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Relevant bibliographies by topics / Management prioritization

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Academic literature on the topic 'Management prioritization'

Author: Grafiati

Published: 4 June 2025

Last updated: 14 July 2025

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Journal articles on the topic "Management prioritization"

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Dastyar, B., A. F. Esfahani, M. Askarifard, and A. MonirAbbasi. "Identification, Prioritization and Management of Construction Project Claims." Journal of Engineering, Project, and Production Management 8, no. 2 (2018): 90–96. http://dx.doi.org/10.32738/jeppm.201807.0004.

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Arama, Madalina Georgeta. "ENVIRONMENTAL RISK PRIORITIZATION IN MANAGEMENT." Environmental Engineering and Management Journal 5, no. 4 (2006): 833–40. http://dx.doi.org/10.30638/eemj.2006.070.

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Moilanen, Atte, John R. Leathwick, and John M. Quinn. "Spatial prioritization of conservation management." Conservation Letters 4, no. 5 (2011): 383–93. http://dx.doi.org/10.1111/j.1755-263x.2011.00190.x.

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Rodrigues, Luciana Magalhães Girardin Pimentel, and Luciano Ferreira da Silva. "Influence of sponsor's management style in project prioritization." Journal of Industrial Engineering and Management 13, no. 3 (2020): 430. http://dx.doi.org/10.3926/jiem.3068.

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Purpose: The purpose of this paper is understand how the different styles of sponsor management influence the prioritization of projects.Design/methodology/approach: The empiric analysis used in-depth interviews with 11 executives as method for data collection and qualitative content analysis using theory and data driven categories for analysis is performed.Findings: This research points to the emergence of opportunistic management style, and to evidences of lack of strategic alignment in the project prioritization process.Research limitations/implications: The lack of prioritization methods evidences to compare with project management style. Also, the number of project managers to interview as experts.Practical implications: The analysis shows that committees and post-project evaluation be established to mitigate failures in the prioritization process impacted from sponsor’s management styles influence.Originality/value: The paper provides a critical perspective about sponsor’s management styles and project prioritization context; it is important to highlight how different management styles of the sponsor result in different behaviors in the companies.

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Podsevalov, Artem G., and Mikhail I. Kudinov. "Issues of using vulnerability prioritization algorithms when organizing the vulnerability management process." Digital technology security, no. 1 (March 26, 2024): 52–73. http://dx.doi.org/10.17212/2782-2230-2024-1-52-73.

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The purpose of this scientific research is to analyze the possibilities of increasing the level of protection of an organization's defense against cyber threats by applying vulnerability prioritization algorithms. There are various approaches to creating vulnerability prioritization algorithms that take into account many metrics. For example, the potential impact on the information system when exploiting the vulnerability, the complexity of exploiting the vulnerability, the difficulty of eliminating it, etc. This article is devoted to the issues of organizing the process of managing vulnerabilities, in particular, various methods (algorithms) of their prioritization to determine the priority of elimination and the rational distribution of human resources of the organization. Various algorithms for prioritizing vulnerabilities were reviewed and analyzed, and conclusions were drawn about their advantages and disadvantages. In conclusion, the work proposes a version of the vulnerability prioritization algorithm that takes into account the most important metrics, as well as the recommendations of the FSTEC of Russia.

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Ernst, Ricardo, and Morris A. Cohen. "Customer Prioritization Strategies for Distribution Management." International Journal of Operations & Production Management 12, no. 3 (1992): 25–37. http://dx.doi.org/10.1108/01443579210008105.

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Nielsen, Abraham M., and Songlin Fei. "Assessing the flexibility of the Analytic Hierarchy Process for prioritization of invasive plant management." NeoBiota 27 (September 15, 2015): 25–36. https://doi.org/10.3897/neobiota.27.4919.

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Decision tools have been advocated to assist the prioritization of management areas for preventing and mitigating exotic invasions into native ecosystems. Currently, most tools have been created for specific invaders/regions and are thus often not sufficient to address the complex range of invasion scenarios that managers encounter. As exotic invasions continue to be a major issue, science-based, information-driven tools are pressingly needed. In this study, we explore the potential of utilizing the Analytic Hierarchy Process (AHP), one of the information-driven tools, to flexibly prioritize various invasion scenarios by incorporating a broad spectrum of management data. We tested the flexibility of the AHP management tool with two distinct invasion-stage-specific prioritizations for Amur honeysuckle (Lonicera maackii). The AHP tool successfully created two management prioritizations from contrasting invasion scenarios of established Amur honeysuckle invasion versus a hypothetical scenario of newly invading populations. The flexibility of AHP allowed users to alter input based on the stage of invasion in each scenario. In the established scenario, management priority was assigned to removing Amur honeysuckle from the most ecologically significant areas. For the new invasion scenario, priority was shifted to removing the invader from areas of most recent invasions. The two contrasting prioritizations demonstrate the flexibility of AHP as a management tool. We conclude that the flexible AHP tool could be useful for prioritizing management of exotic plant invasions.

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von Hohendorff Filho, João Carlos, and Denis José Schiozer. "Influence of well management in the development of multiple reservoir sharing production facilities." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 75 (2020): 70. http://dx.doi.org/10.2516/ogst/2020064.

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Well prioritization rules on integrated production models are required for the interaction between reservoirs and restricted production systems, thus predicting the behavior of multiple reservoir sharing facilities. This study verified the impact of well management with an economic evaluation based on the distinct prioritizations by reservoir with different fluids. We described the impact of the well management method in a field development project using a consolidated methodology for production strategy optimization. We used a benchmark case based on two offshore fields, a light oil carbonate and a black-oil sandstone, with gas production constraint in the platform. The independent reservoir models were tested on three different approaches for platform production sharing: (Approach 1) fixed apportionment of platform production and injection, (Approach 2) dynamic flow-based apportionment, and (Approach 3) dynamic flow-based apportionment, including economic differences using weights for each reservoir. Approach 1 provided the intermediate NPV compared with the other approaches. On the other hand, it provided the lowest oil recovery. We observed that the exclusion of several wells in the light oil field led to a good valuation of the project, despite these wells producing a fluid with higher value. Approach 2 provided the lower NPV performance and intermediate oil recovery. We found that the well prioritization based on flow failed to capture the effects related to the different valuation of the fluids produced by the two reservoirs. Approach 3, which handled the type of fluids similarly to Approach 1, provided a greater NPV and oil recovery than the other approaches. The weight for each reservoir applied to well prioritization better captured the gains related to different valuation of the fluids produced by the two reservoirs. Dynamic prioritization with weights performed better results than fixed apportionment to shared platform capacities. We obtained different improvements in the project development optimization due to the anticipation of financial returns and CAPEX changes, due mainly from adequate well apportionment by different management algorithm. Well management algorithms implemented in traditional simulators are not developed to prioritize different reservoir wells separately, especially if there are different economic conditions exemplified here by a different valuation of produced fluids. This valuation should be taken into account in the short term optimization for wells.

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Sharpe, Leah M., Matthew C. Harwell, and Chloe A. Jackson. "Integrated stakeholder prioritization criteria for environmental management." Journal of Environmental Management 282 (March 2021): 111719. http://dx.doi.org/10.1016/j.jenvman.2020.111719.

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Long, A. Lexine, Karin M. Kettenring, and Richard Toth. "Prioritizing Management of the Invasive Grass Common Reed (Phragmites australis) in Great Salt Lake Wetlands." Invasive Plant Science and Management 10, no. 2 (2017): 155–65. http://dx.doi.org/10.1017/inp.2017.20.

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Nonnative invasive species are one of the biggest threats to biodiversity worldwide. In many cases the extent of the area invaded by an invasive species is so substantial that there are simply insufficient resources to control and manage the full extent of the invasion. Efficient use of resources and best management practices are critical for achieving invasive species management goals. Systematic regional planning is one way to quantitatively prioritize different management actions across the landscape, and is a tool that could be applied to large-scale invasive species management. Spatial prioritization has been used in several wetland restoration planning studies, in forest restoration, and in riparian and watershed restoration. Spatial prioritization has not been used as extensively in invasive species management, yet there are clear opportunities for spatial prioritization methods to inform invasive species management. Here we apply results from species distribution models to create a prioritization framework for control of the invasive wetland grass common reed, one of the most problematic invasive plants in North American wetlands.

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Dissertations / Theses on the topic "Management prioritization"

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Berander, Patrik. "Evolving prioritization for software product management /." Karlskrona : Deprtment of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, 2007. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/e68ddab28202b60dc125729f003936e0?OpenDocument.

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Levin-Nielsen, Abraham Michael. "SPATIAL PRIORITIZATION FOR INVASIVE PLANT MANAGEMENT." UKnowledge, 2012. http://uknowledge.uky.edu/forestry_etds/6.

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Invasive exotic plant species have been recognized as serious threats to ecosystems. Extensive research on invasive exotic plant species has primarily focused on the impacts, characteristics, and potential treatments. Decision tools and management models that incorporate these findings often lack input from managers and have limited use in differing invasion scenarios. Therefore, in this study, I created a scientifically-driven framework that incorporates expert input to prioritize watersheds for management within the Inner Bluegrass region of Kentucky. The widely distributed invasive exotic plant Amur honeysuckle (Lonicera maackii) was used as an example species. The framework is built around the Analytic Hierarchy Process and highlights areas in most need of invasive exotic plant management by incorporating weighted landscape variables associated with the invasion process. Results of the prioritization provide useful information for natural resource managers by aiding in the development of control strategies while also creating a valuable framework that can be adapted to various invasive exotic plant species.

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PAOLIELLO, DANIELLE BARBOSA. "PROJECT PORTFOLIO MANAGEMENT: PRIORITIZATION PRACTICES IN BANKING INSTITUTIONS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30936@1.

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Os avanços tecnológicos, a acirrada concorrência entre as empresas e as frequentes mudanças sociais e mercadológicas impõem uma constante busca por métodos, ferramentas e processos efetivos de gestão empresarial. Há firmas que buscam vantagem competitiva sustentável para se destacarem dos demais players que atuam no mesmo segmento de mercado globalizado. Existem também empresas que adotam estratégias com intuito apenas de sobrevivência do negócio e outras cujo foco é estritamente social, visando o desenvolvimento da sociedade, sustentabilidade ambiental, dentre outros. Dentro deste contexto, as práticas de gestão de portfólio de projetos estão sendo cada vez mais adotadas para melhoria de processos ou desenvolvimento de produtos e serviços inovadores. Um dos principais desafios enfrentados pelas organizações é definir de maneira adequada o processo de priorização dos projetos, objetivando cumprir as diretrizes estratégicas definidas pela alta cúpula administrativa. O objetivo do presente trabalho é identificar como esta priorização ocorre em instituições financeiras brasileiras. Os procedimentos metodológicos utilizados são a pesquisa bibliográfica e de campo, por meio de estudos de casos com quatro bancos brasileiros. Os resultados da pesquisa indicam a prática de priorização de projetos pelo comitê executivo composto por representantes de diversas áreas. Os projetos regulatórios atendem à demandas legais e são considerados prioritários. Espera-se que os resultados encontrados contribuam para o aumento do conhecimento sobre a priorização dos projetos, gerando novas reflexões e questionamentos acerca do gerenciamento de portfólio de projetos no Brasil.<br>The technological advances, the fierce competition among companies and the frequent social and market changes demand a constant search for effective methods, tools and processes of business management. There are firms that look for a sustainable competitive advantage to stand out from the other players that operate in the same globalized market segment. There are also companies that only adopt business survival strategies and others whose focus is strictly social, aiming at the development of society, environmental sustainability, among others. Within this context, project portfolio management practices is being increasingly adopted to improve processes or develop innovative products and services. One of the greatest challenges companies face is to define an appropriate projects prioritization process, to accomplish the strategic goals defined by top management. The objective of this work is to identify how this prioritization occurs in Brazilian financial institutions. The methodological procedures used is mainly bibliographical and field research, through cases studies with four Brazilian banks. The research results present business practices used in project priorization by the executive committee composed of representatives from different areas. Regulatory projects fulfill legal demands and are considered priorities. It is expected that the results should contribute to rise the knowledge about of the prioritization of projects, produzing new questionings about project portfolio management in Brazil.

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Braley, Kordel Thomas. "A prioritization process for access management implementation in Utah /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1834.pdf.

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Braley, Kordel T. "A Prioritization Process for Access Management Implementation in Utah." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/896.

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Appropriate access management techniques can improve the safety and efficiency of arterial roads. In order to determine which roads can most benefit by the implementation of access management techniques, a prioritization process was developed to recommend various access management treatments such as limiting access points, installing raised medians, and ensuring adequate signal spacing along corridors. To serve as the basis for the performance index, a database was created including identifying features, characteristics, and crash history for 175 arterial road segments on Utah state routes. Stepwise linear regression was applied to the data collected to determine which characteristics of the roads were correlated with crash rate, crash severity, and specific collision types. Signal spacing, access density, and median type were all determined to be correlated with crash rates and crash severity. Specifically, signals per mile, access density, and two-way left-turn lanes were all positively correlated with crashes. Other characteristics such as adjacent land use and volume were also analyzed. Finally, recommendations for access management treatments were given in the form of a decision tree. The decision tree may be used to classify existing or future road segments into subcategories based on volume, signal spacing, land use, and other criteria, with recommendations provided for each subcategory.

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Arshad, Muteer, and Tehman Pervaiz. "Designing Emergency Management Training Sessions for C3Fire – Prioritization & Information Searching." Thesis, Linköping University, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-51938.

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<p>C3Fire is an emergency management system. The purpose of this simulation system is to develop teamdecision making skills and to provide an opportunity for researchers to perform research in a controlledenvironment. Training is a crucial task for developing skills to tackle with emergency situation. Thepurpose of this thesis is to develop decision making by keeping focus on two major areas, namely;making prioritizations and information searching using UAV & Non UAV.</p><p>Success of dealing withemergency management situation mostly depends on these training factors.The methodology which we adapt to achieve these two training goals are as follow; first we designtraining sessions based on the literature study and research work. These training sessions are fullycapable of achieving desired goals (i.e. prioritization & information searching). Finally we test thesession by playing game with the participants from the real life.</p><p>In this thesis, theory part discusses literature about C3Fire and theoretical framework explains differentterminologies and methods used in emergency management. Training sessions and their analysis isexplained using theoretical framework. Better ways of communication and prioritization while takingdecisions in emergency situation are discussed.</p><p><strong>Keywords:</strong> C3Fire, Simulation System, Micro World, Teamwork, Situational Awareness, OODA,Prioritization, Information Searching, UAV, Non-UAV</p>

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Amlani, Ankur. "Floor entry task prioritization for highly automated fulfillment centers." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126943.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020 7102 Sloan School of Management.<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 103-106).<br>As automation continues to gain prevalence within the retail industry, informed decision-making by users of robotic systems is critical for management of throughput and operating expenditures. On robotic fulfillment floors, obstructions such as fallen product and deactivated robots can degrade robotic floor throughput by blocking access to product, forcing robots to re-route, and increasing worker idle time. Workers can walk onto the floor to address obstructions during operation, but such entry affects robot movement and can undermine the original intention of restoring throughput. This project aims to provide insight into the cost-benefit tradeoff of resolving obstructions to enable task prioritization and reduce unnecessary floor entry during operation, thereby improving system performance and reducing operating costs. We introduce a novel framework for modeling floor entry to determine the "value" of resolving an obstruction and apply an agile approach to rapidly develop and pilot a software tool for delivery of model recommendations in the field. During the treatment shifts, z-scores of measured pick work unavailability (our chosen performance metric, for which a reduction is indicative of improved throughput), were -0.72, -1.04, and -0.16 as compared with a control sample of similar shifts. The approximate fraction of obstructions resolved during non-operation increased by a factor of three, with recommendation adherence measurements indicating that the increase was driven by elimination of unnecessary (as determined by the model) floor entries during operation. While the sample size was not large enough to achieve a statistically significant outcome, these results offer useful insights regarding future analytical work, testing, and associated organizational changes.<br>by Ankur Amlani.<br>M.B.A.<br>S.M.<br>M.B.A. Massachusetts Institute of Technology, Sloan School of Management<br>S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering

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Simonsson, Filip, Azucar Eduardo Cuadra, and Johan Roos. "Motivational Factors and their Prioritization for GMP in Nordic SMEs." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39849.

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Purpose - The subject of green management and its connection to motivational factors is relatively unexplored in existing literature, especially regarding SMEs in the Nordic Countries. The paper aims to investigate frequencies of motivational factors as SMEs present them, suggest the theoretical prioritization of motivational factors for green management practices, and factors impact on different levels of green management. The reason for this is to help SMEs to better understand what motivational factors to prioritize to further their green management development. Design/Method - The chosen research method of this paper is quantitative, and the empirical data is collected through questionnaires distributed using business networks in the Nordic Countries. Furthermore, the research takes an abductive approach, with a positivist paradigm, and a mixture of ontological, epistemological, and method research assumption. Findings - This paper has found that at different levels of green management practices specific factors of motivation should theoretically be prioritized based on a regression model. Furthermore, the suggested prioritization is different from presented by the sample of this paper. Research Implications - Theoretically, the thesis suggests a conceptual map of existing frameworks and the motivational factors presented. Practically, SMEs can draw from this study to see if their prioritised motivation for implementation of green management is effective or if they can further improve it.

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Imlay, Ashton David. "Improving order prioritization for the allocation of constrained supply." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122576.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MIT<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MIT<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 54-55).<br>For top wholesale retail companies, the demand for products from US-based customers (wholesale, digital, and direct to consumer) is extremely high. However, the available supply of a product is contingent upon the success of long-term forecasting, manufacturers across the globe, and intercontinental transportation. Therefore, there is not always enough supply to meet demand. In these situations, wholesale retailers must decide which orders to prioritize in the allocation of available supply. This thesis presents a method for improving order prioritization by utilizing readily available data to wholesale retail companies and a method for predicting the effectiveness of the new prioritization methodology utilizing historical data. By prioritizing orders that meet certain characteristics deemed to be in-line with company strategy and simulating multiple conditions, it is possible to deliver improved service on a specific set of orders. The impact of this work has been verified through a simulation model. The model was used to simulate three months of supply and demand and indicated a possible increase of 10-90% in the number of units made available to ship to specific marketplace segments.<br>by Ashton David Imlay.<br>M.B.A.<br>S.M.<br>M.B.A. Massachusetts Institute of Technology, Sloan School of Management<br>S.M. Massachusetts Institute of Technology, Department of Civil and Environmental Engineering

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Mitchell, Steven. "HEURISTIC PRIORITIZATION OF EMERGENCY EVACUATION STAGING TO REDUCE CLEARANCE TIME." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4433.

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A region's evacuation strategy encompasses a variety of areas and needs. Primary among these is the minimization of total evacuation time, represented in models as the clearance time estimate (CTE). A generic testbed simulation network model was developed. An input/output (I/O) analysis was performed to establish a theoretical baseline CTE. Results were compared with simulations; analysis showed that the I/O method underestimated simulated CTE as a function of network size, with a correction factor range of 1.09 to 1.19. A regression model was developed for the generic network. Predictors were total trips, and network size defined as a function of origin-destination distance. Total Trips ranged between 40,000 and 60,000. Holding size constant, R-squared values ranged from 97.1 to 99.3, indicating a high goodness of fit. Holding Total Trips constant, R-squared values ranged from 74.5 to 89.2. Finally, both Total Trips and size were used as predictors; the resulting regression model had an R-squared value of 97.3. This overall model is more useful, since real world situations are not fixed in nature. The overall regression model was compared to a case network. The generic network regression model provided a close CTE approximation; deltas ranged from -4.7% to 8.6%. It was concluded that a generic network can serve as a surrogate for a case network over these ranges. This study developed and evaluated heuristic strategies for evacuation using the generic network. Strategies were compared with a simultaneous departure loading scenario. Six different grouping strategies were evaluated. An initial evaluation was conducted using the generic network, and strategies that showed potential CTE reduction were implemented on the case study network. Analysis indicated that the HF-10 (half-far) grouping for 60k total trips showed potential reduction. A complete simulation was conducted on the case network for all HF scenarios; an ANOVA was run using Dunnett's comparison. Results indicated that the HF grouping with 20% and 30% departure shifts showed potential for CTE reduction. From this it was concluded that the generic network could be used as a testbed for strategies that would show success on a case network.<br>Ph.D.<br>Department of Civil and Environmental Engineering<br>Engineering and Computer Science<br>Civil and Environmental Engineering

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Books on the topic "Management prioritization"

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Pittman, J. W. A prioritization of research activities. Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

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author, Colgrove Kathryn Cadenhead, ed. Prioritization, delegation, & management of care for the NCLEX-RN exam. F.A. Davis Company, 2014.

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United States. Federal Highway Administration. Office of Engineering. and United States. Federal Highway Administration. Office of Technology Applications., eds. Pavement management analysis: Multi-year prioritization, demonstration project 108 : executive summary. U.S. Dept. of Transportation, Federal Highway Administration, Office of Engineering, Office of Technology Applications, 1997.

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Brophy, Laura. Yaquina and Alsea River basins estuarine wetland site prioritization project: Final report. Green Point Consulting, 1999.

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Smith, Steven J. Lentic riparian-wetland area prioritization guide: A process for evaluating management & restoration priorities for non-riverine systems. U.S. Department of the Interior, Bureau of Land Management, Idaho State Office, 2007.

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United States. Congress. House. Committee on Homeland Security. The Department of Homeland Security: Promoting risk-based prioritization and management : hearing before the Committee on Homeland Security, House of Representatives, One Hundred Ninth Congress, first session, April 13, 2005. U.S. G.P.O., 2005.

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C, Doyle Meaghan, Mellon Cassie Danielle, and Walker Craig A, eds. Objectives and conservation actions for the three species, 2007 and 2008 assessment and prioritization for the State of Utah conservation and management plan for the roundtail chub, bluehead sucker, and flannelmouth sucker: Annual priorities for state fiscal years 2008 and 2009. Utah Dept. of Natural Resources, Division of Wildlife Resources, Division of Wildlife Resources, 2008.

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Time management, planning, and prioritization for librarians. Scarecrow Press, 2002.

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Targeted watershed approach: A data driven prioritization. [Illinois Environmental Protection Agency], 1997.

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Congress, United St, United States House of Representatives, and Committee on Homeland Security and Export Controls. Department of Homeland Security: Promoting Risk-Based Prioritization and Management. Independently Published, 2019.

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Book chapters on the topic "Management prioritization"

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Kiesow, Damon. "Product is Prioritization." In An Introduction to News Product Management. Routledge, 2023. http://dx.doi.org/10.4324/9781003154785-13.

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Tonelli, Marcello, and Nicoló Cristoni. "CE Data Collection and Prioritization." In Strategic Management and the Circular Economy. Routledge, 2018. http://dx.doi.org/10.4324/9781315102641-10.

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Panigrahi, Chhabi Rani, and Rajib Mall. "Model-Based Regression Test Case Prioritization." In Information Systems, Technology and Management. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12035-0_39.

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Hossain, A. M. M. Maruf. "Research Prioritization in Aerosol Geo-Engineering." In Handbook of Environmental Materials Management. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58538-3_102-1.

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Hossain, A. M. M. Maruf. "Research Prioritization in Aerosol Geo-Engineering." In Handbook of Environmental Materials Management. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-73645-7_102.

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Gupta, Varun, Siddharth Sethi, and Chetna Gupta. "Decision Aspect Prioritization Technique for Incremental Software." In System Performance and Management Analytics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7323-6_11.

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Pérez Vera, Yasiel, and Anié Bermudez Peña. "A Fuzzy Linguistic Approach for Stakeholder Prioritization." In Information Management and Big Data. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46140-9_5.

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Yoo, Hoon Sik, Young Hwan Pan, Ping Shui, and Da Young Ju. "Element Prioritization for Online Service Identity Management." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20895-4_50.

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Verma, Virendra Kumar. "Supplier Prioritization and Risk Management in Procurement." In Applications of Emerging Technologies and AI/ML Algorithms. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1019-9_29.

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Narayanswamy, Shilpa, and Nikhil Ghantial. "Supplier Prioritization and Risk Management in Procurement." In Applications of Emerging Technologies and AI/ML Algorithms. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1019-9_33.

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Conference papers on the topic "Management prioritization"

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Anderson, Leroy, and S. F. Biagiotti. "Secondary Benefits of Pipeline Risk Management – Enhanced Dig Prioritization Programs." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02072.

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Abstract The DOT Integrity Management Rule has prompted operators to collect and integrate all available data types to enhance an Operator's ability to quantify and minimize pipeline risk. This new availability of data has created several secondary benefits to pipeline operators, including - rapid information retrieval, the ability to simultaneously graph and correlate the results of multiple inspection techniques, and an enhanced toolkit for evaluating In-Line Inspection (ILI) results for the prioritization of remediation activities and other exploratory inspections. This paper will present and Operator's case history to demonstrate the benefits of using your risk model as part of the dig prioritization process.

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Deoghare, Seema U., Yash Dhond, Saakshi Gaikwad, and Parth Gorkhe. "Dynamic Traffic Signal Optimization Congestion Management and Emergency Vehicle Prioritization." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10915151.

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V S, Krithikaa Venket, Gayathri G, Dinesh L, Pradeep Raj A, Narendran M, and Sathya A. "Empowering Disaster Management with AI-Driven Debris Detection and Prioritization." In 2025 International Conference on Data Science and Business Systems (ICDSBS). IEEE, 2025. https://doi.org/10.1109/icdsbs63635.2025.11032067.

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Inaba, Tatsuya. "Used Product Prioritization in Reuse Process Using QUBO Model." In 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2024. https://doi.org/10.1109/ieem62345.2024.10857228.

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Garcia, Alfonso, Len J. Krissa, and Jerry DeWitt. "Repair Prioritization Analysis for Cased Pipeline Crossings." In CORROSION 2016. NACE International, 2016. https://doi.org/10.5006/c2016-07587.

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Abstract A major pipeline Company has an inventory of approximately 2300 cased crossings throughout the various regions of Canada and the USA. Emphasis for managing and controlling corrosion within cased pipeline crossings is increasing from both operator and regulatory perspectives. Understanding the causes and characteristics of carrier pipe corrosion is an important stride towards improved integrity management of cased crossings. An excavation at a cased highway location is a complicated and intrusive process considering the impact to traffic and the numerous permits required prior to initiating any repair activity. Execution of repair activities under these circumstances is also very expensive and time constrained. The pipeline industry has recognized these challenges and responded with a proactive solution to prevent situations of this nature. A vapor phase corrosion inhibitor gel solution is being applied to control the corrosiveness of the environment within the annular space of the casing and its effectiveness is continually monitored using remote telecommunication technologies. The technique is very effective on a case by case basis; however due to the number of casings within the system, it becomes impractical to qualify the entire inventory. Subsequently, a prioritization method has been developed to select cased crossings that require immediate mitigation and also schedule long range planning for repairs. The innovative and systematic process evaluates critical information and attributes within an expert environment using established decision making techniques. Priority for all locations is determined by structuring a hierarchy of criteria and eliciting technical judgment of company’s Subject Matter Experts (SMEs), stakeholders, and unbiased industry specialists. Experts’ opinions are supported by combining Cathodic Protection (CP) and Inline Inspections (ILI) results within a structured, multi-criteria decision making matrix to create an enterprise listing for the casing management program.

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Mishra, Vaishnavi, Obaid Noman, Nandkishor Bankar, Anjali Tiwari, Snehal Godbole, and Dilip Timilsina. "Large Language Model-based Mobile Apps in OPDs: Optimized Patient Management and Prioritization." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842782.

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Xiao, Zou, Shuai Guo, Qiannan Qu, Cong Chen, Xin Xiang, and Wuhua Li. "Enhanced Power Quality Control in Distribution Networks: Integrating Management Prioritization and Equipment Capacity." In 2024 CPSS & IEEE International Symposium on Energy Storage and Conversion (ISESC). IEEE, 2024. https://doi.org/10.1109/isesc63657.2024.10785505.

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Teja, Palani Pavan, S. Saravanan, Sura Deepika, Surepally Manasa, A. Vijaykumar, and M. Prameela. "Dynamic Traffic Management and Prioritization for Emergency Vehicles using IoT-enabled Density Control." In 2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT). IEEE, 2024. http://dx.doi.org/10.1109/iconscept61884.2024.10627923.

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Hmaidi, Amal, Hend Marouane, and Hassene Mnif. "A Novel Traffic Management Scheme Based on Message Prioritization for Intelligent Transportation System." In 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA). IEEE, 2024. https://doi.org/10.1109/aiccsa63423.2024.10912619.

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Iino, Yutaka, and Yasuhiro Hayashi. "A Resilience Management Method for Power Outages with Dynamic Prioritization of Consumer Resources." In 2025 15th International Conference on Power, Energy, and Electrical Engineering (CPEEE). IEEE, 2025. https://doi.org/10.1109/cpeee64598.2025.10987335.

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Reports on the topic "Management prioritization"

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Bennett, C. T. The role of risk-based prioritization in total quality management. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/115636.

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Black, Doug, Nadia Panossian, Jingjing Liu, et al. Survey and Gap Prioritization of U.S. Electric Vehicle Charge Management Deployments. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2403003.

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Chen, Jinqiang, Jianping Yan, and Weijun Zhang. Integrated Approach for Cost-Effective Disaster Risk Management. Asian Development Bank, 2024. http://dx.doi.org/10.22617/wps240461-2.

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The paper explains the framework developed under the Asian Development Bank’s technical assistance project, Integrated Framework for Cost-Effective Disaster Risk Management, which can be used by decision-makers in deliberating disaster risk management (DRM) measures in the process of disaster resilience investment. This paper highlights the integrated approach for DRM, that is, a comprehensive exploration of disaster risk reduction and residual risk management measures. It outlines the prioritization process based on cost-effective approach, allowing decision-makers to consider the direct benefits and co-benefits of DRM measures and make inclusive and robust decisions in the context of high uncertainties due to climate change and socioeconomic development, and with budgetary and capacity constraints.

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Bynum, Nora, Arlyne Johnson, and Madhu Rao. Assessing Threats In Conservation Planning And Management. American Museum of Natural History, 2006. http://dx.doi.org/10.5531/cbc.ncep.0172.

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This module reviews the role of assessing threats in setting conservation targets, identifying priority strategies, and determining their effectiveness. It includes an overview of the use of threat assessment in conservation planning by focusing on species-level and global-, regional- and local (site)-level priority setting. The synthesis also reviews two planning tools used in site conservation—conceptual models and The Nature Conservancy’s 5 “S” approach. The second part of the synthesis reviews the role of threat assessment in measuring management effectiveness with reference to monitoring approaches that fall into two broad categories: (1) the assessment of the status and impacts of threats, and (2) the measurement of ecological integrity of conservation targets. This section concludes with a comparison of threat monitoring methodologies focusing on two approaches: Threat Reduction Assessment and Rapid Assessment and Prioritization of Protected Area Management.

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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, and Titus Rice. Risk-based prioritization of operational condition assessments : Jennings Randolph case study. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43862.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of the likelihood that the asset will perform as expected given the current OCA ratings of critical components. This research demonstrates an application of a scalable methodology to model the probability of a dam performing as expected given the state of its subordinate gates and their components. The research team combines this likelihood with consequences generated by the application of designed simulation experiments with hydrological models to develop a measure of risk. The resulting risk scores serve as an input for an optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. Proof-of-concept results for an initial case study on the Jennings Randolph Dam are provided.

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Alt, Jonathan, Willie Brown, George Gallarno, and John Richards. Risk-based prioritization of operational condition assessments : stakeholder analysis and literature review. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40162.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages more than $232 billion worth of the Nation’s water resource infrastructure. Using the Operational Condition Assessment (OCA) system, the USACE allocates limited resources to assess conditions and maintain assets in efforts to minimize risks associated with asset performance degradation. Currently, OCAs are conducted on each component within a facility every 5 years, regardless of the component’s risk contribution. The analysis of risks associated with Flood Risk Management (FRM) facilities, such as dams, includes considering how the facility contributes to its associated FRM watershed system, understanding the consequences of degradation in the facility’s performance, and calculating the likelihood that the facility will perform as expected given the current OCA condition ratings of critical components. This research will develop a scalable methodology to model the probability of failure of components and systems that contribute to the performance of facilities in their respective FRM systems combined with consequences derived from hydrological models of the watershed to develop facility risk scores. This interim report documents the results of the first phase of this effort, stakeholder analysis and literature review, to identify candidate approaches to determine the probability of failure of a facility.

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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, Jennifer Olszewski, and Titus Rice. Risk-based prioritization of operational condition assessments : methodology and case study results. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46123.

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USACE operates, maintains, and manages more than $232 billion of the Nation’s water resource infrastructure. USACE uses the Operational Condition Assessment (OCA) to allocate limited resources to assess condition of this infrastructure in efforts to minimize risks associated with performance degradation. The analysis of risk associated with flood risk management (FRM) assets includes consideration of how each asset contributes to its associated FRM watershed system, understanding the consequences of the asset’s performance degradation, and a determination of the likelihood that the asset will perform as expected given the current OCA condition ratings of critical components. This research demonstrates a proof-of-concept application of a scalable methodology to model the probability of a dam performing as expected given the state of its gates and their components. The team combines this likelihood of degradation with consequences generated by the application of designed simulation experiments with hydrological models to develop a risk measure. The resulting risk scores serve as an input for a mixed-integer optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. This report documents the results of the application of this methodology to two case studies.

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Brown, Willie, John Richards, George Gallarno, Christopher Morey, Titus Rice, and Jennifer Olszewski. Risk-based prioritization of Operational Condition Assessments : Trinity River and Willamette River case studies. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48352.

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The US Army Corps of Engineers (USACE) operates, maintains, and man-ages over 700 dams and 4,000 miles of levees, providing approximately $257 billion worth of economic benefit to the Nation. USACE employs the Operational Condition Assessment (OCA) process to understand the condition of those assets and allocate resources to minimize risk associated with performance degradation. Understanding risk in flood risk management (FRM) assets requires an understanding of consequence of asset failure from a systemwide FRM watershed perspective and an understanding of likelihood of degradation based on the condition of the low-level components derived from OCA ratings. This research demonstrates a case-study application of a scalable methodology to model the likelihood of a dam performing as expected given the state of its gates and their components. The research team combines this likelihood of degradation with consequences generated by the application of designed simulation experiments with hydrological models to develop risk measures. These risk measures can be developed for all FRM gate assets in order to enable traceable, consistent resource allocation decisions. Two case study applications are provided.

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Solberg, Scott, David Hale, and Juan Benavides. Natural Disaster Management and the Road Network in Ecuador: Policy Issues and Recommendations. Inter-American Development Bank, 2003. http://dx.doi.org/10.18235/0011228.

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This study identifies the major structural problems and constraints that impair the performance of disaster management in the road network of Ecuador. The paper identifies two categories of problems: reconstruction and relief efforts are favored in a reactive manner and also the lack of planning and poor procurement practices increases the reconstruction and disruption costs of extreme natural events. The recommendations of this exploratory study include changes in governance of the national disaster management system in issues related to transportation and the strengthening of the Ministry of Public Works (MOP's) role and skills as sector leader in all the country. For the transportation sector itself, the proposals include strengthening planning of mitigation and prevention, creation of permanent disaster management units within MOP and provincial governments, prioritization of maintenance and rehabilitation efforts in the entire national road and the use of incentive contracts and incorporation of the communities to the recovery of tertiary and rural roads.

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Yang, David, Arash Khosravifar, Diane Moug, and Avinash Unnikrishnan. Framework and Methodology for Risk-Based Bridge and Tunnel Asset Management: Objective Risk Assessment and Network Level Evaluation. Portland State University, 2024. https://doi.org/10.15760/cee-reports.01.

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This report presents the results of the project on establishing a general framework and methodology for risk-based bridge and tunnel asset management. The research was carried out at Portland State University in collaboration with engineers and officials at Oregon Department of Transportation (ODOT) and Federal Highway Administration (FHWA). The primary goal of the research is to achieve risk-based transportation asset management based on (a) objective and consistent risk assessment and (b) effective prioritization and optimization of intervention strategies. Volume I of this report presents methods and findings in the base phase (Phase I) of the project, which is focused on the objective and consistent risk assessment suitable for network-level transportation asset management. Specifically, the following three tasks were conducted to fulfil the general goal of Phase I: (a) establish general methodology for objective risk assessment of deteriorating assets; (b) achieve objective agency risk assessment in transportation asset management systems; (c) develop effective and efficient approaches to network-level user risk assessment.

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