Prescriptive Control of Business Processes

Big data analytics in supply chain management: A state-of-the-art literature review

“…Although BDA adoption in product R&D and equipment diagnosis and maintenance is less often studied, papers in this area make a significant contribution to predictive and prescriptive analytics in manufacturing research (Lei and Moon, 2015;Wang et al, 2015;Zhang et al, 2017). Moreover, research on BDA-enabled quality control during manufacturing processes is rather limited (Krumeich et al, 2016;.…”

“…Most of those papers focus on the intelligent DSS that enables real-time control of the entire operational process in manufacturing (Dai et al, 2012;Krumeich et al, 2016;Zhang et al, 2017;Zhong et al, 2016), logistics/transportation (Delen et al, 2011;Dobre and Xhafa, 2014;, and SC agility (Ong et al, 2015;Papadopoulos et al, 2017). Not surprisingly, mathematical models are missing in many of those papers since such state-of-the-art systems normally require a complex mixture of various models and techniques from a number of data-mining disciplines.…”

“…In those studies, K-means is often performed in the initial phase of the data analytics process to partition the raw heterogeneous datasets into more homogenous segments. Studies find that advanced data-mining techniques such as decision trees and neural network would develop more accurate predictive models by leveraging the result of cluster analysis (Krumeich et al, 2016;Lei and Moon, 2015;Stefanovic, 2015).…”

“…Product R&D Bae and Kim, 2011;Do, 2014;Lei and Moon, 2015;Opresnik and Taisch, 2015;Zhang et al, 2017 Production planning & control Chien et al, 2014;Krumeich et al, 2016;Zhang et al, 2017;Shu et al, 2016;Dai et al, 2012;Zhong et al, 2016;Helo and Hao, 2017 Quality management Krumeich et al, 2016;Zhang et al, 2017; Maintenance & diagnosis Shu et al, 2016;Guo et al, 2016;Kumar et al, 2016;Zhang et al, 2017;Wang et al, 2015 Warehousing Storage assignment Chuang et al, 2014;Li, Moghaddam, et al, 2016;Tsai and Huang, 2015;Chiang et al, 2011;Chiang et al, 2014 Order picking Ballestín et al, 2013;Chuang et al, 2014; Inventory control Alyahya et al, 2016;Hofmann, 2015;Huang and Van Mieghem, 2014;Lee et al, 2016;Stefanovic, 2015 Logistics and transportation Cui et al, 2016;Li et al, 2015;Shi and Abdel-Aty, 2015;StAubin et al, 2015;Toole et al, 2015;Xia et al, 2016;Yu and Abdel-Aty, 2014;Zangenehpour et al, 2015;…”

Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda

“…Eight papers address the Diagnostic level, such as Ngai et al (2012), introducing a context-aware decision support for real-time accident handling and rescheduling. Solely the research work of Krumeich et al (2016) could be classified as Prescriptive, as it contains an approach for the prescriptive controlling of business processes based on process events. By analyzing complex events, the approach predicts the optimal behavior of a certain business process.…”