ويركزمعهد بحوثالعامة لليمينغ الصناعة الثقيلةفي مجال البحوث وتطوير التكنولوجيا المتقدمة والمنتجات الموجهة لصالح العملاء، فضلا عن بناءالقدرة التنافسية الجوهريةليجعل يمينغالصناعة الثقيلةرائدةفي هذه الصناعة.من خلال توفيرنتائج البحوثالأساسية، ويدعم المعهديمينغالصناعة الثقيلةالتكنولوجيا والمنتجات لتكون أعلىمنهافي العالمالقائمة.
معهد بحوثالعامة لليمينغ الصناعة الثقيلةهيقسم البحث والتطويرالأوليةللبحوثالتقنيةوالإدارة التقنية. وهي مسؤولة عنتطوير التكنولوجياالمطبقة علىيمينغجميع المنتجات، وإجراء البحوث الفنيةمقدمةعلى المنتجات الجديدةووضعالمعايير؛البحثالاهتزاز، والأثر، والضوضاء، والتكنولوجيا الهيدروليكية، والمطابقة الطاقةوتوفير الطاقة، والمواد الجديدة، وأنظمة التحكم، وخلق تكنولوجياتمبتكرة ومنتجاتحمليوبناءمنصة علىشبكة خاصةوعامةللتجاربوالاختباراتوذلك لتبادل التجربةالعامة ونتائج الاختبار.
Process mining adds to quality improvement by providing a better understanding of processes in terms of uncovering (un)wanted variations as to obtain better system A field test showed that process mining is effective in revealing the conformance of processes and opportunities for productivity improvement This paper provides insights Full article: Using process mining to improve productivity
Our experimental results, utilising both synthetic and reallife event logs, show how the use of data quality annotations by process mining techniques can assist Despite its importance, the topic of data quality in process mining has received limited attention In this paper, we discuss the emerging challenges related to ProcessData Quality: The True Frontier of Process Mining
Due to these differences, existing Process Mining methods cannot be applied outofthebox to analyze knowledgeintensive processes In this paper, we Mining process management may make use of KPIs established in other fields, however, we must bear in mind that operational mining processes require the formulation of reliable performance (PDF) Review of Key Performance Indicators for Process
The chapter provides insight into various uses of process mining in different social and economic processes, with examples from past works demonstrating Hasselt University Moe T Wynn Request fulltext Abstract Reallife event logs, reflecting the actual executions of complex business processes, are faced with QualityInformed Process Mining: A Case for Standardised Data
Process mining techniques serve three tasks, ie, (i) the discovery of process models based on process event logs, (ii) checking the conformance between a process model and process event logs, and (iii) enhancing process models Recent studies show that particularly, (ii) and (iii) have become increasingly importantProcess mining enables the datadriven analysis and continuous improvement of business processes in organizations 61% of decision makers view process mining as the most relevant technology to improve business processes and use or plan to use it in the next twelve months Process mining methods and tools are Process Mining of KnowledgeIntensive Processes: An Action
A long list of additional dimensions of data quality can be defined some examples include appropriateness, credibility, conformity, currency, relevance, and usability 22 Process Mining With the recent developments of the Internet of Things (IoT) and cloudbased technologies, massive amounts of data are generated by heterogeneous Mining plays a pivotal role in economies worldwide, contributing to employment, infrastructure, and the supply of essential raw materials Chile’s global mining powerhouse, particularly in copper production, exemplifies this industry’s economic significance The supplier selection process in the mining industry, a complex and Eng Free FullText Analytical Hierarchical Process to MDPI
The paper reviews applications of data mining in manufacturing engineering, in particular production processes, operations, fault detection, maintenance, decision support, and product qualityProcess mining, a subset of data mining, is a tool where students’ collected activity logs can be used to discover nontrivial learning process information and create process models in terms of data flow diagrams, Petri nets, etc Educational process mining (EPM) is a relatively new research technique used in educational data mining Information Free FullText An Education Process Mining MDPI
The development of data mining and analytics techniques offers a promising solution to enhance the quality monitoring processes and the industrial environment Machine learning (ML) works as a computational engine for hidden pattern recognition and data mining as it can deal with complex and highdimensional data (Ge Process Mining: A Guide for Practitioners Fredrik Milani1(B), Katsiaryna Lashkevich1, Fabrizio Maria Maggi2, and Chiara Di Francescomarino3 1 University of Tartu, Tartu, Estonia {milani,katsiarynalashkevich}@utee2 Free University of BozenBolzano, Bolzano, Italy 3 FBKIRST, Trento, Italy Abstract In the last Process Mining: A Guide for Practitioners
Objective: Process mining offers ways to discover patient flow, check how actual processes conform to a standard, and use data to enhance or improve processes Process mining has been used in health care for about a decade, however, with limited focus on quality improvement Hence, the aim of the article is to present how process Abstract Water is an important resource and a necessity for the mining and minerals processing industries The mining and mineralbased industries extract water from groundwater, streams, rivers, and lakes, for mineral processing, dust suppression, and slurry transport When the available water in mines is in excess, it can cause flooding inManaging Water Quality in Mining Areas: Changing Paradigm of
As highlighted in Chapter 1 [ 1 ], actionoriented process mining focuses on translating process mining insights into actions This is also a crucial step within the healthcare domain as only then process mining will reach its full potential as a catalyst of evidencebased process improvement [ 55 ]The equipment in underground mines provides a continuous production flow, depending on the way their quality is preserved during their operation The TR7A scraper conveyer subassemblies, Assessment Possibilities of the Quality of Mining
Different noise types in the event log impact negatively in quality issues, making that the process mining algorithm return complex, incomprehensible, or even inaccurate results Therefore, to reduce these negative effects, event log preprocessing is a necessary task in the majority of process mining algorithmsSafe and stable operation plays an important role in the chemical industry Fault detection and diagnosis (FDD) make it possible to identify abnormal process deviations early and assist operators in taking proper action against fault propagation After decades of development, datadriven process monitoring technologies have gradually Processes Free FullText A Review on DataDriven Process
Cement has hydraulic properties like slaked lime and hardens when mixed with water Compressive strength increases in time and reaches its practical top limit after 28 days Mixing crushed stoneFurthermore, Emamjome et al (Citation 2019) in a critical review of 152 process mining case studies showed that there is only a small percentage of existing studies that deal with data quality issues in an informed manner and that there is a definite lack of attention paid to (and perhaps awareness of) quality issues in the data preprocessing stage of Rootcause analysis of processdata quality problems
The sustainable development of an organisation requires a holistic approach to the evaluation of an enterprise’s goals and activities The essential means enabling an organisation to achieve goals are business processes Properly managed, business processes are a source of revenue and become an implementation of Quality mining 229 related dimensions Their findings indicated that the improvement of service quality for the final users had desirable results and had influenced the optimisation and revalidationQuality mining: a new approach for managing service quality
Dahlin et al (2019) explore process mining for quality improvement with an aim of providing propositions for practice Process mining offers ways to discover patient flow,The data mining paradigm can help in the study of air quality by providing a structured working methodology simplifying data analysis (Gong and OrdieresMeré 2016 ) As we will see below, the process starts with the data acquisition and the data preprocessing, before applying mathematical algorithmsData Mining Paradigm in the Study of Air Quality SpringerLink
