Analysis of Information Flow Characteristics in Shop Floor: State-of-the-Art and Future Research Directions for Developing Countries

Abstract

The information flow in a company is a whole set of static or dynamic data obtained from communication used for the conception and realization of products; facing competition, every company aims at improving its performance to meet customer needs. The focus on information flow to improve the performances of companies has always been a major preoccupation in the research domain, which always contributes to the evolution of the analysis of information flow for companies to be more efficient. This article presents the state of the art on the analysis of information flow model based on information characteristics in shop floor manufacturing companies (known as advanced in technology) to ameliorate their performance and future research directions for small-and medium-sized manufacturing companies for developing countries to be more competitive and efficient.

Designing an information system for recapitulating goods received transactions

“…Data is collected through documentation and interviews, including an interview with one of the people from the freight forwarding company, which provides company information and petty cash data. The flow of the goods delivery recapitulation system in the company was also analyzed (Mbakop et al, 2021).…”

Predictive analysis of the value of information flow on the shop floor of developing countries using artificial neural network based deep learning

“…The software that has been designed to manage static information in well-organized production companies cannot perform the same tasks on the SF of developing countries where information flow is dynamic and does not sometimes respect specific criteria of flow. This situation is presented in Figure 1 by Mbakop et al. (2021) .…”

“…The characterization of information flow aims to know in detail what makes an information flow not useful in a production operation. The CIF globally presented by Mbakop et al (2021) is shown in Figure 2. The characterization of the information flow in the SF is based on the following:…”