Minimizing Schedule Risk of Supply Chain

Authors

  • Md. Rabbi Amin Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Asif Iqbal Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Animesh Kar Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Ashraful Islam Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Protik Dutta Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Shadman Alvy Khan Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Sudipta Kumar Dhali Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Md. Makfidunnabi Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Md. Mohabbat Hossain Rubel Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • Dr. Mohammad Alamgir Kabir Masters in Applied Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh

Keywords:

Strategy, Schedule risk, Machine learning, Supply chain management

Abstract

The supply chain management sector in Bangladesh faces so many challenges in minimizing schedule risk, this research paper targets to identify strategies that can help organizations to overcome this situation. The study includes a review of the literature, data collecting through surveys and interviews, and statistical data analysis. The findings demonstrate that companies in Bangladesh can reduce schedule risk by putting into practice strategies like enhancing stakeholder collaboration and communication, investing in technology to improve supply chain visibility, diversifying suppliers to lessen reliance on a single source, and creating backup plans for unforeseen disruptions. The study's conclusions offer useful advice for companies working in Bangladesh, particularly those in the industrial and retail industries, on how to manage their supply chains more effectively and lower the likelihood of schedule delays. The research adds to the sparse body of knowledge in academia about supply chain management in Bangladesh.

References

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Published

2023-06-22

How to Cite

Md. Rabbi Amin, Asif Iqbal, Animesh Kar, Ashraful Islam, Protik Dutta, Shadman Alvy Khan, Sudipta Kumar Dhali, Md. Makfidunnabi, Md. Mohabbat Hossain Rubel, & Dr. Mohammad Alamgir Kabir. (2023). Minimizing Schedule Risk of Supply Chain. International Journal of Applied Sciences: Current and Future Research Trends, 19(1), 1–14. Retrieved from https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1365

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