Connecting Business Processes and Sensor Data in Proactive Manufacturing Enterprises - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

Connecting Business Processes and Sensor Data in Proactive Manufacturing Enterprises

(1) , (1) , (2)
1
2

Abstract

Real time sensor data is used often to monitor and control industrial applications. Such data is used to detect unexpected events and to take timely action to prevent industrial accidents or breakdowns. We introduce the concept of proactive sensing enterprises. The EU ProaSense project explores the use of real time sensor data and historical data to detect the likelihood of undesired events and to take proactive action to avoid undesired events and improve the resilience of the business. In this paper, we describe how enterprise modelling and process models may be used to connect the key performance indicators and business processes to data from sensors on technical components on the shop floor. We describe the benefits of connecting the business processes to sensor data and how modelling could contribute to reducing maintenance costs, improving proactive decision making and resilience in industry. An example from the manufacturing industry will be described.
Fichier principal
Vignette du fichier
430868_1_En_9_Chapter.pdf (512.79 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01614612 , version 1 (11-10-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Sobah Abbas Petersen, Rimmert van Der Kooij, Primoz Puhar. Connecting Business Processes and Sensor Data in Proactive Manufacturing Enterprises. 17th Working Conference on Virtual Enterprises (PRO-VE), Oct 2016, Porto, Portugal. pp.101-109, ⟨10.1007/978-3-319-45390-3_9⟩. ⟨hal-01614612⟩
37 View
111 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More