Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
H. Marin, Gustavo
- Cost-benefit Analysis of the Implementation of an Integrated Production Software in the Raw Materials Sector of a Pharmaceutical Industry
Abstract Views :77 |
PDF Views:0
Authors
María Eugenia Raidán Garcete
1,
Olga Maciel
1,
Lupe Marin
2,
Lourdes Barchello
3,
Lourdes Samaniego
1,
María Gloria Domenech
4,
Gina Marin
2,
Gladys Mabel Maidana
5,
Gustavo H. Marin
6
Affiliations
1 Facultad de Ciencias Químicas de Universidad Nacional de Asunción, PY
2 Facultad de Ciencias Médicas, Universidad Nacional de La Plata,, AR
3 Gerente de Calidad de Laboratorios Siegfried Rhein, PY
4 Facultad de Ciencias Químicas de Universidad Nacional de Asunción, PT
5 Facultad de Ciencias Químicas de Universidad Nacional de Asunción,, PY
6 CONICET, AR
1 Facultad de Ciencias Químicas de Universidad Nacional de Asunción, PY
2 Facultad de Ciencias Médicas, Universidad Nacional de La Plata,, AR
3 Gerente de Calidad de Laboratorios Siegfried Rhein, PY
4 Facultad de Ciencias Químicas de Universidad Nacional de Asunción, PT
5 Facultad de Ciencias Químicas de Universidad Nacional de Asunción,, PY
6 CONICET, AR
Source
Research Journal of Pharmacy and Technology, Vol 15, No 1 (2022), Pagination: 395-398Abstract
The pharmaceutical industry currently has computer systems that seek to optimize processes and allow the maximum performance of its resources through the use of computer tools. The objective of the work was to determine the costs and benefits of two different software in management of raw materials for the pharmaceutical industry. Methods: observational, descriptive, cross-sectional, study that compared ONDANET and SAP software in positive and negative costs inferred in the implementation of the tools and the benefits in terms of the profitability of the management of raw materials for the elaboration of pharmaceutical products. Results: it has been observed by using direct costs and benefits that the benefit-cost ratio of the SAP software implementation yielded a result of 15.37, whereas the ONDANET software presented a cost-benefit ratio of 0.05, which could have been demonstrated Conclusion: A widely favorable cost-benefit ratio was found for SAP Software compared to the previously used ONDANET Software, indicating that the new software used is profitable. It is desirable to periodically carry out this type of analysis to guarantee not only that the Pharmaceutical Industry has a greater profitability, without also being able to provide its products with continuity and at affordable prices for the population.Keywords
Cost benefit, pharmaceutical industry, integrated production software.
References
- Kumar JS, Kumar JR. Review of FDA Warning Letters to Pharmaceuticals: Cause and Effect Analysis. Research J. Pharm. and Tech. 2018; 11(7): 3219-3226
- Kumar JS, Kumar JR. Evolution of GMP in pharmaceutical Industry. Research J. Pharm. and Tech. 2017;10 (2), 501-506.
- Kumar JS, Kumar JR. A Study of Regulatory Agencies Inspected Global Drug Manufacturers. Research J. Pharm. and Tech. 2021; 14(2):1008-1016. doi: 10.5958/0974-360X.2021.00180.3
- Meza DE. Study and analysis of the benefits of Sap Business One Software Implementation in various economic segments. 10Th Ed. 2020, Paris. Available on: http://biblioteca.usac.edu.gt/tesis/08/08_0317_CS.pdf.
- Visual K. Manufacturing Software. Infor ERP. New York, 2021. Available on: https://www.visualk.com/software/software-erp-manufactura.html.
- Kumar P, Kalaiselvan V, Kaur I, Thota P, Singh NG. Materiovigilance programme of India (MVPI): A Step Towards Patient Safety For Medical Devices; European Journal of Biomedical and Pharmaceutical sciences. 2016; 3, 12, 497-501
- Dhamini M., Jawahar N., Vignesh M. Materiovigilance Programme of India – An Overview. Research J. Pharm. and Tech. 2021; 14(2):1137-1141. doi: 10.5958/0974-360X.2021.00204.3
- Kovalyov V, Chetvernia S, Krechun A, Mykhailenko О. Establishment of the Main Technological Parameters of Iris raw material. Research J. Pharm. and Tech. 2019; 12(7): 3359-3364
- Devasena L., Jegadeesan N, Alamelu R, Amudha R. Medical Instrumentation Industry- Indian Scenario. Research J. Pharm. and Tech 2018; 11(6): 2618-2620.
- Fatima N. Understanding Data Mapping and Data Modeling Techniques. Westlake Village, CA. 2021. Available on : https://www.astera.com/type/blog/understanding-data-mapping-and-its-techniques/.
- Blain J. Manual SAP R/3 Special Edition. World Consultancy, ASAP. Ed. Prentice, Madrid, Spain 2000.
- Rascati KL. Measuring and estimating costs. In: Essentials of pharmacoeconomics. Lippincott Williams and Wikins. Baltimore, USA. 2009
- Merethid, J.R; Shafer SM., Mantel, S. J. Project Management a managerial Approach (10th Ed) Editorial Wiley, Danver, MA, USA 2010.
- Baca G. Project Evaluation. Mc Graw Hill. 7rd Ed. Buenos Aires. 2014
- Deveswaran R, Bharath S, Basavaraj BV, Abraham S, Furtado S, Madhavan V. Concepts and Techniques of Pharmaceutical Powder Mixing Process: A Current Update. Research J. Pharm. and Tech. 2009; 2 (2): 245-249.
- Amar S, Balamuralidhara V, T M Pramod Kumar. Manufacturing and Designing of Implantable 3D-Printed Medical Devices - An Overview of Regulatory Challenges. Research J. Pharm. and Tech. 2021; 14(3):1785-1790. doi: 10.5958/0974-360X.2021.00317.6
- Eppler M.J. Making knowledge visible through intranet knowledge maps: concepts, elements, cases, Proceedings of the 34th Annual Hawaii International Conference on System Sciences, Maui, HI, USA, 2001; 4, 9. doi: 10.1109/HICSS.2001.926495.
- Mankar S. D., Kale C, Kanchan J. 3D Printing Technology- A Computer Aided Design- A Review. Research J. Science and Tech. 2019; 11(3): 217-224.
- Dubey R.D., Chandraker G., Sahu P.K., Paroha S., Sahu D.K., Verma S., Daharwal S.J., Prasad Reddy S.L.N. (2011). Computer Aided Drug Design: A Review. Research J. Engineering and Tech. 2(3): 104-108.
- Majeed SM., Al-Shaheen MK., Al-Zidan RN. Quality control study on Conventional Metronidazole tablets available in the Iraqi market. Research J. Pharm. and Tech. 2021; 14(2):803-808. doi: 10.5958/0974-360X.2021.00141.4
- Soto I. Validation Cost Reduction. J Valid Technol 2014; 20(3):32–4.