Improving data integrity in production control

被引:4
作者
Schuh, Guenther [1 ]
Potente, Till [1 ]
Thomas, Christina [1 ]
Brambring, Felix [1 ]
机构
[1] Rhein Westfal TH Aachen, Lab Machine Tools & Prod Engn WZL, D-52074 Aachen, Germany
来源
2ND CIRP GLOBAL WEB CONFERENCE - BEYOND MODERN MANUFACTURING: TECHNOLOGY FOR THE FACTORIES OF THE FUTURE (CIRPE2013) | 2013年 / 9卷
关键词
Production Planning and control; Data Integrity; Data Inconsistency; Data Mining; Association Rule Induction;
D O I
10.1016/j.procir.2013.06.166
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Studies show that companies which focus on high adherence to promised delivery dates as their main logistic goal, regularly outperform their competitors. Only with a highly accurate production planning and control (PPC) companies can accomplish this goal. However, usually there is a gap between the planned forecast of the Advanced Planning and Scheduling System and the actual output of the production system. One of the reasons for this discrepancy is inconsistent data which is collected on the shop floor and builds the foundation for the planning process. In this paper, a methodology is presented to assure higher integrity in production control data. (C) 2013 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of International Scientific Committee of the 2nd CIRP Global Web Conference in the person of the Conference Chair Dr. Sotiris Makris
引用
收藏
页码:44 / 48
页数:5
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