Relevant bibliographies by topics / Productivity enhancement

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Productivity enhancement'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Productivity enhancement"

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SHIRATANI, Masaharu. "Research Productivity Enhancement." Hyomen Kagaku 34, no. 10 (2013): 519. http://dx.doi.org/10.1380/jsssj.34.519.

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Nafey, A. S., M. Abdelkader, A. Abdelmotalip, and A. A. Mabrouk. "Solar still productivity enhancement." Energy Conversion and Management 42, no. 11 (July 2001): 1401–8. http://dx.doi.org/10.1016/s0196-8904(00)00107-2.

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Unosawa, Kazuomi, Takerou Adachi, Yuriko Hirai, Shigemi Isobe, and Narimichi Takei. "Productivity Enhancement in Tablet Coating." Journal of the Society of Powder Technology, Japan 47, no. 6 (2010): 421–25. http://dx.doi.org/10.4164/sptj.47.421.

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Hak Kil Pyo. "Global Financial Crisis and Productivity Enhancement." KUKJE KYUNGJE YONGU 15, no. 1 (April 2009): 1–28. http://dx.doi.org/10.17298/kky.2009.15.1.001.

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Hagan, Patrick S., and Robert W. Cox. "Productivity enhancement in hydrofractured oil reservoirs." European Journal of Applied Mathematics 1, no. 1 (March 1990): 25–46. http://dx.doi.org/10.1017/s0956792500000048.

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Low permeability formations are often hydrofractured to increase the production rate of oil and gas. This process creates a thin, but highly permeable, fracture which provides an easy path for oil and gas to flow through the reservoir to the borehole. Here we examine the payoff of hydrofracturing by determining the increased production rate of a hydrofractured well. We find explicit formulas for the steady production rate in the three regimes of small, intermediate, and large (dimensionless) fracture conductivities. Previously, only the formula for the large fracture conductivity case was known.We assume that Darcy flow pertains throughout the reservoir. Then, the steady fluid flow through the reservoir is governed by Laplace's equation with a second-order boundary condition along the fracture. We first analyze this boundary value problem for the case of small fracture conductivities. An explicit formula for the production rate is obtained for this case, essentially by combining singular perturbation methods with spectral methods in a function space which places the second-order boundary condition on the same footing as Laplace's equation. Next, we re-cast Laplace's equation as a variational principle which has the second-order boundary condition as its natural boundary condition. This allows us to use simple trial functions to derive accurate estimates of the production rate in the intermediate conductivity case. Then, an asymptotic analysis is used to find the production rate for the large fracture conductivity case. Finally, the asymptotic and variationally-derived production rate formulasare compared to exact values of the production rate, which have been obtained numerically.It may be feasible to create more than a single fracture about a borehole. So we also develop similar asymptotic and variational formulas for the production rate of a well with multiple fractures.
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Nicholds, Boyd Alexander, and John P. T. Mo. "Reliability analysis of productivity enhancement initiatives." Journal of Manufacturing Technology Management 29, no. 6 (October 15, 2018): 1003–24. http://dx.doi.org/10.1108/jmtm-12-2016-0187.

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Purpose Process improvement (PI) projects in manufacturing suffer from high failure rates, often due to management capability overstretch. An organisation’s management may be unaware that they lack the necessary capability to achieve desired performance gains from a particular PI project. As a consequence, PI projects containing a level of complexity are undertaken but the organisation is not capable of providing the required resources. The purpose of this paper is to develop a new method for assessing whether a productivity enhancement initiative which develops into PI projects have a good probability of success (POS). The risk assessment method predicts the POS in achieving desired performance targets from a PI project. Design/methodology/approach The POS of a system can be measured in terms of reliability. An operation with a high POS indicates high reliability of the system’s ability to perform. Reliability is a form of risk assessment. When applied to PI projects, several key factors should be addressed. First, risk should be modelled with a framework that includes human factors. Second, time is an important dimension due to the need for persistence in effort. This research proposes the concept of performance effectiveness function, kP, that links the capability of an organisation with its performance level. A PI reliability function indicating the probably of success of the PI projects can then be derived at the design stage by combining the capability score and actual performance. Findings The PI reliability function has been developed and tested with an industry case in which a PI project is planned. The analysis indicates that the company is far from ideal to do the project. Research limitations/implications The reliability function may be used as a decision support tool to assist decision makers to set realistic performance gain targets from PI projects. The data set for deriving the function came from automotive and metal industries. Further research is required to generalise this methodology to other industries. Practical implications The reliability-based approach fills the gap in PI literature with a more holistic approach to determine the POS. Using the system’s reliability as an indicator, decision makers can analyse the system’s design so that resources can be used to increase key capabilities and hence the overall system’s POS can be increased more effectively. Social implications Many manufacturing organisations are looking to improve their operations by projects that aim to reduce waste in their operations. However, researches show that while achieving desired performance gain from PI is possible, it is by no means certain due to human factors. This research provides a decision support tool that evaluates human factors as well. Originality/value The originality lies in integration of the reliability theory to PI risk assessment and the novel method of characterising organisational capabilities to work towards meeting desired performance targets from manufacturing PI projects. This work has good potential to generalise for estimating the POS of other types of development projects.
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Zhan, Wenting, and Wei Pan. "Formulating Systemic Construction Productivity Enhancement Strategies." Journal of Construction Engineering and Management 146, no. 8 (August 2020): 05020008. http://dx.doi.org/10.1061/(asce)co.1943-7862.0001886.

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Shamsuzzoha, A. H. M. "Modular product architecture for productivity enhancement." Business Process Management Journal 17, no. 1 (February 8, 2011): 21–41. http://dx.doi.org/10.1108/14637151111105562.

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Wagner, Laura J., Pam Weathers, Alex DiIorio, and Ron Cheetham. "Enhancement of lettuce productivity by ratooning." Scientia Horticulturae 57, no. 3 (April 1994): 177–85. http://dx.doi.org/10.1016/0304-4238(94)90139-2.

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Joshi, Rinkalben N. "Solar Still Productivity Enhancement Systems: A Review." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 1609–15. http://dx.doi.org/10.22214/ijraset.2019.4291.

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Dissertations / Theses on the topic "Productivity enhancement"

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Alotaibi, Meteab Aujian. "Productivity enhancement through process integration." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4204.

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A hierarchical procedure is developed to determine maximum overall yield of a process and optimize process changes to achieve such a yield. First, a targeting procedure is developed to identify an upper bound of the overall yield ahead of detailed design. Several mass integration strategies are proposed to attain maximum yield. These strategies include rerouting of raw materials, optimization of reaction yield, rerouting of product from undesirable outlets to desirable outlets, and recycling of unreacted raw materials. Path equations are tailored to provide the appropriate level of detail for modeling process performance as a function of the optimization variables pertaining to design and operating variables. Interval analysis is used as an inclusion technique that provides rigorous bounds regardless of the process nonlinearities and without enumeration. Then, a new approach for identification of cost-effective implementation of maximum attainable targets for yield is presented. In this approach, a mathematical program was developed to identify the maximum feasible yield using a combination of iterative additions of constraints and problem reformulation. Next, cost objectives were employed to identify a cost-effective solution with the details of design and operating variables. Constraint convexification was used to improve the quality of the solution towards globability. A trade-off procedure between the saving and expenses for yield maximization problem is presented. The proposed procedure is systematic, rigorous, and computationally efficient. A case study was solved to demonstrate the applicability and usefulness of the developed procedure.
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Higgins, John Lawrence, and Sharen Elizabeth Dechard. "Study of the productivity enhancement initiative, engineering the workplace." Thesis, Monterey, California. Naval Postgraduate School, 1985. http://hdl.handle.net/10945/21564.

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Stam, Christiaan David. "Knowledge productivity designing and testing a method to diagnose knowledge productivity and plan for enhancement /." Enschede : University of Twente [Host], 2007. http://doc.utwente.nl/58109.

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Sodemann, Angela Ann. "A study on productivity enhancement in high-speed, high-precision micromilling processes." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31764.

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Thesis (Ph.D)--Mechanical Engineering, Georgia Institute of Technology, 2010.
Committee Chair: Major, J. Rhett; Committee Member: Melkote, Shreyes; Committee Member: Ozdoganlar, Burak; Committee Member: Shi, Jan; Committee Member: Ume, I. Charles. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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David, Jose Hernan. "Identifying the factors that contribute to the effectiveness of the Productivity Measurement and Enhancement System (ProMES)." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/1162.

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The Productivity Measurement and Enhancement System (ProMES) is a human resource intervention that provides feedback to members of an organizational unit via a measurement system constructed by the unit personnel. The unit constructs the system by defining their objectives, identifying productivity indicators for each objective, and developing utility curves or contingencies for each indicator, specifying the overall and relative value to the organization of different performance levels on each indicator. Over the years, it has produced very positive results upon implementation. However, there has been great variability in the effectiveness of ProMES. This study attempted to identify the factors that contributed to this variability. Three major factors were proposed to influence the success of the intervention: feedback quality, the degree to which units prioritized their actions on the feedback, and the organizational social context. Additionally, the individual effects of the components of the organizational social context factor were analyzed; these components included the degree of employee participation in the intervention, unit attitudes towards productivity improvement, organizational support for the intervention, and organizational stability. Three productivity indices were used as dependent variables: the unit d-score (the difference between feedback productivity and baseline productivity divided by the pooled standard deviation), the rate of productivity change over the first third of the feedback stage, and the degree to which units were able to sustain prior productivity improvements over the last two thirds of the feedback stage. The degree of match with the original ProMES methodology was proposed as a moderator in the relationship between the three major factors and the criteria, and the degree of feedback interpretation training given to the unit was proposed as a moderator between the units? action on feedback and the criteria. Drawing on a database of 74 units from different industries and countries, scales were constructed to operationalize the factors. Results from multiple regression analyses indicated that favorable attitudes towards productivity improvement were associated with faster productivity improvements. Additionally, feedback quality and the action taken on feedback significantly predicted greater and faster productivity improvements. The implications for human resource professionals and researchers in industrial/organizational psychology are discussed.
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Udoh, Tinuola H. "Productivity enhancement in a combined controlled salinity water and bio-surfactant injection projects." Thesis, University of Aberdeen, 2018. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=238375.

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Byrnes, John M. (John Marshall). "A system dynamics model of a small R&D office : productivity enhancement." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14265.

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Lacerda, Filho Armando Marsden. "Fermentation systems for enhancement of ethanol productivity in Saccharomyces cerevisiae at elevated temperatures." Thesis, University of St Andrews, 1996. http://hdl.handle.net/10023/14371.

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Three Brazilian yeast strains, Saccharomyces cerevisiae 42 - F, Saccharomyces cereviaiae PLA 851 and Saccharomyces boulardli IZ 1904, all currently employed in the sugar fermentation industry, were evaluated with respect to their thermal tolerance and alcohol production kinetics. Best performance was found in Saccharomyces cerevisiae PLA 851 at temperatures up to 40 degrees (a common fermentation temperature in the Brazilian industry). This strain was further evaluated in chemostatic growth under sucrose limitation with biomass feedback on a 1 Litre scale in a specially constructed apparatus. At 30 degrees and 35 degrees under a dilution (growth) rate of 0.1 /h ethanol productivity increased by a factor of 2 with feedback and at 40 degrees by a factor of 3. The feedback factor (Beta) was 0.9. PLA 851 cells, heat - shocked at 45 degrees, resulted in a greater biomass productivity subsequently at 40 degrees coupled with a change in cell morphology. Highest ethanol productivity was found with 10% initial sucrose concentration at a dilution rate of 0.25 /h with feedback. Saccharomyces cerevisiae PLA 851 appears to be well adapted to the harsh physiological conditions in alcohol fermentations as currently practiced in Brazil.
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Pap, Ilona. "Productivity enhancement in optical semiconductor manufacturing: Early warning of failures in BHet laser fabrication." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26736.

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There are unique challenges in the fabrication and testing of optical semiconductor devices because, unlike typical silicon semiconductor devices, which can be tested cost-effectively on the wafer, many optical devices can only be 'fully' tested once the individual die is bonded to a heat sink. As a result, both the manufacturing process and test strategy need to be capable of predicting yields and product quality attributes based on limited sampling from a batch of the product. The large number of product quality and process variables that are measured for each device when it is manufactured makes it almost impractical to manually analyze them for valuable decision-making information. There is a need for understanding the complex, interactive effects of process variables on the product quality variables as well as automated analysis and discovery tools for extracting useful knowledge from the raw data. Such knowledge could have a significant impact on productivity and quality improvement. The objective of the present study is to identify useful correlations amongst the numerous process variables and to develop simple empirical models to predict important process quality indicators. Quality is assessed using statistical data analysis, focusing on the primary functions of major failures. Validation of the data set also demonstrated that linear models were accurate in predicting new data points for some of the output variables, whereas the variation of some output variables could not be explained using the available industrial data bank. Some models were powerful in making predictions and to provide a clearer insight in determining the key factors in manufacturing of BHet. BHet is a directly modulated laser operating at 2.5 Gb/s and reaches up to 360 km. Application of this research for failure prediction at an early stage of the manufacturing line could result in a dramatic reduction in the number of defective wafers that are completely processed and thereby lowering the overall manufacturing cost.
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Ibarra, Armenta Cristina Isabel. "The role of local and regional governments in investment growth and productivity enhancement in Mexico." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6972/.

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This thesis examines the influence of local and regional governments in investment growth and productivity in Mexico. A combination of quantitative and qualitative analysis is used with the aim of assessing their influence and tools. Mexican municipalities and states have gained major participation in policy making, investment fostering and infrastructure building. The decentralised resources to meet these goals have increased considerably; as a consequence, it becomes imperative to measure the actual effects of such resources as well as to identify the opportunity areas to develop. The first part of the empirical analysis, attempts to measure the influence of local governments’ expenditures on private investment growth, as well as to identify the most important investment drivers. Likewise, given the increasing foreign investments landing in Mexico, there is a potential regional competition between cities, this is also evaluated. A panel data analysis consistent with cross section dependence is carried out for 63 Metropolitan Areas (MA)/cities for the period 1993-2008. The econometric analysis shows that, municipal governments’ expenditures have had a substantial effect on private capital. In addition, competition strategies matters. More importantly, public infrastructure stock is revealed as a central determinant for investment, especially for manufacturing firms. The second empirical chapter evaluates whether municipal and state expenditures in economic policies have boosted productivity of firms. Firms and regional features are also included in the estimation models. Panel data analysis consistent to cross section dependence is used, for 63 MA/cities and 29 states. The results showed that the policies implemented in municipalities have had little or even negative effects over firms’ productivity. Meanwhile, the policies implemented by states have had larger influence on productivity increases. In order to dig deeper into the role of local and regional governments in economic policies, two case studies –Hermosillo and Mexicali- are presented in the last part. Empirical models cannot tell about the local processes, as the data used is only expenditures. The fieldwork undertaken helped to identify the most significant policies followed in each city, as well as the leadership and organisation of stakeholders. The main finding suggests that local participation and overcoming political cycle is essential for the long-term success; and easing doing business for firms, rather than incentives, is more effective to spur private investment.
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Books on the topic "Productivity enhancement"

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Bangladesh) APO Symposium on Management and Productivity Enhancement: New Approaches (1997 Dhaka. Management and productivity enhancement: New approaches. Tokyo: Asian Productivity Organization, 1997.

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Sharda, V. N. Potential technologies for resource conservation & productivity enhancement. Dehradun: Central Soil & Water Conservation Research & Training Institute, 2009.

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Sharda, V. N. Potential technologies for resource conservation & productivity enhancement. Dehradun: Central Soil & Water Conservation Research & Training Institute, 2009.

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Sharda, V. N. Potential technologies for resource conservation & productivity enhancement. Dehradun: Central Soil & Water Conservation Research & Training Institute, 2009.

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Arthur Andersen & Co. State of New York, productivity enhancement initiative feasibility study. [New York, N.Y: A. Andersen, 1990.

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Health care finance: Economic incentives and productivity enhancement. New York: Auburn House, 1992.

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Board, Conference, ed. Performance enhancement: Harnessing potential for productivity : a research report. New York, NY: Conference Board, 1995.

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Gamakumara, Upali. Productivity enhancement: A guide book for manufacturing & service sector. Nugegoda: National Productivity Secretariat, Ministry of Productivity Promotion, 2012.

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India, Export-Import Bank of. Technological interventions in Indian agriculture for enhancement of crop productivity. Mumbai: Export-Import Bank of India, 2012.

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Canada. Agriculture Canada. Productivity enhancement program : project summaries 1984-1989 = Programme d'acroissement de la productivité : sommaires des projets, 1984-1989. Ottawa: Agriculture Canada, 1989.

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Book chapters on the topic "Productivity enhancement"

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Yeoman, David. "Certified Serum for Productivity Enhancement." In Animal Cell Technology: Basic & Applied Aspects, 359–63. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0848-5_54.

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Thomas, Robert J. "Performance and Productivity Enhancement Techniques." In Measuring Heavy Metal Contaminants in Cannabis and Hemp, 225–49. First edition. | Boca Raton : Taylor and Francis, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003004158-20.

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Robert, Thomas. "Performance and Productivity Enhancement Techniques." In Measuring Elemental Impurities in Pharmaceuticals, 221–50. Boca Raton : Taylor & Francis, 2018. | Series: Practical spectroscopy ; [v. 40]: CRC Press, 2018. http://dx.doi.org/10.1201/b21952-20.

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Jayme, David W., James M. Kubiak, and Richard M. Fike. "Productivity Enhancement Using Liquid Medium Concentrates." In Animal Cell Technology: Developments Towards the 21st Century, 199–204. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0437-1_32.

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Minemura, Takumi, Katsuhiro Nishinari, and Andreas Schadschneider. "Productivity Enhancement through Lot Size Optimization." In Lecture Notes in Computer Science, 593–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15979-4_65.

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Morais, Valter Rocha, Sérgio Dinis Teixeira de Sousa, and Isabel da Silva Lopes. "Lean Six Sigma Project for Productivity Enhancement." In Transactions on Engineering Technologies, 207–21. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1088-0_16.

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Shirahata, Sanetaka, Kiichiro Teruya, Takahiro Yano, Junko Watanabe, Hirofumi Tachibana, Hideya Ohashi, and Hiroki Murakami. "Enhancement of Cellular Productivity by Oncogene Transfection." In Animal Cell Technology: Basic & Applied Aspects, 219–24. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0848-5_32.

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Weiss, Stefan A., Stephen F. Gorfien, and David W. Jayme. "Enhancement of Biological Productivity in Serum-Free Culture." In Animal Cell Technology: Basic & Applied Aspects, 431–38. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2844-5_59.

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Ayyam, Velmurugan, Swarnam Palanivel, and Sivaperuman Chandrakasan. "Approaches in Land Degradation Management for Productivity Enhancement." In Coastal Ecosystems of the Tropics - Adaptive Management, 463–91. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8926-9_20.

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Barford, J. P., P. J. Phillips, and C. Harbour. "Enhancement of Productivity by Yield Improvements Using Simulation Techniques." In Animal Cell Technology: Basic & Applied Aspects, 397–403. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2844-5_54.

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Conference papers on the topic "Productivity enhancement"

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Currie, Peter K. "Managing Technology Development for Productivity Enhancement." In SPE European Formation Damage Conference. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/38393-ms.

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Davala, Alan, R. J. Causton, S. H. Luk, and Francis G. Hanejko. "Productivity Enhancement Through Improved Machinability Materials." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-0339.

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Garetto, Anthony, Thomas Rademacher, and Kristian Schulz. "Productivity enhancement and reliability through AutoAnalysis." In 31st European Mask and Lithography Conference, edited by Uwe F. W. Behringer and Jo Finders. SPIE, 2015. http://dx.doi.org/10.1117/12.2196651.

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Ninomiya, Shiro, Yasuharu Okamoto, Akihiro Ochi, Toshio Yumiyama, Yasuhiko Kimura, Yoshiaki Inda, and Mitsukuni Tsukihara. "SEN's SAVING techniques for productivity enhancement." In 2014 20th International Conference on Ion Implantation Technology (IIT). IEEE, 2014. http://dx.doi.org/10.1109/iit.2014.6940028.

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Spencer, John E., and Andrew Hoff. "Productivity Enhancement Through Afterglow Photoresist Removal." In 1986 Microlithography Conferences, edited by C. Grant Willson. SPIE, 1986. http://dx.doi.org/10.1117/12.963644.

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Nakayama, Shotaro, Kamel Belaid, and Tomohide Ishiyama. "3D OBC Seismic Data Acquisition Productivity Enhancement." In Abu Dhabi International Petroleum Conference and Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/160944-ms.

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Ezuka, I. O., E. E. Egbele, and M. O. Onyekonwu. "Productivity Enhancement through Single Well Numerical Modeling." In Nigeria Annual International Conference and Exhibition. Society of Petroleum Engineers, 2004. http://dx.doi.org/10.2118/88966-ms.

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Almubarak, Tariq, Jun Hong Ng, and Hisham Nasr-El-Din. "Chelating Agents in Productivity Enhancement: A Review." In SPE Oklahoma City Oil and Gas Symposium. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/185097-ms.

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Aftab, Muhammad Nadeem, Imran Qureshi, Mohammad Ashraf, Sarfraz Ahmed Bhayo, Aamir Bashir, and Abdul Salam Ali. "Gas Well Productivity Enhancement through Re-Perforation." In SPE/PAPG Annual Technical Conference. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/142833-ms.

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Cayabyab, Terry Ann C., and Cristian Rey C. Seco. "Library Productivity Enhancement Through the Use of ETD." In 4th Annual International Conference on Computer Science Education: Innovation and Technology (CSEIT 2013). Global Science and Technology Forum, 2013. http://dx.doi.org/10.5176/2251-2195_cseit13.29.

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Reports on the topic "Productivity enhancement"

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Singhal, R. K., R. J. Kolada, and T. I. Vladut. Productivity enhancement in surface mining of oil sands. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304822.

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Horowitz, Ellis. Programming Productivity Enhancement by the Use of Application Generators. Fort Belvoir, VA: Defense Technical Information Center, December 1986. http://dx.doi.org/10.21236/ada183178.

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Klingman, J., and R. Kegg. Accuracy Enhancement of High-Productivity Machine Tools Final Report CRADA No. TC-0161-91. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1430940.

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Horowitz, E. Programming Productivity Enhancement by the use of Application Generators by the Use of Application Generators. Fort Belvoir, VA: Defense Technical Information Center, June 1985. http://dx.doi.org/10.21236/ada158590.

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Volltrauer, H. Productivity Enhancement for Manufacturing of Amorphous Silicon PV Modules: Final Technical Report, 1 July 2002--30 June 2003. Office of Scientific and Technical Information (OSTI), November 2003. http://dx.doi.org/10.2172/15005824.

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Volltrauer, H., and K. Jansen. Productivity Enhancement for Manufacturing of Amorphous Silicon PV Modules: Final Technical Progress Report; 1 July 2002--31 October 2004. Office of Scientific and Technical Information (OSTI), February 2005. http://dx.doi.org/10.2172/15011472.

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Saillant, Eric, Jason Lemus, and James Franks. Culture of Lobotes surinamensis (Tripletail). Mississippi Department of Marine Resources, January 2014. http://dx.doi.org/10.18785/ose.001.

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The Tripletail, Lobotes surinamensis, is a pelagic fish found in tropical and sub-tropical waters of all oceans. Tripletails are often associated with floating debris and make frequent incursions in bays and estuaries where they are targeted by recreational fishermen. In Mississippi waters the species is typically present during the late spring and summer season that also correspond to the period of sexual maturation and spawning (Brown-Peterson and Franks 2001). Tripletail is appreciated as a gamefish but is also prized for its flesh of superior quality. The fast growth rate of juveniles in captivity documented by Franks et al. (2001) and the excellent quality of Tripletail flesh both contribute to the potential of this species for marine aquaculture. In addition, the production of cultured juveniles would be precious to develop a better understanding of the biology, early life history and habitat use of Tripletail larvae and juveniles, a topic largely undocumented to date, through experimental releases and controlled studies. The culture of tripletail thus supports the Tidelands Trust Fund Program through improved conservation of natural resources, potential enhancement of fisheries productivity and potential development of a new economic activity on the Gulf coast producing tripletail via aquaculture. The Objective of this project was to initiate development of methods and techniques needed to spawn captive held tripletail broodfish and raise their offspring to evaluate their growth and development in captivity. In this report we will present the results of studies aiming to develop methods and protocols for captive spawning of tripletail and the first data obtained on the early development of tripletail larvae. A major issue that was encountered with tripletail broodstock development during the project lied in the difficulties associated with identifying the sex of adults caught in the wild and candidates for being incorporated in mating sets for spawning. This issue was addressed during the course of the project by examining the potential of a non-lethal method of hormonal sexing. The results of these preliminary investigations are presented in the third part of this report. All protocols used in the project were determined with the guidance of the Institutional Animal Care and Use Committee (IACUC) of the University of Southern Mississippi (USM IACUC protocol number 10100108).
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