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Journal articles on the topic 'Development Process Optimization'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

Wosnitzka, Kelsey, Shandel Pariag, Hélène Trottin, et al. "Optimization of AAV process development: transfection matters." Cell and Gene Therapy Insights 7, no. 1 (2021): 1–7. http://dx.doi.org/10.18609/cgti.2021.010.

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2

Kawasaki, Hidenori, Toshinori Shimanouchi, and Yukitaka Kimura. "Recent Development of Optimization of Lyophilization Process." Journal of Chemistry 2019 (May 5, 2019): 1–14. http://dx.doi.org/10.1155/2019/9502856.

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The objective of this review is to survey the development of the optimization of lyophilization. The optimization study of the lyophilizer has been roughly developing by the order of (i) trial-and-error approach, (ii) process modeling using mathematical models, (iii) scalability, and (iv) quality-by-design. From the conventional lyophilization studies based on the trial-and-error, the key parameters to optimize the operation of lyophilization were found out, i.e., critical material attributes (CMAs), critical process parameters (CPPs), and critical quality attributes (CQAs). The mathematical m

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3

Björkman, Bo, Johan Eriksson, Lotta Nedar, and Caisa Samuelsson. "Waste reduction through process optimization and development." JOM 48, no. 3 (1996): 45–49. http://dx.doi.org/10.1007/bf03222891.

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4

Selvakumar, G., W. Blümke, M. Kirchner, and B. Schlüter. "PODeST - Process Optimization and Development through Sustainability." Chemie Ingenieur Technik 90, no. 9 (2018): 1163–64. http://dx.doi.org/10.1002/cite.201855068.

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5

SHIKIMURA, Tatsuya, Naohiko SUZUKI, Hideharu KATO, Akio HAYASHI, and Yoshitaka MORIMOTO. "Development of process optimization using image processing." Proceedings of The Manufacturing & Machine Tool Conference 2024.15 (2024): B10. https://doi.org/10.1299/jsmemmt.2024.15.b10.

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6

Ansari, Mojabir Hussen. "Preclinical Drug Development Process: Formulation and Development Aspects." International Journal of Medical & Pharmaceutical Sciences 13, no. 03 (2023): 01–10. http://dx.doi.org/10.31782/ijmps.2023.13301.

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Drug discovery and development process aims to make available new pharmacological entities to prevent, treat, mitigate or cure disease in a safe and effective manner. It involves rigorous testing and optimization of selected compounds to identify the drug that is most effective. Drug development starts with a target identification and validation, followed by drug candidate (hits) discovery, and lead drug (compound with favourable pharmaceutical, safety, efficacy and pharmacokinetic profile) selection and optimization then preclinical research, clinical research, FDA drug review, FDA post-marke

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7

Kuo, Chung-Feng Jeffrey, and Shih Hsiung Chen. "Functional dyeable polypropylene fabric development and process parameter optimization Part I: Dyeable modified polypropylene development with process parameter optimization." Textile Research Journal 91, no. 13-14 (2021): 1509–22. http://dx.doi.org/10.1177/0040517520984979.

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This study aims to develop dyeable modified polypropylene (PP) granules with disperse dye. The optimal dyeable modified PP granule process used polyester as a mixed copolymer. The purpose was to overcome the excessive difference between the polyester material melting point and PP melting point. The development of a low-melting modified co-polybutylene adipate terephthalate (Co-PBAT) was the key point. After the low-melting modified Co-PBAT was presented, PP and a PP grafting maleic anhydride compatibilizer were made into a composite by dual-screw mixing process. The disperse dye dyeability was

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8

PORWAL, PARAS, RAJENDRA KUMAR PANDEY, BALASAHEB ANDHARE, SMITA SINGH, and REETA REETA. "Process optimization for development of bael enriched Shrikhand." FOOD SCIENCE RESEARCH JOURNAL 7, no. 2 (2016): 239–44. http://dx.doi.org/10.15740/has/fsrj/7.2/239-244.

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9

CHMIL, A. "Optimization of the anaerobic development process animal waste." Energy and automation 2018, no. 1 (2018): 113–22. http://dx.doi.org/10.31548/energiya2018.01.113.

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10

Levich, V. E., I. I. Osovskaya, G. A. Emel’yanov, S. A. Kulachenkov, and V. M. Rodin. "Development and Optimization of Chlorinated Rubber Production Process." Fibre Chemistry 47, no. 4 (2015): 308–11. http://dx.doi.org/10.1007/s10692-016-9684-7.

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11

Kamen, Amine, and Olivier Henry. "Development and optimization of an adenovirus production process." Journal of Gene Medicine 6, S1 (2004): S184—S192. http://dx.doi.org/10.1002/jgm.503.

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12

Shin, Dong Hoon, and Jae-Woong Tae. "Expert System Development through the Decision-Making Process and Optimization for Classifying Strategic Items." International Journal of Machine Learning and Computing 5, no. 4 (2015): 271–76. http://dx.doi.org/10.7763/ijmlc.2015.v5.519.

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13

Babalola, Ayodeji. "Leveraging Big Data and Process Technology for Operational Optimization and Scalable IT Solutions Development." International Journal of Research Publication and Reviews 6, no. 1 (2025): 2312–31. https://doi.org/10.55248/gengpi.6.0125.0437.

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14

Fargnoli, Mario. "Design Process Optimization for EcoDesign." International Journal of Automation Technology 3, no. 1 (2009): 33–39. http://dx.doi.org/10.20965/ijat.2009.p0033.

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The importance of the environmental sustainability of industrial products has become significant both because of the ever-stricter environmental legislation in the field, and the increased demand of customers concerning environmental issues. The development of sustainable products leads engineers to take into consideration environmental aspects in concurrency with traditional technical and economical aspects from the very beginning of design activities. Thus, the role of designers is clear in integrating environmental considerations into the product design activities, increasing the efficiency

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15

Choi, J., C. W. Lee, and J.-H. Park. "Development of the process model for plunge grinding and optimization of grinding process." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225, no. 11 (2011): 2628–37. http://dx.doi.org/10.1177/0954406211406201.

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This article presents improved grinding roughness model established for cylindrical plunge grinding though analysing the existing roughness models. The proposed roughness model is to consider the uncertain effects of grinding, such as changes of grinding conditions and circumstance, as grinding procedure is progressed. In order to consider the uncertain effect of grinding, the time delay between programmed and actual infeed rate of grinding table is selected as weighting factor of the proposed roughness model. The developed roughness model is also used for the optimization algorithm of grindin

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16

Choi, Jeongju. "Study on Development of a Process Model and Optimization of Grinding Process." Journal of the Korean Society of Manufacturing Technology Engineers 28, no. 6 (2019): 319–24. http://dx.doi.org/10.7735/ksmte.2019.28.6.319.

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17

Shukla, R. M., Aasif Altaf, Naik Ishfaq Ali, et al. "Process development and optimization of process parameters of masala tikki: Kashmiri spices." SKUAST Journal of Research 26, no. 3 (2024): 384–94. http://dx.doi.org/10.5958/2349-297x.2024.00039.0.

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18

Tungatarova, Lyazzat. "Development of social informatics as a step of optimization the higher education process in Kazakhstan." Perspectives of Innovations, Economics and Business 15, no. 2 (2015): 78–83. http://dx.doi.org/10.15208/pieb.2015.07.

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19

Luna, Martin F., and Ernesto C. Martínez. "MODEL-BASED RUN-TO-RUN OPTIMIZATION FOR PROCESS DEVELOPMENT." Brazilian Journal of Chemical Engineering 35, no. 3 (2018): 1063–80. http://dx.doi.org/10.1590/0104-6632.20180353s20170212.

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20

Zhu, Frank X. X., and Lijun Xu. "Integrating multiscale modeling and optimization for sustainable process development." Chemical Engineering Science 254 (June 2022): 117619. http://dx.doi.org/10.1016/j.ces.2022.117619.

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21

., Arvind, Ranjeet Pratap Singh, and Shikha Pandhi. "Process optimization for development of low-calorie milk cake." Vol 72, No 2 (2019) 72, no. 2 (2019): 139–48. http://dx.doi.org/10.33785/ijds.2019.v72i02.003.

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22

Rattanakawin, Podchara, Kai Yamamura, Kenji Yoshimoto, and Masahiro Ohshima. "Development and Optimization of UV-Induced Chemical Foaming Process." Journal of Photopolymer Science and Technology 32, no. 5 (2019): 693–98. http://dx.doi.org/10.2494/photopolymer.32.693.

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23

Girard, P., M. Jordan, M. Tsao, and F. M. Wurm. "Small-scale bioreactor system for process development and optimization." Biochemical Engineering Journal 7, no. 2 (2001): 117–19. http://dx.doi.org/10.1016/s1369-703x(00)00110-8.

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24

Liu, Manqi. "Current Status, Development, And Application of Optimization Methods for Analog Circuits." Highlights in Science, Engineering and Technology 81 (January 26, 2024): 438–43. http://dx.doi.org/10.54097/j4vjfn83.

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The optimization of analog circuits has always relied on the experience and intuition of engineers to find suitable parameters to meet the requirements of the circuit, which is time-consuming and costly. This paper outlines and analyzes the optimization methods for analog circuits in recent years, and draws some summaries that can be used as references for subsequent optimization circuits. The optimization of analog circuits is mainly divided into the optimization of the performance of the hardware in the circuit and the optimization of the circuit structure. Hardware optimization, this paper

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25

Nasyrova, M. I., V. D. Lipatov, R. N. Imashev, et al. "DEVELOPMENT OF OPTIMIZATION ALGORITHMS FOR HORIZONTAL GAS WELLS DEVELOPMENT PROCESS AFTER MSHF." Petroleum Engineering 20, no. 3 (2022): 57. http://dx.doi.org/10.17122/ngdelo-2022-3-57-68.

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26

Wang, Xiao Yun, and Zhen Zhen Huang. "Development of Cutting Optimization System for Garment." Advanced Materials Research 490-495 (March 2012): 262–66. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.262.

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Garment cutting process is an important part of production ,directly related to the enterprise cost management and production efficiency. So, combined with the actual production need, the research for garment cutting process planning begins from task list to cutting plan, at last distributes the cutting task. It aims at improving the garment cutting process efficiency and reducing the production of the costs and optimize management. The source of the research is the Shijiazhuang Municipal Bureau of Science and Technology project. The subject number is 09113031A.

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27

Singh, Shubham, Jitendra Sharma, and Ujjwaldeep Krishna Gupta Manabendra Saha. "Development and Optimization of Process Parameters of Microwaved Cured Polymer Based Natural Fibre Coir Reinforced Composite." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (2019): 93–97. http://dx.doi.org/10.31142/ijtsrd23595.

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28

Basavaraju, Girish, and Ravishankar Rajanna. "Flow Process Development and Optimization of A Suzuki-Miyaura Cross Coupling Reaction using Response Surface Methodology." Bulletin of Chemical Reaction Engineering & Catalysis 15, no. 3 (2020): 604–16. http://dx.doi.org/10.9767/bcrec.15.3.8229.604-616.

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A custom-made tubular flow reactor was utilized to develop a mathematical model and optimize the Suzuki-Miyaura cross coupling reaction. In this study, the experimentation was designed and executed through the statistical design of experiments (DoE) approach via response surface methodology. The effect of molar ratios of phenylboronic acid (1) and 4-bromophenol (2), temperature, the catalyst tetrakis(triphenylphosphine)palladium, and equivalence of aqueous tripotassium phosphate was studied in detail. The flow reactor profile was in good agreement with batch conditions and significant improvem

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29

Forstater, Jacob H., and Shane T. Grosser. "Data-rich process development of immobilized biocatalysts in flow." Reaction Chemistry & Engineering 7, no. 4 (2022): 866–76. http://dx.doi.org/10.1039/d1re00298h.

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The authors describe an automated, data-rich screening and process development method for rapid discovery, development, and optimization of immobilized enzymes, critical to many biocatalytic processes.

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30

Lee, Minhyung, Gwanyong Park, Hyangin Jang, and Changmin Kim. "Development of Building CFD Model Design Process Based on BIM." Applied Sciences 11, no. 3 (2021): 1252. http://dx.doi.org/10.3390/app11031252.

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This paper proposes the design process of optimized building Computational Fluid Dynamics (CFD) model based on Building Information Modelling (BIM). The proposed method consists of five-step processes: BIM data extraction, geometry simplification, grid optimization, attribute data matching, and finally, exporting a CFD case folder for OpenFOAM. Validation is performed to evaluate the improvement of the grid model and the accuracy of the simulation result. Validation is conducted for four indoor ventilation models. The number of grids increased or decreased, according to the optimization method

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31

Sharfstein, S. T. "Advances in Cell Culture Process Development: Tools and Techniques for Improving Cell Line Development and Process Optimization." Biotechnology Progress 24, no. 3 (2008): 727–34. http://dx.doi.org/10.1021/bp070471q.

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32

Zhang, Hongbo, Jiani He, and Zhiyuan Zhong. "The Optimization of Automobile Part Product Development Using Integrated Product Development (IPD)." Information Resources Management Journal 37, no. 1 (2024): 1–13. http://dx.doi.org/10.4018/irmj.338392.

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This paper studies a new integrated product development (IPD) process at an automobile parts company. The process includes benchmarking and offers four optimization strategies for the new product development process: (1) re-structuring the new product development organization astraddle department teams, (2) reshaping the new product development and selection process already at the planning and conceptual design stages, (3) optimizing the design review process at the engineering stage, and (4) establishing a product development team with large project manager responsibilities in the industriali

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33

Leimeister, Mareike, Athanasios Kolios, and Maurizio Collu. "Development of a Framework for Wind Turbine Design and Optimization." Modelling 2, no. 1 (2021): 105–28. http://dx.doi.org/10.3390/modelling2010006.

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Dimensioning and assessment of a specific wind turbine imply iterative steps for design optimization, as well as load calculations and performance analyses of the system in various environmental conditions. However, due to the complexity of wind turbine systems, fully coupled aero-hydro-servo-elastic codes are indispensable to represent and simulate the non-linear system behavior. To cope with the large number of simulations to be performed during the design process of a wind turbine system, automation of simulation executions and optimization procedures are required. In this paper, such a hol

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34

Lu, Jim. "A stepwise approach to process optimization in cellular immunotherapy development." Cell and Gene Therapy Insights 7, no. 1 (2021): 45–49. http://dx.doi.org/10.18609/cgti.2021.007.

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35

Albert, Krisztina, András Koris, Shabbir Ahammed, Igor Gáspár, and Gyula Vatai. "Vinaigrette Production by Membrane Emulsification: Process Optimization and Product Development." Periodica Polytechnica Chemical Engineering 59, no. 3 (2015): 206–8. http://dx.doi.org/10.3311/ppch.7583.

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36

XU, Duo. "TIME MODEL AND OPTIMIZATION METHOD IN CONCURRENT PRODUCT DEVELOPMENT PROCESS." Chinese Journal of Mechanical Engineering 42, no. 01 (2006): 23. http://dx.doi.org/10.3901/jme.2006.01.023.

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37

Guliev, R., and A. Zolotukhin. "Field development optimization of waterflooding process using data assimilation methods." IOP Conference Series: Materials Science and Engineering 700 (November 25, 2019): 012054. http://dx.doi.org/10.1088/1757-899x/700/1/012054.

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38

Merkel, M., and A. Schumacher. "An Automated Optimization Process for a CAE Driven Product Development." Journal of Mechanical Design 125, no. 4 (2003): 694–700. http://dx.doi.org/10.1115/1.1631570.

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Within the product development the need for generating design variants is given in many situations, for example to optimize an existing initial design with respect to new or modified requirements. For an efficient process it is essential that these variations can be done very easily within a small timeframe. In the virtual product development the physical characteristic of a component is determined by numerical simulation. Commercial software products exist for nearly each physical phenomenon. Often these methods are covered under CAE. A fundamental issue for building and analyzing variants ea

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39

Dieck-Assad, G. "Development of a state space boiler model for process optimization." SIMULATION 55, no. 4 (1990): 201–13. http://dx.doi.org/10.1177/003754979005500402.

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40

Carlone, P., G. S. Palazzo, and R. Pasquino. "Pultrusion manufacturing process development: Cure optimization by hybrid computational methods." Computers & Mathematics with Applications 53, no. 9 (2007): 1464–71. http://dx.doi.org/10.1016/j.camwa.2006.02.031.

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41

Cluzeau, Jérôme, and Gaj Stavber. "Development and optimization of a new synthetic process for lorcaserin." Bioorganic & Medicinal Chemistry 26, no. 4 (2018): 977–83. http://dx.doi.org/10.1016/j.bmc.2017.12.009.

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42

Mountouris, A., E. Voutsas, and D. Tassios. "Plasma gasification of sewage sludge: Process development and energy optimization." Energy Conversion and Management 49, no. 8 (2008): 2264–71. http://dx.doi.org/10.1016/j.enconman.2008.01.025.

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43

Tracht, Ursula, and Frank U. Richter. "Kinetic Modeling from Early Product Development to Polymerization Process Optimization." Macromolecular Symposia 324, no. 1 (2013): 33–40. http://dx.doi.org/10.1002/masy.201200064.

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44

Revina, I. V., and E. N. Trifonova. "DEVELOPMENT OF AN OPTIMIZATION SIMULATION MODEL OF THE PRODUCTION PROCESS." DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES 11, no. 1 (2023): 91–104. http://dx.doi.org/10.25206/2310-9793-2023-11-1-91-104.

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The article discusses the optimization of the production process based on simulation modeling in the Arena Rockwell software product. A simulation model of the current "AS-IS" process has been developed. Based on optimization parameters - maximum equipment load, minimum number of units, a target model of the "TO-BE" process was developed. As a result of simulation modeling, when considering processes, the following parameters were established: the utilization rate of machine tools, the average duration of stay of parts in the production process, the average number of parts in the queue, the av

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45

AKAIWA, Shuya, Tsuyoshi FUKASAWA, and Satoshi FUJITA. "Development of Optimization Method based on Differentiation of Evolutionary Process." Proceedings of the Dynamics & Design Conference 2023 (2023): 216. http://dx.doi.org/10.1299/jsmedmc.2023.216.

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46

Asokan, P., R. Ravi Kumar, R. Jeyapaul, and M. Santhi. "Development of multi-objective optimization models for electrochemical machining process." International Journal of Advanced Manufacturing Technology 39, no. 1-2 (2007): 55–63. http://dx.doi.org/10.1007/s00170-007-1204-8.

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47

Keil, Frerich J. "Process intensification." Reviews in Chemical Engineering 34, no. 2 (2018): 135–200. http://dx.doi.org/10.1515/revce-2017-0085.

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Abstract Process intensification (PI) is a rapidly growing field of research and industrial development that has already created many innovations in chemical process industry. PI is directed toward substantially smaller, cleaner, more energy-efficient technology. Furthermore, PI aims at safer and sustainable technological developments. Its tools are reduction of the number of devices (integration of several functionalities in one apparatus), improving heat and mass transfer by advanced mixing technologies and shorter diffusion pathways, miniaturization, novel energy techniques, new separation

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48

Sun, Jia Kun, Fu Peng Yin, and Chao Ying Yang. "Development of a Process Analysis System Oriented to Discrete Manufacturing Industry." Applied Mechanics and Materials 775 (July 2015): 453–57. http://dx.doi.org/10.4028/www.scientific.net/amm.775.453.

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The existing problems on the manufacturing process planning and management of China are introduced, a variety of manufacturing process analysis and optimization processes are integrated, product, process and technology resources are systematized, then the information model is established. The architecture of a process analysis is proposed, on the basis, a platform of process planning, management, analysis and improvement is constructed, through integration with the CAPP system, the function of process planning, analyzing and optimizing has been implemented. By application in an auto heavy plan

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49

Chen, Song, Da Quan Li, Fan Zhang, et al. "Development of Semi-Solid Die Casting Process Technology for Aluminium Alloy Clamp." Materials Science Forum 850 (March 2016): 642–48. http://dx.doi.org/10.4028/www.scientific.net/msf.850.642.

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Compared with traditional liquid and solid processing methods, semi-solid die casting process can apparently overcome shrinkage cavity and porosity defects in castings and high deformation resistance and high residual stress shortcomings in forging parts. Semi-solid die casting process with advantages such as high efficiency and low cost, will become the optimal process for high quality automobile parts. In this study, using the clamp as an example, the author introduced product structure optimization and die design for semi-solid die-casting process of aluminum alloy in a new product developm

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50

Chen, Zhanying, Xuekun Li, Liping Wang, et al. "Development of a hybrid particle swarm optimization algorithm for multi-pass roller grinding process optimization." International Journal of Advanced Manufacturing Technology 99, no. 1-4 (2018): 97–112. http://dx.doi.org/10.1007/s00170-018-2458-z.

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