Collaborative Manufacturing Techniques: A Review

Abstract

The competitive nature of today's economies has forced the manufacturing sector, small and medium-sized manufacturing enterprises (SMMES), to collaborate with other sectors to achieve stability and consistency. Manufacturing businesses are putting a lot of effort into managing their goods and services to reach a high level of client satisfaction. This is accomplished with the highest quality while maintaining a competitive cost tag. To accomplish this, the collaborative manufacturing technique (CMT) is used. It entails information exchange and dialogue amongst business processes concerning internal or external stakeholders in the hierarchy of value. An active CMT model that incorporates these present collaboration networks should provide operational value savings and significantly increase competitiveness. Therefore, the recent evaluation that provided a detailed view of such inclusion is no longer in existence. To promote collaboration techniques in the successful development of software products, this article provides a complete study of current collaborative models, respective benefits, and their collaborative features. This paper outlines the most recent mechanisms, approaches, and application possibilities for CMTs. In addition, the review paper thoroughly examines the techniques currently in use for employing CMT to solve problems in both science and engineering. More specifically, it suggests a revolutionary method for enhancing the current CMT methods through the application of machine learning (ML), artificial intelligence, and metaheuristics like genetic algorithms and particle swarm optimization (AI). In summary, this research highlights certain areas where CMT may be used soon.