Academic literature on the topic 'Mean productivity'
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Journal articles on the topic "Mean productivity"
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Schmitt, Günther H. "What do Agricultural Income and Productivity Measurements Really Mean?" Agricultural Economics 2, no. 2 (1988): 139–57. http://dx.doi.org/10.1111/j.1574-0862.1988.tb00044.x.
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Mueller, Steffen. "Works Councils and Labour Productivity: Looking beyond the Mean." British Journal of Industrial Relations 53, no. 2 (2013): 308–25. http://dx.doi.org/10.1111/bjir.12037.
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Siegel, Donald. "Symposium on Harrison's ?Lean and Mean?: A productivity perspective." Small Business Economics 7, no. 5 (1995): 349–51. http://dx.doi.org/10.1007/bf01302734.
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Schmitt, G. "What do agricultural income and productivity measurements really mean?" Agricultural Economics 2, no. 2 (1988): 139–57. http://dx.doi.org/10.1016/0169-5150(88)90013-8.
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Charles, Grace K., Lauren M. Porensky, Corinna Riginos, Kari E. Veblen, and Truman P. Young. "Herbivore effects on productivity vary by guild: cattle increase mean productivity while wildlife reduce variability." Ecological Applications 27, no. 1 (2017): 143–55. http://dx.doi.org/10.1002/eap.1422.
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HU, Liangjun, and Qinfeng GUO. "What Does Productivity Really Mean? Towards an Integrative Paradigm in the Search for Biodiversity-Productivity Relationships." Notulae Botanicae Horti Agrobotanici Cluj-Napoca 41, no. 1 (2013): 36. http://dx.doi.org/10.15835/nbha4118948.
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How species diversity relates to productivity remains a major debate. To date, however, the underlying mechanisms that regulate the ecological processes involved are still poorly understood. Three major issues persist in early efforts at resolution. First, in the context that productivity drives species diversity, how the pathways operate is poorly-explained. Second, productivity  per se varies with community or ecosystem maturity. If diversity indeed drives productivity, the criterion of choosing appropriate measures for productivity is not available. Third, spatial scaling suggests that sampling based on small-plots may not be suitable for formulating species richness-productivity relationships (SRPRs). Thus, the long-standing assumption simply linking diversity with productivity and pursuing a generalizing pattern may not be robust. We argue that productivity, though defined as ‘the rate of biomass production’, has been measured in two ways environmental surrogates and biomass production leading to misinterpretations and difficulty in the pursuit of generalizable SRPRs. To tackle these issues, we developed an integrative theoretical paradigm encompassing richer biological and physical contexts and clearly reconciling the major processes of the systems, using proper productivity measures and sampling units. We conclude that loose interpretation and confounding measures of productivity may be the real root of current SRPR inconsistencies and debate.
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Khalid Said Ali AL Zawamri. "The Impact of Total Quality Management on Productivity in Oil and Gas Manufacturing Industries: A Case Study from SME of Oman." Journal of Information Systems Engineering and Management 10, no. 3 (2025): 388–406. https://doi.org/10.52783/jisem.v10i3.4934.
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This study explores the relationship between Total Quality Management (TQM) practices and productivity in Omani SMEs within the oil and gas manufacturing sector. Using a five-point Likert scale, the research examines TQM dimensions such as top management support, customer focus, employee motivation, and continuous improvement, and their impact on productivity, human capital investment, product quality, and production size. Results show a strong link between TQM practices and productivity, with top management support having the most significant impact (mean = 4.28, SD = 0.82). Other dimensions, including customer focus (mean = 4.08, SD = 0.86), employee motivation (mean = 3.96, SD = 0.96), and continuous improvement (mean = 4.09, SD = 0.88), also scored highly. Human capital investment (mean = 4.02, SD = 0.96) and its impact on productivity (mean = 4.11, SD = 1.00) were strongly correlated with productivity. Key productivity drivers were identified as product quality (mean = 4.23, SD = 0.85) and production size (mean = 4.26, SD = 0.84). Regression analysis revealed a strong positive relationship between TQM practices and productivity, with an R square value of 0.696, indicating that TQM accounts for nearly 70% of productivity variation. ANOVA confirmed the robustness of the model. While the sector shows high TQM implementation and productivity, improvements are needed in employee involvement and customer feedback collection, offering valuable insights for SMEs in Oman.
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Liang, Lingfeng, Xiancun Hu, Linda Tivendale, and Chunlu Liu. "The log mean divisia index based carbon productivity in the Australian construction industry." Construction Economics and Building 17, no. 3 (2017): 68–84. http://dx.doi.org/10.5130/ajceb.v17i3.5544.
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Environmental protection and economic growth are two indicators of sustainable global development. This study aims to investigate the performance of environmental protection and economic growth by measuring carbon productivity in the construction field. Carbon productivity is the amount of gross domestic product generated by the unit of carbon emissions. The log mean Divisia index method is used to investigate influential factors including carbon intensity, energy intensity and regional adjustment that impact on changes of carbon productivity. The study utilises a range of data from the Australian construction industry during 1995-2004 including energy consumption, industry value added and carbon dioxide equivalent consumption. The research indicates carbon productivity in the Australian construction industry has clearly increased. Energy intensity plays a significant positive role in promoting carbon productivity, whereas carbon intensity and regional adjustment have limited influence. Introducing advanced construction machinery and equipment is a feasible pathway to enhance carbon productivity. The research method is generic and can be used to measure other performance indicators and decomposing them into influential factors.
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Dias, Daniel A., and Carlos Robalo Marques. "From Micro to Macro: A Note on the Analysis of Aggregate Productivity Dynamics Using Firm-Level Data." International Finance Discussion Paper 2021, no. 1314 (2021): 1–36. http://dx.doi.org/10.17016/ifdp.2021.1314.
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In the empirical literature, the analysis of aggregate productivity dynamics using firm-level productivity has mostly been based on changes in the mean of log-productivity. This paper shows that there can be substantial quantitative and qualitative differences in the results relative to when the analysis is based on changes in the mean of productivity, and discusses the circumstances under which such differences are likely to happen. We use firm-level data for Portugal for the period 2006-2015 to illustrate the point. When the mean of productivity is used, we estimate that TFP and labor productivity for the whole economy increased by 17.7 percent and 5.2 percent, respectively, over this period. But, when the mean of log-productivity is used, we estimate that these two productivity measures declined by 4.3 percent and 1.8 percent, respectively. Similarly disparate results are obtained for productivity decompositions regarding the contributions for productivity growth of surviving, entering and exiting firms.
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Hamberger, Jonathan. "Individual Contracts What Do They Mean for Australia?" Economic and Labour Relations Review 6, no. 2 (1995): 288–99. http://dx.doi.org/10.1177/103530469500600207.
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Collective bargaining can be of benefit to both employees and employers. Nevertheless, there is growing interest in individual contracts, as part of a broader agenda for labour market flexibility. In particular, individual contracts are being pursued by some companies as part of a human resource management strategy to increase productivity by reducing the role of third parties and promoting ‘common purpose’ between the firm and its employees. There is some evidence that individual contracts can indeed contribute to higher productivity. The challenge for policy makers is to provide sufficient flexibility in the area of individual contracts while preventing employers from using them to reduce wages and conditions.
Dissertations / Theses on the topic "Mean productivity"
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Knight, Susan M. "Irrigation Projects Could Mean Increased productivity." College of Agriculture, University of Arizona (Tucson, AZ), 1990. http://hdl.handle.net/10150/295685.
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Diallo, Ibrahima Amadou. "Exchange rates policy and productivity." Thesis, Clermont-Ferrand 1, 2013. http://www.theses.fr/2013CLF10405/document.
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Cette thèse étudie comment le taux de change effectif réel (TCER) et ses mesures associées (volatilité du TCER et désalignement du TCER) affectent la croissance de la productivité totale des facteurs (CPTF). Elle analyse également les canaux par lesquels le TCER et ses mesures associées agissent sur la productivité totale des facteurs (PTF). La première partie étudie comment le TCER lui-Même, d'une part, et la volatilité du TCER, d'autre part, influencent la productivité. Une analyse du lien entre le niveau du TCER et la PTF dans le chapitre 1 indique qu'une appréciation de taux de change cause une augmentation de la PTF. Mais cet impact est également non- inéaire: en-Dessous du seuil, le TCER influence négativement la productivité tandis qu'au-Dessus du seuil il agit positivement. Les résultats du chapitre 2 illustrent que la volatilité du TCER affecte négativement la CPTF. Nous avons également constaté que la volatilité du TCER agit sur PTF selon le niveau du développement financier. Pour les pays modérément financièrement développés, la volatilité du TCER réagit négativement sur la productivité et n'a aucun effet sur la productivité pour les niveaux très bas et très élevés du développement financier. La deuxième partie examine les canaux par lesquels le TCER et ses mesures associées influencent la productivité. Les résultats du chapitre 3 illustrent que la volatilité du TCER a un impact négatif élevé sur l'investissement. Ces résultats sont robustes dans les pays à faible revenu et les pays à revenu moyens, et en employant une mesure alternative de volatilité du TCER. Le chapitre 4 montre que le désalignement du taux de change réel et la volatilité du taux de change réel affectent négativement les exportations. Il démontre également que la volatilité du taux de change réel est plus nocive aux exportations que le désalignement. Ces résultats sont corroborés par des résultats sur des sous-Échantillons de pays à bas revenu et à revenu moyen<br>This dissertation investigates how the real effective exchange rate (REER) and its associated asurements (REER volatility and REER misalignment) affect total factor productivity growth (TFPG). It also analyzes the channels through which the REER and its associated measurements act on total factor productivity (TFP). The first part studies how the REER itself, on the one hand, and the REER volatility, on the other hand, influence productivity. An analysis of the link between the level of REER and TFP in chapter 1 reveals that an exchange rate appreciation causes an increase of TFP. But this impact is also nonlinear: below the threshold, real exchange rate influences negatively productivity while above the threshold it acts positively. The results of chapter 2 illustrate that REER volatility affects negatively TFPG. We also found that REER volatility acts on TFP according to the level of financial development. For moderately financially developed countries, REER volatility reacts negatively on productivity and has no effect on productivity for very low and very high levels of financial development. The second part examines the channels through which the REER and its associated measurements influence productivity. The results of chapter 3 illustrate that the exchange rate volatility has a strong negative impact on investment. This outcome is robust in low income and middle income countries, and by using an alternative measurement of exchange rate volatility. Chapter 4 show that both real exchange rate misalignment and real exchange rate volatility affect negatively exports. It also demonstrates that real exchange rate volatility is more harmful to exports than misalignment. These outcomes are corroborated by estimations on subsamples of Low- ncome and Middle-Income countries
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Dagfalk, Johanna, and Ellen Kyhle. "Listening in on Productivity : Applying the Four Key Metrics to measure productivity in a software development company." Thesis, Uppsala universitet, Avdelningen för datalogi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-440147.
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Software development is an area in which companies not only need to keep up with the latest technology, but they additionally need to continuously increase their productivity to stay competitive in the industry. One company currently facing these challenges is Storytel - one of the strongest players on the Swedish audiobook market - with about a fourth of all employees involved with software development, and a rapidly growing workforce. With the purpose of understanding how the Storytel Tech Department is performing, this thesis maps Storytel’s productivity defined through the Four Key Metrics - Deployment Frequency, Delivery Lead Time, Mean Time To Restore and Change Fail Rate. A classification is made into which performance category (Low, Medium, High, Elite) the Storytel Tech Department belongs to through a deep-dive into the raw system data existing at Storytel, mainly focusing on the case management system Jira. A survey of the Tech Department was conducted, to give insights into the connection between human and technical factors influencing productivity (categorized into Culture, Environment, and Process) and estimated productivity. Along with these data collections, interviews with Storytel employees were performed to gather further knowledge about the Tech Department, and to understand potential bottlenecks and obstacles. All Four Key Metrics could be determined based on raw system data, except the metric Mean Time To Restore which was complemented by survey estimates. The generalized findings of the Four Key Metrics conclude that Storytel can be minimally classified as a ‘medium’ performer. The factors, validated through factor analysis, found to have an impact on the Four Key Metrics were Generative Culture, Efficiency (Automation and Shared Responsibility) and Number of Projects. Lastly, the major bottlenecks found were related to Architecture, Automation, Time Fragmentation and Communication. The thesis contributes with interesting findings from an expanding, middle-sized, healthy company in the audiobook streaming industry - but the results can be beneficial for other software development companies to learn from as well. Performing a similar study with a greater sample size, and additionally enabling comparisons between teams, is suggested for future research.
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Diallo, Ibrahima Amadou. "EXCHANGE RATE POLICY AND PRODUCTIVITY." Phd thesis, Université d'Auvergne - Clermont-Ferrand I, 2013. http://tel.archives-ouvertes.fr/tel-00997038.
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Cette thèse étudie comment le taux de change effectif réel (TCER) et ses mesures associées (volatilité du TCER et désalignement du TCER) affectent la croissance de la productivité totale des facteurs (CPTF). Elle analyse également les canaux par lesquels le TCER et ses mesures associées agissent sur la productivité totale des facteurs (PTF). La première partie étudie comment le TCER lui-même, d'une part, et la volatilité du TCER, d'autre part, influencent la productivité. Une analyse du lien entre le niveau du TCER et la PTF dans le chapitre 1 indique qu'une appréciation de taux de change cause une augmentation de la PTF. Mais cet impact est également non-linéaire: en-dessous du seuil, le TCER influence négativement la productivité tandis qu'au-dessus du seuil il agit positivement. Les résultats du chapitre 2 illustrent que la volatilité du TCER affecte négativement la CPTF. Nous avons également constaté que la volatilité du TCER agit sur PTF selon le niveau du développement financier. Pour les pays modérément financièrement développés, la volatilité du TCER réagit négativement sur la productivité et n'a aucun effet sur la productivité pour les niveaux très bas et très élevés du développement financier. La deuxième partie examine les canaux par lesquels le TCER et ses mesures associées influencent la productivité. Les résultats du chapitre 3 illustrent que la volatilité du TCER a un impact négatif élevé sur l'investissement. Ces résultats sont robustes dans les pays à faible revenu et les pays à revenu moyens, et en employant une mesure alternative de volatilité du TCER. Le chapitre 4 montre que le désalignement du taux de change réel et la volatilité du taux de change réel affectent négativement les exportations. Il démontre également que la volatilité du taux de change réel est plus nocive aux exportations que le désalignement. Ces résultats sont corroborés par des résultats sur des sous-échantillons de pays à bas revenu et à revenu moyen.
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SOUZA, Dennis Marinho Oliveira Ramalho de. "Concordância de testes de comparação de médias na avaliação volumétricas de clones de Eucalyptus spp. no Pólo Gesseiro do Araripe-PE." Universidade Federal Rural de Pernambuco, 2011. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4879.
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Previous issue date: 2011-02-16<br>When choosing the ideal test to perform the comparison of the experimental treatments means, there is no standard way or a manual or a solution to define the optimal test. The authors of each test set only a few theoretical restrictions or small details, but none of them determines to which experiment the test should be applied. As there is a need to establish which tests are best indicated and illustrate with an application it was used in this paper a design located in the region of the Gypsum Pole of the Araripe-PE with 15 clones of Eucalyptus spp. that were measured every six months over seven years, from 2002 to 2009,. In this paper, the tests used were the most widespread in the literature and applied the original methodologies in order to analyze the similarities among the tests at the levels of 1% and 5% of probabilities, and establish which clones presented mean of productions more significant. According to the results presented it was concluded that the tests of Tukey and Conagin are the most recommended and clones C41, C11 and C39 were the most productivies for biomass production in the region of Gypsum Plaster Pole of Araripe-PE.<br>Na escolha do teste ideal para realização da comparação das médias dos tratamentos no delineamento experimental, não existe uma maneira padrão ou manual ou uma solução que defina o teste ótimo. Os autores de cada teste estabelecem apenas algumas restrições teóricas ou pequenos detalhes, mas nenhum deles determina a que experimento o seu teste é indicado, dificultando assim para o experimentador conhecer o teste que deveria adotar. Como existe a necessidade de estabelecer quais testes são os mais indicados e ilustrar uma aplicação utilizou-se neste trabalho um delineamento localizado na região do Pólo Gesseiro do Araripe, com 15 clones de Eucalyptus spp. que foram mensurados a cada seis meses durante sete anos, no período 2002 a 2009,. Neste trabalho os testes utilizados foram os mais difundidos na literatura sendo aplicadas as suas metodologias originais com a finalidade de analisar as semelhanças entre cada teste nos níveis de significância 1% e 5%, bem como estabelecer nesse delineamento qual(is) clone(s) possui(em) a(s) média(s) de produção mais significativas. De acordo com os resultados apresentados se conclui que o teste de Tukey e Conagin são os mais recomendados e os clones C41, C11 e C39 são os mais indicados para produção de biomassa na região do Pólo Gesseiro do Araripe, Pernambuco.
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Gonzalez, Eduard. "Construction worker motivation : the means to improving worker productivity." Thesis, Springfield, Virginia: Available from National Technical Information Service, 1991. http://hdl.handle.net/10945/28067.
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GHANNOUCHI, WALID. "Banking productivity and economic growth in emerging countries." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2010. http://hdl.handle.net/2108/1311.
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La tesi mira innanzitutto a verificare l’esistenza delle differenze tecnologiche tra i sistemi bancari islamici e quelli convenzionali nelle regioni MENA e SEA, e in secondo luogo ad investigare l’impatto della produttività bancaria sulla crescita economica nella regione MENA. Questa tesi è stata strutturata con lo scopo di rispondere ai seguenti quesiti di ricerca:
1. Le banche islamiche sono più efficienti sotto il profilo dei costi rispetto alle loro controparti convenzionali?
2. Esistono differenze nella tecnologia (o nelle tecnologie impiegate) tra le banche islamiche e le banche convenzionali?
3. Quale impatto ha l’efficienza bancaria dei costi sulla crescita economica della regione MENA? E la crescita influenza a sua volta l’efficienza stessa?
Abbiamo iniziato con una panoramica del sistema bancario islamico, le radici della finanza islamica e le sue fondamenta. Poi abbiamo condotto un’analisi empirica con lo scopo di rispondere al primo e al secondo quesito della ricerca. I nostri risultati suggeriscono che le banche islamiche sono leggermente meno efficienti dal lato dei costi rispetto alle loro omologhe banche convenzionali. Interessante notare che le differenze evidenziate in termini tecnologici tra le due industrie bancarie sono state piccolissime. È emerso il fatto che le banche islamiche non sono sufficientemente coinvolte negli schemi di condivisione dei profitti e perdite ma tendono a replicare i prodotti delle banche convenzionali attraverso una “islamizzazione” degli stessi.
La nostra seconda analisi empirica nel quarto capitolo ci ha consentito di rispondere al terzo quesito della ricerca. Il nostro scopo in questa analisi era quello di rintracciare il nesso tra l’efficienza bancaria (dei costi) e la crescita. Con i nostri risultati abbiamo potuto evidenziare che le banche, nei paesi scelti nella regione MENA mostrano elevati livelli di efficienza dei costi. Abbiamo trovato un significativo e positivo nesso di causalità e una relazione inversa tra il maggior grado di sviluppo dei mercati finanziari e la produttività delle banche. Infine possiamo suggerire che bisognerebbe concentrare gli sforzi sull’efficienza negli investimenti e nell’incrementare la regolamentazione per spronare un sistema finanziario stabile e favorire un maggior grado di sviluppo del sistema finanziario nel futuro, visto che questo potrà permettere un ciclo virtuoso tra sviluppo finanziario e la produttività delle banche.<br>This thesis investigates, through three essays, the cost efficiency of the banking system in the Middle East and North Africa, and the South East Asia regions. Firstly, it provides empirical evidence on the technology gap between Islamic and conventional banking in both regions, and then investigates the nexus between cost efficiency and economic growth in the Middle East and North Africa region specifically.
The first chapter provides a theoretical framework for Islamic finance and banking beforehand and aims to explain the foundations of Islamic finance along with an overview of the two banking models in practice. We underline the importance of the profit and loss sharing schemes as a cornerstone for Islamic finance contribution to social welfare.
The second chapter offers an empirical study to investigate the existence of a technology gap between Islamic and conventional banking (due to Quranic law compliance) resulting in different cost efficiency levels. By focusing on twelve emerging countries from the Middle East and North Africa, and the South East Asia regions, between 2000 and 2006. We apply a Metafrontier approach finding that, on average, both types of bank display similar mean cost efficiency and technology levels. At the country level, we find substantial cost efficiency differences, but these are not due to the technology gap.
The third chapter examines the nexus between cost efficiency and economic growth in the Middle East and North Africa region. We apply a causality analysis between cost efficiency and financial deepening using the Generalized Methods of Moments and our findings show a significant and positive causality and reverse relationship between financial deepening and banking productivity. We introduce a set of control variables associated with the long run growth and find an interesting interaction with banking productivity and financial deepening suggesting that efforts should be focusing on the investments’ efficiency and the increase of regulation to spur a more stable financial system and foster financial deepening in the future.
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Carolissen, Sanchez. "An investigation into increased productivity of small scale anaerobic digesters by means of temperature management." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/27866.
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The use of biological waste as a primary energy source for the production of biogas, by the process of anaerobic digestion, has been commonly used in the past by small communities and on a larger scale by waste water treatment plants. In the latter, the biogas is traditionally used for heating of the digesters in order to increase process performance. Smaller scale anaerobic digesters using food waste as a primary energy source for biogas production could be implemented for residences and restaurants. The biogas produced could be used for cooking and heating purposes. Whilst common designs for such smaller digesters do not provide for heating, there may be warm waste water on site to elevate the operating temperature and thus improve gas yield. This dissertation reports an experiment aimed at improving the performance of an existing anaerobic digester located at the Leo Marquard Hall (LMH) residence of the University of Cape Town. The 6 m³ digester has been operated using food waste as its sole substrate. The volume of gas produced is unknown as there are no gas measurement devices on site. In the past it has been roughly estimated from pressure readings before and after gas use. The digester operates at ambient temperature which averages 16 °C over the year, which is suboptimal. The anaerobic digester is not equipped with a temperature measurement device to monitor operating temperature. Two hypotheses were formulated and tested. The first stated that the temperature profile of the waste water leaving the LMH residence will have peaks in the morning and evening periods when the majority of students shower. The peak temperature periods will be in the morning before breakfast and in the evening after dinner. The temperature during these times is expected to be above 30 °C. In order to test the first hypothesis, a thermocouple with temperature data logger was installed to record the temperature of waste water in the manhole drain leaving the LMH residence. The temperature data recordings confirmed the temperature peak of waste water leaving LMH residence at an average temperature of 30.5 °C in the morning. However, a clear evening temperature peak was not identified. Thus the hypothesis was only true for the morning temperature peak of waste water leaving LMH residence for weekdays when lectures take place. The second hypothesis stated that, adding a portion of the 30 °C waste water into the LMH anaerobic digester will result in the digester running at 5 °C above the normal average operating temperature, and thus increase the productivity of the anaerobic digester. In order to test the second hypothesis the design and installation of a pumped pipe system was completed in order to pump waste water from the LMH residence waste water outlet manhole gravity sewer to the LMH anaerobic digester. By loading the LMH anaerobic digester with 600 ℓ of warm waste water, the maximum digester temperature increase obtained was 5 °C relative to the normal cold water operation. The maximum increases in total weekly biogas and methane production achieved were 238 % and 260 % respectively, relative to the average weekly cold water operation. The operating temperature of small scale anaerobic digesters is a very important factor for the performance of the anaerobic digester. This research shows that increasing the operating temperature of a small scale anaerobic digester by as little as 5 °C could double the performance of the anaerobic digester. The site location for the installation of small scale anaerobic digesters should be investigated at design stage by taking into consideration the operating temperature. The digester could be installed in close proximity to both an organic waste stream and warm waste water stream that could affect the feasibility of a particular project installation.
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Mokgope, Precious Kgomotso. "Effect of dietry carrot meal supplementation on productivity and carcass characteristics of arbor acre broiler chickens." Thesis, University of Limpopo, Turfloop Campus, 2014. http://hdl.handle.net/10386/1103.
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Thesis (MA. Agric. (Animal Production)) -- University of Limpopo, 2014<br>This study determined the effect of carrot meal supplementation on productivity and carcass characteristics of Arbor acres broiler chickens aged one to six weeks. Experiment I determined the effect of carrot meal supplementation on productivity of Arbor acre broiler chicks aged one to 21 days. Two hundred unsexed Arbor acre broiler chickens were randomly assigned to five treatments with five replicates, each replicate having ten birds. A completely randomized design was used in the first experiment. The treatments were 0 (UA0), 20 (AU20), 50 (AU50), 75 (AU75) or 100 (AU100) g of carrot meal supplementation per kg DM feed. Quadratic equations were used to determine levels of carrot meal supplementation for optimal feed intake, metabolisable energy intake and nitrogen retention of Arbor acre broiler chickens aged one to 21 days. Linear equations were used to determine relationships between carrot meal supplementation and productivity variables. Dietary carrot meal supplementation had no (P>0.05) effect on growth rate, live weight and feed conversion ratio of unsexed Arbor acre broiler chickens aged one to 21 days. Carrot meal supplementation, however, improved (P<0.05) metabolisable energy intake and nitrogen retention of the chickens. Dietary metabolisable energy intake and nitrogen retention of the chickens were optimized at different carrot meal supplementation levels of 40.5 and 53.57 g/kg DM feed, respectively. No chicken deaths were recorded.
Experiment II determined the effect of carrot meal supplementation on productivity and carcass characteristics of female Arbor acre broiler chickens aged 22 to 42 days. The chickens were randomly allocated to five treatments with five replicates, each having 10 birds, in a completely randomized design. The supplementation levels were 0 (FA0), 20 (FA20), 50 (FA50), 75 (FA75), or 100 (FA100) g of carrot meal per kg DM feed. Quadratic equations were used to determine levels of carrot meal supplementation for optimal feed intake, feed conversion ratio, live weight, metabolisable energy intake and nitrogen retention of broiler chickens aged 22 to 42 days. Linear equations were used to determine relationships between carrot meal supplementation and production variables. Dietary carrot meal supplementation had no (P>0.05) effect on growth rate, live weight and carcass parts of female Arbor acre broiler chickens aged 22 to 42 days. Carrot meal supplementation improved (P<0.05) feed intake, feed conversion ratio, metabolisable energy intake and nitrogen retention of Arbor acre broiler chickens aged
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22 to 42 days. Dietary feed intake, feed conversion ratio, live weight, metabolisable energy intake and nitrogen retention were optimized at different dietary carrot meal supplementation levels of 52.8, 63.8, 38.0, 42.0 and 44.3 g/kg DM feed, respectively. Dietary carrot meal supplementation had no effect (P>0.05) on tenderness and flavour of female Arbor acre broiler meat. Broiler chickens on diets supplemented with 20, 50 or 100 g of carrot meal per kg DM feed produced meat with better (P<0.05) juiciness values than those of meat from chickens not supplemented with dietary carrot meal and those supplemented with 75 g/kg DM feed. There was a positive relationship between carrot meal supplementation and chicken meat juiciness.
It is concluded that carrot meal supplementation improved (P<0.05) metabolisable energy intake and nitrogen retention of unsexed Arbor acre broiler chickens aged one to 21 days. However, carrot meal supplementation had no effect (P>0.05) on growth rate, live weight and feed conversion ratio of unsexed Arbor acre broiler chickens aged one to 21 days. Carrot meal supplementation improved (P<0.05) intake, feed conversion ratio, metabolisable energy and nitrogen retention of female Arbor acre broiler chickens aged 22 to 42 days. However, carrot meal supplementation did not (P>0.05) improve growth rate and live weights of the chickens.
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Molepo, Lephai Sarah. "Effect of moringa seed meal supplementation on productivity and carcass characteristics of ross 308 broiler chickens." Thesis, University of Limpopo, Turfloop Campus, 2014. http://hdl.handle.net/10386/1340.
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Thesis (MSc. Agriculture (Animal Production)) -- University of Limpopo, 2014<br>Two experiments were conducted to determine the effect of moringa seed meal supplementation on productivity and carcass characteristics of Ross 308 broiler chickens. The first experiment determined the effect of moringa seed meal supplementation on productivity of Ross 308 broiler chickens aged one to 21 days. Two hundred and fifty unsexed day-old Ross 308 broiler chicks were randomly allocated to five dietary treatments, replicated five times, and each replication having 10 chickens. A completely randomized design was used. The chickens were fed on a grower diet supplemented with 0 (M0), 5 (M5), 10 (M10), 15 (M15) and 20 (M20) g of moringa seed meal/bird/day. Moringa seed meal supplementation had no effect (P>0.05) on feed intake, metabolisable energy intake, nitrogen retention, feed conversion ratio and live weight of unsexed Ross 308 broiler chickens. Moringa seed meal supplementation improved (P<0.05) growth rates of unsexed Ross 308 broiler chickens aged one to 21 days. A moringa seed meal supplementation level of 13.3 g/kg DM feed optimized growth rate of Ross 308 broiler chickens aged one to 21 days.
The second experiment determined the effect of moringa seed meal supplementation on productivity and carcass characteristics of female Ross 308 broiler chickens aged 22 to 42 days. The chickens weighing 558 ± 10 g/bird were randomly allocated to five treatments with five replications having 10 birds. The chickens, aged 21 days, were allocated to the treatments in a completely randomized design. The chickens were fed on a grower diet supplemented with 0 (FM0), 5 (FM5), 10 (FM10), 15 (FM15) and 20 (FM20) g of moringa seed meal per kg DM. Moringa seed meal supplementation had no effect (P>0.05) on feed intake, growth rate, feed conversion ratio, live weight, metabolisable energy intake, carcass weight, breast meat weight, abdominal fat pad weight, liver weight, heart weight, thigh weight, meat flavour, juiciness and tenderness of female Ross 308 broiler chickens. However, moringa seed meal supplementation improved (P<0.05) nitrogen retention and gizzard weights of female Ross 308 broiler chickens.
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It was concluded that moringa seed meal supplementation improved growth rate of unsexed Ross 308 broiler chickens aged one to 21 days. Similarly, moringa seed meal supplementation increased nitrogen retention and gizzard weights of female Ross 308 broiler chickens aged 22 to 42 days.
Books on the topic "Mean productivity"
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Yoe, Charles E. Lock rehabilitation, a public infrastructure problem: The value of increased productivity in mean lockage performance. U.S. Army Corps of Engineers, Water Resources Support Center, Institute for Water Resources, 1987.
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Lee, Jooa Julia. Rainmakers: Why bad weather means good productivity. Harvard Business School, 2012.
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Gonzalez, Eduard. Construction worker motivation: The means to improving worker productivity. Available from the National Technical Information Service, 1991.
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Australia. Steering Committee on National Performance Monitoring of Government Trading Enterprises. Meas uring the total factor productivity of government trading enterprises. Steering Committee on National Performance Monitoring of Government Trading Enterprises, 1992.
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Holzhey, Christoph F. E., and Arnd Wedemeyer, eds. Errans. ICI Berlin Press, 2022. http://dx.doi.org/10.37050/ci-24.
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Today’s critical discourses and theorizing vanguards agree on the importance of getting lost, of failure, of erring — as do life coaches and business gurus. The taste for a departure from progress and other teleologies, the fascination with disorder, unfocused modes of attention, or improvisational performances cut across wide swaths of scholarly and activist discourses, practices in the arts, but also in business, warfare, and politics. Yet often the laudible failures are only those that are redeemed by subsequent successes. What could it mean to think errancy beyond such restrictions? And what would a radical critique of productivity, success, and fixed determination look like that doesn’t collapse into the infamous ‘I would prefer not to’? This volume looks for an answer in the complicated word field branching and stretching from the Latin errāre. Its contributions explore the implications of embracing error, randomness, failure, non-teleological temporalities across different disciplines, discourses, and practices, with critical attention to the ambivalences such an impossible embrace generates.
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Ciolfi, Emilio. Post-mortem inspection of swine: An effectiveness and productivity study. U.S. Dept. of Agriculture, Food Safety and Inspection Service, Technical Services Slaughter Inspection Standards and Procedures Division, 1989.
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Martin, Bent, ed. Livestock productivity enhancers: An economic assessment. CAB International, 1993.
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YEngashyev, Syergyey, Tamara Okolelova, Ekaterina Engasheva, et al. Production risk management in industrial poultry farming. Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02055-5.
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The manual summarizes the main production risks associated with mycotoxicosis, the use of herbicides, dysbacteriosis, the quality of premixes, mineral raw materials, water, feed, technological and biological stresses, and provides recommendations for minimizing livestock losses, poultry productivity and product quality in the production of eggs and meat.
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Arreglos Regionales Co-operativas para la Promoción de la Ciencia y la Tecnología Nucleares en América Latina, Food and Agriculture Organization of the United Nations., International Atomic Energy Agency, and Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture., eds. Livestock reproduction in Latin America: Proceedings of the final research co-ordination meeting of the FAO/IAEA/ARCAL III regional network for improving the reproductive management of meat- and meat-producing livestock in Latin America with the aid of radioimmunoassay, organized by the joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture and held in Bogota, 19-23 september 1988. --. International Atomic Energy Agency, 1990.
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United States. Congress. House. Committee on Ways and Means. Subcommittee on Trade. U.S. Customs Service reorganization and modernization efforts: Hearing before the Subcommittee on Trade of the Committee on Ways and Means, House of Representatives, One Hundred Fourth Congress, first session, January 30, 1995. U.S. G.P.O., 1995.
Find full textBook chapters on the topic "Mean productivity"
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Durner, Edward F. "Expected mean squares." In Applied plant science experimental design and statistical analysis using the SAS® OnDemand for Academics. CABI, 2021. http://dx.doi.org/10.1079/9781789249927.0015.
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Abstract This chapter focuses on expected mean squares. Expected mean squares are formulas based on statistical theory identifying the components of variability in sources of variation of an ANOVA (analysis of variance) table. Their theoretical derivation is beyond the scope of this text, thus they are presented in a simpler way here, providing a method for deriving expected mean squares without a background in statistical theory. The productivity of 10 cultivars of snap beans was used as an example.
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Niggli, Urs, Martijn Sonnevelt, and Susanne Kummer. "Pathways to Advance Agroecology for a Successful Transformation to Sustainable Food Systems." In Science and Innovations for Food Systems Transformation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15703-5_18.
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AbstractAgroecology is a powerful strategy that reduces the trade-offs between productivity and sustainability. It promotes the diversity of crops and livestock, fields, farms and landscapes, which together are key to improving the sustainability of food and farming systems in terms of long-term productivity, food actors’ empowerment and inclusion and environmental health. Agroecology is a bundle of measures taken by farmers that, individually or combined, mobilize biodiversity and ecosystem services for productivity. Ideally, it leads to economically and ecologically resilient production systems that are high-yielding. It does not necessarily mean a predefined farming system, and the shift from simplified by industrial standards to agroecological farms is gradual. The transformation and upscaling of agroecological practices requires changes that affect not only the management of farms, or production and consumption patterns at the food system level, but also the institutional framework conditions and the way in which we measure the performance of agricultural and food systems. In our chapter, we describe four domains of transformation – knowledge systems, markets, collaborations and policy coherence – each with enabling and constraining factors.
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Bisio, Laura, and Matteo Lucchese. "Educational mismatch and productivity: evidence from LEED data on Italian firms." In Proceedings e report. Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.52.
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This study aims at evaluating the impact of educational mismatch onto firm-level productivity for a large set of Italian firms. In particular, over (under)-education refers to situations where individual’s educational attainment is higher (lower) than the education required by the job, thereby producing a surplus (deficit) of education. Based on the integration of the LEED (Linked Employer Employee Database) Istat Statistical Register Asia Occupazione – which provides information on workers’ age, professional qualification and educational attainment – and the Istat Frame-SBS Register, we perform an analysis in the spirit of the ORU (Over, Required and Under Education) model proposed by Kampelmann e Rycx (2012). The dataset is based on a large panel of over 55,000 manufacturing and services firms with more than 20 employees, covering the 2014-2019 period. The empirical strategy is based on a two-step procedure: first, ORU indicators are computed at the worker-level; second, we estimate a firm-level productivity (value added per employee) function where the key variables of interest are the ORU indicators collapsed at the firm-level, taking into account both firm and workers characteristics. The productivity function is estimated by GMM-system by Arellano and Bond (1995) e Blundell and Bond (1988). Main results point out that over/under-education affects productivity growth in both manufacturing and services firms: firm’s productivity rises following a one unit increase in mean years of over-education – with spiking results for medium and high-tech manufacturing firms –, whereas a growth in under-education hampers productivity dynamics in high and medium-high tech manufacturing and knowledge-intensive services firms.
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Mukandiwa, B., W. Gumindoga, D. T. Rwasoka, and L. Chikwiramakomo. "Estimating Crop Water Productivity Using Remote Sensing Data at Plot Scale in an Irrigation System: The Case of Chisumbanje and Ratelshoek Estate." In Enhancing Water and Food Security Through Improved Agricultural Water Productivity. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1848-4_6.
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Abstract As a key water user, irrigation is critical to food production and security. The study’s main objective is to estimate crop water productivity using remotely sensed data at a plot scale in an irrigation system. To achieve this, the study assessed the biophysical site-specific factors affecting crop water productivity and irrigation performance in Chisumbanje sugarcane and Ratelshoek wheat farms of the Chipinge district of Manicaland province, Zimbabwe. This study estimated and compared the spatial distribution of seasonal actual evapotranspiration (ETa) of sugarcane and wheat for two contrasting irrigation schemes using the Surface Energy Balance Systems algorithms (SEBS) and WaPOR-derived products from 2012 to 2020. The results show substantial seasonal variation in actual evapotranspiration, with the maximum ETa in the summer season of 9 mm/day, a minimum of 3.98 mm/day in the winter season, and a mean ETa of 5.85 mm/day and a standard deviation of 2.02 mm/day. The actual evapotranspiration is high (>7.5 mm/day) in September, October, and December. The spatial–temporal variability of ETa maps in the Chisumbanje sugarcane estate and Ratelshoek wheat estate reveals that the sugarcane estate has higher ET values than the wheat estate. The findings from SEBS and WaPOR were used to assess the crop water productivity in both estates. Crop water productivity (CWP) varies from 2.4–3.0 kg m−3 (for wheat) to 1.2–1.6 kg m−3 (sugarcane). The findings from this research demonstrate the potential for irrigation managers to use remote sensing-based models to monitor irrigation water usage for efficient and sustainable use of water resources.
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Nzimande, T. N. M., Vimbayi G. P. Chimonyo, E. M. Wimalasiri, and Tafadzwanashe Mabhaudhi. "Using AquaCrop, DSSAT and the SIMPLE to Estimate Water Use of Underutilised Cereal in South Africa." In Enhancing Water and Food Security Through Improved Agricultural Water Productivity. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1848-4_9.
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Abstract The study compares yield, biomass and water use (WU) for maize, sorghum and millet simulated using three crop models of varying complexity: AquaCrop, DSSAT and the SIMPLE model. A standard set of crop parameters was used to develop crop files for all three models. Similar soil, climate and management descriptions from the Ukulinga Research Farm were used across the models. The performance of the three models was observed to be statistically different. Based on the mean bias error, all models overestimated yield, but the lowest overestimation was with AquaCrop (0.22 t/ha), followed by DSSAT (0.24 t/ha) and the SIMPLE model (0.69 t/ha). Other statistical indicators, namely, RMSE and R 2, illustrated that the simulation of yield and WP in AquaCrop was more satisfactory than DSSAT and the SIMPLE model. The study confirms that DSSAT requires relatively more input data but does not always perform more satisfactorily. Before their application, it is essential to calibrate crop growth parameters for local conditions or use parameters from local field studies when applying complex crop models such as DSSAT specifically for marginal environments, such as South Africa. On the other hand, AquaCrop performed reasonably well with minimal input requirements, confirming its application in data-limited and marginal environments. However, it is recommended that there must be calibration for all the models using inputs specific to locations.
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Njarui, D. M. G., M. Gatheru, and S. R. Ghimire. "Brachiaria Grass for Climate Resilient and Sustainable Livestock Production in Kenya." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_146.
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AbstractBrachiaria grass is a “climate smart” forage that produces high amount of palatable and nutritious biomass for livestock and performs well in infertile soils, sequesters carbon in soil, and provides several environmental benefits. The objective of the study was to validate the productivity of Brachiaria grass and upscale the suitable cultivars for improved livestock feed resources in Kenya. We assume integrating Brachiaria grass into mixed crop-livestock system will enhance feed availability and livestock productivity, leading to increased food and nutrition security. Farmer participatory approach was adopted to evaluate and promote four Brachiaria grass (Brachiaria decumbens cv. Basilisk, B. brizantha cvs. Xaraes, Piata, and MG-4) in the Central Highland and Eastern Midland of Kenya. The extension/advisory approaches used to promote Brachiaria grass cultivars included field days, village knowledge centres, agricultural shows, posters, and linkages with other institutions through multi-actor platform established under the InnovAfrica project. Generally, Brachiaria grass cultivars were more productive than the control (Rhodes grass) in most harvests reaching peak of 5.1–7.7 t/ha in the fifth harvest. For Rhodes grass, DM was less than 4 t/ha in all harvest and died by sixth harvest. Similarly, based on farmers’ evaluation using phenotypic traits, the Brachiaria grass cultivars had higher score than Rhodes grass except cv. Piata. The mean score ranged from 2.75 to 3.19 for Brachiaria cultivars, while for Rhodes the mean score was 2.63. Within 2 years of intervention, over 4000 farmers in the 2 project sites and additional 1500 farmers from other parts of the country have planted the Brachiaria grass. The demand for Brachiaria grass seeds is increasing due to benefits gained, e.g., increased milk production from dairy cattle fed on the grass. Our study will quantify the associated benefits from cultivation of Brachiaria grass with respect to a set of ecological, food and nutrition security, and social-economic indicators.
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De Paola, Maria, Roberto Nisticò, and Vincenzo Scoppa. "Academic Careers and Fertility Decisions." In Teaching, Research and Academic Careers. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07438-7_6.
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AbstractWe investigate how academic promotions affect the propensity of women to have a child. We use administrative data on the universe of female assistant professors employed in Italian universities from 2001 to 2018. We estimate a model with individual fixed effects and find that promotion to associate professor increases the probability of having a child by 0.6 percentage points, which translates into an increase by 12.5% of the mean. This result is robust to employing a Regression Discontinuity Design in which we exploit the eligibility requirements in terms of research productivity introduced since 2012 by the Italian National Scientific Qualification (NSQ) as an instrument for qualification (and therefore promotion) to associate professor. Our finding provides important policy implications in that reducing uncertainty on career prospects may lead to an increase in fertility.
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Saltık, Ahmet Oğuz, Alicia Allmendinger, and Anthony Stein. "Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed Detection." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91835-3_12.
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Abstract This paper presents a comprehensive evaluation of state-of-the-art object detection models, including YOLOv9, YOLOv10, and RT-DETR, for the task of weed detection in smart-spraying applications focusing on three classes: Sugarbeet, Monocot, and Dicot. The performance of these models is compared based on mean Average Precision (mAP) scores and inference times on different GPU and CPU devices. We consider various model variations, such as nano, small, medium, large alongside different image resolutions (320px, 480px, 640px, 800px, 960px). The results highlight the trade-offs between inference time and detection accuracy, providing valuable insights for selecting the most suitable model for real-time weed detection. This study aims to guide the development of efficient and effective smart spraying systems, enhancing agricultural productivity through precise weed management.
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Modak, Sourav, and Anthony Stein. "Enhancing Weed Detection Performance by Means of GenAI-Based Image Augmentation." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91835-3_17.
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Abstract Precise weed management is essential for sustaining crop productivity and ecological balance. Traditional herbicide applications face economic and environmental challenges, emphasizing the need for intelligent weed control systems powered by deep learning. These systems require vast amounts of high-quality training data. The reality of scarcity of well-annotated training data, however, is often addressed through generating more data using data augmentation. Nevertheless, conventional augmentation techniques such as random flipping, color changes, and blurring lack sufficient fidelity and diversity. This paper investigates a generative AI-based augmentation technique that uses the Stable Diffusion model to produce diverse synthetic images that improve the quantity and quality of training datasets for weed detection models. Moreover, this paper explores the impact of these synthetic images on the performance of real-time detection systems, thus focusing on compact CNN-based models such as YOLO nano for edge devices. The experimental results show substantial improvements in mean Average Precision (mAP50 and mAP50-95) scores for YOLO models trained with generative AI-augmented datasets, demonstrating the promising potential of synthetic data to enhance model robustness and accuracy.
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Wehmeyer, Helena, Grant Robert Singleton, and Melanie Connor. "Introduction—How Swiss Foreign Aid for International Development Benefits Agricultural Development Across Asia." In Closing Rice Yield Gaps in Asia. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37947-5_1.
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AbstractIn most of South and South East Asia and the Pacific, (For geographical descriptions, CGIAR regions are used. https://www.cgiar.org/research/cgiar-regions/) rice is the staple food crop. It is predominantly cultivated by smallholder farmers. Although the Green Revolution has modernized rice agriculture considerably, farmers today face the consequences of decades-long unsustainable natural resource use. Environmental degradation has become prevalent and climate change is exacerbating the current challenges. In this context, the diffusion of agricultural best management practices and technologies is crucial for ensuring rural livelihoods and global food security. The ‘Closing Rice Yield Gaps in Asia with Reduced Environmental Footprint’ (CORIGAP) project (2013–2023) funded by the Swiss Agency for Development and Cooperation (SDC) aimed to improve rice farmers’ productivity and profitability in five South East Asian countries and one South Asian country by disseminating sustainable agriculture practices and technologies. The Irrigated Rice Research Consortium (1997–2012), also funded by the SDC, provided a strong platform for the CORIGAP project with national partners already in place in five of the six countries. As of 2022, more than 780,000 farmers were reached through CORIGAP. Mean rice yield and mean income increased by more than 10% for smallholder families. Through CORIGAP, SDC provided a strong platform for farmers to adopt best management practices for producing lowland irrigated rice. These practices, in turn, significantly reduced the use of pesticides, increased the efficiency of nutrient and water use, and decreased postharvest losses.
Conference papers on the topic "Mean productivity"
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Gribi, Mitchell. "Installed UT Sensors for Continuous Corrosion Monitoring: Better Understanding How Process Changes Influence Corrosion Rates." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16228.
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Abstract Understanding small changes in a process situation can shed light on asset integrity, safety, and efficiency and mean the difference of potentially millions of dollars in cost savings, downtime, and productivity in just one area of a facility. Installed UT (Ultrasonic Thickness) sensors can provide better visibility around how, when, and why corrosion is happening in assets and allows operators to track and monitor occurrences of corrosion with extremely high precision (+/- .001 in). Owner-operators can then overlay corrosion-rate data with process data to help everyone throughout the value chain understand how to most efficiently and safely operate their assets by remediating and/or extending their useful life. Thus, moving from a time-based maintenance interval to that of a predictive-based interval. This paper will cover real examples of how owner-operators have used permanent or temporarily installed UT sensors to monitor problematic areas, track process changes, and verify the strategic asset integrity ramifications of operational fluctuations.
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Laurent, Craig S. "Corrosion Protection through the Use of Desiccant Wheel Dehumidification." In CORROSION 1989. NACE International, 1989. https://doi.org/10.5006/c1989-89319.
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Abstract The use of "dry air" to preserve and protect various materials has been in practice for thousands of years. Natural dehumidification by locating in a dry climate, is frequently an optimal solution. The Egyptians have long known the benefits of using the dry desert climate to protect and store their national treasures. The state-of-the-art in dehumidification technology includes cost-effective, self-rejuvenating dehumidification equipment. Known as the Desiccant Wheel, this technology utilizes a desiccant impregnated honeycomb-construction wheel. Desiccant Wheel technology has resulted in reduced size (portability), reduced power requirements, improved maintainability and reliability due to few moving parts, and simple operation with minimal training. Moisture induced faults and corrosion significantly degrade avionics systems and aircraft readiness. Application of Desiccant Wheel Dehumidification technology to operational aircraft has increased system Mean-Time-Between-Failures (MTBF) by 290% and reduced operation and maintenance costs by 20% for Scandinavian Air Forces. This technology has increased maintenance productivity and is now being applied to U.S. military operational aircraft.
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Winster Praveenraj, D. David, Mohammed I. Habelalmateen, Akrati Shrivastava, Amarpreet Kaur, A. S. Valarmathy, and Chintamani Prasad Patnaik. "Behavioral Time Management Analysis: Clustering Productivity Patterns using K-Means." In 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS). IEEE, 2024. http://dx.doi.org/10.1109/iicccs61609.2024.10763887.
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Bae, Han-Jin, Jae-Jin Baek, Chae-Suk Lee, et al. "Improvement of Blasting Productivity by Optimizing Blasting-Related Operation Parameters." In Paint and Coatings Expo (PACE) 2007. SSPC, 2007. https://doi.org/10.5006/s2007-00006.
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Abstract As a means of surface preparation for protective coatings, abrasive blasting provides proper surface roughness and increases the surface area, which are critical in achieving physical and chemical adhesion between steel surface and organic coatings. For application of high-performance coating in a new shipbuilding, the abrasive blasting cleaning is widely favored primarily because of its economic and performance benefits. The abrasive blasting, however, also requires the significant amount of labor hour, whereas its efficiency mainly depends on the blaster’s skill. Blasting cleaning productivity is known to be affected by a number of parameters, such as air pressure at the nozzle, air volume, abrasive/air mixing ratio, abrasive type and size, and type of nozzle used, and so on. In this study, the effects of these operating parameters are evaluated as a means to find the optimum window for blasting conditions. For this, a series of tests were conducted in the laboratory-scale blasting test facility to simulate the actual blasting practice. The results clearly indicated that the newly optimized blasting condition can improve blasting efficiency and remarkably reduce the amount of abrasive used. And also, a general trend is observed that blasting productivity is gradually increased with grit feeding rate to certain critical value, and than maintained constantly.
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Hamami, Faqih, Iqbal Ahmad Dahlan, and Laura Tsanaullailla. "Segmentation of Lecturer Productivity from Indexed Publications with K-Means Algorithm and Principal Component Analysis." In 2024 International Conference on ICT for Smart Society (ICISS). IEEE, 2024. http://dx.doi.org/10.1109/iciss62896.2024.10751481.
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Ishak, Yosia Amadeus, Teny Handhayani, Manatap Dolok Lauro Sitorus, William, Jeanny Pragantha, and Irvan Lewenusa. "Advanced Clustering Approach for Mapping Regions of Paddy Productivity in Indonesia Using Intelligent K-Means." In 2024 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS). IEEE, 2024. https://doi.org/10.1109/agers65212.2024.10932942.
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Stratan, Alexandru, and Victoria Fala. "International competitiveness, productivity and innovations." In 26th International Scientific Conference “Competitiveness and Innovation in the Knowledge Economy". Academy of Economic Studies of Moldova, 2023. http://dx.doi.org/10.53486/cike2022.01.
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The countries that seek to increase their wealth and the wellbeing of their population should promote policies to increase their competitiveness and therefore to strengthen their ability to obtain decent incomes on external markets form the sales of goods and services they produce. Exports are a mean to avoid the small size of the internal market. They let companies to increase economies of scales by extending the market, to specialize and improve production processes and their products and services. Exporting companies may have access to a more sophisticated demand, to new knowledge, technologies. Thus increasing exports should spur aggregate productivity and economic growth. On the other side exports performance is a reflection of a country competitiveness. The competitive advantage of countries depends on the ability of companies to innovate and upgrade and the national environment is very important in this regards (Porter, 1990). The objective of the research is to evaluate the innovation environment, productivity and international competitiveness of the Republic of Moldova comparing to Central European countries. Some of the conclusions the authors have drawn from the undertaken research are as follows. Moldova rank significant lower comparative to the benchmark countries as concerns the innovation input sub index and knowledge impact index of the Global Innovation Index produced by Global forum of intellectual property. The knowledge impact expressed in production and exports complexity, labor productivity growth, and high tech exports of total trade is small that explains the share of Moldova in the world export market.
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Karandikar, Jaydeep, Tom McLeay, Sam Turner, and Tony Schmitz. "Remaining Useful Tool Life Predictions Using Bayesian Inference." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1152.
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Tool wear is an important limitation to machining productivity. In this paper, remaining useful tool life predictions using the random walk method of Bayesian inference is demonstrated. End milling tests were performed on a titanium workpiece and spindle power was recorded. The power root mean square value in the time domain was found to be sensitive to tool wear and was used for tool life predictions. Sample power root mean square growth curves were generated and the probability of each curve being the true growth curve was updated using Bayes’ rule. The updated probabilities were used to determine the remaining useful tool life. Results show good agreement between the predicted tool life and the true remaining life. The proposed method takes into account the uncertainty in tool life and the percentage of nominal power root mean square value at the end of tool life.
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Jebaraj, C., and G. Balakrishnan. "PDM Implementation in Indian Industries: An Impact Study on Technology Adoption." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34723.
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Shorter product life cycles, growing product complexity and the need for a large number of product variants have made Product Data Management (PDM) increasingly important for many manufacturing industries. Since, many industries in India either have implemented PDM or are considering implementation, it is the right time to study the real impact of PDM in Indian industries. This impact study was made by the responses obtained through a survey questionnaire. The main objective of the survey is to study the impact of PDM implementation on productivity. The variables of productivity measurement in terms of Key Performance Areas have been identified using Performance Objective-Productivity model. The questionnaire has been designed and administered and the responses received have been analysed using SPSS software. General descriptive statistics including mean and standard deviation along with paired t-test and Pearson’s correlation studies have been employed for analysing the importance of the measures of productivity. A user driven PDM evaluation framework and methodology based on the two stage Quality Function Deployment (QFD) technique has been developed to select the most suitable PDM product for a specific industry. A simple model to measure the Return on Investment for PDM implemented industries based on Port and Mackrell’s [24] work has been developed. Thus, methodologies have been developed and demonstrated with case studies to overcome the issues identified in the survey.
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Luo, Yang, Bo Kang, Jianhua Qu, et al. "Optimal Matching of Multi-stage Fracturing Parameters with Geological Characteristics in Shale Gas Well Based on Deep Learning Algorithm." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222271-ms.
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Abstract Multi-stage hydraulic fracturing in horizontal well is a pivotal technology for the efficient development of shale gas reservoirs. Given the pronounced heterogeneity along the horizontal section, precise matching of fracturing parameters with geological characteristics in each fracturing stage is imperative for enhancing well productivity. In this paper, a data-driven productivity prediction model at the stage level was established based on field data and the Gate Recurrent Unit (GRU) algorithm. Fracturing and geological features in each stage was integrated as the model input matrix, and an additional mask layer was employed to accommodate varying stage numbers among different wells. To achieve optimal matching between fracturing parameters and geological characteristics, a novel variable-dimension optimization algorithm was proposed. Aiming at maximizing well productivity, this algorithm can determine the optimal number and positions of fracturing stages according to the geological profile and generate corresponding fracturing parameters. Trained with real data from over 120 wells in Sichuan basin, China, the productivity prediction model achieved a robust performance with a mean relative error (MRE) of 10.1%. This MRE represents a 34.3%~67.7% improvement over traditional multilayer perceptron and random forest models, demonstrating the significance of extracting features in each stage. Optimization results for a representative well case indicate that to maximize productivity, the optimal stage number is 28, with stage length ranging from 51m to 91m, and fracturing parameters tailored to the geological characteristics in each stage. Furthermore, post-fracturing optimization, micorseimic monitoring reveals a 32.3%~44.5% increase in stimulated reservoir volume compared to adjacent wells, resulting in a productivity boost of 21.2%~35.7%. Unlike manual stage division and separate fracturing parameters optimization in each stage, the approach proposed in this paper can identify the optimal stage number, stage positions and fracturing parameters in each stage perfectly matching the geological characteristics. This study provides a novel framework for the fracturing parameters optimization in shale gas wells.
Reports on the topic "Mean productivity"
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Yoe, Charles E. Lock Rehabilitation, A Public Infrastructure Problem: The Value of Increased Productivity in Mean Lockage Performance. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada184386.
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Emmet, John T., Jens Oberheide, Douglas P. Drob, et al. What Does Scientific Reproducibility and Productivity Really Mean? The Dangers and Difficulties of a Blanket Open Code Policy. National Academies Press, 2018. http://dx.doi.org/10.17226/25217_21.
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Phisalaphong, Muenduen. Development of cell carrier for improved productivity of continuous ethanol fermentation by Saccharomyces cerevisiae. Chulalongkorn University, 2010. https://doi.org/10.58837/chula.res.2010.51.
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The production of a renewable energy from biomass, such as ethanol by fermentation, has received special attention as a consequence of the world energy crisis. Nowadays, gasohol E-10, a mixture of 10% ethanol and 90% gasoline has been widely used in vehicles in Thailand and there is an attempt to promote the use of E-20 or E-85 in the vehicles in the near future. Ethanol fermentation by conventional batch suffers from various constrains such as, low cell density and rather time consuming. Although continuous fermentation by suspended cell culture can be used to speed up the process, it is more difficult to operate and maintain it free of microbial contamination. Immobilized cell technology has been suggested as an effective mean for improved fermentation. The immobilization of cells leads to a high productivity, and good operational stability. The main advantages in the use of immobilized cells in comparison with suspended cells are the retention in a reactor of higher cell concentration, protection of cells against toxic substances and elimination of costly processes of cell recovery and cell recycle. However, the major problems of using immobilization technique in industrial scale are mass transfer limitation and instability in long term operation. For improved performance of immobilized cell carriers, three new types of the cell carriers for ethanol fermentation were developed in the current study, namely, 1) Loofa reinforced alginate carriers 2) Alumina doped alginate gel carrier and 3) Thin shell silk cocoon. These cell carriers were applied for the immobilization of Saccharomyces cerevisiae M30 in ethanol fermentation using sugar cane molasses as a C-source. The developed cell carriers provided many advantage characteristics such as, good mechanical strength, high stability and high immobilization yield. The ethanol productivities of 1.3-1.5 and 8.0-19.0 g/(L h) were achieved by using the immobilized cultures in batch and continuous modes of operation, respectively. The ethanol fermentations in a continuous packed-bed reactor using the immobilized cultures worked efficiently and were stable over 30 days. The results demonstrated the potential use of the cell carriers in an ethanol fermentation system for a long period of time. In extending this work, biomaterial development and characterization for tissue engineering and membrane separation were carried out. Based on this research, we can produce 8 international research articles, 2 Thai patents, 4 international conference proceedings, 3 national conference proceedings and support research activities for 7 master degree students and 1 doctoral degree student.
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Pérez, N., D. Criollo, and S. Ospina. Wood density and vessel traits of woody species in Colombian seasonal dry lands as an adaptation to, and resilience mechanism for, livestock systems. Corporación colombiana de investigación agropecuaria - AGROSAVIA, 2019. http://dx.doi.org/10.21930/agrosavia.poster.2019.5.
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In Colombia, as well as in South America, dry seasonal tropics have drought periods that can last for six months with less than 10% of mean annual rainfall (900-1150 mm). For livestock systems, this situation generates constraints in the quantity and quality of forage affecting productivity, protability and causing damage to natural resources (Figure 1). Within vegetative genetic resources, fodder trees are recognized for their adaptation to climate change and because they are a source of nutrients for herbivores, they are a topic that waits for improving knowledge about their contribution to mitigation. This study explores the range and variability patterns of xylem vessel traits and wood density of 24 woody forage species (Table 1) which occur within pastures and semi-natural grasslands in dry seasonal areas of the Tolima and Huila departments of Colombia.
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Sharpe, John D. Coaching - A Means to Improve Employee Productivity. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada323677.
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Kunpanitchakit, Danuja, Duangsamorn Orapin, and Supol Durongwatana. Consistency of firm's performance evaluation and compensation plans with competitive strategy. Chulalongkorn University, 2004. https://doi.org/10.58837/chula.res.2004.25.
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According to “Contingency Theory” and several researches, there is no absolutely conclusive result to show that there is a best control system for all firms that fits all types of competitive strategy. Also, based on “Expentancy Theory” , in order to motivate employee, the compensation plans have to cover all performance measures that fully reflect employee’s effort. Hence, this case-based research is set up for the purpose of studying the consistency of firm’ s performance evaluation and compensation plans with competitive strategy. All 285 of MBA students at the Faculty of Commerce and Accountancy, Chulalongkorn University, Thailand, are the experimental units. The controlled group with 141 regular MBA students are subdivided into two groups as low-cost group and product-differentiation group. Then each group is subdivided into two more sub groups as CEO and MD groups. For the treated groups with 144 executive MBA students, subdivision is done in the same manner as the controlled group. The experiment is set up to evaluate whether competitive strategy affects weights placed on performance measures used for firm’ s performance evaluation and compensation plans. Also, it is set up to evaluate the consistency of weights placed on performance measure for these two purposes under a given competitive strategy. The research results are as expected. That is, under low-cost strategy, a firm places more weights on financial performance measures for firm’s performance evaluation resulting in short-term oriented compensation plans and vice versa. Under product-differentiation strategy, a firm places more weights on non-financial performance measures for firm’s performance evaluation resulting in long-term oriented compensation plans and vice versa. Therefore, the consistency of two control systems are evidenced from this research. That is, for a given competitive strategy, a control system designed by first considering the appropriate firm’s performance evaluation system to match with that strategy in terms of weights placed on performance measures followed by the compensation plans will be consistent with the control system designed by first considering the appropriate compensation plans to match with that same strategy and followed by firm’ performance evaluation system. However, executives of a low-cost strategy firm significantly place more weight on “productivity” which is one of non-financial performance measures for both firm’s performance evaluation and compensation plans than those of a product-differentiation strategy firm. This means that although productivity is non-financial performance measure, it still plays crucial role for a low-cost strategy firm than a product-differentiation one. This may be due to the fact that usually low-cost strategy firms emphasis on efficiency as an important mean to reduce cost. And “productivity” is one performance measure that evaluates the efficiency of firms.
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Laughlin, Madison, Natasha Antonova, John Boetsch, Brian Harvey, and Joshua Lawler. Landscape disturbance status and trend analysis report for the North Coast and Cascades Inventory and Monitoring Network, 1987–2017. National Park Service, 2025. https://doi.org/10.36967/2313366.
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Disturbance is a key characteristic of landscapes that significantly influences ecosystem functions such as carbon storage, water storage, and nutrient cycling, as well as ecosystem structure and productivity. This report summarizes disturbance patterns and trends for three national parks—North Cascades National Park Service Complex, Olympic National Park, and Mount Rainier National Park—and adjacent federally protected wilderness areas in the Pacific Northwest. We assessed changes greater than 0.8 ha across a 31-year period from 1987 through 2017 as detected using freely available satellite imagery, an automated change detection algorithm, and human review to identify and label disturbance areas in the following categories: Fire, Riparian Change, Avalanche, Defoliation, Mass Movement, Blowdown, Coastal Change, Ice Damage, Development, and Clearing. Fire was the predominant disturbance category for all parks combined, affecting 78% of cumulative disturbed area, followed by Defoliation which affected approximately 12% of total disturbed area. Generalized linear models indicated significant increases of annual disturbed area affected by Fire at Mount Rainier and Olympic National Park. Mean disturbance patch size also increased for Mount Rainier and all park study areas combined. Additionally, the number of Defoliation disturbance events at North Cascades National Park Service Complex and in all park study areas combined increased in the latter half of the study period (2000 to 2017) compared with the first half, as well as annual area affected by Defoliation in the eastern portion of North Cascades. These results, maps, and summaries provide useful baseline information about the frequency, extent, and magnitude of landscape change processes in and adjacent to our parks that can be used for guiding natural resource planning and understanding disturbance patterns in remote wilderness areas.
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Marsden, Eric, and Véronique Steyer. Artificial intelligence and safety management: an overview of key challenges. Foundation for an Industrial Safety Culture, 2025. https://doi.org/10.57071/iae290.
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Artificial intelligence based on deep learning, along with big data analysis, has in recent years been the subject of rapid scientific and technological advances. These technologies are increasingly being integrated into various work environments with the aim of enhancing performance and productivity. This dimension of the digital transformation of businesses and regulatory authorities presents both significant opportunities and potential risks for industrial safety management practices. While there are numerous expected benefits, such as the ability to process large volumes of reliability data or unstructured natural language incident reports, the structural opacity of large neural networks, their non-deterministic nature, and their capacity to learn from new data mean that traditional safety assurance techniques used for conventional software are not applicable. Additionally, the expansion of the scope of automatable tasks and the gradual move towards work collectives that are composed of human operators who collaborate with various intelligent machines and agents introduce new variables that must be considered alongside and integrated with the organizational and human factors of safety. What are the main challenges posed by these new technologies in terms of skills management, worker well-being, privacy protection, and the pursuit of performance that aligns with societal expectations? What changes are required in how we conceptualize the safety of high-stakes activities, how we demonstrate and verify the absence of unacceptable risks, and anticipate potential deviations? This document provides a concise overview of the most recent available information, contextualized by decades of research on automation in high-hazard systems. It focuses specifically on the projected impacts for high-hazard industries and infrastructures over the next ten years.
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Kuramoto, Juana R. Innovation, R&D and Productivity: Case Studies from Peru. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0011209.
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This paper analyzes quantitative findings on the innovative behavior of firms in the production chains of pisco and shoe manufacture in Peru, which are served by the network of Technological Innovation Centers (CITEs), the most important technology policy instrument available in Peru. These two chains, in low and medium-technology industries, are representative of Peru's manufacturing sector. Of particular interest is the role of technical standards as a means of technological diffusion, which is stressed in the work of the CITEs. For the pisco chain, that role involves the definition of the product itself, for which Peru is seeking a World Intellectual Property Organization (WIPO) denomination. In the shoe chain, the technical standard should act as a coordination mechanism that will help increase efficiency throughout the chain, which at present is often fractured.
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Pope, Daniel, and Rebecca Pope. GRl-00-0056 Diagnosis Treatment and Monitoring of MIP in Natural Gas Storage Facilities. Pipeline Research Council International, Inc. (PRCI), 1999. http://dx.doi.org/10.55274/r0010895.
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This project works to identify state-of-the-art methods for diagnosis, treatment, and monitoring of microbiologically influenced productivity (MIP) in natural gas storage facilities. It is meant to provide theoretical and practical information about MIP, how it works, how to diagnose it, and how to treat it.