A Multi-product Sustainable Scheduling Model Focusing on Logistic Service Sharing in Cloud Manufacturing Systems

Cloud computing as a service-driven business approach connects the distributed resources over the globe and allows multiple service demanders to submit their requests simultaneously to cloud-based application platforms. Cloud manufacturing has been inspired by the same idea to enable the sharing of manufacturing and production resources over the globe through an Everything-as-a-Service model. Despite providing enormous benefits to production and manufacturing business models for globalized models, it faces challenges for efficiently matching the services and demands due to the requirements of logistics among operation service providers. Moreover, the utility optimization for matching production services should address environmental factors as increasing demanders look for fulfilling ethical practices. This paper has aimed to develop a multi-objective mathematical model to reduce operation and logistic costs as well as gas emissions from operation centers and logistic services. This model has resulted in a sustainable cloud manufacturing system that will lessen environmental degradation besides the shared operational costs optimization.