process mining industrial

Business process mining: An industrial application - ScienceDirect

Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover process, control, data, organizational, and social structures. Although many researchers are developing new and more powerful process...

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Process Diagnostics: a Method Based on Process Mining

Medeiros, M. Song, and H. Verbeek, “Business process mining: an industrial application,” Information Systems, vol. 32, no. 1, pp. 713 –. 732, 2007. [11] A. Rozinat, I. de Jong, C. Günther, and W. van der Aalst, “Process min- ing of test processes: a case study,” Technische Universiteit Eindhoven,. Tech. Rep. WP 220, 2007.

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Process mining - Wikipedia

Process mining is a process management technique that allows for the analysis of business processes based on event logs. During process mining, specialized data-mining algorithms are applied to event log datasets in order to identify trends, patterns and details contained in event logs recorded by an information system.

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Discover Celonis Process Mining | Process Optimization & Analysis

Celonis Process Mining enables process visualization and analysis to enable increased efficiency and optimization across a variety of workflows.

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Process Mining belongs to Industrial Digitalization - Midagon

Digitalization is about collecting and using data to create business value. Data, reporting and analytics are the backbones of digitalization. One of the emerging trends in industrial digitalization is process mining. It delivers better productivity and higher cost efficiencies by utilizing data and advanced analytics techniques.

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Business process mining: An industrial application - ACM Digital ...

Jul 1, 2007 ... Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover process, control, data, organizational, and social structures. Although many researchers are developing new and more...

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Industrial application of semantic process mining - Taylor & Francis ...

Industrial application of semantic process mining. Jon Espen Ingvaldsen* and Jon Atle Gulla. Department of Computer and Information Science, Norwegian University of Science and. Technology, Trondheim, Norway. (Received 3 August 2010; final version received 29 May 2011). Process mining relates to the extraction of...

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Process Mining | KPMG | BE

Sep 22, 2017 ... Find and present process alternatives to real life processes to make them more efficient and controls more effective.

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The Mining Industry - Natural Resource Governance Institute

When mining, companies operate processes to extract or take away from the surrounding rock the minerals that they want to commercialize. A rock that contains a commercially profitable quantity of one or more minerals (or metals in particular) is called an ore. The left-over, worthless rock material from the ore is called...

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ProMetheuS: A Suite for Process Mining Applications - CEUR ...

Abstract. Process mining is an established approach for analyzing and model- ing complex business processes. In this paper we showcase ProMetheuS, a flex- ible and scalable suite for process mining natively designed for industrial appli- cations. Moving from the experience of the ProM framework, the state-of-art process...

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Industrial post doc researcher in the field of data and process mining ...

Nov 29, 2017 ... Are you interested in data-mining and process-mining? Do you have a PhD in the field of mathematics, software or something similar? Do you want to work in one of the biggest software companies in Denmark? Then you may be our new post doc! The research group for Process Intelligence, Modelling and...

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Process - Mining Industry Occupational Safety & Health

Once the risk is identified, then the remedial process is triggered. Based on the risk classification, the situation is escalated to the level of responsibility that is required to deal with that risk in terms of the definition of the process. This Action Response Plan may be developed for any of the major hazard areas within a mine,...

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Process mining through artificial neural networks and support vector ...

Process mining is a research area used to discover, monitor and improve real business processes by extracting knowledge from event logs available in process-aware information systems. The purpose of this paper is to evaluate the application of artificial neural networks (ANNs) and support vector machines (SVMs) in...

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Data Mining-driven Manufacturing Process ... - Semantic Scholar

suitable data mining techniques as well as implementation details. Index Terms—Analytics, Data Mining, Decision Support,. Process Optimization. I. INTRODUCTION. A. Motivation. Globalization, shorter product lifecycles and rapidly changing customer needs lead to high competitive pressure in the manufacturing industry.

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4TU - Collection: IEEE TF on Process Mining - Event Logs

?title, IEEE Task Force on Process Mining - Event Logs ? △ in collection. All collections ? ▽ contains, Production Analysis with Process Mining Technology ? ▽ contains, Real life Event Logs ? ▽ contains, Synthetic Event Logs ? ▽ contains, Workflow for Process Discovery Benchmark...

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Conformance Checking and Diagnosis in Process Mining

Conformance Checking and Diagnosis in Process Mining. In the last decades, the capability of information systems to generate and record over- whelming amounts of event data has experimented an exponential growth in several do- mains, and in particular in industrial scenarios. Devices connected to the internet (internet.

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Tracking the trends 2016 The top 10 issues mining ... - Deloitte

Oct 7, 2015 ... in the energy space alone, some miners have realized energy savings of 10% to 40%1 by investing in renewable energy installations, deploying innovative energy technologies and driving towards more automated mine processes to optimize energy consumption . LEARNING FROM OTHER INDUSTRIES.

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Unleashing Operational Process Mining - DROPS - Schloss Dagstuhl

13481 – Unleashing Operational Process Mining systems. The corresponding tools are being increasingly relevant in industry and have proven to be essential means to meet business goals. ProM is the de facto standard plat- form for process mining in the academic world. Examples of commercial tools are Disco.

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Minseok Song - Google Scholar Citations

Business process mining: An industrial application. WMP van der Aalst, HA Reijers, AJMM Weijters, BF van Dongen, ... Information Systems 32 (5), 713-732, 2007. 767, 2007. Process mining manifesto. W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ... International Conference on Business Process...

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Siemens uses process mining software to improve manufacturing ...

Dec 15, 2016 ... –ComputerWeekly.com; Analyst's take: Siemens PLM software revs up benefits for automotive industry –ComputerWeekly.com. They say a picture is worth a thousand words. This is particularly true for manufacturers when it comes to process mining, an analytics application that offers a view into business...

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Process Mining-Based Method of Designing and Optimizing the ...

HERD. 2017 Jul;10(4):105-120. doi: 10.1177/1937586716674471. Epub 2016 Nov 29. Process Mining-Based Method of Designing and Optimizing the Layouts of Emergency Departments in Hospitals. Rismanchian F(1), Lee YH(1). Author information: (1)1 Department of Information and Industrial Engineering, Yonsei...

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Mining & Minerals Water Treatment Solutions | SUEZ

SUEZ's approach to mining industry challenges is focused on optimizing yield and driving down production costs. Learn how SUEZ can help you today. ... SUEZ is a leading provider of water treatment and process solutions for global mining and minerals companies. Products include chemical treatment programs for...

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A comprehensive framework for the application of process mining in ...

Providing guidance for efficient and effective governance risk & compliance process mining applications. (section 3.2). Process mining-based goverance, risk and compliance applicability framework (sections 4-7). Case research in the insurance and software development industry (section 9), evaluation of assumptions,...

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Tin Mining and Processing: Everything you Need to Know

Feb 7, 2014 ... Compared to the processes used in the past, today's advanced technology allows the industry to produce 10 times more tin. General Kinematics' vibratory equipment innovation has made them a leader in the production of mining equipment for more than 45 years. A great many of the challenges faced by...

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Process Mining for Manufacturing Process Analysis: A case Study ...

Dec 1, 2015 ... applications of process mining in manufacturing industry. In this paper, we. apply process mining to analyze manufacturing processes in Samsung Electro-. Mechanic. Event logs from the manufacturing execution systems (MES) in the. company are analyzed with several process mining techniques. A MES...

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What is the role of cyanide in mining | MiningFacts.org

Cyanide is also a useful industrial chemical; over one million tonnes of it are used annually in electroplating, metal processing, the production of organic chemicals and plastics, and in photographic applications. [2] The mining industry has used cyanide to process ore for more than 120 years, and uses less than 20% of the...

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Analysing an industrial safety process through process mining: A ...

Sep 20, 2017 ... Pika, Anastasiia , ter Hofstede, Arthur H.M. , Perrons, Robert K. , Grossmann, Georg, Stumptner, Markus, & Cooley, Jim (2017) Analysing an industrial safety process through process mining: A case study.

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Development of Distance Measures for Process Mining, Discovery ...

distance measure can be used as a quantitative and qualitative tool in process mining, process merging ... the flexible deployment of process mining, discovery, and integration – all key features that are necessary for ... processes with trading partners across the globe, delivering essential value to industries and proven real-.

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Audit-focused Mining—New Views on Integrating Process Mining ...

Most approaches to process audits are antiquated and far from best utilizing the auditor's capabilities or the potential of existing enterprise resource planning (ERP) data. Instead, it would be ideal to start a process audit fieldwork project with the best information set available: complete models of actual processes...

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[GIFS] The 5 Stages of the Mining Life Cycle | Operations | Mining ...

Mining operations are complex. They aren't your run-of-the-mill type projects. These billion dollar complexes consist of various interconnected projects, operating simultaneously to deliver refined commodities like gold, silver, coal and iron ore. It's a five stage process and we've broken it down using GIFs. Exploration.

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Why process mining is important to BPM. | Mindtree

Process mining has gained more significance than ever before due to the nature of business dynamics which changes time to time. An enterprise constantly needs to change its business functioning by looking for opportunities to improve the way its business is performed.

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Mining Industry - Mining Industry - Siemens

As one of the major suppliers of the global mining industry, we offer a comprehensive solutions portfolio that enables you to effectively meet these challenges – at each process stage, from extraction to transportation and beneficiation. With our integrated approach and profound industry expertise, we can improve your...

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Comparative Evaluation of Process Mining Tools

May 25, 2015 ... the open source and commercial market. Although every vendor has its own standards and conventions, the functionality of process mining will not change but rather grows. Thus, the more these tools are available for the public, the more the industry that uses them searches for evaluation framework.

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Application of Data Mining Techniques for Industrial Process ...

PROTECTED BUSINESS INFORMATION. Report. September 4, 2007. CETC-Varennes 2007-141 (TR). APPLICATION OF DATA MINING TECHNIQUES. FOR INDUSTRIAL PROCESS OPTIMIZATION. Prepared by: CANMET Energy Technology Centre - Varennes œ A Literature and Software Review œ. Author names.

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Data Science of Process Mining – Understanding Complex Processes

Right here is where we see an increasing enthusiasm for Process Mining across all industries: The data analyst can not only quickly provide answers but also speak the language of the Process Manager and visually display the discovered process problems. Data scientists deftly move through a whole range of...

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Mining, Metals, and Cement | Rockwell Automation

Mining; Metals; Cement. Obtain greater production efficiency, keep your operations safe, and reduce process variability. Our portfolio of integrated control and information solutions can help you attain these results. Explore Our Capabilities. With the increase in process complexity, you need industry knowledge, the right...

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How Process Mining Can Help Manufacturing and Assembly Lines ...

Jul 5, 2017 ... As industrial manufacturing companies implement a variety of business software tools, each of these systems generates a historical record of data and error reports that are proving to be a boon for manufacturing analytics professionals. Using an approach known as Process Mining, operations analysts can...

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Chapter 74 - Mining and Quarrying

Competition, declining mineral grades, higher treatment costs, privatization and restructuring are each putting pressure on mining companies to reduce their costs and increase their productivity. The high capital intensity of much of the mining industry encourages mining companies to seek the maximum use of their...

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Mineral Processing > Mining & Materials Handling Industry ...

Products and solutions for the mining industry – thyssenkrupp Industrial Solutions - Business Unit Resource Technologies – Mineral Processing.

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Mining Solutions | CYTEC SOLVAY GROUP

In Process Separation ... Delivering Innovations For The Global Mining Industry. A leading supplier of chemical reagents to the mining industry for over 100 years, Solvay enables customers to improve productivity and reduce operating costs while meeting complex economic, environmental and metallurgical challenges.

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