AIoT-based Sustainable Smart Supply Chain Framework

Abstract

Purpose: Supply chains in today's global environment operate in a market that is increasingly complex and dynamic in nature. In such an environment, a stable supply chain to respond to drastic changes in customer needs becomes inevitable. Based on these studies, it is obvious that organizations operating in the field of supply chain should accelerate their focus on sustainability and use technologies such as "Internet of Things" (IoT) and artificial intelligence to achieve the organization's goal of creating sustainable processes. Methodology: The presence of the Internet of Things, along with artificial intelligence technology, has created Artificial intelligence of things (AIoT) technology, which gives the big data from the Internet of Things great power. In this research, an attempt has been made to study and analyze the key dimensions, components and indicators of the AIoT-based sustainable supply chain. Also, a conceptual framework for Padidar intelligent supply chain based on these evolving technologies is presented, which can help to understand the elements of this intelligent supply chain in order to optimize. Findings: A study of the literature shows that investing in this technology to achieve sustainable benefits is inevitable. In addition, the use of this technology due to networking and the presence of the Internet requires appropriate security solutions for information technology, a workforce with the required set of skills, sharing information in an integrated environment with business partners. Originality/Value: The generalities of AIoT-based sustainable supply chain components in general, and things can be added to different industries and behaviors. Understanding the dimensions of this framework can always help to implement it effectively.

Authors and Affiliations

Alireza Aliahmadi,Hamed Nozari,Javid Ghahremani-Nahr,

Keywords

Related Articles

The Role of Monetary Instruments to Financial Market in the Pandemic Covid Era

Purpose: This paper aimed to analyze the financial market reaction towards monetary instruments during the pandemic covid era. We employ Malaysian data. Methodology: We develop the financial market into three models...

Evaluating Customer Trust in E-Commerce with a Combined Approach to Structural Equations and Artificial Neural Networks

Purpose: Due to the increasing familiarity of people with the Internet and considering the many benefits of online shopping, the fields of its use have grown rapidly. At such a stage, in case of mistrust among customers,...

The Existence of Imported Fruit in Contemporary Rituals in Pandemic

Purpose: This paper aims to describe the existence of imported fruit used by the Balinese Hindu community as a ritual tool during the pandemic. There is an assumption that imported fruit is more expensive, meaning that e...

The impact of education and training on the success of small and medium-sized enterprises

Purpose Many business management researchers regard the small and medium-sized enterprise sector as the pillar and primary impetus of economic growth, particularly in developing countries. As a result, most governments t...

The Effectiveness of Private-Public Partnerships in Land Delivery for Low-Income Housing Development for the City of Windhoek Namibia

Purpose: This study sought to assess the effectiveness of the City of Windhoek Public Private Partnership model for land delivery and low-income housing initiatives. To gain in-depth knowledge and understanding of the to...

Download PDF file
  • EP ID EP711392
  • DOI -
  • Views 68
  • Downloads 0

How To Cite

Alireza Aliahmadi, Hamed Nozari, Javid Ghahremani-Nahr, (2022). AIoT-based Sustainable Smart Supply Chain Framework. International Journal of Innovation in Management, Economics and Social Sciences, 2(2), -. https://europub.co.uk/articles/-A-711392