Author
Listed:
- Pratik Maheshwari
(National Institute of Industrial Engineering)
- Sachin Kamble
(EDHEC Business School)
- Ashok Pundir
(National Institute of Industrial Engineering)
- Amine Belhadi
(Cadi Ayyad University)
- Nelson Oly Ndubisi
(Qatar University)
- Sunil Tiwari
(ESSCA School of Management)
Abstract
Micro, Small, and Medium Enterprises (MSMEs) operating in the food retailing sector encounter two main concerns with respect to their perishable inventory management system, i.e., the product’s shelf life and investment in warehouse monitoring systems. New technologies like the Internet of Things (IoT), automated inventory control platforms, and automatic storage and retrieval systems offer effective solutions to these issues. However, MSMEs are reluctant to adopt these technologies due to their prior perception of higher implementation costs and the expected benefits. The present study aims to optimize IoT implementation in MSMEs’ inventory management systems and to provide tangible proof of its feasibility and usefulness. In so doing, we propose a mathematical model and analyze the impact of IoT through two case studies. The model provides a cost–benefit analysis of IoT investments that aim to increase products’ shelf life. We adopted the fractional program method, solved by particle swarm optimization on MATLAB software. The findings demonstrate the positive correlation between adopting IoT and reduced inventory costs supporting IoT deployment for improved perishability performance in MSMEs. The study offers several insights and practical guidelines in considering IoT deployment in MSMEs.
Suggested Citation
Pratik Maheshwari & Sachin Kamble & Ashok Pundir & Amine Belhadi & Nelson Oly Ndubisi & Sunil Tiwari, 2025.
"Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises,"
Annals of Operations Research, Springer, vol. 350(2), pages 395-423, July.
Handle:
RePEc:spr:annopr:v:350:y:2025:i:2:d:10.1007_s10479-021-04277-9
DOI: 10.1007/s10479-021-04277-9
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:350:y:2025:i:2:d:10.1007_s10479-021-04277-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.