Mapping the conceptual relationship among data analysis, knowledge generation and decision-making in industrial processes

被引：4

作者：

dos Santos, Cleiton Ferreira ^{[1
]}

Piechnicki, Flavio ^{[1
]}

Rocha Loures, Eduardo de Freitas ^{[1
]}

Portela Santos, Eduardo Alves ^{[1
]}

机构：

[1] Pontifical Catholic Univ Parana PUC PR, Grad Program Prod & Syst Engn PPGEPS, 1155 Imaculada Conceicao St, BR-80215901 Curitiba, Parana, Brazil

来源：

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 | 2017年 / 11卷

关键词：

Multiple-Criteria Decision-Making/Analysis (MCDM/A); Process Mining (PM); Knowledge Discovery; Concept Map; Industry; 4.0; TOPSIS;

D O I：

10.1016/j.promfg.2017.07.305

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In accordance with Industry 4.0, data should be used for process and/or system integration, including the decision-making process. In this context, this paper aims to relate the process of decision-making with process mining through concept maps, assisting the areas of Data Engineering and Analytics. To do so, some Multiple-Criteria Decision-Making/Analysis (MCDM/A) methods will be addressed in order to conceptually highlight the relationship between knowledge and decision dimensions. As a result, the definitions about these fields of study allow perceiving an information and knowledge conciliation approach promoted by the integrated view of process mining and MCDM/A methods. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：1751 / 1758

页数：8

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