Title :
Internet of Things for Enterprise Systems of Modern Manufacturing
Author :
Zhuming Bi ; Li Da Xu ; Chengen Wang
Author_Institution :
Dept. of Eng., Indiana Univ.-Purdue Univ. Fort Wayne, Fort Wayne, IN, USA
Abstract :
Design and operation of a manufacturing enterprise involve numerous types of decision-making at various levels and domains. A complex system has a large number of design variables and decision-making requires real-time data collected from machines, processes, and business environments. Enterprise systems (ESs) are used to support data acquisition, communication, and all decision-making activities. Therefore, information technology (IT) infrastructure for data acquisition and sharing affects the performance of an ES greatly. Our objective is to investigate the impact of emerging Internet of Things (IoT) on ESs in modern manufacturing. To achieve this objective, the evolution of manufacturing system paradigms is discussed to identify the requirements of decision support systems in dynamic and distributed environments; recent advances in IT are overviewed and associated with next-generation manufacturing paradigms; and the relation of IT infrastructure and ESs is explored to identify the technological gaps in adopting IoT as an IT infrastructure of ESs. The future research directions in this area are discussed.
Keywords :
Internet of Things; data acquisition; decision making; decision support systems; large-scale systems; manufacturing industries; manufacturing systems; production engineering computing; ES performance; IT infrastructure; Internet of Things; IoT infrastructure; business environments; complex system; data acquisition; data communication; data sharing; decision support systems; decision-making activities; design variables; distributed environments; dynamic environments; enterprise systems; information technology infrastructure; manufacturing enterprise; manufacturing system paradigms; modern manufacturing; next-generation manufacturing paradigms; real-time data collection; Data acquisition; Decision making; Internet; Manufacturing systems; Sensors; Wireless sensor networks; Enterprise modeling; Internet of Things (IoT); enterprise systems (ESs); literature review; manufacturing enterprise; system paradigms;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2014.2300338
