Design of a System Dynamics Model (SDM) to Evaluate the Supply Chain of Biological Products

Year 2021, , 20 - 32, 24.06.2021

Salameh Serajı Hasan Mehrmanesh , Ahmad R. Kasraee

https://doi.org/10.19072/ijet.827233

Cited By: 1

Abstract

Today, organizational agility in a competitive business environment has become the primary principle of success. In the supply-chain management of any organization, its suppliers play an important role in achieving this significant goal. Therefore, the importance of evaluation in selecting and cooperating with suppliers plays a noteworthy role in increasing the chances of success. Meanwhile, identifying the supplier's evaluation indicators in a dynamic and uncertain environment has become a major challenge for managers. This article tries to provide an accurate and reliable solution to this important challenge based on the design of a System Dynamics Model (SDM). Thereby, the main purpose of this paper is to provide a model for evaluating suppliers in the biological supply chain. Then, the reliability and accuracy of the proposed model, are evaluated with several statistical tests. Finally, the performance of this model is shown in the supply chain of a vaccine and serum Institute. The results obtained, both in the tests and in the case study, all indicate the model's ability, reliability, and high accuracy in evaluating suppliers.

Keywords

System Dynamics Model, Biological Supply Chain, Supplier Evaluation System, Cause and Effect Diagram, Stock-Flow Diagram

References

• Mazarei, S. (2017). A Review of the Role of Electronic Logistics Chain Management on Business, . International Conference on Green Supply Chain, Pishgaman Science Evaluation Company. Lahijan.
• Koushki-Jahromi, F., & Safaei, M. (2020). Designing an Integrated Sustainable Supply Chain Model and its Impact on Global Competitiveness Performance by Case Study of the Turkish Pharmaceutical Industry. Talent development and excellence, 12(2s), 1121-1131.
• de Conto, S., Antunes Júnior, J., & Roehe Vaccaro, G. (2016). Innovation as a competitive advantage issue: a cooperative study on an organic juice and wine producer. Gestão & Produção, 23(2), 397-407.
• Safaei, M., & Thoben, K. D. (2014). Measuring and evaluating of the network type impact on time uncertainty in the supply networks with three nodes. Measurement, 56, 121-127.
• González, M., Quesada, G., & Mora Monge, C. (2004). Determining the importance of the supplier selection process in manufacturing: a case study. International Journal of Physical Distribution & Logistics Management, 34(6), 492-504.
• Safaei, M. (2020). Investigating and Extracting Green Marketing Strategies for Eco-Friendly Packaging in the Food and Pharmaceutical Supply Chain (Case Study of Arian Daru Pharmaceutical Company). International Journal of Advanced Science and Technology, 29(7s), 2304-2327.
• Nezamoddini, N., Gholami, A., & Aqlan, F. (2020). A risk-based optimization framework for integrated supply chains using genetic algorithm and artificial neural networks. International Journal of Production Economics, 225, 107569.
• Chang, J. (2017). The effects of buyer-supplier's collaboration on knowledge and product innovation. Industrial Marketing Management, 65(1), 129-143.
• Barati, M. (2017). The Effect of Supply Chain Relationship Management on the Competitiveness of Small and Medium-Sized Enterprises in Automobile Industry. Industrial Management Perspective, 26(1), 169-188.
• Dombrowski, U., & Karl, A. (2016). Systematic Improvement of Supplier Integration within the Product Development Process. Procedia CIRP, 57(1), 392-397.
• Karim, M., Tahera, U., & Nasrin, S. (2020). Supply Chain Management: Materialization of Process Management to Attain Greater Accomplishment in Business Function. Fareast International University Journal, 3(1), 104-120.
• Rao, R., Scherholz, M., Hartmanshenn, C., Bae, S., & Androulakis, I. (2017). On the analysis of complex biological supply chains: From process systems engineering to quantitative systems pharmacology. Computers & Chemical Engineering, 107, 100-110.
• Sterman, J. (2000). Business dynamics: systems thinking and modeling for a complex world. McGraw-Hill.
• Nabavi, E., Daniell, K., & Najafi, H. (2017). Boundary matters: the potential of system dynamics to support sustainability? Journal of Cleaner Production, 140(1), 312-323.
• Bhattacharya, S., Gupta, A., & Hasija, S. (2014). Joint Product Improvement by Client and Customer Support Center: The Role of Gain-Share Contracts in Coordination. Information Systems Research, 25(1), 1-30.
• Chen, J., & Paulraj, A. (2004). Towards a Theory of Supply Chain Management: The Constructs and Measurements. Journal of Operations Management, 22(2), 119-150.
• Delbufalo, E. (2012). Outcomes of inter-organizational trust in supply chain relationships: a systematic literature review and a meta-analysis of the empirical evidence. Supply Chain Management: An International Journal, 17(4), 377-402.
• Dobre, O. (2013). Employee motivation and organizational performance. Review of Applied Socio- Economic Research, 5(1), 53-60.
• Gnyawali, D., Madhavan, R., He, J., & Bengtsson, M. (2016). The competition–cooperation paradox in inter-firm relationships: A conceptual framework. Industrial Marketing Management, 53(1), 7-18.
• Hajati, A. (2016). The Effect of Supply Chain Integrity on Customer Satisfaction and Financial Performance Case Study:Ahwaz Industrial Township Company. The First International Conference on New Achievements in Research, Management, Accounting and Economics. Baku.
• Huo , B., Qi , Y., Wang, Z., & Zhao, X. (2015). The impact of supply chain integration on firm performance: The moderating role of competitive strategy. Supply Chain Management, 19(4), 369-384.
• IQVIA™. (2019). IQVIA™ MARKET PROGNOSIS. Thailand: IQVIA™.
• Karamehic, J., Ridic, O., Ridic, G., Jukic, T., Coric, J., Subasic, D., . . . Masic, I. (2013). Financial Aspects and the Future of the Pharmaceutical Industry in the United States of America. Mater Sociomed, 25(4), 286–290.
• Kwon , I.-W., Kim, S., & Martin, D. (2016 ). Healthcare supply chain management; strategic areas for quality and financial improvement. Technological Forecasting and Social Change, 113(1), 422-428.
• Parmigiani, A., & Rivera-Santos, M. (2015). Sourcing for the base of the pyramid: Constructing supply chains to address voids in subsistence markets. Journal of Operations Management, 33–34(1), 60-70.
• Porter , M. (2008). Competitive Strategy: Techniques for Analysing Industries andCompetitors. New York: Free Press.
• Prajogo, D., Chowdhury, M., Yeung,, A., & Cheng, T. (2012). The Relationship between Supplier Management and Firm’s Operational Performance: A Multidimensional Perspective. International Journal of Production Economics, 136(1), 123-130.
• Safaei, M., & Nasrollahi, M. (2020). A multi-objective model to allocate multiple facilities at proposed locations in the multi-floor organization, using an improved genetic algorithm. Case Study Isfahan Governorate. International Journal of Mathematics in Operational Research, 1(1), 1-20.
• Safaei, M., Mehrsai, A., & Thoben, K. (2014). A computational method in analyzing of delivery time uncertainty for highly complex supply networks. Measurement, 55, 549-563.
• Samson, D., & Gloet, M. (2018). Integrating performance and risk aspects of supply chain design processes. Production Planning & Control: The Management of Operations, 29(15), 1238-1257.
• Stienmetz , J., & Fesenmaier , D. (2017). Structural Implications of Destination Value System Networks. Schegg R., Stangl B. (eds) Information and Communication Technologies in Tourism, (pp. 159-171). Springer, Cham.