Journal of Industrial and Systems Engineering

Journal of Industrial and Systems Engineering

A System Dynamics Approach for Value Chain Analysis in Pharmaceutical Industry

Document Type : Research Paper

Authors
1 PhD Candidate, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
2 Assistant Professor, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
3 Associate Professor, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
Abstract
Value chain (VC) is one of the fundamental concepts in production and operations management, used for creating and developing products and services, and distributing them to the end customers. Because of its importance to organizations success or failure, especially in the developing countries, this study aims to investigate the factors influencing VC in pharmaceutical industry, as a very important sector in Iran. For this purpose, pharmaceutical value chain experts in a public company (Sobahan Darou Co.) were extracted. Next, systems dynamics as a powerful approach for modeling complex systems, is applied to simulate the dynamics of the pharmaceutical VC. So, the interactions of the main variables of the system were translated to the dynamic hypotheses and constitute the causal loop diagram. Then, stock and flow diagram was formulated in form of the differential equations. To validate the proposed model, some structural and behavioral validation test were implemented which indicated model’s accuracy. Finally, four potential scenarios were defined based on the of the company's possibilities and the amount of change in marketing and sales costs, investment in skilled human resources and investment in research and development, and the effect of implementing these scenarios on four basic variables, namely customer satisfaction, financial strength, polution and VC efficiency were investigated. Based on the results, the fourth scenario has the greatest impact on customer satisfaction and emission reduction. The second scenario has the greatest increase on VC efficiency and financial strength.
Keywords
Subjects

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Volume 15, Issue 2 - Serial Number 2
Spring 2023
Pages 124-139

  • Receive Date 01 January 2023
  • Revise Date 04 February 2023
  • Accept Date 30 March 2023