Plant Maintenance

This paper highlights the most important care priorities of Date Palm (DP) tree as one of important loops that aimed enhancing the quality of the performance and develop maintenance operations for greening projects in Abu Dhabi (AD), in line with the social responsibility of the municipality and embodies its vision to ensure the better quality of life and sustainable environment for AD residents. At the beginning, it reminds the importance of this blessed tree, which mentioned in the Holy Koran and the Sunnah. It touches the latest monitoring of DP varieties in UAE, and their groups according to the date maturity, explains and deals with clarifying local scheduling operations for DP care. The paper shows the importance of periodic emphasis on correct applications care according to their scheduled time that leads to stronger growth and better production which are the important components of mechanical and biological control against various pathogens or insects that can affect the DP tree at all stages , the paper presents the most mistaken practices in the performance of DP care and utilize them positively on behalf of the development of DP care. At the end, the paper shows most of the DP services throughout the year in calendar table. To replace the notion "that there is a pesticide for each disease or insect by concept “that each disease has its causes that must be limited”, therefore the calendar warns about the importance of periodic emphasis on correct applications care according to their scheduled time. As a conclusion, it can be adopted as a guide for developing the DP care practices in Abu Dhabi Emirate.

Keywords: local scheduling operations, Rachis Base , Bunch Curving , pollination , fruits thinning technique, , fruit bunching. DP Sanitary Care.

Enterprise Resource Planning System has been integral part of every business or industry. The purpose of this research is to concentrate on enterprise resource planning system and its potential effect on information management in an organization.

Silicon Epitaxial Deposition is a process strongly influenced by wafer temperature behaviour, that has to be constantly monitored to avoid the production of defective wafers. However, temperature measurements are not reliable and the sensors have to be appropriately calibrated with some dedicated procedure. A Predictive Maintenance (PdM) System is proposed here with the aim of predicting process behaviour and scheduling control actions on the sensors in advance. Two different prediction techniques have been employed and compared: the Kalman predictor and the Particle Filter with Gaussian Kernel Density Estimator. The accuracy of the PdM module has been tested on real industrial production datasets.