Design of Distributed CMS Using Intelligent Computing Mechanisms

Authors

  • Jayachandiran U
  • Srinivasan K

Abstract

Handling environmentally sensitive products (ESPs) as it progresses from one level to another in a supplychain management requires the use of special refrigeration systems. As supply chain strategies increase, safeguarding ESPs and controlling factors such as temperature, humidity and lighting level from deviated from designated storage conditions becomes a tremendous task. Hence an efficient Cargo Monitoring System becomes mandatory to preserve the functional quality of ESPs, without which the products become deteriorated or even obsolete. Moreover customers of ESPs go for companies who provide inventory visibility of the products throughout the operational environment. Considering the above factors, this article proposes a Cargo Monitoring System to monitor environmental changes of ESPs in order to ensure their functional quality throughout the operational environment. This work uses Block chain to provide the best inventory visibility throughout the supply chain. Operational efficiency, maintenance strategy, environmental change, and electricity consumption are considered in real-life cold chain operations. Bringing in distributed systems like Block chain additionally provides an extra level of security for the ESPs. Intelligent AI techniques such as fuzzy logic and case-based reasoning techniques are used to provide storage condition establishment and storage guidance respectively.

Downloads

Published

2020-01-23

Issue

Section

Articles