Enhancing Business Process Flexibility by Flexible Batch Processing

Author(s):  
Luise Pufahl ◽  
Dimka Karastoyanova
2016 ◽  
Vol 20 (2) ◽  
pp. 343-371 ◽  
Author(s):  
Riccardo Cognini ◽  
Flavio Corradini ◽  
Stefania Gnesi ◽  
Andrea Polini ◽  
Barbara Re

2016 ◽  
Vol 100 ◽  
pp. 1260-1268 ◽  
Author(s):  
Asma Mejri ◽  
Sonia Ayachi Ghannouchi ◽  
Ricardo Martinho

2015 ◽  
pp. 552-590
Author(s):  
Björn Münstermann

In this chapter three research models around BPS are derived in subsections 3.1 to 3.3. These research models shed light on the consequences/value dimensions of BPS (i.e. analyze the impact of BPS on business process performance and its sub-dimensions time, cost, and quality, as well as on business process flexibility).1 In a first step, the chapter introduces the three research models which are used and evaluated throughout the remainder of this book. In a second step, the chapter introduces the individual constructs used in the three research models. Finally, Section 3 establishes links between the constructs and derives a set of research hypotheses per model.2


2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Jing Wang ◽  
ShuXia Yu ◽  
YuYue Du

Logic Petri nets (LPNs) can describe and analyze batch processing functions and passing value indeterminacy in cooperative systems. Logic Petri workflow nets (LPWNs) are proposed based on LPNs in this paper. Process mining is regarded as an important bridge between modeling and analysis of data mining and business process. Workflow nets (WF-nets) are the extension to Petri nets (PNs), and have successfully been used to process mining. Some shortcomings cannot be avoided in process mining, such as duplicate tasks, invisible tasks, and the noise of logs. The online shop in electronic commerce in this paper is modeled to prove the equivalence between LPWNs and WF-nets, and advantages of LPWNs are presented.


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