Big Data Technology for Resilient Failure Management in Production Systems

Abstract

Due to a growing complexity within value chains the susceptibility to failures in production processes increases. The research project BigPro explores the applicability of Big Data to realize a pro-active failure management in production systems. The BigPro-platform complements structured production data and unstructured human data to improve failure management. In a novel approach, the aggregated data is analyzed for reoccurring patterns that indicate possible failures of the production system, known from historic failure events. These patterns are linked to failures and respective countermeasures and documented in a catalog. The project results are validated in three industrial use cases.

The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility

“…The proposed analytic infrastructure would allow firms to successfully take advantage of big data to enhance their SC innovation capabilities. More recently, Tiwari et al (2018) highlighted that BDA can aid in supplier management decision through providing insight on firm spending pattern (Panchmatia, 2015); can aid in supply network design through proper analysis of service level and penalty cost data (Wang, Gunasekaran and Ngai, 2016; Wang, Gunasekaran, Ngai and Papadopoulos, 2016); can aid in product design and development through analysis of customer purchase record and online behavior (Afshari and Peng, 2015); and can further aid in demand planning (Chase, 2013; Hassani and Silva, 2015), procurement (Wang, Gunasekaran and Ngai, 2016; Wang, Gunasekaran, Ngai and Papadopoulos, 2016; Fan et al , 2015), production (Stich et al , 2015; Katchasuwanmanee et al , 2016), inventory logistics and distribution (Mehmood and Graham, 2015; Brouer et al , 2016), SC agility (Giannakis and Louis, 2016) and sustainability (Wu et al , 2017; Zhao et al , 2017). Furthermore, Hazen, Skipper, Ezell and Boone (2016) suggested eight theories, namely, actor-network theory, social capital theory, institutional theory, resource-dependence theory, transaction cost economics, agency theory, resource-based view (RBV) and ecological modernization theory, to explore BDPA’s influence on SC sustainability.…”

Big Data Analytics and Its Applications in Supply Chain Management

“…He then implemented the Physical Internet concept by using the Internet of Things, wireless technology, and BDA to create an RFID-enabled intelligent shop floor environment [54]. Stich et al have used BDA techniques to predict demand and production levels in manufacturing companies [55]. On the other hand, early additive manufacturing (also called 3D printing) was developed in the 1980s.…”

New Requirement Analysis Approach for Cyber-Physical Systems in an Intralogistics Use Case

“…In addition, they don't involve the applicant into the designing process and do not support requirement engineering approaches to ensure an entire, solution-neutral requirement recording. The selection of the technologies needs to factor new, upcoming ICT because the implementation process of a cyber-physical system takes up to two years in average [16][17][18]. Screening the ICT market is moreover incessant to ensure the selection of a sustainable and effective technology portfolio.…”