Development of Service Compositions in Cloud Manufacturing Processes Based on System Sustainability Components

Abstract

With the emergence of information and communication technologies, manufacturing industries have shifted from centralized production architectures to architectures based on global services. This shift is highly beneficial for identifying emerging customer needs in the market, such as rapid response to custom production, autonomy in organizational network resources, flexibility, and efficiency in manufacturing. Consequently, several leading countries have given special attention to cloud manufacturing in their national development programs. Notable examples include the Industrial Internet program in the United States, the Industry 4.0 framework in Germany, and the Made in China 2025 initiative. Cloud manufacturing adopts the cloud computing paradigm as a foundation for providing shared manufacturing services on demand. The result is customer-centric supply chains that can be tailored based on cost, quality, speed, and customization.

In this study, considering cloud manufacturing systems, the economic, social, and environmental sustainability components were evaluated and analyzed. A sustainable mathematical model was developed and extended in this field. In the conducted analysis, using a small-scale approach with a metaheuristic algorithm, optimal solutions for economic, social, and environmental sustainability were evaluated. Finally, using the NSGA-II metaheuristic algorithm, larger dimensions of the problem were studied and analyzed. In the performed analysis, the algorithm parameters were initially tuned using the Taguchi method, followed by an evaluation and analysis of the problem dimensions based on exact and metaheuristic solutions. It was demonstrated that the development of cloud manufacturing systems is highly practical and executable within analytical models.