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A Survey of Modeling the Healthcare Inventory for Emerging Infectious Diseases

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Intelligent Computing and Optimization (ICO 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 855))

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Abstract

Inventory management is a critical process in the healthcare industry. Challenges to the healthcare industry, such as supply shortages or overstocking, especially during the pandemic, make healthcare inventory management highly important. Efficient inventory management can help ensure quality patient care while reducing inventory costs. Over the years, several approaches and methods for modeling healthcare inventory management have been developed by researchers. This paper aims to provide an overview of inventory management (modeling) to handle inventory management problems under several constraints, such as limited budget and resources in both deterministic and probabilistic demand scenarios by focusing on the challenges posed by the COVID-19 pandemic. In this paper, techniques and methods, including Economic Order Quantity, Mathematical Optimization Models, Stochastic Programming, and Metaheuristics are presented and critically reviewed as guidance for future research.

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Author information

Authors and Affiliations

  1. Department of Teacher Training in Mechanical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Tatitayakorn Limsakul & Sompoap Taladgaew

Authors
  1. Tatitayakorn Limsakul
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  2. Sompoap Taladgaew
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Corresponding author

Correspondence to Tatitayakorn Limsakul .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Ho Chi Minh City, Vietnam

    Pandian Vasant

  2. Department of Computer Science, Chittagong University of Engineering & Technology, Chittagong, Bangladesh

    Mohammad Shamsul Arefin

  3. Federal Scientific Agroengineering Center VIM, Laboratory of Non-traditional Energy Systems, Russian University of Transport, Department of Theoretical and Applied Mechanics, 127994 Moscow, Russia;, Moscow, Russia

    Vladimir Panchenko

  4. Department of Computer Science, UOW Malaysia KDU Penang University Colleage, George Town, Malaysia

    J. Joshua Thomas

  5. Northwest University, Mmabatho, South Africa

    Elias Munapo

  6. Faculty of Engineering Management, Poznań University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

  7. Facultad de Ciencias Económicas y Empresariales, Universidad Panamericana, Mexico City, Mexico

    Roman Rodriguez-Aguilar

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Limsakul, T., Taladgaew, S. (2023). A Survey of Modeling the Healthcare Inventory for Emerging Infectious Diseases. In: Vasant, P., et al. Intelligent Computing and Optimization. ICO 2023. Lecture Notes in Networks and Systems, vol 855. Springer, Cham. https://doi.org/10.1007/978-3-031-50158-6_40

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