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Готові списки джерел за темами / Production management

Добірка наукової літератури з теми "Production management"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 6 вересня 2023

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Статті в журналах з теми "Production management":

1

Rajendrakumar, Shiny, V. K. Parvati, and Anandhalakshmy Ram. "Automation of Production Management System." Bonfring International Journal of Software Engineering and Soft Computing 6, special issue (October 31, 2016): 234–38. http://dx.doi.org/10.9756/bijsesc.8285.

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2

Kanabi, Idrees Sadeq, Diyar Abdulmajeed Jamil, Rozhgar Khorsheed Mahmood, Zaid Saad Ismail, Swran Jawamir Jwmaa, Saif Qudama Younus, Baban Jabbar Othman, and Muhammed Khazal Rashad. "Production Management: Analyzing the alignment of knowledge management with production management." Journal of Humanities and Education Development 4, no. 6 (2022): 22–37. http://dx.doi.org/10.22161/jhed.4.6.3.

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The development of new information in the field of project management has had a significant effect on the manufacturing industry. As a result, it is critical that service development procedures be optimized in every project. The rise in cement manufacturing production was supposed to be accomplished through the utilization of knowledge management principles and knowledge management as a mediator, which was the purpose of this research. The research was carried out across a number of different cement-producing sites in the Kurdistan area of Iraq. The researchers looked at four different aspects of knowledge management in order to determine how much production could be increased by using knowledge management. These aspects were knowledge creation, knowledge storage management, knowledge sharing, and knowledge application, with knowledge management acting as a mediator. The researchers utilized a quantitative research methodology in the form of a survey in order to carry out the current analysis that is being presented. The questionnaire was handed out in a randomized fashion to around one hundred and forty administrative staff members working for a variety of cement production enterprises in the Kurdistan area. However, the researchers did manage to gather a total of 128 completed surveys. The study employed hierarchical multiple regression analysis as well as the Sobel test in order to evaluate the research hypotheses that had been created. According to the findings, each component of knowledge management—knowledge creation, knowledge storage development, knowledge sharing, and knowledge application—had a distinct and significant positive relationship with increased production at carpet manufacturers in the Kurdistan region of Iraq. This was the case regardless of which component of knowledge management was examined. In addition, the findings indicated that all knowledge management concepts with a mediator (a project management development program) had an indirect positive and significant relationship with increased production at cement manufacturing facilities in the Kurdistan region of Iraq. The mediator in this case was the project management development program.

3

PS, Sellero. "Quality Management, Production Process, Innovation and Productivity." Open Access Journal of Waste Management & Xenobiotics 2, no. 3 (2019): 1–3. http://dx.doi.org/10.23880/oajwx-16000124.

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This paper aims to analyse quality management systems, production process, innovation and productivity of manufacturing firms. In order to obtain that, we have taken into account aspects such as product standardization, the use of quality management systems, the complexity of the production system and some con siderations on technological innovation.

4

Negru, Ion, and Radu Negru. "The interdependence between production management and logistics." Vìsnik Marìupolʹsʹkogo deržavnogo unìversitetu. Serìâ: Ekonomìka 10, no. 20 (2020): 25–30. http://dx.doi.org/10.34079/2226-2822-2020-10-20-25-30.

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Modern trends in production management have increased the importance of the time factor in both production and logistics. However, there is much less room for maneuver in production than in logistics. Therefore, to reduce the duration of the main production cycle, many companies are trying to improve intra-production logistics by introducing new technologies and logistics systems. Of decisive importance for production management is the activity of supplying the necessary materials, including logistics operations. In this context, it is worth mentioning that at the present stage the basic links between production management and logistics have been concentrated by specialists in a new field that has been defined as logistics management. According to the Council of Supply Chain Management Professionals, “Logistics management is an integration function that coordinates and optimizes all logistics activities, as well as integrates logistics activities with other functions, including marketing, sales production, finance and information technology”(Supply Chain Management Definitions and Glossary, 2020). We believe that the concept of logistics management best meets all the links between production management and logistics.

5

Mason, D. H., and J. A. Wiesenthal. "Production Computing Management." SPE Computer Applications 3, no. 03 (May 1, 1991): 21–27. http://dx.doi.org/10.2118/20340-pa.

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6

Polyakov, S., and P. Vershinin. "Production management fibreboard." Актуальные направления научных исследований XXI века: теория и практика 3, no. 5 (December 2, 2015): 390–94. http://dx.doi.org/10.12737/16286.

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7

Guigues, Vincent. "Robust production management." Optimization and Engineering 10, no. 4 (April 24, 2009): 505–32. http://dx.doi.org/10.1007/s11081-009-9086-2.

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8

Salama, Mamdouh M. "Sand Production Management." Journal of Energy Resources Technology 122, no. 1 (December 1, 1999): 29–33. http://dx.doi.org/10.1115/1.483158.

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Sand production may be inevitable in many fields that have a relatively low formation strength. Sand erosion and settling predictions and sand monitoring are important elements of any effective sand production management strategy. Sand erosion predictions are used to establish tolerable sand production rates, and, thus, well productivity, and to develop cost-effective inspection frequency for critical components. Prediction of critical flow rate to prevent sand settling is important for flowlines that are not designed for pigging. Quantitative sand monitoring is essential in verifying the effectiveness of sand control procedures and in generating an important input parameter for erosion and sand settling predictions. This paper presents equations for predicting sand erosion rate and sand settling flow rate, and assesses the accuracy of these equations. In addition, the paper presents an assessment of the sensitivity of commercially available nonintrusive acoustic and intrusive electrical resistance sand monitors. [S0195-0738(00)00201-6]

9

Prosvirina, N. V., A. I. Tikhonov, and H. I. Okagbue. "Lean Production Principles in Production Management." Russian Engineering Research 41, no. 12 (December 2021): 1263–68. http://dx.doi.org/10.3103/s1068798x21120352.

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10

Teles, Eduardo Oliveira, Ana Paula Maia Tanajura, Francisco Gaudêncio Mendonça Freires, and Ednildo Andrade Torres. "Reactivation of Mature Oilfields: A Multifaceted Production Management." International Journal of Materials, Mechanics and Manufacturing 4, no. 1 (2015): 36–39. http://dx.doi.org/10.7763/ijmmm.2016.v4.221.

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Дисертації з теми "Production management":

1

Hilger, Jean. "Production management language." Strasbourg 1, 1990. http://www.theses.fr/1990STR10016.

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2

Awaritoma, Oghenefejiro. "Performance Management in Lean Production." Thesis, Linnéuniversitetet, Ekonomihögskolan, ELNU, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-9005.

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Background: Lean production and performance management are very important aspect in the production process because when activities that do not add value to a product are not reduced or eliminated it would amount to waste which would eventually result to unnecessary cost for the organization. Thus it is vital to have the right performance management system in place to control of the organization. Objectives: The purpose of this thesis is to first identify the different types of production wastes evident in the production process of the case companies and how these waste have been reduced or eliminated. As the management of performance in lean production is very important, the second objective of this study is find out how these companies are currently managing performance in lean production in comparison with the performance management systems model Method: This is a multiple-case study with systematic combining approach as the orientation. Interview and documents are the instruments of data collection. Empirical data from each case has been analyzed based on cross and within case analysis. Construct validity, external validity, and reliability are the basis for scientific credibility of this thesis. Conclusions: Not all types of production wastes are evident in all the case companies studied due to one reason or the other. In reducing or eliminating these wastes, they have adopted different lean principles based on their product type. When it comes to managing performance in lean production it is clear that each of the case company adopts almost similar performance management systems although they have adopted different approach. Suggestions for future research: It would be interesting to undergo a similar research in the service sector to see if the findings arrived would be the same or if it will lead to contradictory results. Additionally, since the main focus was on performance in within the studied case companies, it would be interesting to see the outcome of how performance management between these companies and their external suppliers would turn out.

3

Ilar, Torbjörn. "Production simulation as a management tool /." Luleå : Division of Manufacturing Systems Engineering, Department of Applied Physics and Mechanical Engineering, Luleå University of Technology, 2008. http://epubl.luth.se/1402-1544/2008/07.

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4

Svinurai, Walter. "Manure production and nutrient management in pasture-based dairy production systems." Thesis, University of Fort Hare, 2010. http://hdl.handle.net/10353/475.

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Manure production and nutrient management in pasture-based dairy production systems by Walter Svinurai The effect of dietary treatments on nutrient excretion was determined and an attempt to improving the retention of excreted nitrogen in stored manure using Aloe ferox leaf gel (AFLG) and pine bark was conducted at a pasture-based dairy farm. The animal mass-balance method was used to determine nutrient excretion by cows fed on three dietary treatments, Lolium perrene-based treatment (LP), Lolium multiforium-based treatment (LM) and Lolium perenne- Trifolium repens -based treatment (LTF). In separate experiments, slurry from dairy cows fed LM was amended with AFLG and pine bark at concentrations of 25, 50, 75 and 100 g/l and stored under anaerobic conditions for 16 days. The highest and lowest excretions of N, P and K were observed in LM and LP treatments, respectively. Increasing dietary N improved K and N retention in milk and, consequently increased milk urea nitrogen (MUN) and N excretion (P < 0.05). The concentrations of AFLG affected N and P retention in manure (P < 0.05). The highest retention in total Kjeldahl nitrogen (TKN) of the initial was 42% AFLG at 25g/l inclusion rate. Ammonium nitrogen (AMN) concentration increased significantly due to the interactive effect of AFLG inclusion rate and time. Pine bark powder significantly improved N and P retention in manure at all concentrations. The retention in TKN was higher (P < 0.05) at 25g/l pine bark powder than other concentrations. The interaction effect of inclusion rate and time increased iii AMN (P < 0.05). Dietary treatments significantly affected nutrient excretion, and AFLG and pine bark considerably improved N retention in stored slurry. Findings from the filed trial suggest the need for more attention on managing dietary nutrients in the post-rainy and cool-dry season when growth of pasture influenced choice of dietary treatments that led to high nutrient excretion. Field simulation of the additives to determine their efficacy and environmental hazards was recommended.

5

Luo, Jia Le. "Integration of knowledge management and enterprise resource planning for advanced production management." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2493690.

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6

Silegren, K. (Krista). "Research production or productive research?:strategic management and performance measurement in University of Oulu." Master's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201801101027.

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This thesis explores the strategy and its management at the University of Oulu in relation to the political and legal guidance. Conflicting interests inside the organization are also examined. In order to combine both internal and external pressure mechanisms on strategic management and performance measurement, the institutional perspective is needed. Neoinstitutional theory with mechanisms of institutional isomorphism provide framework for understanding what pressure mechanisms affect the most on universities as an organization. In strategic management, attention is also paid to how the strategy is implemented and how the strategic performance is monitored in case university. Thesis is executed as qualitative case study which aims to describe how the external pressure mechanisms for institutional isomorphism a) materialize in the strategic management and b) reflect on the performance measurement criteria of University of Oulu. The analysis was primarily based on three managerial documents. Complementing information was acquired through interviewing the person responsible for these managerial documents, university intranet and official publications. The analysis was carried out as theory-grounded content analysis. The data was coded in theory-based categories: coercive / regulative, mimetic / cultural-cognitive and normative. As a result of analysis it can be stated that institutional isomorphism is materialized in the case of University of Oulu through all three aforementioned mechanisms. The coercive features are based on University law, MCE funding criteria, MCE performance agreement and other laws or regulations. The mimetic features are related to organization structure, management frameworks, monitoring systems and other things, for example profiling. The normative features are rooted in academic profession, social obligations, recruiting and accreditation. The most visible finding regarding the performance measurement were a) strong influence of coercive mechanism through MCE funding criteria, which shows as almost complete copying of funding criteria to be used as performance measurement indicators in strategic management b) the need to further develop the PM system. The findings of this study are from many parts in accordance with previous studies utilizing the same framework in university context and are considered reliable. However further conclusions about how the institutional isomorphism influences other universities’ strategic management and performance measurement cannot be drawn based on this case study. Thus more research is needed on how the universities form, implement and monitor their strategies under the effect of different external and internal pressures.

7

Rauton, Susannah R. W. "Soil fertility management in organic vegetable production." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1193080187/.

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8

Broughton, Stephen R. (Stephen Russell). "Water table management strategies for soybean production." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60658.

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A field lysimeter experiment was conducted on a sandy loam soil during the growing seasons of 1989 and 1990. The experiment tested the effects of four water table treatments on soybean (Glycine max) yields. The water table depths were 40, 60, 80, and 100 cm in depth.
Yields were measured in terms of: total seed mass per plant, number of seeds per plant, number of pods per plant, number of seeds per pod, and speed protein content at harvest.
The water management simulation model DRAINMOD, was used to develop irrigation and drainage strategies for soybean production. Three water table management methods were tested with each of three water table depths. The methods were conventional drainage, controlled drainage, and subirrigation, and the water table depths were 40, 60, 80, and 100 cm.
It was shown that for the driest year highest yields are obtained with subsurface irrigation and a weir setting of 40 cm. For the average year, highest yields are obtained with subirrigation and a 60 cm weir setting. For the wet years, best results are found when controlled drainage is used with 80 cm weir setting. It was found that in all but the driest and wettest years controlled drainage improved yields by 10% or more.

9

Baxendale, Anthony Thomas. "Construction management information systems for production control." Thesis, University of the West of England, Bristol, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334455.

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10

Smith, Stephen E. "Process management applications in biopharmaceutical drug production." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66048.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 71-73).
Genzyme's manufacturing and supply chain organization is responsible for the production and delivery of medically necessary medicines for patients with rare diseases around the world. Because of the nature of the products produced at Genzyme, a lapse in operational performance has societal as well as economic impacts. Therefore increased understanding of the complex production systems at Genzyme is helpful to reduce risk and improve performance. This thesis is an analysis of a system of two critical production processes at Genzyme. These processes are studied collectively because shared resources make them a tightly coupled system. The research is presented in three sections. The first section explores the current state of the system and explains general performance trends. The second section examines the impact of scheduling complexity arising from shared resources. The third section discusses how process improvement methodologies could be applied at Genzyme. The following conclusions arise from the work conducted for this thesis. First, the performance of the system has declined due to an increase in utilization and an already high level of variability. Second, variability caused by shared resource conflicts can be minimized using new scheduling techniques. And finally, continuous improvement methods are recommended to further reduce variability and increase overall process performance.
by Stephen Smith.
S.M.
M.B.A.

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Книги з теми "Production management":

1

Prasad, Lallan. Production management. 2nd ed. New Delhi: Sterling, 1985.

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2

Brunner, Franz J. Japanische Erfolgskonzepte: KAIZEN, KVP, Lean Production Management, Total Productive Maintenance, Shopfloor Management, Toyota Production Management. Mu nchen: Hanser, 2008.

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3

Clevé, Bastian. Film production management. 3rd ed. Amsterdam: Elsevier, 2006.

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4

Cleve, Bastian. Film Production Management. Edited by Bastian Clevé. Fourth edition. | New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315223186.

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5

O'Brien, M. Software production management. Manchester: NCC Blackwell, 1992.

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6

Stevenson, William J. Production/operations management. Toronto: McGraw-Hill Ryerson, 2001.

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7

Morton, Thomas E. Production operations management. Cincinnati, OH: South-Western College Pub., 1999.

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8

Mertins, Kai, Oliver Krause, and Burkhard Schallock, eds. Global Production Management. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35569-6.

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9

Stevenson, William J. Production/operations management. 4th ed. Homewood, IL: Irwin, 1993.

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10

Stevenson, William J. Production/operations management. 6th ed. Boston: Irwin/McGraw-Hill, 1999.

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Частини книг з теми "Production management":

1

Witzel, Morgen. "Production." In Management, 128–50. 2nd ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003171720-6.

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2

Lukefahr, Steven D., James I. McNitt, Peter R. Cheeke, and Nephi M. Patton. "Rabbit management." In Rabbit production, 60–82. 10th ed. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781789249811.0005.

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Abstract This chapter describes the behaviour, handling, breeding, mating, pregnancy, pregnancy diagnosis, reproductive diseases, kindling, housing, mortality, feeding, mortality and marking of rabbits in production systems.

3

Gao, Shang, and Sui Pheng Low. "Production Management." In Lean Construction Management, 11–25. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-287-014-8_2.

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4

Bredrup, Reinholdt. "Production Management." In Performance Management, 307–45. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-1212-3_15.

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5

Boehme, Richard. "Production Management." In Careers in Food Science: From Undergraduate to Professional, 1–7. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-77391-9_19.

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6

Krein, Joel, and Michael Pelton. "Production Management." In Careers in Food Science: From Undergraduate to Professional, 167–76. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14353-3_15.

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7

Weik, Martin H. "production management." In Computer Science and Communications Dictionary, 1344. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_14797.

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8

Singhal, Jaya, Gabriel R. Bitran, and Sriram Dasu. "Production Management." In Encyclopedia of Operations Research and Management Science, 1173–82. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_812.

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Mueller, Frederick Wm. "Production Management." In Integrated Cost and Schedule Control for Construction Projects, 357–73. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4615-9750-6_23.

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Doherty, Matt. "Production Management." In Production Management in Live Music, 5–10. New York: Focal Press, 2021. http://dx.doi.org/10.4324/9781003231349-3.

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Тези доповідей конференцій з теми "Production management":

1

Hintermaier, R. W. "Production Water Management." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/38798-ms.

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2

Salama, Mamdouh M. "Sand Production Management." In Offshore Technology Conference. Offshore Technology Conference, 1998. http://dx.doi.org/10.4043/8900-ms.

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3

Podio, A. L., J. N. McCoy, Dieter Becker, Lynn Rowlan, and Bill Drake. "Total Well Management II." In SPE Production and Operations Symposium. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/67273-ms.

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4

Dmitrievskii, B. S., I. A. Kanavalov, M. V. Lemkina, and N. A. Nesterov. "Production schedule management system." In ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ. НИЦ «Л-Журнал», 2019. http://dx.doi.org/10.18411/lj-03-2019-147.

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5

Mochizuki, Satoshi. "Gas Production Management Options." In Latin American and Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers, 1999. http://dx.doi.org/10.2118/53827-ms.

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6

Butler, T. G., R. C. Hedges, L. Gonsalves, and N. S. Bowlin. "A Management System for Gas-Gathering Systems." In SPE Production Operations Symposium. Society of Petroleum Engineers, 1991. http://dx.doi.org/10.2118/21726-ms.

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Chmiel, M. T., and V. Yargeau. "Biohydrogen production byClostridium beijerinckii." In WASTE MANAGEMENT 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/wm080141.

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8

Fatnani, Ashish, Joseph Nwachukwu, and Felor Makhmoor. "Operations Management Dashboards: A Production Life Cycle Management Study." In SPE Symposium: Production Enhancement and Cost Optimisation. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/189214-ms.

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9

Tarmoom, Ihaab Othman, and Ayyaz Khan. "Efficient Management of Production Losses to Increase Production." In Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers, 2006. http://dx.doi.org/10.2118/100754-ms.

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10

Winkler, William R., Bruce H. Hesson, and Mark A. Shemaria. "Pipeline Management Program." In SPE/EPA Exploration and Production Environmental Conference. Society of Petroleum Engineers, 1999. http://dx.doi.org/10.2118/52698-ms.

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Звіти організацій з теми "Production management":

1

Jones, Albert, and Charles McLean. Production management standards:. Gaithersburg, MD: National Institute of Standards and Technology, 1997. http://dx.doi.org/10.6028/nist.ir.6058.

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2

LeCapitaine, Christophe, Frank Riddick, and Albert Jones. Production Management Standards:. Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6123.

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3

Guo, Y., A. Mazzacane, M. Mengel, V. Podstavkov, M. Vittone-Wiersma, and S. White. Production Operations Management System. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1630712.

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4

Owen, Michael D., James F. Lux, and Damian D. Franzenburg. Weed Management in Soybean Production. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-294.

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5

SRI INTERNATIONAL MENLO PARK CA. Maintenance Production Management AFSC 2R1X1. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada387678.

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6

Owen, Michael D., James F. Lux, and Damian D. Franzenburg. Weed Management Strategies in Soybean Production. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-1215.

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7

Owen, Michael D., James F. Lux, and Damian D. Franzenburg. Weed Management in No-tillage Corn Production. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-813.

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8

Fultonberg, D. N. Accelerator Production of Tritium PPO Management Plan. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/763156.

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9

Olsen, B. Accelerator Production of Tritium Software Management Plan. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/763183.

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10

Lopez-Barlow, Jacquelyn. Production Agency Quality Assurance Management Execution Strategy. Office of Scientific and Technical Information (OSTI), April 2022. http://dx.doi.org/10.2172/1864975.

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