthmoving Operations." In Construction Research Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412329.102.

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5

"OPERATIONS RESEARCH AS A SERVICE." In 2nd International Conference on Cloud Computing and Services Science. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003961704800483.

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6

"Advanced aircraft for atmospheric research." In Aircraft Design and Operations Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-3162.

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7

Zhen-hua, Cui, and Zhu Jun. "Research on Energy Balance Test of ESP." In SPE Production Operations Symposium. Society of Petroleum Engineers, 1995. http://dx.doi.org/10.2118/29511-ms.

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Terreno, S., C. J. Anumba, and C. Dubler. "BIM-Based Management of Building Operations." In Construction Research Congress 2016. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479827.185.

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Bryson, L. Sebastian, Christopher Maynard, Daniel Castro-Lacouture, and Robert L. Williams, II. "Fully Autonomous Robot for Paving Operations." In Construction Research Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40754(183)37.

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"NASA wake vortex research." In Aircraft Design, Systems, and Operations Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-4004.

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Звіти організацій з теми "Operations Research":

1

Phillips, Aaron, Chance Younkin, Glenn Fink, Matthew Oster, Thomas Edgar, Theora Rice, and Angela Chastain. ROTOR: Research to Operations and Operations to Research. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1989691.

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2

Srajer, V., R. Kolada, N. Stuart, and J. Szymanski. Operations research discussion document. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304920.

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3

Baker, D., ed. DIII-D research operations. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/6274269.

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4

Naudain, James C. Operations Research: A Valuable Asset for the Operational Commander. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada236367.

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5

JOINT SPECIAL OPERATIONS UNIV MACDILL AFB FL. Special Operations Research Topics 2015. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada616395.

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6

JSOC UNIV. Special Operations Research Topics 2016. Fort Belvoir, VA: Defense Technical Information Center, January 2015. http://dx.doi.org/10.21236/ada625611.

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7

Eagle, James D., and Kevin R. Wood. Summary of Research 2000, Department of Operations Research. Fort Belvoir, VA: Defense Technical Information Center, December 2001. http://dx.doi.org/10.21236/ada408840.

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Smith, Frances M., Frank C. Petho, and Robert R. Read. Summary of Research 1995, Department of Operations Research. Fort Belvoir, VA: Defense Technical Information Center, August 1996. http://dx.doi.org/10.21236/ada316190.

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9

Petho, Frank C., and Gerald Brown. Summary of Research 1996, Department of Operations Research. Fort Belvoir, VA: Defense Technical Information Center, November 1997. http://dx.doi.org/10.21236/ada337511.

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10

Kohut, Uliana, and Mariya Shyshkina. Providing the Fundamentalisation of Operations Research Learning Using MAXIMA System. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4464.

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Анотація:

In the article, the problems of using the systems of computer mathe- matics (SCM) as a tool to provide the fundamental component of operations re- search learning and students research activities support are considered. The role of SCM in the process of bachelors of informatics training and special aspects of pedagogical applications of these systems in the “Operations research” study is defined. The analysis of the basic concepts of the fundamentalisation of educa- tion and in particular the basic concepts of the fundamentalisation of informatics disciplines learning is summarized. The attempt to distinguish explicitly and specify the fundamental concepts in the content of “Operation research” learning is made. The method of “Operation research” study using Maxima system as a tool to support the basic concepts learning and an investigation is approved. The results of the pedagogical experiment on MAXIMA application to support the fundamental component of learning in the course of “Operation research” study and the analysis of its results are reported.