Key Factors for Information Dissemination on Communicating Products and Fixed Databases

TL;DR

This paper analyzes how different strategies of distributing information among products and databases impact supply chain performance, focusing on optimizing information dissemination efficiency.

Contribution

It introduces a framework for evaluating various information distribution patterns in supply chains with embedded product data.

Findings

Certain distribution strategies significantly improve information dissemination speed.

Distributed database allocation enhances supply chain responsiveness.

Optimal data fragment placement reduces communication delays.

Abstract

Intelligent products carrying their own information are more and more present nowadays. In recent years, some authors argued the usage of such products for the Supply Chain Management Industry. Indeed, a multitude of informational vectors take place in such environments like fixed databases or manufactured products on which we are able to embed significant proportion of data. By considering distributed database systems, we can allocate specific data fragments to the product useful to manage its own evolution. The paper aims to analyze the Supply Chain performance according to different strategies of information distribution. Thus, different distribution patterns between informational vectors are studied. The purpose is to determine the key factors which lead to improve information distribution performance in term of time properties.