A Methodology to Apply Process Mining in End-To-End Order Processing of Manufacturing Companies

2021 ◽  
pp. 127-137
Author(s):  
G. Schuh ◽  
A. Gützlaff ◽  
S. Schmitz ◽  
C. Kuhn ◽  
N. Klapper
Keyword(s):  
Process Mining ◽  
Manufacturing Companies ◽  
Order Processing ◽  
End To End

Process Mining in der additiven Auftragsabwicklung/Process Mining for additive manufacturing

2020 ◽  
Vol 110 (06) ◽  
pp. 429-434
Author(s):  
Philipp Scherwitz ◽  
Steffen Ziegler ◽  
Johannes Schilp
Keyword(s):  
Additive Manufacturing ◽  
Process Mining ◽  
Batch Size ◽  
Order Processing ◽  
Eine Hohe ◽  
Automated Process ◽  
High Degree

Die Fähigkeit der additiven Fertigung in Losgröße 1 zu fertigen, erzeugt eine hohe Komplexität in der Auftragsabwicklung. Dies stellt die datenbasierte Optimierung der Prozessabläufe vor große Herausforderungen. Durch die geringen Stückzahlen, bei einer hohen Variantenanzahl, ist die Prozessaufnahme in der additiven Fertigung mit signifikanten Aufwänden verbunden. Abhilfe kann hier eine automatisierte Prozessaufnahme schaffen. Deshalb soll in diesem Beitrag die Technologie des Process Mining untersucht und darauf aufbauend eine Vorgehensweise für die datenbasierte Optimierung in der additiven Fertigung vorgestellt werden.   The capability of additive manufacturing to produce in batch size 1 creates a high degree of complexity in order processing. This creates great challenges for the data-based optimization of process flows. Due to the low number of pieces, with a high number of variants, the process recording in additive manufacturing is connected with significant expenditures. This can be overcome by automated process recording. Therefore, this article will examine the technology of process mining and, based on this, present a procedure for data-based optimization in additive manufacturing.

Data-based description of process performance in end-to-end order processing

CIRP Annals ◽  
2020 ◽  
Vol 69 (1) ◽  
pp. 381-384 ◽  
Author(s):  
Günther Schuh ◽  
Andreas Gützlaff ◽  
Seth Schmitz ◽  
Wil M.P. van der Aalst
Keyword(s):  
Process Performance ◽  
Order Processing ◽  
End To End

scholarly journals Understanding Process Mining for Data-Driven Optimization of Order Processing

2020 ◽  
Vol 45 ◽  
pp. 417-422
Author(s):  
Günther Schuh ◽  
Andreas Gützlaff ◽  
Sven Cremer ◽  
Marco Schopen
Keyword(s):  
Process Mining ◽  
Data Driven ◽  
Order Processing

Manufacturing Companies

2019 ◽  
pp. 120-147
Keyword(s):  
Financial Management ◽  
New Technologies ◽  
Manufacturing Companies ◽  
Erp System ◽  
Order Processing ◽  
Packaged Software ◽  
Systems Implementation ◽  
Software Packages ◽  
Software Implementations ◽  
Integrated Software

One of the most debated areas regarding the introduction of new technologies into companies of all sizes is ERP systems implementation. These integrated software packages normally encompass the main transaction processing and information reporting requirements of a company, spanning sales order processing, financial management, human resource management, stock movement, and inventory control. It has led to a widespread debate in the literature regarding the respective merits of procuring and implementing an ERP system or deploying individual standalone software packages. The increased take-up of packaged software also coincided with the spread of business process re-engineering (BPR) to improve efficiencies and reduce overheads. The two became closely linked as BPR projects were frequently combined with the introduction of new software solutions. In this chapter, three such cases are reviewed, all involving major new packaged software implementations in manufacturing companies and all associated with varying degrees of process change.

Surgical management of extracranial carotid artery aneurysms

VASA ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 223-228 ◽  
Author(s):  
Jan Paweł Skóra ◽  
Jacek Kurcz ◽  
Krzysztof Korta ◽  
Przemysław Szyber ◽  
Tadeusz Andrzej Dorobisz ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Surgical Management ◽  
Minor Stroke ◽  
Stroke Rate ◽  
Extracranial Carotid Artery ◽  
Long Term Follow Up ◽  
End To End ◽  
Dacron Patch ◽  
Major Stroke

Abstract. Background: We present the methods and results of the surgical management of extracranial carotid artery aneurysms (ECCA). Postoperative complications including early and late neurological events were analysed. Correlation between reconstruction techniques and morphology of ECCA was assessed in this retrospective study. Patients and methods: In total, 32 reconstructions of ECCA were performed in 31 symptomatic patients with a mean age of 59.2 (range 33 - 84) years. The causes of ECCA were divided among atherosclerosis (n = 25; 78.1 %), previous carotid endarterectomy with Dacron patch (n = 4; 12.5 %), iatrogenic injury (n = 2; 6.3 %) and infection (n = 1; 3.1 %). In 23 cases, intervention consisted of carotid bypass. Aneurysmectomy with end-to-end suture was performed in 4 cases. Aneurysmal resection with patching was done in 2 cases and aneurysmorrhaphy without patching in another 2 cases. In 1 case, ligature of the internal carotid artery (ICA) was required. Results: Technical success defined as the preservation of ICA patency was achieved in 31 cases (96.9 %). There was one perioperative death due to major stroke (3.1 %). Two cases of minor stroke occurred in the 30-day observation period (6.3 %). Three patients had a transient hypoglossal nerve palsy that subsided spontaneously (9.4 %). At a mean long-term follow-up of 68 months, there were no major or minor ipsilateral strokes or surgery-related deaths reported. In all 30 surviving patients (96.9 %), long-term clinical outcomes were free from ipsilateral neurological symptoms. Conclusions: Open surgery is a relatively safe method in the therapy of ECCA. Surgical repair of ECCAs can be associated with an acceptable major stroke rate and moderate minor stroke rate. Complication-free long-term outcomes can be achieved in as many as 96.9 % of patients. Aneurysmectomy with end-to-end anastomosis or bypass surgery can be implemented during open repair of ECCA.

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