Purpose – The purpose of this paper is to describe the most important areas of maintenance management system for heavy industries for helping maintenance mangers to focus on measuring the effectiveness of maintenance system. This work aimed at inferring relationships between maintenance management, maintenance practices and maintenance improvement. Design/methodology/approach – In relation to maintenance management, as a case study approach, it can be applied to continuous improvement maintenance systems through 15 maintenance process areas. Findings – The general picture evidences some criticalities, such as those areas which help in the success of maintenance management and areas which lead to the failure of maintenance management. It was found that by using the maintenance management system in the cement industry, it was possible to measure and improve about 15 percent maintenance performance which can be achieved by enhancing maintenance in the suggested areas. Practical implications – Continuous maintenance improvement (CMI) is an ongoing effort to improve maintenance aimed at maintenance process simplification and reduction or elimination of maintenance process waste. To support CMI, maintenance engineers continually examine maintenance processes to discover and eliminate problems. Originality/value – Other researchers have reported on the maintenance management system, but most of them have focussed on limited areas. The lack of useful and practical research has been determined. It seems that the scientific knowledge of maintenance management still needs more effort. This study is one of the first in-depth studies into actual condition-based maintenance practice to test 15 maintenance process areas.

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In this study, wind data of eleven years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) has been used to determine wind characteristics of Saudi Arabian city Jeddah. These characteristics include the daily, monthly and annual wind speed, wind probability density distribution, shape (k) and scale (c) parameters at 10 m height. The analysis revealed that yearly values of k ranged from 1.398 to 1.763 with a mean value of 1.590 and values of scale parameter c varied from 3.146 to 4.329 with mean value of 3.95. Furthermore, the results showed that maximum and minimum wind power potential was observed in the month of March and February, respectively. The wind was found to be blowing predominantly from south east direction. It was found that wind potential of the region can be used for small scale off-grid wind applications.

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