A Framework for Integrated Proactive Maintenance Decision Making and Supplier Selection

被引：3

作者：

Bousdekis, Alexandros ^{[1
]}

Papageorgiou, Nikos ^{[1
]}

Magoutas, Babis ^{[1
]}

Apostolou, Dimitris ^{[1
,2
]}

Mentzas, Gregoris ^{[1
]}

机构：

[1] Natl Tech Univ Athens NTUA, Inst Commun & Comp Syst ICCS, Informat Management Unit IMU, Athens, Greece

[2] Univ Piraeus, Dept Informat, Piraeus, Greece

来源：

ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: THE PATH TO INTELLIGENT, COLLABORATIVE AND SUSTAINABLE MANUFACTURING | 2017年 / 513卷

关键词：

Condition Based Maintenance; Supplier selection; Proactive computing; Event processing; MANAGEMENT; OIL;

D O I：

10.1007/978-3-319-66923-6_49

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The increasing use of sensors in manufacturing enterprises has led to the need for real-time data-driven information systems capable of processing huge amounts of data in order to provide meaningful insights about the actual and the predicted business performance. We propose a framework for real-time, event-driven proactive supplier selection driven by Condition Based Maintenance (CBM). The proposed framework was tested in a real in automotive lighting equipment scenario.

引用

页码：416 / 424

页数：9

共 13 条

[1]

[Anonymous], 2015, P 9 ACM INT C DISTRI

[2] A proactive event-driven decision model for joint equipment predictive maintenance and spare parts inventory optimization [J].