Academic literature on the topic 'Sequencing of the production'

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Journal articles on the topic "Sequencing of the production"

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SCHRANER, ERIKA, and WARREN H. HAUSMAN. "Optimal production operations sequencing." IIE Transactions 29, no. 8 (August 1997): 651–60. http://dx.doi.org/10.1080/07408179708966375.

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Joe, W. Q. "Sequencing and interleaving in routineaction production." Neurocase 8, no. 1 (February 1, 2002): 150. http://dx.doi.org/10.1093/neucas/8.1.150.

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Asad, Mohammad Waqar Ali. "Multi-period quarry production planning through sequencing techniques and sequencing algorithm." Journal of Mining Science 44, no. 2 (March 2008): 206–17. http://dx.doi.org/10.1007/s10913-008-0034-x.

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Grabowski, Jozef, and Jaroslaw Pempera. "Sequencing of jobs in some production system." European Journal of Operational Research 125, no. 3 (September 2000): 535–50. http://dx.doi.org/10.1016/s0377-2217(99)00224-6.

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KASPI, M., and T. RAZ. "Optimal sequencing of production and inspection operations." International Journal of Production Research 32, no. 1 (January 1994): 209–21. http://dx.doi.org/10.1080/00207549408956924.

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Joe, Wilson Q., Mary Ferraro, and Myrna F. Schwartz. "Sequencing and Interleaving in Routine Action Production." Neurocase 8, no. 1-2 (February 2002): 135–50. http://dx.doi.org/10.1093/neucas/8.1.135.

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Puquan Xu, Changyou Liu, and Xinhe Xu. "On sequencing problems of repetitive production systems." IEEE Transactions on Automatic Control 38, no. 7 (July 1993): 1124–28. http://dx.doi.org/10.1109/9.231469.

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Kritikos, Manolis N., and George Ioannou. "Sequencing material handling equipment in production facilities." International Transactions in Operational Research 14, no. 4 (July 2007): 291–307. http://dx.doi.org/10.1111/j.1475-3995.2007.00588.x.

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Yadollahpour, Mohammad Reza, and Behrooz ArbabShirani. "Hot strip mill production planning and sequencing." International Journal of Services and Operations Management 31, no. 1 (2018): 98. http://dx.doi.org/10.1504/ijsom.2018.094179.

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Yadollahpour, Mohammad Reza, and Behrooz ArbabShirani. "Hot strip mill production planning and sequencing." International Journal of Services and Operations Management 31, no. 1 (2018): 98. http://dx.doi.org/10.1504/ijsom.2018.10015166.

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Dissertations / Theses on the topic "Sequencing of the production"

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Park, Malcolm McKenzie. "Flowshop sequencing : a graphical approach /." Connect to thesis, 1990. http://eprints.unimelb.edu.au/archive/00001755.

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Greco, Michael P. "Sequencing policy for a CONWIP production system." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-08292008-063311/.

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Cross, Fionnuala Mary. "A model for loading and sequencing a flexible manufacturing cell." Thesis, Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/25656.

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Creswell, Steven Howard 1961. "Solution to a bay design and production sequencing problem." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277124.

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This thesis addresses the problem of setting up a surface mount placement machine for production. The objective is to minimize the number of machine changeovers made during a production run consisting of a number of circuit cards. The solution to the problem involves two separate decisions. The first decision considers determining how to combine feeders together in "bays" or groups of feeders, and how to assign the bays to the circuit cards. The second decision considers the circuit card production sequence. A mathematical programming formulation is given, however, its solution is very difficult for problems of a realistic size. Several heuristic approaches are suggested and used to solve actual and test problems. The heuristic for bay design uses clustering techniques used in Group Technology while the sequencing problem is solved using heuristics based on solution techniques for the Traveling Salesman problem.
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Kircher, Martin. "Understanding and improving high-throughput sequencing data production and analysis." Doctoral thesis, Universitätsbibliothek Leipzig, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-71102.

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Advances in DNA sequencing revolutionized the field of genomics over the last 5 years. New sequencing instruments make it possible to rapidly generate large amounts of sequence data at substantially lower cost. These high-throughput sequencing technologies (e.g. Roche 454 FLX, Life Technology SOLiD, Dover Polonator, Helicos HeliScope and Illumina Genome Analyzer) make whole genome sequencing and resequencing, transcript sequencing as well as quantification of gene expression, DNA-protein interactions and DNA methylation feasible at an unanticipated scale. In the field of evolutionary genomics, high-throughput sequencing permitted studies of whole genomes from ancient specimens of different hominin groups. Further, it allowed large-scale population genetics studies of present-day humans as well as different types of sequence-based comparative genomics studies in primates. Such comparisons of humans with closely related apes and hominins are important not only to better understand human origins and the biological background of what sets humans apart from other organisms, but also for understanding the molecular basis for diseases and disorders, particularly those that affect uniquely human traits, such as speech disorders, autism or schizophrenia. However, while the cost and time required to create comparative data sets have been greatly reduced, the error profiles and limitations of the new platforms differ significantly from those of previous approaches. This requires a specific experimental design in order to circumvent these issues, or to handle them during data analysis. During the course of my PhD, I analyzed and improved current protocols and algorithms for next generation sequencing data, taking into account the specific characteristics of these new sequencing technologies. The presented approaches and algorithms were applied in different projects and are widely used within the department of Evolutionary Genetics at the Max Planck Institute of Evolutionary Anthropology. In this thesis, I will present selected analyses from the whole genome shotgun sequencing of two ancient hominins and the quantification of gene expression from short-sequence tags in five tissues from three primates.
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CARNEIRO, SARA SOLANGE PARGA. "PLANNING OF TRUCK SEQUENCING IN ASSEMBLY-TO-ORDER PRODUCTION ENVIRONMENT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=22236@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
A maioria das pesquisas científicas publicadas sobre sequenciamento da produção na indústria automobilística consideram os pedidos já alocados em um dia ou turno de trabalho, desconsiderando especificidades do planejamento da cadeia de suprimentos. Esta dissertação procura contribuir no campo do planejamento da produção, propondo um modelo matemático de programação inteira mista que aborda de maneira integrada dois problemas de otimização fundamentais da cadeia: o problema de seleção de pedidos e o problema de sequenciamento de carros em uma única linha de montagem. A fim de abordar questões bem próximas a realidade, incluindo apresentação de experimentos numéricos com o modelo proposto, utilizou-se como cenário o segmento de caminhões, dentro da indústria automotiva. Considerou-se, como objetivo no modelo, além das abordagens tradicionais (minimizar sobrecarga de trabalho, troca de cores e violação de restrições), a demanda dos clientes com relação a prazos de entrega do pedido – principal reforço para uma indústria que pretende cada vez mais migrar para um ambiente de produção orientado pela demanda.
Most published scientific research on production sequencing in the automotive industry consider orders already allocated in a day or shift, disregarding specificities of supply chain planning. This paper aims to contribute in production planning field, proposing a mathematical model of mixed-integer programming that addresses in a integrated way two fundamental problems from chain: the problem of order selection and car sequencing problem on a single assembly line. In order to approach practical issues, including presentation of numerical experiments from proposed model, the truck segment within the automotive industry was used as scenario. It was considered as objective in the model, beyond traditional approaches (minimize work overload, color changing and violation of restrictions), customer demand with respect promised due dates, the main reinforcement for an industry that increasingly want migrate to a production environment driven by demand.
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Tahboub, Zainel-Abideen Abdul-Majid. "Sequencing to minimize total earliness-tardiness penalties on a single-machine /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266362338743.

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Won, Seung Gun. "Anaerobic fermentation for biological hydrogen production in a sequencing batch reactor." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44020.

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Biological hydrogen production via anaerobic fermentation of organic waste can be potentially a greener and sustainable technology. Thus far, most research has been conducted using continuous stirred tank reactors (CSTR). Anaerobic sequencing batch reactors (ASBR) have advantages over CSTR, but there are disadvantages in terms of their operation. The overall goal of the thesis research is to enhance hydrogen production by optimizing the operational conditions in an ASBR using agri-food wastewater as substrate. An ASBR with 6-L working volume was inoculated with sewage sludge from the anaerobic zone of a sewage treatment facility and was not pretreated to select the hydrogen-producing bacteria. Hydrogen productivity was estimated by hydrogen content (%), hydrogen production rate (HPR) and hydrogen yield as the performance indicators in response to changes in pH, hydraulic retention time (HRT), organic loading rate (OLR), and cyclic duration (CD) as the key operational parameters. Using dairy wastewater as substrate, the suppression of methanogenesis was feasible without pretreatment of inoculum under the conditions of higher OLR and shorter HRT, which favoured hydrogen production. With carbohydrate-rich synthetic wastewater as substrate, the combination of relatively low pH 4.5 and HRT 30 hr was found to be the optimal condition for hydrogen production. For higher hydrogen production, ethanol-to-acetic acid ratio of 1.25 and food-to-microorganism ratio of 0.84 were revealed as threshold values. Higher hydrogen productivity at longer CD was not necessarily accompanied with higher microbial growth that occurred at shorter CD. Subsequently, real sugar refinery wastewater was used in the tests for biohydrogen production. Based on statistical analysis and curve fitting by the modified Gompertz model of the data as well as microbial identification, the operational setting of (pH 5.5, HRT 10 hr, OLR 15 kg/m³.d) was concluded to be optimal with the performance indicators of (71.8±10.5% H₂, HPR 2.11±0.31 L H₂/L reactor.d and yield 0.95±0.13 mol H₂/mol sucrose). Taxonomic analysis confirmed the presence of dominant hydrogen-producing bacteria among the diverse microbial genera, and in particular, the Clostridia spp. without the pretreatment of inocula. Further studies with the optimization of operational conditions would contribute towards making the best possible decision for ASBR.
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hammadi-Khashouie, Ghorbanali. "Sequencing mixed-model assembly lines in just-in-time production systems." Thesis, Brunel University, 2003. http://bura.brunel.ac.uk/handle/2438/5770.

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This thesis proposes a new simulated annealing approach to solve multiple objective sequencing problems in mixed-model assembly lines. Mixed-model assembly lines are a type of production line where a variety of product models similar in product characteristics are assembled. Such an assembly line is increasingly accepted in industry to cope with the recently observed trend of diversification of customer demands. Sequencing problems are important for an efficient use of mixed-model assembly lines. There is a rich of criteria on which to judge sequences of product models in terms of line utilization. We consider three practically important objectives: the goal of minimizing the variation of the actual production from the desired production, which is minimizing usage variation, workload smoothing in order to reduce the chance of production delays and line stoppages and minimizing total set-ups cost. A considerate line manager would like to take into account all these factors. These are important for an efficient operation of mixed-model assembly lines. They work efficiently and find good solution in a very short time, even when the size of the problem is too large. The multiple objective sequencing problems is described and its mathematical formulation is provided. Simulated annealing algorithms are designed for near or optimal solutions and find an efficiency frontier of all efficient design configurations for the problem. This approach combines the SA methodology with a specific neighborhood search, which in the case of this study is a "swapping two sequence". Two annealing methods are proposed based on this approach, which differ only in cooling and freezing schedules. This research used correlation to describe the degree of relationship between results obtained by method B and other heuristics method and also for quality of our algorithm ANOVA's of output is constructed to analyse and evaluate the accuracy of the CPU time taken to determine near or optimal solution.
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吳永昌 and Wing-cheong Ng. "Assembly sequencing and Kanban assignment algorithms for just-in-time production systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1992. http://hub.hku.hk/bib/B31232759.

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Books on the topic "Sequencing of the production"

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Baker, Kenneth R. Principles of sequencing and scheduling. Hoboken, N.J: John Wiley, 2009.

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Baker, Kenneth R. Elements of sequencing and scheduling. Hanover, NH: K. R. Baker, 1992.

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Scholl, Armin. Balancing and sequencing of assembly lines. Heidelberg: Physica-Verlag, 1995.

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Creative sequencing techniques for music production: A practical guide to Pro Tools, Logic, Digital Performer, and Cubase. 2nd ed. Amsterdam: Focal Press, 2011.

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Pejrolo, Andrea. Creative sequencing techniques for music production pro tools and logic pro: A practical guide for digital performer, cubase sx. Boston, MA: Elsevier, 2005.

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Lapage, Ginny. Sequencing. [Reading, Berkshire]: Centre for the Teaching of Reading, University of Reading, 1985.

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Sequencing. New York: Atheneum, 1986.

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Lapage, Ginny. Sequencing. Reading: Centre for the Teaching ofReading, University of Reading, 1985.

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Sequencing. New York: Collier Books, 1986.

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DNA sequencing. New York: Springer, 1997.

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Book chapters on the topic "Sequencing of the production"

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King, Peter L. "Product Wheels: Production Scheduling, Production Sequencing, Production Leveling." In Lean for the Process Industries, 217–50. Second edition. | Boca Raton : Taylor & Francis, Routledge, 2019.: Productivity Press, 2019. http://dx.doi.org/10.4324/9780429400155-13.

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de las Heras-Saldana, Sara, Hawlader A. Al-Mamun, Mohammad H. Ferdosi, Majid Khansefid, and Cedric Gondro. "RNA Sequencing Applied to Livestock Production." In Systems Biology in Animal Production and Health, Vol. 1, 63–94. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43335-6_4.

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Gagné, Caroline, Arnaud Zinflou, and Marc Gravel. "Pareto Solution Strategies for the Industrial Car Sequencing Problem." In Metaheuristics for Production Scheduling, 253–81. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118731598.ch10.

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Engel, Christoph, Jürgen Zimmermann, and Alfons Steinhoff. "Objectives for Order—Sequencing in Automobile Production." In Beyond Manufacturing Resource Planning (MRP II), 307–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03742-3_12.

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Monden, Yasuhiro. "Sequencing Method for the Mixed-Model Assembly Line to Realize Smoothed Production." In Toyota Production System, 253–64. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-9714-8_16.

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Niebuhr, Lorena, Nina Rußkamp, and Eva-Maria Jakobs. "Segmentation and Sequencing in CAx Instructional Videos." In Advances in Manufacturing, Production Management and Process Control, 303–10. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80462-6_38.

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Storer, Robert H., S. David Wu, and InKyoung Park. "Genetic Algorithms in Problem Space for Sequencing Problems." In Operations Research in Production Planning and Control, 584–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78063-9_36.

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Lai, Zhao, Yi Zou, Nolan C. Kane, Jeong-Hyeon Choi, Xinguo Wang, and Loren H. Rieseberg. "Preparation of Normalized cDNA Libraries for 454 Titanium Transcriptome Sequencing." In Data Production and Analysis in Population Genomics, 119–33. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-870-2_8.

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Allcock, Richard James Nigel. "Production and Analytic Bioinformatics for Next-Generation DNA Sequencing." In Methods in Molecular Biology, 17–29. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0847-9_2.

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Wheat, Christopher W. "SNP Discovery in Non-model Organisms Using 454 Next Generation Sequencing." In Data Production and Analysis in Population Genomics, 33–53. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-870-2_3.

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Conference papers on the topic "Sequencing of the production"

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Suarez-Rivera, Roberto, Barry Clark, Doug Sassen, and Christopher Quinn. "Child Well Fracture Sequencing for Improved Production." In Unconventional Resources Technology Conference. Tulsa, OK, USA: American Association of Petroleum Geologists, 2021. http://dx.doi.org/10.15530/urtec-2021-5646.

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Abbott, Ernest, and Chua David. "A JIT Algorithm for Offshore Rig Assembly Sequencing." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2014. http://dx.doi.org/10.32738/ceppm.201411.0018.

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Morandin Jr., Orides, Edilson Reis Rodrigues Kato, Ageu Morais Duarte, and Allan Rodrigues Silva. "A Fuzzy Classifier Model for the Production Sequencing." In 2008 International Conference on Computational Intelligence for Modelling Control & Automation. IEEE, 2008. http://dx.doi.org/10.1109/cimca.2008.148.

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Morandin Jr., Orides, Edilson R. R. Kato, Flavio A. Montoro, and Veronica Oliveira de Carvalho. "A Production Sequencing Model for a Decision Support System." In 2008 International Conference on Computational Intelligence for Modelling Control & Automation. IEEE, 2008. http://dx.doi.org/10.1109/cimca.2008.138.

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Upreti, Girish, Rupy Sawhney, Isaac Atuahene, Gerardo Maciel, Ricardo Mendez, Daniel Covarrubias, Jhoselin Sanchez, and Victor Alcala. "Production sequencing in a fifth wheel industry: Case study." In 2015 International Conference on Industrial Engineering and Operations Management (IEOM). IEEE, 2015. http://dx.doi.org/10.1109/ieom.2015.7093920.

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Harnor, R. "A production sequencing advisor in an anthropocentric manufacturing cell." In IEE Colloquium on `Human Centred Automation'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950878.

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Virkus, K., M. Barkhoff, T. Stockmann, U. Schmidtmann, G. Kreutz, and A. W. Colombo. "Applied shop floor scheduling and sequencing in an agent-controlled production." In 2011 9th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2011. http://dx.doi.org/10.1109/indin.2011.6035009.

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Jung, Seyong, Jie Zhang, and Rui Oliveira. "Iterative learning control of polyhydroxybutyrate production in a sequencing batch reactor." In 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR ). IEEE, 2015. http://dx.doi.org/10.1109/mmar.2015.7283919.

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Riley, David. "The Role of 4D Modeling in Trade Sequencing and Production Planning." In Construction Congress VI. Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40475(278)110.

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"Biogas production of ASBR(Anaerobic Sequencing Batch Reactor) for cheese whey." In 2014 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers, 2014. http://dx.doi.org/10.13031/aim.20141898260.

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Reports on the topic "Sequencing of the production"

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Tarver, Angela, Alison Fern, Matthew San Diego, Megan Kennedy, Matthew Zane, Christopher Daum, Christopher Hack, et al. Illumina Production Sequencing at the DOE Joint Genome Institute - Workflow and Optimizations. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/985905.

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Daum, Christopher, Matthew Zane, James Han, Megan Kennedy, Matthew San Diego, Alex Copeland, Mingkun Li, and Susan Lucas. Illumina GA IIx& HiSeq 2000 Production Sequenccing and QC Analysis Pipelines at the DOE Joint Genome Institute. Office of Scientific and Technical Information (OSTI), January 2011. http://dx.doi.org/10.2172/1010544.

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Hicks, Julie, Laurin Yates, and Jackie Pettway. Mat Sinking Unit supply study : Mississippi River revetment. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41867.

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The Mississippi Valley Division (MVD) has maintained the Mississippi River banks for over 80 years. The Mat Sinking Unit (MSU), built in 1946, was considered state-of-the-art at the time. This system is still in operation today and has placed over 1,000 miles of Articulated Concrete Mats along the Mississippi River from Head of Passes, LA, to Cairo, IL. A new MSU has been designed and is expected to be fully mission capable and operational by the 2023 season, which is expected to increase the productivity from 2,000 squares/day up to 8,000 squares/day with double shifts and optimal conditions. This MSU supply study identifies and optimizes the supply chain logistics for increased production rates from the mat fields to the MSU. The production rates investigated for this effort are 2,000 squares/day, 4,000 squares/day, and 6,000 squares/day. RiskyProject® software, which utilizes a Monte Carlo method to determine a range of durations, manpower, and supplies based on logical sequencing is used for this study. The study identifies several potential supply and demand issues with the increased daily production rates. Distance to casting fields, number of barges, and square availability are the major issues to supply increased placement rates identified by this study.
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Faulon, Jean-Loup Michel, and Grant S. Heffelfinger. Shotgun protein sequencing. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/959081.

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Gardner, Malcolm J. Malaria Genome Sequencing Project. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada400972.

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Wilson, R. H., L. Kavraki, T. Lozano-Perez, and J. C. Latombe. Two-Handed Assembly Sequencing,. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada326877.

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Rothschild, Max F. Sequencing the Pig Genome. Ames (Iowa): Iowa State University, January 2005. http://dx.doi.org/10.31274/ans_air-180814-1066.

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Haugland, R. P. Fluorescence-detected DNA sequencing. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/5619036.

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Gardner, Malcolm J. Malaria Genome Sequencing Project. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada413292.

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Church, G. M. Computer assisted multiplex sequencing. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/6653521.

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