Application of Internet of Things (IoT) in Inventory Management for Perishable Produce
Publication Date
1-1-2022
Document Type
Conference Proceeding
Publication Title
Springer Proceedings in Business and Economics
DOI
10.1007/978-3-030-75166-1_10
First Page
163
Last Page
177
Abstract
The emerging multiple sales channels and the more demanding customers are making the produce market very competitive nowadays. Inventory management for perishable produce has been very challenging due to its limited shelf life. Businesses are struggling to provide variety of fresh produce with high customer service and at a reasonable price. The development of Internet of Things (IoT) technologies provides a way to track the transportation and storage conditions of produce in real time and can thus improve the inventory management to reduce cost and increase customer satisfaction. In this paper, an application methodology of IoT in inventory management of perishable produce is introduced. The methodology proposes to use an Artificial Neural Network (ANN) algorithm to create a sorting and pricing mechanism for perishable produces according to their quality status provided by IoT. The methodology aims to minimize the total soilage cost with improved customer satisfaction. A case study is discussed to demonstrate the feasibility and potential benefits of the methodology.
Keywords
Internet of Things, Inventory management, Perishable produce
Department
Industrial and Systems Engineering
Recommended Citation
Jing Huang and Hongrui Liu. "Application of Internet of Things (IoT) in Inventory Management for Perishable Produce" Springer Proceedings in Business and Economics (2022): 163-177. https://doi.org/10.1007/978-3-030-75166-1_10
