A Smart Inventory Management System with Forecasting Technique Applied to Efficiently Handle Industrial Asset

Authors

  • Mosaddek Hasan Chowdhury Department of Computer Science and Engineering, Notre Dame University, Bangladesh
  • Tasfia Ahmed Department of Computer Science and Engineering, Notre Dame University, Bangladesh
  • Md. Bayazid Rahman Department of Computer Science and Engineering, Notre Dame University, Bangladesh
  • A. H. M. Saiful Islam Department of Computer Science and Engineering, Notre Dame University, Bangladesh

DOI:

https://doi.org/10.54536/ajise.v2i2.1384

Keywords:

Forecasting Approach, Inventory Management System, Operation Management System, Stock Management

Abstract

Managing inventory has become increasingly complex and intriguing in today’s business landscape. Companies are striving to optimize their warehousing while balancing various costs. As a result, inventory management is crucial to maintain product quality and meeting customer demands. This paper outlines an effective inventory management system that incorporates demand forecasting to prevent the issues of overstocking or understocking. Furthermore, a performance analysis illustrates how the inventory management system has become essential to the industry sector.

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Author Biography

Mosaddek Hasan Chowdhury, Department of Computer Science and Engineering, Notre Dame University, Bangladesh

 

 

References

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Published

2023-04-24

How to Cite

Chowdhury, M. H., Ahmed, T., Rahman, M. B., & Islam, A. H. M. S. (2023). A Smart Inventory Management System with Forecasting Technique Applied to Efficiently Handle Industrial Asset. American Journal of Innovation in Science and Engineering, 2(2), 1–5. https://doi.org/10.54536/ajise.v2i2.1384

Issue

Vol. 2 No. 2 (2023): American Journal of Innovation in Science and Engineering

Section

Research Articles

License

Copyright (c) 2023 Mosaddek Hasan Chowdhury, Tasfia Ahmed, Md. Bayazid Rahman, A. H. M. Saiful Islam

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.