Hani Shafeek

Assessment and Analysis of Wind Power Resource Using Weibull Parameters

In this study, wind data of eleven years (2002–2012) 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.

Continuous improvement of maintenance process for the cement industry – a case study

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 main...

Cycle time analysis of tipping trailer frame: A case study in a heavy equipment industry

A key element with which manufacturing industries should concern themselves in respect of cost and efficiency of operation is the cycle time for preparing their products. A reduction in operational time can result in dramatic improvements in both cost and efficiency. Unfortunately, cycle time problems are sometimes difficult to analyse: there are many factors related to this parameter. This paper presents a cycle time analysis of a tipping trailer frame in a heavy equipment industry. The cycle time analysis, based on the cycle time data collected by a time study, together with the use of an Arena software simulation, is outlined. From the results of this study, it was found that the manufacturing cycle time was 56 hours, and that resources were under-utilised.

Production Line Performance by Using Queuing Model

Abstract The efficiency of a production system is mainly characterized by batch size and throughput. To ensure system efficiencies, batch size and throughput must be in conformity to achieve optimum utilization. This paper discusses the use of Queuing Network Theory to study the effect of batch size and throughput in optimizing resource utilization, particularly machine resources in a manufacturing system. A factory in the manufacturing industry performing assembly operations in its production lines was the focus of this study. The result of the study was that when batch size and throughput are increased, the utilization also increases proportionately. Bottleneck will occur when the capacity is not enough to meet the demand requirement.