A New Model to Analyze the Efficiency of a Multilevel Drug Supply Network for Hospitals
محورهای موضوعی : Business Strategy
Mohammadhossein Darvish Motevalli
1
(Department of Industrial Management, West Tehran Branch, Islamic Azad University, Tehran, Iran)
Maryam Ebrahimi
2
(Department of Information Systems Management, University of Bayreuth, Bayreuth, Germany)
کلید واژه: Coronavirus Pandemic, non-radial model, Data envelopment analysis, Sustainable Supply Chains,
چکیده مقاله :
It is of special importance to procure medicines as strategic commodities. The purpose of this study is to manage a drug supply network using a non-radial data envelopment analysis (DEA) model. This study is conducted in private hospitals in Tehran. In this regard, a drug supply chain at three levels of suppliers, distributors, and consumers (pharmacies and hospitals) is examined. Indicators and limitations of the network are identified and then the appropriate model is formulated using mathematical equations on the basis of a non-radial DEA model. In order to validate the proposed model, data related to 30 hospitals during 2019 and 2020 is evaluated. According to this model, 5 hospitals had efficient supply networks and 25 hospitals had deficient supply networks. The proposed new model is able to evaluate the multilevel supply network and intermediate components in hospitals. The problems of the drug supply network are due to the increase in demands for the time period under consideration and the existence of inconsistencies in the drug supply chain in hospitals, which has led to an increase in inefficient hospitals.
Alamdari, E., Najafzadeh, M., (1399). Investigating the impact of information and communication technology with knowledge management approach in improving supply chain management agility. Scientific Thought Ready, 19(72), 75-96.
Androage, L., Albo Naimi, E., Rezayati, L., Atf, Zahra, Gh, (1398). The effect of green education on green citizenship behavior with the moderating role of green management performance, green creativity and involvement of green staff in a hospital. Health Management, 10(4), 103-112.
Azadi, M. & Jafarian, M. (2015). A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Journal of Computers & Operations Research, (54), 274 -285.
Babazadeh, R., Razmi, J., Rabbani, M. (2017). An integrated data envelopment analysis mathematical programming approach to strategic biodiesel supply chain network design problem. Journal of Cleaner Production, 3(147), 694-707.
Bagheri K., Masoumeh, J., Katayoun, H. (2011). Current status of drug chain management at the level of health centers in Masjed Soleiman city and the impact of educational intervention on improving its processes. Health Management, 3 (1), 25-33.
Boudaghi,E., Farzipoor Saen, R. (2018). Developing a novel model of data envelopment analysis–discriminant analysis for predicting group membership of suppliers in sustainable supply chain. Computers and Operations Research, 89, 348–359.
Chen., C., M. (2009). A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks. European Journal of Operational Research, (194), 687-699.
Cook, Wade D., & Zhu, Joe. Bi, Gongbing. Yang, Feng. (2010). Network DEA: Additive efficiency decomposition. European Journal of Operational Research, (207), 1122–1129.
Darvish Motevali, M., Motamedi, M. (2020). Dynamic modeling to evaluate the efficiency of a sequential multilevel supply network. Decisions and Operations Research, 5(3), 272-289.
De Camargo Fiorini, P. Charbel José, J. (2017). Information systems and sustainable supply chain management towards a more sustainable society. International Journal of Information Management, 37(4), 241-249.
Ebrahimi, M., Hassanzadeh, A., Elahi, S., Ebrahimi, M. (2013). The relationship between information systems strategic management based on balanced scorecard and information systems performance. International Journal of Business Administration, 4(4), 35-49.
Fallahpour, A., Udoncy Olugu, E., Nurmaya Musa, S., Yew Wong, K. (2017). A decision support model for sustainable supplier selection in sustainable supply chain management. Journal of Computers and Industrial Engineering, 105, 391-410.
Farzipoor Saen, R., Torabipour, S. M. R. (2013). Review of effective component's role on cold chain management performance by factor analysis approach for competitive organization. Iranian Journal of Trade Studies, 66, 73-94.
Genovese, A. & Adolf A, A. Alejandro, F. (2017). Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. Journal of Omega, 8(1), 344- 357.
Hatami-Marbini, A., Ebrahimnejad, A., Lozano, S. (2017). Fuzzy efficiency measures in data envelopment analysis using lexicographic multi objective approach. Journal of Computers & Industrial Engineering, 6 (105), 362–376.
Hosseinzadeh-Lotfi, F., Taeb, Z., Abbasbandy, S. (2017). Determine the Efficiency of Time Depended Units by Using Data Envelopment Analysis. International Journal of Research in Industrial Engineering, 6(3), 193–201.
Hsu, SH., Kuo, T. (2013), Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. In Journal of Cleaner Production, (56), 164-172.
Kannan, D., Sousa Jabbour, AB. (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. In European Journal of Operational Research, 233-432.
Khalili-Damghani, K., Ghasemi, P. (2016). Uncertain centralized/decentralized production-distribution planning problem in multi-product supply chains: Fuzzy mathematical optimization approaches. Journal of Industrial Engineering and Management Systems, 15(2), 156-172.
Kiyani, F., Ansari, R., Taghdisi, A. (2014). Economic, social and environmental impacts of Hegmatan cement plant on Shangjarin Village. Quarterly Journal of Rural Space and Rural Development, 24(2), 144-133.
Mariz, F. B.A.R., Almeida, M. R. Almeida., Aloise, D. (2018). A review of dynamic data envelopment analysis: state of the art and applications. International Transactions in Operation Research, 25(2), 469–505.
Mohammadifar, B., Pourali, S M., Amiri, M. (2015). Presenting a dynamic data envelopment analysis model with a common weights approach. First National Conference on Quantitative Management Models and Techniques, 36-42.
Nasr Isfahani, F., Karimi, F., Nadi, M. (1399). Presenting a model for overcoming social wear and tear in the clinical wards of Isfahan hospitals (qualitative research). Health Management, (3), 91-100.
Olfat, L., Amiri, M., Bamdad Soufi, J., Pishdar, M. (2016). A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach. Journal of Air - Transport Management, (57),272-290.
Pilevari, N., Toloei, A., Sanaei, M. (2013). A model for evaluating cloud-computing users satisfaction. Asian Journal of Business Management, 7(16), 1405-1413.
Sheikh Begloo, Z., Teymournejad, K., Giourian, H., Abbaszadeh S. (1399). Identification and analysis of stakeholders of the Food and Drug Administration of the Ministry of Health using the Demetel technique. Health Management, 11(3), 33-44.
Soleimani Damaneh, R. (1398). Development of a dynamic data envelopment analysis (DDEA) model for periodic evaluation of decision-making units. Fourth International Conference on Industrial Management, 83-95.
Tavassoli, M., Farzipoor Saen, R., Faramarzi, G.R. (2015). Developing network data envelopment analysis model for supply chain performance measurement in the presence of zero data. Journal of Expert Systems, 32(3), 381-391.
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, (130), 498–509.
