Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process

被引:127
作者
Kunath, Martin [1 ]
Winkler, Herwig [1 ]
机构
[1] BTU Cottbus Senftenberg, Chair Prod & Operat Management, Siemens Halske Ring 6, D-03046 Cottbus, Germany
来源
51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS | 2018年 / 72卷
关键词
Digital Twin; Order Management Process; Industry; 4.0; Digitalization; Decision Support System; MODEL GENERATION; SIMULATION;
D O I
10.1016/j.procir.2018.03.192
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Today's manufacturing companies need to adapt more than ever to changing customer needs, rising resource costs and increasing uncertainties. A promising way to face these issues is the digitalization of the manufacturing system. Key elements of the digitalization are cyber-physical systems (CPS) and the cyber-physical production system (CPPS). In the last years, the Digital Twin has become a synonym for the cyber-part of CPS and CPPS. In this paper, a conceptual framework and potential applications of a decision support system for the order management process are discussed, that is based on the Digital Twin of the manufacturing system. 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 51st CIRP Conference on Manufacturing Systems.
引用
收藏
页码:225 / 231
页数:7
相关论文
共 35 条
[1]   Digital manufacturing market: a semantic web-based framework for agile supply chain deployment [J].
Ameri, Farhad ;
Patil, Lalit .
JOURNAL OF INTELLIGENT MANUFACTURING, 2012, 23 (05) :1817-1832
[2]  
Banks J., 2010, DISCRETE EVENT SYSTE, V5th ed., DOI DOI 10.2307/1268124
[3]   A STATE-OF-THE-ART SURVEY OF DISPATCHING RULES FOR MANUFACTURING JOB SHOP OPERATIONS [J].
BLACKSTONE, JH ;
PHILLIPS, DT ;
HOGG, GL .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1982, 20 (01) :27-45
[4]   Volatility of sales, expectation errors, and inventory investment: Firm level evidence [J].
Bo, H .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2001, 72 (03) :273-283
[5]  
Boschert S., 2016, Mechatronic futures: Challenges and solutions for mechatronic systems and their designers, P59, DOI 10.1007/978-3-319-32156-15
[6]   A seamless convergence of the digital and physical factory aiming in personalized Product Emergence Process (PPEP) for smart products within ESB Logistics Learning Factory at Reutlingen University. [J].
Brenner, Beate ;
Hummel, Vera .
6TH CIRP CONFERENCE ON LEARNING FACTORIES, 2016, 54 :227-232
[7]  
Buzacott JA, 2013, PRODUCTION PLANNING
[8]   The role of the forecasting process in improving forecast accuracy and operational performance [J].
Danese, Pamela ;
Kalchschmidt, Matteo .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2011, 131 (01) :204-214
[9]   Complexity in engineering design and manufacturing [J].
ElMaraghy, Waguih ;
ElMaraghy, Hoda ;
Tomiyama, Tetsuo ;
Monostori, Laszlo .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2012, 61 (02) :793-814
[10]  
Glaessgen E., 2012, P 33 AIAA ASME ASCE, DOI DOI 10.2514/6.2012-1818