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Journal articles on the topic 'Productivity enhancement'

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

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1

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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6

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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8

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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11

Nachlas, Joel A. "Productivity Enhancement Using Analytically Based Maintenance Planning." IFAC Proceedings Volumes 31, no. 15 (June 1998): 975–79. http://dx.doi.org/10.1016/s1474-6670(17)40678-1.

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12

Gawankar, M. S., M. M. Kulkarni, P. M. Haldankar, and B. R. Salvi. "Technologies for Cashew productivity enhancement in Maharashtra." emergent Life Sciences Research 06, no. 02 (2020): 05–12. http://dx.doi.org/10.31783/elsr.2020.620512.

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Ramanna, Luveshan, Ismail Rawat, and Faizal Bux. "Light enhancement strategies improve microalgal biomass productivity." Renewable and Sustainable Energy Reviews 80 (December 2017): 765–73. http://dx.doi.org/10.1016/j.rser.2017.05.202.

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Abolhassani, Amir, and Majid Jaridi. "Productivity enhancement in North American automotive industry." International Journal of Productivity and Performance Management 65, no. 8 (November 14, 2016): 1112–36. http://dx.doi.org/10.1108/ijppm-08-2015-0117.

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Purpose The purpose of this paper is to identify effective factors, their impact, and find estimation models of the most well-known productivity measurement, hours-per-vehicle (HPV), in the automotive industry in North American manufacturing plants. Design/methodology/approach Data used in this study were from North American plants that participated in the Harbour’s survey from 2002 to 2006. Data are synthesized using a uniform methodology from information supplied by the plants and supplemented with plant visits by Harbour Consulting auditors. Overall, there are 355 manufacturing plants in the statistical sample from ten different automakers’ brands including DCX, Ford, GM, Honda, Cami, Nummi, Auto Alliance, Mitsubishi, Nissan, and Toyota. The multiple linear regression was used to analyze the data and derive the HPV regression equations. Findings HPV is a widely recognized production performance indicator that is used by a significant percentage of worldwide automakers. During the study period, the HPV was reduced 54.75 minutes on average in each year. Annual production volume, platform sharing (PS), and flexible manufacturing (FM) factors improve HPV. However, vehicle variety, salaried employees’ percentage of the workforce, available annual working days, and launching a new model penalize HPV. Launching a new model and adding a new variety in body styles or chassis configurations raise the HPV about 2.189 and 0.642 hours, respectively, depending on the car class; however, manufacturing plants compensate for this issue by using PS and FM strategies. Research limitations/implications The plants which stopped production of a specific product also are included in this study and were treated similar to the regular plants. The medium duty segment was excluded from the data set due to the fact that the number of observations available was too low. The study can be repeated with additional new factors such as the level of plants’ automation and lean manufacturing either for North American or European companies. Originality/value The research investigates current strategies that help automakers to enhance their production performance and reduce their productivity gap. HPV regression equations that are provided in this research may be used effectively to help car makers to set guidelines to improve their productivity with respect to internal and external constraints, strength, weakness, opportunities, and threats.
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Raouf, Abdul. "Productivity enhancement using safety and maintenance integration." Kybernetes 33, no. 7 (August 2004): 1116–26. http://dx.doi.org/10.1108/03684920410534452.

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Lundberg, Craig C. "Productivity Enhancement Through Managing the Service Encounter." Hospitality Research Journal 14, no. 3 (August 1990): 63–71. http://dx.doi.org/10.1177/109634809101400307.

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17

Savery, Lawson K., and Geoffrey N. Soutar. "The Effects of Productivity Enhancement: Some Community Views." Economic and Labour Relations Review 3, no. 1 (June 1992): 177–87. http://dx.doi.org/10.1177/103530469200300111.

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The need to improve workplace performance and productivity is a commonly expressed view. This paper reports on community perception of productivity. It suggests that workers' negative perceptions regarding a distribution of the benefits of productivity may act as a barrier to productivity enhancement.
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18

Al-Sulbi, Ali O. "Exploration of Ecological Footprint in the Kingdom of Saudi Arabian Developed Waterfronts: The Case of King Abdullah Seafront Park (KASP) – Dammam." Open Ecology Journal 11, no. 1 (November 9, 2018): 75–85. http://dx.doi.org/10.2174/1874213001811010075.

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Background:Sustainable development identifies the requirements for the environmental enhancements while preserving a balance among environmental factors. Sustainable integrated systems reinforced or promoted the persistence of the structural and operational components into the natural component.Objective:The study aims to apply a modified ecological footprint model to assess how much the ecosystem functions were affected by the development of urban waterfronts in the Kingdom of Saudi Arabia.Methods:A modified ecological footprint model has been applied to assess the outcomes obtained from the ecosystem functions of urban waterfronts.Results:The study revealed alteration or embedment of natural processes in all developed urban waterfronts; leading to loss of biodiversity, diminishment of site productivity, and increase of hidden costs regarding maintenance and replacement. It has positive performance in biodiversity enrichment, continuous productivity, maintenance and enhancement of natural physical and biological processes.Conclusion:The sustainable designs for urban waterfronts should aiming for the enhancement of natural processes for the productivity of coastal areas.
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19

Ileo, Michael J., and Steven R. Eastaugh. "Health Care Finance: Economic Incentives and Productivity Enhancement." Journal of Risk and Insurance 60, no. 4 (December 1993): 691. http://dx.doi.org/10.2307/253391.

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20

Velmurugan, V., Senthil Kumaran, Niranjan Prabhu, and K. Srithar. "Productivity enhancement of stepped solar still: Performance analysis." Thermal Science 12, no. 3 (2008): 153–63. http://dx.doi.org/10.2298/tsci0803153v.

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Maintaining minimum depth in conventional basin type solar still is difficult, as the area is large. However this can be achieved in stepped solar still in which the area of the basin is minimized by having small trays. Very few works have been carried so far in stepped solar still and constant depth trays are used in the basin plate. In this work, a stepped still with two different depth of trays are used. The basin plate contains twenty five trays with 10 mm depth and twenty five trays with 5 mm depth. To improve the productivity, experiments were carried out by integrating small fins in basin plate and adding sponges in the trays. Theoretical and experimental analyses are made for fin type, sponge type, and combination of fin and sponge type stepped solar still. When the fin and sponge type stepped solar is used, the average daily water production has been found to be 80% higher than ordinary single basin solar still. The theoretical results agree well with the experimental. Also an economic analysis was made. The payback period of this setup is 400 days.
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Salah, S., and N. Sobhi. "PRODUCTIVITY ENHANCEMENT THROUGH LEAN IMPLEMENTATION – A CASE STUDY." International Conference on Applied Mechanics and Mechanical Engineering 18, no. 18 (April 1, 2018): 1–14. http://dx.doi.org/10.21608/amme.2018.34998.

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Berman, Evan M., and Jonathan P. West. "Productivity Enhancement Efforts in Public and Nonprofit Organisations." Public Productivity & Management Review 22, no. 2 (December 1998): 207. http://dx.doi.org/10.2307/3381033.

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23

Paschke, N., and D. Taylor. "Solid/Liquid Separation: Waste Management and Productivity Enhancement." Journal of Environmental Quality 20, no. 2 (April 1991): 497–98. http://dx.doi.org/10.2134/jeq1991.00472425002000020029x.

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Dittmer, Howard, and Xiaoping Jia. "Programmer Productivity Enhancement Through Controlled Natural Language Input." International Journal of Software Engineering & Applications 11, no. 3 (May 31, 2020): 1–18. http://dx.doi.org/10.5121/ijsea.2020.11301.

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Gupta, Deepak, Bhaskaran Gopalakrishnan, and Hima Bindu Godavarthy. "Energy Conservation through Productivity Enhancement in Manufacturing Facilities." SAE International Journal of Materials and Manufacturing 1, no. 1 (April 14, 2008): 600–611. http://dx.doi.org/10.4271/2008-01-1164.

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Cheong, Man Sheel, Dong-Woo Cho, and Kornel F. Ehmann. "Identification and control for micro-drilling productivity enhancement." International Journal of Machine Tools and Manufacture 39, no. 10 (October 1999): 1539–61. http://dx.doi.org/10.1016/s0890-6955(99)00019-x.

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Weiss, David L., and Curtis P. Langlotz. "Structured Reporting: Patient Care Enhancement or Productivity Nightmare?" Radiology 249, no. 3 (December 2008): 739–47. http://dx.doi.org/10.1148/radiol.2493080988.

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Katemukda, Nichanach, Hanna Kropsu Vehkapera, Narongsak Comepa, and Prapaisri Sudasna na Ayudthya. "Productivity enhancement through intellectual capital and information technology." International Journal of Management and Enterprise Development 17, no. 3 (2018): 267. http://dx.doi.org/10.1504/ijmed.2018.10014493.

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Chee, Wong Tai. "Workforce Productivity Enhancement and Technological Upgrading in Singapore." Asean Economic Bulletin 14, no. 1 (July 1997): 46–56. http://dx.doi.org/10.1355/ae14-1d.

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Rajan, A. John, E. V. V. Ramanamurthy, Rajdeep Nath, and Prashant Kumar. "Productivity enhancement by component-oriented line balancing method." International Journal of Industrial and Systems Engineering 29, no. 1 (2018): 31. http://dx.doi.org/10.1504/ijise.2018.091432.

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Kumar, Prashant, Rajdeep Nath, A. John Rajan, and E. V. V. Ramanamurthy. "Productivity enhancement by component-oriented line balancing method." International Journal of Industrial and Systems Engineering 29, no. 1 (2018): 31. http://dx.doi.org/10.1504/ijise.2018.10012474.

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Gnanadason, M. Koilraj, P. Senthil Kumar, Vincent H. Wilson, and A. Kumaravel. "Productivity enhancement of a-single basin solar still." Desalination and Water Treatment 55, no. 8 (June 19, 2014): 1998–2008. http://dx.doi.org/10.1080/19443994.2014.930701.

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Abolhassani, Amir, James Harner, Majid Jaridi, and Bhaskaran Gopalakrishnan. "Productivity enhancement strategies in North American automotive industry." International Journal of Production Research 56, no. 4 (August 20, 2017): 1414–31. http://dx.doi.org/10.1080/00207543.2017.1359700.

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Singh, Gurbaksh, R. M. Kothari, Rajesh K. Sharma, and V. Ramamurthy. "Enhancement ofSpirulina biomass productivity by a protein hydrolysate." Applied Biochemistry and Biotechnology 50, no. 3 (March 1995): 285–90. http://dx.doi.org/10.1007/bf02788098.

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Khalid, Muhammad Nouman. "Genetics of Inter Cropping for Crop Productivity Enhancement." Current Research in Agriculture and Farming 2, no. 4 (August 30, 2021): 40–45. http://dx.doi.org/10.18782/2582-7146.153.

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Inter cropping which is also known as mixed cropping has ability of increasing usage of nutrient and water efficiently, enhancing crop productivity, and plasticity to abiotic and biotic stress resulted by change in climate. In this agroecological farming method, two or more crops are cultivated together on the same farm area. Cereal with legume is a common combination. Crop selection is not profitable unless characteristics useful in intercrops, such as intercropping in legume and cereal cultivars, are considered. Inter cropping can result in enhanced soil fertility and structure, improved weed suppression, the conservation of soil moisture, and comparatively better control of diseases and pests, resulting greater yield and increased profitability. The biggest benefit of intercropping systems is the fact that they combine above-ground and below-ground benefits: these benefits include both short and tall plant components, which helps them to harness sunlight for photosynthesis, as well as deep and shallow rooted plant components, which assists them in using water and nutrients for crop production. Intercropping is popular in areas of the world including China, Mali, Indonesia, India, Ethiopia, and Niger due to its high growing popularity in agriculture. General & Specific Combining Ability principles in hybrid breeding have been applied for crop combinations and cultivars, and their impacts are recognized as General/ Specific Mixing Ability. The other considerable advantages of intercropping include greater land use efficiency, competitive ability towards weed, favorable exudates from the component legumes, and greater yield stability which cannot be achieved in monocropping. Plant breeding enables intercropping systems to better use their genetic diversity by conducting plant breeding research and harnessing this variability to cross-crop adaptability. High labor inputs in harvesting, higher cost of maintenance and reduction of the main crop are some disadvantages of intercropping.
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Singh, Satbir, and Sandeep Singhal. "Productivity Betterment." International Journal of Productivity Management and Assessment Technologies 6, no. 2 (July 2018): 1–18. http://dx.doi.org/10.4018/ijpmat.2018070101.

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This article describes how instant research explicates the features, analogy, and principles, of manufacturing productivity management in contemporary industrial arenas. It is exceedingly necessary to increase manufacturing production to improve productivity of the company. Current research provides a substitute way-out to optimize the material and workforce resources available in the plant. The authors proposed the implementation of clustering concept with improved tooling for manufacturing. The intended approach stimulated productivity growth by using improved production facilities, which resulted in reduced monthly rejections arising out of manufacturing's critical component. Component production cost was reduced through the use of curbing cycle time. The implementation study magnificently contributed towards productivity enhancement by producing more with less resource input. The experimentation recorded an increase of over16% in monthly production by dint of curtailed cycle time. An average gain of 5.27% in total productivity was achieved.
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Sari, Lala Intan Gemala, Meizul Zuki, and Yusril Dany. "WORK PRODUCTIVITY ENHANCEMENT IN HOME INDUSTRY PIA CAKE ”XYZ”." Jurnal Agroindustri 3, no. 1 (May 29, 2013): 31–44. http://dx.doi.org/10.31186/j.agroind.3.1.31-44.

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The research objective is to obtain the new method with highest productivity; determine the normal and basis hour in order to get the best working hour with highest productivity; and to determine number of worker need in each section based on its workload to get the balance in production line. Time measurement was done using a technique based on stopwatch and workload measurement analysis method. The balancing of production line was done by trial and error method. Initial conditions in production line indicate an imbalance with 2312,18 seconds idle time, 51,60% efficiency of production line and 48,39% balance delay. The balancing of production line resulted 1585,77 seconds of idle time, 45% efficiency of production line and 55% balance delay. There are eight permanent workers in this home industry with labor productivity at station I is 6,42% units / man-hour before repairs and 8,57% units / man-hour after repairs, resulted the increase in productivity by 33,48%. Labor productivity at station II, III and IV before repairs is 87,5% and after repairs is 116,62% resulted the increase in labor productivity by 33,28%.
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Saginaw, David J. "Implementation of an Integrated Fabrication Control Philosophy in a Modernized Shipyard Pipe Shop." Journal of Ship Production 2, no. 01 (February 1, 1986): 46–55. http://dx.doi.org/10.5957/jsp.1986.2.1.46.

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In October 1983, National Steel and Shipbuilding Company, as part of a yard-wide advanced technology implementation program, initiated a project to modernize its existing pipe fabrication operation. The modernization included facility enhancement and equipment acquisition, and involved the implementation of an integrated manufacturing control philosophy beginning in design and employing principles of group technology with respect to pipe fabrication. The paper summarizes the efforts associated with the pipe fabrication modernization project by tracing the facility enhancement from the initial feasibility studies to detailed shop layout and by describing the operating procedures currently being implemented in the pipe shop to support an integrated manufacturing control philosophy. An assessment of the favorable impact on productivity of the new facility and methodology is discussed as well as several facility and technology enhancements identified as appropriate steps to further improvement in pipe fabrication productivity.
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SUGISAKI, Koichi, Masato ABE, Pang-jo CHUN, Takashi MIYAMOTO, and Kei KAWAMURA. "ENHANCEMENT OF PRODUCTIVITY IN INFRASTRUCTURE MAINTENANCE THROUGH ARTIFICIAL INTELLIGENCE." Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE)) 76, no. 2 (2020): 197–211. http://dx.doi.org/10.2208/jscejseee.76.2_197.

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Vijayakumar, M., M. Thirunavukkarasu, R. Dhanasekara Pandian, and P. P. Mahendran. "Enhancement of Sugarcane Productivity through STCR based Balanced Fertilization." International Journal of Current Microbiology and Applied Sciences 9, no. 5 (May 10, 2020): 3433–49. http://dx.doi.org/10.20546/ijcmas.2020.905.408.

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Charles, Vincent, Tatiana Gherman, and Carlos Paliza. "Stakeholder Involvement for Public Sector Productivity Enhancement: Strategic Considerations." Public Enterprise Half-Yearly Journal 24, no. 1 (April 15, 2019): 77–86. http://dx.doi.org/10.21571/pehyj.2019.2401.05.

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Giridhar, R., and A. K. Srivastava. "Productivity enhancement in l-sorbose fermentation using oxygen vector." Enzyme and Microbial Technology 27, no. 7 (October 2000): 537–41. http://dx.doi.org/10.1016/s0141-0229(00)00252-0.

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Pritchard, Robert D., Melissa M. Harrell, Deborah DiazGranados, and Melissa J. Guzman. "The productivity measurement and enhancement system: A meta-analysis." Journal of Applied Psychology 93, no. 3 (2008): 540–67. http://dx.doi.org/10.1037/0021-9010.93.3.540.

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Menelaou, Angelos, and Ioannis Violaris. "Enhancement of productivity through an integrated crew management system." Higher Education, Skills and Work-Based Learning 2, no. 2 (May 18, 2012): 201–15. http://dx.doi.org/10.1108/20423891211224829.

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Bittinger, Raymond E. "Organization value analysis and opportunity review for productivity enhancement." National Productivity Review 6, no. 3 (1987): 250–56. http://dx.doi.org/10.1002/npr.4040060307.

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Qadir, M., A. Tubeileh, J. Akhtar, A. Larbi, P. S. Minhas, and M. A. Khan. "Productivity enhancement of salt-affected environments through crop diversification." Land Degradation & Development 19, no. 4 (July 2008): 429–53. http://dx.doi.org/10.1002/ldr.853.

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Abdallah, S., and O. O. Badran. "Sun tracking system for productivity enhancement of solar still." Desalination 220, no. 1-3 (March 2008): 669–76. http://dx.doi.org/10.1016/j.desal.2007.02.047.

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Naik, Saurabh, Gabriel Malgaresi, Zhenjiang You, and Pavel Bedrikovetsky. "Well productivity enhancement by applying nanofluids for wettability alteration." APPEA Journal 58, no. 1 (2018): 121. http://dx.doi.org/10.1071/aj17149.

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Water blocking is a frequent cause for gas productivity decline in unconventional and conventional fields. It is a result of the capillary end effect near the wellbore vicinity. It creates significant formation damage and decreases gas well productivity. The alteration of the rock wettability by nanofluids is an effective way to reduce water blockage and enhance gas production. Presently, several types of surfactants and nanofluids are used in the industry for contact angle alteration. In this study, we developed an analytical model and analysed the sensitivity to several parameters. After the treatment, the porous medium in the well vicinity (or along the core) will have a stepwise constant contact angle profile. We derive analytical models for compressible steady-state two-phase linear and axi-symmetric flows, accounting for the piecewise-constant contact angle and contact-angle-dependent capillary pressure and relative permeability. The modelling reveals a complex interplay between the competing effects of compressibility, viscous and capillary forces, which influence the optimal contact angle for treatment. The optimal contact angle for treatment will depend on the initial wettability of the formation, the water cut and the capillary-viscous ratio.
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Chopra, Amit, Anish Sachdeva, and Arvind Bhardwaj. "Productivity enhancement using reliability centred maintenance in process industry." International Journal of Industrial and Systems Engineering 23, no. 2 (2016): 155. http://dx.doi.org/10.1504/ijise.2016.076397.

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50

Bazzicalupo, Marco, Marco Galardini, Patrizia Bogani, and Alessio Mengoni. "Exploiting symbiotic genomes for the enhancement of legume productivity." Journal of Biotechnology 161 (November 2012): 10. http://dx.doi.org/10.1016/j.jbiotec.2012.07.180.

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