Identifying and Analysing Data for Cost-Effective Maintenance Decision-Making
The problem addressed is: How to identify the relevant variables and performance measures that should be monitored for achieving cost-effective maintenance decisions that enhance companys business? The main result achieved is a model for identifying relevant data required for accurate problem tracing and localisation within maintenance and production processes using a top down approach. The potential of applying the model is illustrated in a case study including databases of two commercial software programs. The mahi conclusion drawn: By integrating data resources within the enterprise a holistic view of the production process can be achieved.
maintenance decision-making top-down methods data acquisition.
Basim Al-Najjar Mirka Kans
Department of Terotechnology, School of Technology and Design, V(a)xj(o) University, Sweden
国际会议
The First International Conference on Maintenance Engineering(首届维修工程国际学术会议)
成都
英文
14-21
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）