Abstract

Seafood supply chains (SSCs) face intricate challenges throughout the food journey, from harvest locations to our tables. The complexity demands a holistic view of supply chain management (SCM) to ensure the interests of each respective entity within the chain are met. The perishable nature of seafood products complicates the proper distribution efforts by industry owners. They are grappling with mismanagement and inefficient operational logistics strategies, which lead to lower profits and hinder the goal of meeting market demands. Amidst these challenges, emerging technologies offer promising solutions for decision-makers to control the flow of physical goods in their businesses. Using the Design Science Research (DSR) method, this study developed an artifact to highlight the potential of artificial intelligence (AI) to be engaged in decision-making scenarios. In this regard, a mathematical model (MM) is developed to deepen the understanding of the SSC environment and make it possible to utilize novel machine learning (ML) techniques in order to help authorities make better decisions on their logistics operations, considering maximizing profits in their businesses.

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