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

2014 ◽  
Vol 6 ◽  
pp. 270749 ◽  
Author(s):  
Yingfeng Zhang ◽  
Wenbo Wang ◽  
Sichao Liu ◽  
Gongnan Xie

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 shop-floor. 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.

2011 ◽  
Vol 121-126 ◽  
pp. 4059-4063
Author(s):  
Ying Feng Zhang ◽  
Jun Qiang Wang ◽  
Shu Dong Sun

Recent developments in wireless sensors, communication and information network technologies have created a new era of the internet of things (IoT). To achieve the real-time data capturing from shop-floor front lines and the seamless dual-way connectivity and interoperability among enterprise layer, workshop floor layer and machine layer, a framework of the internet of manufacturing things (IoMT) is presented, which provides a new paradigm by extending the IoT to manufacturing field. Under this IoMT framework, the key enabling technologies such as configuration of sensor networks, sensing and capturing of manufacturing data, data processing and applications services etc. are designed and analyzed. The proposed IoMT framework and its key technologies will facilitate the real-time information driven optimum control and the operation efficiency during manufacturing execution process management.


2021 ◽  
Vol 9 ◽  
Author(s):  
Dajian Li ◽  
Zhenfeng Zhao ◽  
Bai Wang ◽  
Haitao Yang ◽  
Wenhao Cui ◽  
...  

Due to the extensive development of fractures and serious heterogeneity in fractured reservoirs, it is difficult for the traditional numerical simulation method to invert its geology, which greatly limits the efficiency and accuracy of simulation and cannot realize the real-time optimization of production scheme. The connectivity model can only consider the two characteristic parameters of conductivity and connectivity volume, which does not involve complex and rigorous geological modeling. It can quickly and accurately reflect the state of the real reservoir, greatly reducing the simulation time, and is suitable for real-time production performance prediction of the reservoir. Due to the large difference in conductivity of fractured reservoirs, the difficulty of fitting increases. In this paper, the connectivity model is first applied to fractured reservoirs to realize the production dynamic simulation of fractured reservoirs. The optimization principle is used to optimize the injection-production scheme with the economic net present value as the objective function. In order to verify the method, the connectivity model is applied to Mu 30 of Changqing Oilfield in this paper. The results show that this method can effectively reflect the real production situation of the oilfield and the connectivity of the reservoir, and the simulation time is relatively fast. After optimization, the cumulative oil production of the reservoir increases by 8.1%, the cumulative water injection decreases by 2.3%, and the rising rate of water cut decreases by 58.8%, indicating that the connectivity model can realize the real-time production optimization of the reservoir.


2010 ◽  
Vol 3 (1) ◽  
pp. 55
Author(s):  
Eti Kristinawati

To complete customer's demand so company must make a plan with using production schedule. Some diffrculties usually happen in shop floor level is a new job which is put in a production schedule that have arranged before. So that the old production schedule have to revised by reschedulling. The procedure that be used to schedule the real time production consist of n job m machine is algoritm of Hueristik Dispatching Rule Shorted Processing Time (SPT) method to minimize mean tardiness and makespan.


2014 ◽  
Vol 7 (2) ◽  
Author(s):  
Theo Kanter ◽  
Rahim Rahmani ◽  
Jamie Walters ◽  
Willmar Sauter

This article investigates new forms for creating and enabling massive and scalable participatory immersive experiences in live cultural events, characterized by processes, involving pervasive objects, places and people. The multi-disciplinary research outlines a new paradigm for collaborative creation and participation towards technological and social innovation, tapping into crowd-sensing. The approach promotes user-driven content-creation and offsets economic models thereby rewarding creators and performers. In response to these challenges, we propose a framework for bringing about massive and real-time presence and awareness on the Internet through an Internet-of-Things infrastructure to connect artifacts, performers, participants and places. Equally importantly, we enable the in-situ creation of collaborative experiences building on relevant existing and stored content, based on decisions leveraging multi-criteria clustering and proximity of pervasive information, objects, people and places. Finally, we investigate some new ways for immersive experiences via distributed computing but pointing forward to the necessity to do more with regard to collaborative creation.


2013 ◽  
Vol 846-847 ◽  
pp. 1711-1715 ◽  
Author(s):  
Wen Jie Ji ◽  
Xiao Qiong Li ◽  
Jing Yang Chen

Mountain torrent is one of major natural disasters for humans. With the development of the Internet of things, the instrumented terminals, through which the host PC could obtain the real-time water and rainfall information and could alert to a coming disaster, have been widely applied to mountain torrent warning system. In order to ensure the effectiveness of network alerting, the program in the terminals need to be updated for some specific situations, but large quantities of terminals are usually built in complex terrain and fragmented geographically, so that it is difficult and expensive to update or repair the programs. In this paper, a method of remote update, realized on the BAM-4300 hydrologic remote terminal to update the complex programs via GPRS modules, was highly reliable. Experiments show that this method is of safety and reliability, and cumbersome processes of onsite update and maintenance could be avoided.


2013 ◽  
Vol 273 ◽  
pp. 641-645 ◽  
Author(s):  
Rong Chun Sun ◽  
Yan Piao ◽  
Yu Wang ◽  
Han Wang

To help drivers to quickly find a spare parking, a parking guidance control system was proposed. The principle of ultrasonic ranging was used to detect the state of a parking space, and through the internet of things the parking detector transmits the real-time information to the control center. The control center mainly is an industrial computer and is responsible for dealing with the real-time information and sending the control command by internet of things. The guidance signs at each crossroad receive the wireless commands and execute them, by which the guidance function is performed. The internet of things was realized by ZigBee star network, in which the control center is a coordinator and other parts are routers or terminal equipments. The simulation experiment results show that the parking guidance system works well, and has the value of application and promotion to some extent.


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