System Dynamics Approach to Model the Interaction Between Production and Pricing Factors in Pharmaceutical Industry

Document Type : Research Paper

Authors

1 Department of Industrial Engineering, Yazd University, Yazd, Iran

2 Department of Industrial engineering, Elm and Honar University, Yazd, Iran

10.22070/jqepo.2021.5332.1145

Abstract

Pharmaceutical companies need to take advantage of adequate profits to obtain sufficient funds for playing major roles in the competitive market. The purpose of this research is to predict the price of medicine and the volume of production, taking the producer’s profit, the prices of the raw materials, and qualities into consideration. System thinking is employed to develop the cause and effect diagram and system dynamics for preparing the model for simulation and trend analysis. The simulation was carried out using VENSIM software on the amoxicillin capsule as a case study. When the government increases the marginal profit percentage for producers and with high-quality raw materials used by the producer, the companies` profits, production volume, and medicine quality will increase. Sensitivity analysis indicates that our pharmaceutical production company can better deal with the pharmacies, producers, and suppliers. This means that with a two percent lower profit margin for the pharmacy industry, the final medicine price would come down to 40105 from 40601, which is a one percent reduction to the base price suggested by simulation originally. This article makes a significant contribution to the Pharmaceutical field and hence to the patients and health industry.

Keywords

References

Akhlaghinia, N., Rajabzadeh Ghatari, A., Moghbel, A., &  Yazdianm, A. (2018). Developing a System Dynamic Model for Pharmacy Industry. Industrial Engineering & Management Systems, Vol 17, No 4, pp.662-668
"Why do not produce effective antibiotics?" secret project. (2015).
"Amoxicillin (Amoxil)", MedExpert. (2008).
"Iran's most popular drugs". Iranian Student News Site (ISNA), Code news: 92112315939. (2013).
Ghaderi, H., Gitinavar, H., & Pishvaee, M.S. (2020). A system dynamics approach to analyzing bioethanol and biodiesel supply chains: increasing bioethanol and biodiesel market shares in the USA. International Journal of Energy Technology and Policy, 16, 57-84.
Abdollahiasl, A., Kebriaeezadeh, A., Dinarvand, R., Abdollahi, M., Cheraghi, A.M. Jaberidoost, M., & Nikfar, S. (2014). A system dynamics model for national drug policy. Daru journal of pharmaceutical sciences, 22, 34-44.
Amini, A., & Zolfaghari, S. (2010). Analysis of factors affecting to productivity of all of the production factors. Case study: selected pharmaceutical industries of Iran. Quarterly of economic sciences, 12. PP. 1-28. 
Babar, Z., Ibrahim, M., Single, H., Bukahri, N., & Creese, A. (2007). Evaluating drug prices, availability, affordability & price Components: Implications for access to drug in Malaysia. Plos Medicine, 4, 466-475.
Bank Brokerage Company. (2014). Kowsar Pharmaceutical Company Analysis.
Brailsford, S. C. (2008). System dynamics: what's in it for Healthcare Simulation modelers. Proceedings of the 2008 winter Simulation Conference.
Cho, M. H., Yoo, K. B., Lee, H. Y., Lee, K. S., Kwon, J. A., Han, K-T., Kim, J.H., & Park, E.C. (2015). The effect of new drug pricing systems and new reimbursement guidelines on pharmaceutical expenditures & prescribing behavior among hypertensive patients in Korea. Health Policy, 119, 604-611.
Darabi, N., Hosseinichimeh, N.( 2020). System dynamics modeling in health and medicine: a systematic literature review. System Dynamics Review 36(1): 29–73.
Drummond,M., Jonsson,B., & Rutten,F. (1997). The role of economic evaluation in the pricing & reimbursement of medicines.  Health Policy, 40, 199-215.
Ebadi, J. & Ghavam, M. (2009). Targeting of drug subsidies: from two aspects of justice and efficiency. Economic researches journal, (86), 131-162.
Eftekhari, M., &  Zare Mehrjerdi, Y. (2017). A systems dynamics approach for investigating medicine losses due to consumption cycle. Master thesis, Department of Industrial Engineering, Yazd University, Yazd, Iran.
Franco, C. (2018). A simulation model to evaluate pharmaceutical supply chain costs in hospitals: the case of a Colombian hospital, DARU Journal of Pharmaceutical Sciences
Garattini,L., Cornago, D., & De Compadri, P. (2007). Pricing & reimbursement of in-patent drugs in seven European countries: a comparative analysis. Health Policy, 82, 330-339.
Ghaffarzadegan, N., Lyneis, J. & Richardson, G.P. (2011). How small system dynamics models can help the public policy process. System Dynamic Review, 27, 22-44.
Greenberger M, Crenson MA, Crissey BL. 1976. Models in the Policy Process: Public Decision Making in the Computer Era. Russell Sage Foundation: New York
Gholamian, M., Shahraki, M.M. & Sokaki, A. (2014). Provide an approach based on Choquet integral in pharmaceutical supply chain. Quarterly of industrial management of faculty of human sciences. Islamic Azad University of Sanandaj. 8, 30-40.
Hajebi, G,, Mortazavi, A,, & Goodarzi, J,, (2005). A survey on the pattern of antibiotic use in Taleghani Hospital in 2001. Research in medicine, 29, 157-164.
Hill, A., Barber, M. J., & Gotham, D. (2018). Estimated costs of production and potential prices for the WHO Essential Medicines List, BMJ Glob Health, 3, PP. 1- 7.
Hossein Zadeh, F., Ahari, S. S., & Mohammadian, A. (2016). Study of the status of administration of various antibiotics by general practitioners for outpatients in Ardabil in 1392. Journal of Ardabil University of Medical Sciences, 16, 12-22.
Jonsson, B., & Wilking, N. (2014). New cancer drugs in Sweden: assessment, implementation and access. Journal of Cancer Policy, 2, 45-62.
Kalantari, M., Hayati, Z., Shah moradi, H. & Pishvaie, M. (2014). Analyzing of effect of subsidies targeting on pharmaceutical supply chain by using of system dynamics. Journal of research of Tomorrow's management, 13, 19-34.
Levaggi, R.  (2014).  Pricing schemes for new drugs: a welfare analysis. Social Science & Medicine, 102, 69-73.
Li, M., Zhu, Y., Xue, C., Liu, Y. & Zhang, L. (2014). The problem of unreasonably high pharmaceutical fees for patients in Chinese hospital: a system dynamics simulation model. Computers in Biology & Medicine, 47, 58-65.
Liu, S., Xu, J. C., Liu, G., Xue, H., Bishai, D., & Wang, Y. (2018). Evaluating cost-effectiveness of treatment options for diabetes patients using system dynamics modeling. In 2018. Winter Simulation Conference (WSC), pp. 2577-2588. IEEE.
Marshall, D. A., Burgos-Liz, L., I. J. Zerman, M. J., Osgood, N. D., Padula, W. V., Higashi, M. K. & Crown, W. (2015). Applying dynamic simulation modeling methods in health care delivery research. The simulate checklist: report of the ISPOR simulation modeling emerging good practices task force. Value in health, 18, 5-16.
Mousnad, M. A., Akmal Shafie, A., & Ibrahim, M. I. (2014). Systematic review of factors affecting pharmaceutical expenditures. Health Policy, 116, 137-146.
Najafi, V., Honarvar, M., Zare Mehrjerdi, Y. & Sadat S. (2019). Exploring the role of lean thinking in sustainability of healthcare supply chain with system dynamics approach. Department of Industrial Engineering, Yazd University, Iran.
Robinson, J.C. & Howell, S. (2014). Specialty pharmaceuticals: policy initiatives to improve assessment, pricing, prescription, and use. Health Affairs, 33, 1745-1750.
Senge, P. (2016). The fifth discipline: the art and practice of the learning organization, Kamal hedayat, H. Roashan, M. Tehran, Industrial Management Organization, 92.
Sunil Shrestha, et al. (2020). Price variation among different brands of anticancer medicines available in hospital pharmacies of Nepal, Journal of Pharmaceutical Policy and Practice (2020) 13:6, pp. 1-11.
Teymouri, E. Nourali, A & Valizadeh. N.  (2012). System Dynamics a Practical Approach for Managerial Problems. Tehran, Publication of Iran University Science and Technology, 301, 363.
Sushil, S. (1993). System Dynamics for management support, Wiley Eastern, New Dehli www.daroobank.com.
Xu, J., Liu, S., Liu, G. G., Bishai, D., Xue, H., & Wang, Y. (2016). Integration of Patients' Decision-Making in Cost-Effectiveness Analysis of Diabetes Interventions: A Simulation Study Using System Dynamics Modeling. Available at SSRN 2841500.
Yaghoubi, S. & Hayati, Z.  (2018). A System Dynamic Model for Analyzing Bullwhip Effect in Drug Supply Chain Considering Targeted Subsidy Plan, Applied Economics Studies, Iran (AESI) 37 Volume 7.
Zare Mehrjerdi, Y. (2012). A system dynamics approach to healthcare cost control, International Journal of Industrial Engineering & Production Research 23.
Zare Mehrjerdi, Y. (2013a). Multi-Criteria Risk-Benefit Analysis of Healthcare Management. International Journal of Industrial Engineering and Production Research, Volume 24, Number 3, pp.151-167.
Zare Mehrjerdi, Y., Alemzadeh, R., Hajimoradi, A.  (2020). A. Dynamic Analysis of Health-Related Factors with its impacts on Economic Growth.  SN Applied Sciences 2:1440.
Zare Mehrjerdi, Y. (2013b). A dynamic systems approach to weight related health problems”, International Journal of Quality & Reliability Management, Vol. 30, No. 5, PP. 571-589.
Zhao, G. & Chen, W. (1990). Enhancing R&D in science-based industry: an optimal stopping model for drug   discovery. International Journal of Project Management, 27, PP. 754-764. http://www.emedexpert.com
Journal of Quality Engineering and Production Optimization
Volume 5, Issue 2
December 2020
Pages 163-188

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