Real-Time Shop-Floor Production Performance Analysis Method for the Internet of Manufacturing Things

Abstract

Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources. As a result, it is difficult to analyze the real-time production performance for the shopfloor. In this paper, the definition and overall architecture of the internet of manufacturing things is presented to provide a new paradigm by extending the techniques of internet of things (IoT) to manufacturing field. Under this architecture, the real-time primitive events which occurred at different manufacturing things such as operators, machines, pallets, key materials, and so forth can be easily sensed. Based on these distributed primitive events, a critical event model is established to automatically analyze the real-time production performance. Here, the up-level production performance analysis is regarded as a series of critical events, and the real-time value of each critical event can be easily calculated according to the logical and sequence relationships among these multilevel events. Finally, a case study is used to illustrate how to apply the designed methods to analyze the real-time production performance.

Conceptual Framework for Applying Internet of Things in Production Systems for Sensing Enterprises

“…Zhang et al, (2014) propose an Internet of Manufacturing Things like a tool to design an easy-to-deployment infrastructure to form a sensing manufacturing environment.…”

“…This part is formed by RFID (Cao et al,2011;Castro et al,2011;Hu et al,2011;Isenberg et al, 2011;Liu et Xu, 2013;Shengduo et Jian, 2012;Vossiek et al,2010; and two dimensional code (Lee et al,2012;Lvqing, 2011;Meyer et al,2011;Stephan et al,010;Zhiliang et al,2013). For reading these ID-technologies, there are sensors et al, 2011;Hu et al,2011;Qu et al, 2012;Vossiek et al,2010;Zhang et et al,2014) and cameras (Lee et al, 2012;Shengduo et Jian, 2012). There are also Object Memory Servers (Stephan et al, 2010), to store the information in each object and database servers with enterprise information (Cao et al, 2011;Cuiyun et Yuanhang, 2010;Liu et Xu, 2013;Meyer et al,2011;Zhiliang et al,2013).…”

“…The management of these network bellows to these level. The possible networks are Wireless Sensor Network (Castro et al,2011;Shengduo et Jian, 2012), Mobile Communication Network (Lee et al,2012;Qu et al,2012), GPS (Liu et Xu, 2013;Meyer et al,2011), Bluetooth (Zuehlke, 2010), 6LoWPAN (Castro et al,2011) and Zigbee (Zhang et al,2014;Zuehlke, 2010). communication also with an application in a computer or a smartphone.…”

“…The applications in this phase are also called Internet of Manufacturing Things (Zhang et al,2014;Zhiliang et al,2013).…”

A Social Network of Collaborating Industrial Assets

“…As an important aspect of industrial management, effective asset management is key to reducing the total cost of asset ownership while improving machine availability, guaranteeing security, and increasing productivity. In recent years, the IoT has been increasingly regarded as an effective framework to improve asset management policies, allowing asset managers to have a much broader knowledge of their asset fleet (Zhang et al 2014), (Lee et al 2015). As a result of this, the notion of SIoT (Social Internet of Things), which results from integrating Social Media into the IoT, has been implemented in application areas such as product lifecycle management (Cai et al 2014), traffic routing (Schurgot et al 2012), and workplace help and support (Kranz et al 2010).…”