System Dynamics Analysis of a Blood Supply Chain System

Author:

Afshar Jafar1,Sadeghiamirshahidi Narjes1,Firouzi Ali Reza1,Shariatmadari Shahab2,bin Syed Hassan Syed Ahmad Helmi1

Affiliation:

1. Universiti Technologi Malaysia

2. Faculty of mechanical engineering, department of industrial engineering, UniversitiTechnologi Malaysia, Skudai, 81300, Malaysia

Abstract

Supply chain is a complex system with many challenges to accomplish an important goal. Since the dynamical essence of supply chain is stemmed from the customer demands so decision making will be a major issue in this particular topic. However the decisions wont be usually in an optimum level because of the higher complexity of the system. In addition, the various supervisions of lots of groups with variety of managerial issues on different echelons have made some dilemmas to achieve the overall goal of the system. The aim of this study is developing a system dynamic model for better understanding of the blood supply chain behavioral pattern. Also the reflection of the current model is obtained and some comparisons among the current model and four different scenarios are investigated. The analysis at the end shows the system performance under four various investigated scenarios.

Publisher

Trans Tech Publications, Ltd.

Reference8 articles.

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4. Nagurney, A., & Masoumi, A. H. (2012). Supply chain network design of a sustainable blood banking system. In Sustainable Supply Chains (pp.49-72). Springer New York.

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1. Horizontal collaboration in a decentralised system: Indonesian blood supply chain;Supply Chain Forum: An International Journal;2022-12-25

2. A Simulation-based Analysis of the Blood Supply Chain During Covid-19;2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2021-12-13

3. Modelling Wholesale Company’s Supply Chain Using System Dynamics;Transport and Telecommunication Journal;2020-04-01

4. People’s Willingness to Donate Blood: Agent-Based Approach;Agent-Based Approaches in Economics and Social Complex Systems IX;2017

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