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Auswahl der wissenschaftlichen Literatur zum Thema „Prioritization factors“
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Zeitschriftenartikel zum Thema "Prioritization factors"
Ul Hassan, Shams. „Factors affect on Requirement Prioritization“. IOSR Journal of Engineering 02, Nr. 12 (Dezember 2012): 28–33. http://dx.doi.org/10.9790/3021-021222833.
Der volle Inhalt der QuelleChong, Alan Kim Wing, Abdul Hakim Mohammed, Mat Naim Abdullah und Mohd Shahril Abdul Rahman. „Maintenance prioritization – a review on factors and methods“. Journal of Facilities Management 17, Nr. 1 (04.02.2019): 18–39. http://dx.doi.org/10.1108/jfm-11-2017-0058.
Der volle Inhalt der QuelleSong, Bang-weon, Byeong-gyu Song und Seok-joong Kang. „Influential Factors on Prioritization of Weapon Systems“. Journal of the Korea Institute of Information and Communication Engineering 20, Nr. 8 (31.08.2016): 1607–14. http://dx.doi.org/10.6109/jkiice.2016.20.8.1607.
Der volle Inhalt der QuelleChung, Bryan, und Steven F. Morris. „Factors influencing prioritization for carpal tunnel syndrome consultation“. Canadian Journal of Plastic Surgery 21, Nr. 1 (März 2013): 33–36. http://dx.doi.org/10.1177/229255031302100111.
Der volle Inhalt der QuellePinho, Micaela, und Ana Pinto Borges. „A Scoring Index of Prioritization Factors Between Patients“. Health Care Manager 38, Nr. 3 (2019): 267–75. http://dx.doi.org/10.1097/hcm.0000000000000274.
Der volle Inhalt der QuelleDimzon, Mario S., Nicole You, Fernando Gonzalez, Ali Poosti und Adel H. Hagekhalil. „Developing Spill Risk Factors for Sewer Renewal Prioritization“. Proceedings of the Water Environment Federation 2012, Nr. 13 (01.01.2012): 3014–21. http://dx.doi.org/10.2175/193864712811727102.
Der volle Inhalt der QuelleColvin, Kurt, Ken Funk und Rolf Braune. „Task Prioritization Factors: Two Part-Task Simulator Studies“. International Journal of Aviation Psychology 15, Nr. 4 (Oktober 2005): 321–38. http://dx.doi.org/10.1207/s15327108ijap1504_2.
Der volle Inhalt der QuelleRaju, S., und G. V. Uma. „An Efficient Method to Achieve Effective Test Case Prioritization in Regression Testing using Prioritization Factors“. Asian Journal of Information Technology 11, Nr. 5 (01.05.2012): 169–80. http://dx.doi.org/10.3923/ajit.2012.169.180.
Der volle Inhalt der QuelleRoongruang, Siripong, und Jirapun Daengdej. „A Test Case Prioritization Method with Practical Weight Factors“. Journal of Software Engineering 4, Nr. 3 (15.06.2010): 193–214. http://dx.doi.org/10.3923/jse.2010.193.214.
Der volle Inhalt der QuelleSingh, Dinesh, und Aman Jatain. „An Interactive Approach to Requirements Prioritization Using Quality Factors“. International Journal in Foundations of Computer Science & Technology 3, Nr. 6 (30.11.2013): 25–40. http://dx.doi.org/10.5121/ijfcst.2013.3603.
Der volle Inhalt der QuelleDissertationen zum Thema "Prioritization factors"
Simonsson, Filip, Azucar Eduardo Cuadra und 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.
Der volle Inhalt der QuelleAalbers, Anouschka, und Linn Öberg. „Agil Kravprioritering : En kvalitativ studie om prioriteringsprocesser inom agil mjukvaruutveckling hos Monitor ERP System AB“. Thesis, Högskolan i Gävle, Datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-36402.
Der volle Inhalt der QuellePrioritizing requirements is one of the most important and influential steps in the creation of a software product. The process is iterative; it takes place during the entire agile software development. Through prioritizing requirements, it is decided which requirements are to be developed, in which order, and why. The aim of this study is to investigate how companies that design software prioritize requirements and to identify which prioritization methods they might use during this process. The purpose of this study is to gain an understanding for why a well-balanced prioritization is important, which specific prioritization factors give value to a product, as well as identifying how these factors are related to the result. The purpose is also to investigate the difficulties that exist in a prioritization process, and to create an overview of some of the most used prioritization methods in agile software development. This study is conducted in collaboration with the software company Monitor ERP in order to analyze the company's prioritization processes used to develop their business management system Monitor. The method used is a qualitative study that consists of observations of meetings about prioritization processes, and semi-structured interviews. Processing of collected material was done by organizing, analyzing, and compiling results according to concepts and categories that emerged from the literature study. The results documents work processes, common goals, prioritization aspects and challenges in the requirements prioritization at Monitor ERP. A well-balanced prioritization proved to be important to be able to deliver the right functionality on time and to be able to provide dependable estimates of development, which in turn leads to customers gaining confidence in both the product and the company. A number of prioritization factors that give value to the Monitor software were identified, many of which contribute to increasing customer satisfaction and product quality. Monitor ERP does not use any specific prioritization methods, but the development philosophy Minimum Viable Product is used as a basis for their prioritization choices. During the prioritization process, challenges such as limited resources, unpredictable tasks, difficulties with time estimation, and a challenge in balancing customer value and customer focus were experienced.
Li, Hoi-yee, und 李凱怡. „Identification of candidate genes for bone mineral density variation in Southern Chinese by integrating computational gene prioritization,linkage and association approaches“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45962200.
Der volle Inhalt der QuelleElliott, Chiquita. „The Prioritization of Student Mental Health in the School Setting: Secondary Administrators' and Educators' Knowledge of Adolescent Suicidal Risk Factors and Warning Signs“. VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3232.
Der volle Inhalt der QuelleAdolfsson, Elias, und Jesper Jansson. „Prioritering av mjuka faktorer vid fastighetsvärdering : en kvantitativ analys av Miljöbyggnads-certifierade fastigheter“. Thesis, KTH, Fastigheter och byggande, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297645.
Der volle Inhalt der QuelleThe climate crisis is today a major societal issue that affects sustainable development in the world and Sweden. Housing and services account for 40% of Sweden’s final total energy use.In recent times, it has become more common to certify buildings environmentally, where the certification Miljöbyggnad is the most common. In Sweden, the total market value of the property portfolio is approximately SEK 10,804 billion. A significant size if we were to compare with Sweden's GDP in 2017 of approximately SEK 4,600 billion. It has emerged from previous studies that environmentally certified buildings have a higher market value compared to conventional buildings. In other words, valuers have a great responsibility to appraise properties correctly where several previous studies have been done on the underlying hard factors such as rent level, vacancy, operating costs, risk premium, and their impact on market value. Furthermore, some studies indicate that soft factors such as indoor climate, the pursuit of reduced climate impact, health, aesthetics, social status, quality of building, brand and safety have an impact on the market value. What has not yet been investigated is how these factors are prioritized by the property valuers. This study aims to examine those soft values with an impact on the valuation of Miljöbyggnad certified properties and how property valuers prioritize these in a valuation. By first reviewing previous studies an understanding of the soft factors and their links to valuation was created. Subsequently the study consisted of a survey that was answered by property valuers from banks and various real estate and consulting companies. Where the valuers had to score the priority of the various soft factors. The survey results were then compared through average scores and correlation to get a general idea of the property valuers attitude and the similarities between the prioritization of the soft factors. The result of the survey shows that the average property appraiser prioritizes the soft factors as follows: 1) quality of building, 2) brand, 3) aesthetics, 4) safety, 5) the pursuit of reduced climate impact, 6) social status, 7) light quality, air quality and thermal quality (shared priority) and finally 8) health.
Saha, Dibakar. „Improved Criteria for Estimating Calibration Factors for Highway Safety Manual (HSM) Applications“. FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1701.
Der volle Inhalt der QuelleWidiputri, Diah Indriani. „Incorporating human factors into process plant lifecycle“. Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2011. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-74469.
Der volle Inhalt der QuelleSchwere Unfälle in der Prozessindustrie erfolgen meist aus einem Zusammenspiel mehrerer verschiedener Fehler und der gleichzeitigen Wechselwirkung mit falschem menschlichem Handeln. Dabei sind diese Fehlhandlungen nicht als Unfallursache anzusehen, sondern sie resultieren aus Fehlern, die in dem System selbst zu finden sind. Aus diesem Grund kann bei der Sicherheitsanalyse die technische Analyse nicht unabhängig von der Betrachtung des Human Factors (HF) durchgeführt werden. Um eine Reduzierung der Fehlhandlungen zu erreichen, müssen das Anlagendesign, die Bedienbarkeit und die Arbeitsumgebung an die menschlichen Fähigkeiten angepasst werden. Human Factors (HF) betrachtet die Interaktion zwischen menschlichen, technischen und organisatorischen Aspekten einer Anlage, mit dem Ziel die Sicherheit und Effektivität der Anlage zu optimieren. Dafür ist eine Einbindung von HF in den gesamten Lebenszyklus einer Anlage notwendig. So müssen HF- Analysen nicht nur während des Betriebs einer Anlage und bei Prozessmodifikationen durchgeführt werden, sondern auch während des gesamten Design- Prozesses, da gerade in den frühen Design-Phasen das Optimierungspotential besonders hoch ist. Eine solche Analysemethode muss alle Aufgaben eines Operators erfassen, so dass zwischen manueller Arbeit und der Arbeit in der Leitwarte unterschieden werden muss. In dieser Arbeit wurden Analysentechniken entwickelt, die einen systematischen Ansatz zur Berücksichtigung des HF über den gesamten Lebenszyklus einer verfahrenstechnischen Anlage darstellen. Mit Hilfe der neuen Analysemethode, PITOPA-Design, können Untersuchungen sowohl während der Designphase als auch während des Betriebs einer Anlage durchgeführt werden. Da solche HF-Analyse immer in Verbindung mit einer klassischen Sicherheitsanalyse erfolgen muss, bindet die neue Methode die HAZOP-Analyse direkt ein. Darüber hinaus wurde ein weiterer Ansatz für die Analyse von Operatorhandlungen in einer Messwartenarbeit entwickelt. Diese neue Analysentechnik, PITOPA-CR, bildet die Grundlage für Verbesserungen im Alarmsystem und wird in das Alarmmanagementsystem eingebunden. Die Arbeit ist wie folgt strukturiert: i) Entwicklung von HAZOPA (the Hazards and Operator Actions Analysis). Diese Methode stellt die Einbindung der HF-Analyse in HAZOP dar. ii) Entwicklung von PITOPA-Design, zur HF-Analyse während des gesamten Designprozesses einer verfahrenstechnischen Anlage. Die Methode wurde in 3 Teile eingeteilt, um die drei Designsphasen Conceptual-, Basic-, und Detail-Design zu erfassen. iii) Entwicklung von PITOPA-CR, zur HF-Analyse in der Messwarte. iv) Einbindung von PITOPA-CR in das Alarmmanagementsystem und Entwicklung einer Technik zur Alarmpriorisierung
Christiansson, Jonathan, Adam Jonsäll und Petersson Fredrik Toomväli. „Socialarbetares riskbedömningar för partnervåld : En analys av interbedömarreliabilitet“. Thesis, Örebro universitet, Institutionen för juridik, psykologi och socialt arbete, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-84429.
Der volle Inhalt der QuelleRisk assessments are an important element in preventing recidivism for intimate partner violence. This study aimed to investigate the inter-rater reliability of social workers' risk assessments for partner violence regarding the identification of risk, vulnerability and protective factors as well as case prioritization. The study was conducted by giving six social workers, both individually and jointly, the opportunity to assess risk-, vulnerability- and protective factors as well as prioritization of safety measures for six fictitious cases. The results showed that inter-rater reliability varied when comparing individual assessors depending on the factor that was to be identified and the priority to be attributed to the case. The same was true of the joint assessments. Risk factors were shown to have the highest inter-rater reliability and vulnerability factors to have the lowest inter-rater reliability averaged across all cases. The same was true when comparing joint assessments. Case prioritization showed varying inter-rater reliability with moderate agreement between individual assessors and somewhat lower agreement compared to a joint assessment, averaged across all cases. Further research is recommended in order to assist in the development and use of manuals in assessments of partner violence and in order to understand the need for support to its users.
Naumann, Roman. „Wireless Networking in Future Factories: Protocol Design and Evaluation Strategies“. Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21013.
Der volle Inhalt der QuelleAs smart factory trends gain momentum, there is a growing need for robust information transmission protocols that make available sensor information gathered by individual machines. Wireless transmission provides the required flexibility for industry adoption but poses challenges for timely and reliable information delivery in challenging industrial environments. This work focuses on to protocol design and evaluation aspects for industrial applications. We first introduce the industrial use case, identify requirements and derive concrete design principles that protocols should implement. We then propose mechanisms that implement these principles for different types of protocols, which retain compatibility with existing networks and hardware to varying degrees: we show that use-case tailored prioritization at the source is a powerful tool to implement robustness against challenged connectivity by conveying an accurate preview of information from the production process. We also derive precise bounds for the quality of that preview. Moving parts of the computational work into the network, we show that reordering queues in accordance with our prioritization scheme improves fairness among machines. We also demonstrate that network coding can benefit our use case by introducing specialized encoding and decoding mechanisms. Last, we propose a novel architecture and evaluation techniques that allows incorporating possibly proprietary networking protocol implementations with modern discrete event network simulators, rendering, among others, the adaption of protocols to specific industrial use cases more cost efficient. We demonstrate that our approach provides sufficient performance and improves the validity of evaluation results over the state of the art.
Raihan, Md Asif. „Improved Methods for Network Screening and Countermeasure Selection for Highway Improvements“. FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3846.
Der volle Inhalt der QuelleBücher zum Thema "Prioritization factors"
Colvin, Kurt W. Factors that affect task prioritization on the flight deck. 1999.
Den vollen Inhalt der Quelle findenR, Ricks Wendell, und Langley Research Center, Hrsg. Cognitive models of pilot categorization and prioritization of flight-deck information. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.
Den vollen Inhalt der Quelle findenWilson, Jennifer Rae. The effect of automation on the frequency of Task Prioritization errors on commercial aircraft flight decks: An ASRS incident report study. 1998.
Den vollen Inhalt der Quelle findenSørensen, Bjørn Bo, Christian Estmann, Enilde Francisco Sarmento und John Rand. Economic complexity and structural transformation: the case of Mozambique. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/898-6.
Der volle Inhalt der QuelleBellamy, Alex J. East Asia's Other Miracle. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198777939.001.0001.
Der volle Inhalt der QuelleHutson, Mike. Assessment and management. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199533909.003.0011.
Der volle Inhalt der QuelleBuchteile zum Thema "Prioritization factors"
Schwettmann, Lars. „Let’s Talk About Health Economic Evaluation: Relevant Contextual Factors for the German “Sonderweg”“. In Prioritization in Medicine, 273–81. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21112-1_19.
Der volle Inhalt der QuelleÇolak, Ali, Aylin Adem und Metin Dağdeviren. „Fuzzy Prioritization of Factors Affecting Employer Branding for Employees“. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 852–58. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_102.
Der volle Inhalt der QuelleKarasan, Ali, und Melike Erdogan. „Prioritization of Influence Factors for Selecting E–Learning Systems“. In Advances in Intelligent Systems and Computing, 550–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51156-2_63.
Der volle Inhalt der QuelleCamgoz-Akdag, Hatice, Aziz Kemal Konyalioglu und Tugce Beldek. „Prioritization of Factors of Breast Cancer Treatment Using Fuzzy AHP“. In Lecture Notes in Management and Industrial Engineering, 336–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42416-9_30.
Der volle Inhalt der QuelleAhmad, Sheikh Fahad, Deepak Kumar Singh und Preetam Suman. „Prioritization for Regression Testing Using Ant Colony Optimization Based on Test Factors“. In Advances in Intelligent Systems and Computing, 1353–60. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5903-2_142.
Der volle Inhalt der QuelleSari, I. U., S. Ugurlu und C. Kahraman. „Prioritization of Supply Chain Performance Measurement Factors by a Fuzzy Multi-criteria Approach“. In Springer Series in Advanced Manufacturing, 161–80. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5295-8_8.
Der volle Inhalt der QuelleSimão Filho, Marum, Plácido Rogério Pinheiro und Adriano Bessa Albuquerque. „Verbal Decision Analysis Applied to the Prioritization of Influencing Factors in Distributed Software Development“. In Developments and Advances in Intelligent Systems and Applications, 49–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58965-7_4.
Der volle Inhalt der QuelleMizrahi, Rozi, Berna Tektaş Aygülen und Kayahan Karakul. „Fuzzy AHP Based Prioritization and Taxonomy of Information Quality Factors in Accounting Information Systems“. In Advances in Intelligent Systems and Computing, 1407–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51156-2_163.
Der volle Inhalt der QuelleRen, Jingzheng. „Two-Stage Interval Best-Worst Method for Weighting: Prioritization of Influential Factors of Airport Competitiveness“. In Advanced Operations Management for Complex Systems Analysis, 7–31. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45418-0_2.
Der volle Inhalt der QuelleThöni, Andreas. „Sustainable Supply Chain Management: Improved Prioritization of Auditing Social Factors, Leveraging Up-to-Date Information Technology“. In Lecture Notes in Computer Science, 32–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41033-8_5.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Prioritization factors"
Marjaie, Seyed Ali, und Vasundhara Kulkarni. „Recognition of Hidden Factors in Requirements Prioritization Using Factor Analysis“. In 2010 International Conference on Computational Intelligence and Software Engineering (CiSE). IEEE, 2010. http://dx.doi.org/10.1109/cise.2010.5676794.
Der volle Inhalt der QuelleWang, Lu, Ming Dong, Elizabeth Towner und Dongxiao Zhu. „Prioritization of Multi-Level Risk Factors for Obesity“. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8982940.
Der volle Inhalt der QuelleAlasad, Rajaa, Ibrahim Motawa, Stephen Ogunlana und Prince Boateng. „Prioritization of Demand Risk Factors in PPP Infrastructure Projects“. In Construction Research Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413517.139.
Der volle Inhalt der QuelleMahmood, Md Hasan, und Md Shazzad Hosain. „Improving test case prioritization based on practical priority factors“. In 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2017. http://dx.doi.org/10.1109/icsess.2017.8343055.
Der volle Inhalt der QuellePark, Sujin, Huichang Yang, Gyunyoung Heo und Muhammad Zubair. „Prioritization of Underlying Precursors in Nuclear Accidents“. In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30632.
Der volle Inhalt der QuelleStrandberg, Per Erik, Daniel Sundmark, Wasif Afzal, Thomas J. Ostrand und Elaine J. Weyuker. „Experience Report: Automated System Level Regression Test Prioritization Using Multiple Factors“. In 2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE). IEEE, 2016. http://dx.doi.org/10.1109/issre.2016.23.
Der volle Inhalt der QuelleMuthusamy, Thillaikarasi, und Seetharaman K. „Measuring the Effectiveness of Test Case Prioritization Techniques Based on Weight Factors“. In International Conference on Computer Science & Engineering. Academy & Industry Research Collaboration Center (AIRCC), 2014. http://dx.doi.org/10.5121/csit.2014.41005.
Der volle Inhalt der QuelleBinti Sohimi, Mazni, und Wan Faezah Binti Abbas. „The prioritization factors of Enterprise Application Integration (EAI) adoption in Malaysian e-Government“. In 2011 International Conference on Research and Innovation in Information Systems (ICRIIS). IEEE, 2011. http://dx.doi.org/10.1109/icriis.2011.6125710.
Der volle Inhalt der QuelleHoseini, Mirza Hassan, und Maryam Mahyar. „The identification and prioritization of the affecting factors on electronic stores' sales in Iran“. In 2013 7th International Conference on e-Commerce in Developing Countries: With Focus on e-Security. IEEE, 2013. http://dx.doi.org/10.1109/ecdc.2013.6556726.
Der volle Inhalt der Quelle„Prioritization assessment of housing development risk factors: a fuzzy analytic hierarchical process-based approach“. In WABER 2019 Conference. WABER Conference, 2019. http://dx.doi.org/10.33796/waberconference2019.60.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Prioritization factors"
Hubbard, Sarah M., und Bryan Hubbard. Investigation of Strategic Deployment Opportunities for Unmanned Aerial Systems (UAS) at INDOT. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317126.
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