Investigation of the Behavioral Model of Suppliers of Raw Materials for Biological Products with a System Dynamics Approach (Case study: Razi Vaccine and Serum Research Institute)

Document Type : Original Articles

Authors

Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

The dynamic and variable environment of today's business has created a highly competitive atmosphere; n order for organizations to survive and succeed, they need to provide new and efficient methods in all aspects of their work. Therefore, supply chain management, as one of the effective factors in the quality of performance of the organization, has been an especial area of attention and since the quality of the final product is strongly dependent on the raw materials of the product and the efficiency of the supplier, the suppliers’ proper performance will guarantee the stability of the supply chain. One of the major challenges for managers in a dynamic and uncertain environment is identifying supplier evaluation indicators, and this article tries to provide a reliable approach to this important challenge. Therefore, the main purpose of this paper is to investigate of behavioral model of suppliers of raw materials for biological products with a system dynamics approach. Accordingly, the reliability and accuracy of the proposed model has been evaluated by several statistical tests. Finally, the performance of this model is shown in the supply chain of Razi Vaccine and Serum Research Institute. The results obtained both in the tests and in the case study, all indicate the ability, reliability and high accuracy of the model in suppliers’ evaluation.

Keywords

References

  1. Rashidzadeh MA, Sokhkian MA, Sadeghi MR. Supplier Selection in the Supply Chain Using Network Analysis Process (Case Study: Fars Province Gas Company). Ind Manag J. 2009;6(3):1-24.
  2. Zeinalpour Ahrabi S, Avakh Darestani S, Shahroudi K. Presenting a Roadmap for Using Lean Manufacturing Tools to mprove Supplier Performance (Case Study: Sapco Supply Chain). Ind Manag J Q. 2017;42(12):99-118.
  3. Safaei M, Thoben KD. Measuring and evaluating of the network type impact on time uncertainty in the supply networks with three nodes. Measurement. 2014;56:121-7.
  4. González ME, Quesada G, Mora Monge CA. Determining the importance of the supplier selection process in manufacturing: a case study. Int J Phys Distrib Logist Manag. 2004;34(6):492-504.
  5. Safaei M. Investigating and Extracting Green Marketing Strategies for Eco-Friendly Packaging in the Food and Pharmaceutical Supply Chain (Case Study of Arian Daru Pharmaceutical Company). Int J Adv Sci Technol. 2020;29(7s):2304-27.
  6. Chang J. The effects of buyer-supplier's collaboration on knowledge and product innovation. Ind Mark Manag. 2017;65:129-43.
  7. Barati M. The Impact of Supply Chain Relationships Management on Competitiveness in Iranian Small and Medium-sized Enterprises in Automotive Parts Industry. J Indust Manag Perspect. 2017;7(2):169-88.
  8. Dombrowski U, Karl A. Systematic Improvement of Supplier Integration within the Product Development Process. Procedia CIRP. 2016;57:392-7.
  9. Jahromi F, Safaei M. Designing an Integrated Sustainable Supply Chain Model and its Impact on Global Competitiveness Performance by Case Study of the Turkish Pharmaceutical Industry. Talent Dev Excell. 2020;12:1121-31.
  10. Rao RT, Scherholz ML, Hartmanshenn C, Bae SA, Androulakis IP. On the analysis of complex biological supply chains: From Process Systems Engineering to Quantitative Systems Pharmacology. Comput Chem Eng. 2017;107:100-10.
  1. Sterman J. Business Dynamics, System Thinking and Modeling for a Complex World. http://lst-iiepiiep-unescoorg/cgi-bin/wwwi32exe/[in=epidoc1in]/?t2000=013598/(100). 2000;19.
  2. Karim M, Tahera U, Nasrin S. Supply Chain Management: Materialization of Process Management to Attain Greater Accomplishment in Business Function. Fareast Int Univ J. 2020;3(1):104.
  3. Nabavi E, Daniell KA, Najafi H. Boundary matters: the potential of system dynamics to support sustainability? J Clean Prod. 2017;140:312-23.
  4. Guarnieri P, Trojan F. Decision making on supplier selection based on social, ethical, and environmental criteria: A study in the textile industry. Resour Conserv Recycl. 2019;141:347-61.
  5. de Boer L, Labro E, Morlacchi P. A review of methods supporting supplier selection. Eur J Purch Supply Manag. 2001;7(2):75-89.
  6. Wu C, Barnes D. A literature review of decision-making models and approaches for partner selection in agile supply chains. J Purch Supply Manag. 2011;17(4):256-74.
  7. Haji Gholam Saryazdi A, Rajabzadeh A, Mashayekhi A, Hassanzadeh A. Designing System Dynamics Model of Crowdfunding Diffusion in Iran. Modern Researches in Decision Making. 2020;5(2).
  8. Izadyar M, Toloie Eshlaghy A, Zahra M. Application of system dynamics in assessing sustainability performance of LARG supply chain in the automotive industry. Manag Res Iran. 2021:1-24.
Archives of Razi Institute
Volume 77, Issue 3 - Serial Number 3
May and June 2022
Pages 1291-1302

Files

Share

How to cite

Statistics