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The involvement of the public in the decision-making process is essential, especially in the early stages of a design process. This study aims to achieve the development of an architectural program for a memorial public project, using the outcomes of the Analytical Hierarchy Process (AHP) based on public opinion. It employs a novel approach that sharply focuses on public involvement in the design process, using a quantitative methodology for the development of a suitable building program and selecting a memorial form that meets the public's needs in a practical way. The study drew on data from various memorial projects to identify possible spaces and their selection criteria. A written questionnaire was distributed to a sample of 105 members of the public, to narrow down the number of spaces according to public response. Then, a hearing (spoken) questionnaire was conducted on a sample of 20 to produce the program for development by generating the most strongly preferred form of memorial. The results contradicted the existing norm for a memorial as a sculpture; it was revealed that most of the public preferred memorial landscapes to buildings and great structures. The study concluded that AHP could be used to further involve the relevant stakeholders in the decision-making process of the design of a public project.

This paper develops a framework for selecting the most efficient and effective preventive maintenance policy using multiple-criteria decision making and multi-objective optimization.

The critical component is identified with a list of maintenance policies, and then its failure data are collected and the optimization objective functions are defined. Fuzzy AHP is used to prioritize each objective based on the experts' questionnaire. Weighted comprehensive criterion method is used to solve the multi-objective models for each policy. Finally, the effectiveness and efficiency are calculated to select the best maintenance policy.

For a fleet of buses in hot climate environment where coolant pump is identified as the most critical component, it was found that block-GAN policy is the most efficient and effective one with a 10.24% of cost saving and 0.34 expected number of failures per cycle compared to age policy and block-BAO policy.

Only three maintenance policies are compared and studied. Other maintenance policies can also be considered in future.

The proposed methodology is implemented in UAE for selecting a maintenance scheme for a critical component in a fleet of buses. It can be validated later in other Gulf countries.

This research lays a solid foundation for selecting the most efficient and effective preventive maintenance policy for different applications and sectors using MCDM and multi-objective optimization to improve reliability and avoid economic loss.

This paper investigates thermal mass performance (TMP) in hot climates. The impact of using precast concrete (PC) as a core envelope with different insulation materials has been studied. The aim is to find the effect of building mass with different weights on indoor energy consumption, specifically cooling load in hot climates.

This research adopted a case study and simulation methods to find out the efficiency of different mass performances in hot and humid climate conditions. Different scenarios of light, moderate and heavyweight mass using PC have been developed and simulated. The impact of these scenarios on indoor cooling load has been investigated using the integrated environment solution-virtual environment (IES-VE) software.

The results showed that adopting a moderate weight mass of two PC sheets and a cavity layer in between can reduce indoor air temperature by 1.17 °C; however, this type of mass may increase the cooling demand. On the other hand, it has been proven that adopting a heavyweight mass for building envelopes and increasing the insulation material has a significant impact on reducing the cooling load. Using a PC Sandwich panel and increasing the insulation material layers for external walls and thickness by 50 mm will reduce the cooling load by 15.8%. Therefore, the heavyweight mass is more efficient compared to lightweight and moderate mass in hot, humid climate areas such as the UAE, in spite of the positive indoor TMP that can be provided by the lightweight mass in reducing the indoor air temperature in the summer season.

This research contributes to the thermal mass concept as one of these strategies that have recently been adopted to optimize the thermal performance of buildings and developments. Efficient TMP can have a massive impact on reducing energy consumption. However, less work has investigated TMP in hot and humid climate conditions. Furthermore, the impact of the PC on indoor thermal performance within hot climate areas has not been studied yet. The findings of this study on TMP in the summer season can be generated in all hot climate zones, and investigating the TMP in other seasons can be extended in future studies.

The purpose of this paper is to assess the potential of renewable energy as an essential future energy source in the Gulf Cooperation Council (GCC) region. This paper summarizes the main projects and measures established to start the transition toward renewable energy. The opportunities and challenges for developing renewable energy projects have been discussed to reach a better understanding of the future of renewable energy in the region.

The paper provides a literature-based study on the status of the renewable energy sector in the GCC, including potentials, projects, targets and strategies. The opportunities and challenges of the development of renewable energy sources in the GCC region have been discussed based on the literature.

The paper shows that the GCC countries have begun to adopt a more proactive approach toward renewable energy, while the reorientation of strategies and plans for renewable energy is evolving in these countries. All of the GCC countries focus on solar and wind energies and plan to invest in waste-to-energy (WtE), while only Saudi Arabia is interested in going for geothermal.

The paper contributes to the provision of an extensive literature review on the development of renewable energy in the GCC countries. It provides an updated and comprehensive overview of the region’s renewable energy potential and highlights the main renewable energy strategies and targets. This paper targets regional decision-makers as well as multilateral stakeholders to formulate a set of recommendations to promote renewable energy deployment and improve industrial capabilities.

The purpose of this paper is to develop a strategic maintenance performance measurement system.

In response to this purpose, a balanced scorecard framework was adopted to assess the contribution of support functions (such as maintenance) to strategic business objectives. A case study approach was used to test the suggested framework at a Swedish paper mill.

It was found that by using the suggested framework it was possible to measure and identify the cause‐and‐effect relationship of using an effective maintenance strategy, and assess its impact on the company's competitive advantages. For example, it was found that there is potential to, ideally, improve the company's return on investment (ROI) by 9 per cent. This figure represents a projected US$8.4 million in lost profits, which are caused by planned inoperative time and overall equipment effectiveness (OEE) elements. At least 14 per cent of the ROI potential improvements are directly related to the maintenance function as lost profit, which is due to unplanned stoppages and bad quality caused by maintenance‐related problems.

Using the modified BSC provides a framework whereby the contribution of support functions (for example, maintenance) to the strategic business objectives can be assessed. The modified BSC makes it easier for the maintenance and production staff who are technically oriented to communicate with top management in terms that managers understand, i.e. in terms of money. Furthermore, this approach facilitates the making of cost‐effective decisions.

The present study contributes to our knowledge of this process by changing the status of the “maintenance function”. This is done by showing that maintenance is no longer a cost centre, but should be regarded as a profit generating function.

In manufacturing systems intelligent techniques are being used to integrate and interpret data from multiple sensors to predict tool wear and tool life. Less attention is devoted to developments of integrated condition monitoring systems, which enable the user to evaluate a multi‐variant system based on the data collected from, e.g. maintenance, quality, production, etc. In this paper we discussed different approaches of how to keep availability, quality and productivity at high levels. Also, we proposed a new approach for an expert system concept, which is characterised by using a total quality maintenance (TQMain) concept; having a common database, and a continuously improved knowledge base with an intelligent inference engine. It can enhance data reliability, decision making certainty, remove the redundancy in monitoring systems, and allow the user to detect and eliminate reasons behind variations through effective diagnosis and prognosis. This will enhance the performance‐efficiency, availability and quality rate, i.e. overall equipment effectiveness of the manufacturing systems.