The aim of this paper is to present a generalized synergic framework between different production facilities locating at different geographical locations to realize an energy-saving and efficient cyber-physical production system for the production of different types of jobs in the context of the industry and beyond. | A synergic framework for cyber-physical production systems in the context of Industry and beyond International Journal of Data and Network Science 4 2020 237 244 Contents lists available at GrowingScience International Journal of Data and Network Science homepage ijds A synergic framework for cyber-physical production systems in the context of Industry and beyond . Chawlaa Surjit Angrab Sandeep Suric and . Kalrac a Indira Gandhi Delhi Technical University for Women Delhi India b National Institute of Technology Kurukshetra Haryana India c Delhi Institute of Tool Engineering formerly TRTC-Indo Danish venture Delhi India CHRONICLE ABSTRACT Article history With the inception of high-speed internet data services and ever-growing technical advancement Received September 11 2018 in manufacturing technology the integration of production systems and the internet of things to Received in revised format Sep- produce different types of jobs via cloud computing has become possible. The internet-enabled tember 11 2019 advanced automatic production systems can be referred to as the cyber-physical production sys- Accepted December 12 2019 Available online December 12 tems CPPS . The use of CPPS via cloud computing and the internet of things IoT can offer high 2019 productivity and high flexibility for the production of jobs in a dynamic production environment Keywords with varying specifications. The aim of this paper is to present a generalized synergic framework Big Data between different production facilities locating at different geographical locations to realize an Cloud Computing energy-saving and efficient cyber-physical production system for the production of different types Cyber-Physical Production Sys- of jobs in the context of the industry and beyond. In addition to the above the study also tems identifies a need to address large scale multi-objective optimization issues to make the best deci- Industry sions for different
