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Dr. adel alshibani
KFUPM construction management department

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0 Earthmoving
0 Ann
0 Predicting model
0 Cost estimation
0 Construction and Project Management

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Journal article
Published: 21 May 2021 in Journal of Engineering, Project, and Production Management
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An endeavor to predict the optimum contingency value that balances between maintaining business competitiveness and achieving project objectives is definitely an essential contributor to the survival of contractors. The chief objective of this research, therefore, is to develop a mathematical prediction model of the optimum cost contingency value for building projects in Saudi Arabia. The analytical hierarchy process (AHP) technique was used to define the most significant risk factors inherent in public work projects. The multi attribute utility theory (MAUT) technique was used to measure contractors’ risk attitudes and to establish the utility functions through MATLAB. The required data to build the model for the AHP and MAUT were collected from 17 contractors mostly through intensive face-to-face interviews and email-response to a developed structured questionnaire. The integrated contingency model reflects the basic dimensions of risk and considers the various risk attitudes of contractors. The model has been implemented in prototype software using object-oriented programming. Two completed local building construction projects were used to validate and demonstrate the use of the developed model in recommending the optimum cost contingency value for building projects in Saudi Arabia. The developed model was proven reliable in estimating the contingency with an accuracy skewed 9% to the high side.

ACS Style

Ali Ali Shash; Mohammad Al-Salti; Adel Alshibani; Laith Hadidi. Predicting Cost Contingency Using Analytical Hierarchy Process and Multi Attribute Utility Theory. Journal of Engineering, Project, and Production Management 2021, 11, 228 -242.

AMA Style

Ali Ali Shash, Mohammad Al-Salti, Adel Alshibani, Laith Hadidi. Predicting Cost Contingency Using Analytical Hierarchy Process and Multi Attribute Utility Theory. Journal of Engineering, Project, and Production Management. 2021; 11 (3):228-242.

Chicago/Turabian Style

Ali Ali Shash; Mohammad Al-Salti; Adel Alshibani; Laith Hadidi. 2021. "Predicting Cost Contingency Using Analytical Hierarchy Process and Multi Attribute Utility Theory." Journal of Engineering, Project, and Production Management 11, no. 3: 228-242.

Journal article
Published: 02 December 2020 in Sustainability
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The application of renewable energy has been an integral part of the sustainability drive in the building sector and solar photovoltaic (PV) is one of the most effective technologies in this respect. The present study aims to investigate the prospects of solar PV in residential buildings in the hot–humid climatic conditions. The study discusses the utilization of building roofs for the application of PV in terms of potential hurdles and utilization factor (UF). Technical performance of PV systems has also been investigated in terms of power output as well as the energy saved as a result of the shading impact of panels for two types of residential units, apartments and villas. Investigation of 70 sample residential buildings reveals the average UF of 0.21 and 0.28 for apartments and villas, respectively. For the case study of apartment and villa residential units, roof UF has been found to be 13% and 15% with a respective PV output of 6079 kWh/year and 6162 kWh/year. Potential PV output at the city level has also been estimated. A sensitivity analysis has been conducted to evaluate the impact of various cost and design parameters on the viability of PV systems.

ACS Style

Ammar Dehwah; Muhammad Asif; Ismail Budaiwi; Adel Alshibani. Techno-Economic Assessment of Rooftop PV Systems in Residential Buildings in Hot–Humid Climates. Sustainability 2020, 12, 10060 .

AMA Style

Ammar Dehwah, Muhammad Asif, Ismail Budaiwi, Adel Alshibani. Techno-Economic Assessment of Rooftop PV Systems in Residential Buildings in Hot–Humid Climates. Sustainability. 2020; 12 (23):10060.

Chicago/Turabian Style

Ammar Dehwah; Muhammad Asif; Ismail Budaiwi; Adel Alshibani. 2020. "Techno-Economic Assessment of Rooftop PV Systems in Residential Buildings in Hot–Humid Climates." Sustainability 12, no. 23: 10060.

Case report
Published: 25 August 2020 in Applied Sciences
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The energy consumption of a constructed facility is a primary concern as a result of its impact on the total energy expenditure. It has been found that up to 70% of the power consumption in Saudi Arabia are caused by building structures and air conditioning (AC). Energy consumption in government-constructed buildings constitutes a considerable ≈13% of the consumption of the total energy in Saudi Arabia. Therefore, the government of Saudi Arabia initiated the Saudi Energy Efficiency Program (SEEP) that goals to lower the domestic energy severity by roughly 30% by 2030. This paper introduces a study carried out in Eastern Province in Saudi Arabia to identify factors influencing the consumption of energy in school facilities (which are built of concrete in hot and humid climate zones), investigate the correlation between those factors and their impacts on the consumption of energy in school facilities, and finally, develop a prediction model for the energy consumption of school facilities. The study was based on the utilization of 352 real-world datasets of energy consumption of operating schools across Eastern Province in Saudi Arabia. The developed energy prediction model considers eleven identified factors that influence the consumption of energy of constructed schools. The identified factors were utilized as input variables to build the model. A systematic search among different neural network (NN) design architectures was conducted to identify the optimal network model. Validation of the developed model on eight real-world cases demonstrated that the accuracy of the developed model was about 87.5%. Moreover, the findings of this study indicate that the weakest correlation between the input variables was recorded as −0.015 between “type of school” and “AC capacity,” while the strongest correlation was recorded as 0.95 between the variables of “number of classrooms” and “total air-conditioned area (sqm),” followed by “total air-conditioned area (sqm)” and “number of students,” which was recorded as 0.90. It is worth noting that “AC capacity” was the most significant predictor, which increased exponentially for high values of energy consumption, followed by “total school roof area.” The study also found that the age of the schools had a very small impact on energy consumption, although the age of the schools varied from 11 to 51 years. This was probably due to a good maintenance system applied by the Ministry of Education. The implication of the developed prediction model was that the model can be used by the Ministry of Education to predict the energy consumption and its associated cost for public school buildings for the purpose of budget allocation. The model may be utilized as a stand-alone application, or it can be integrated with an existing building information module (BIM)-based system.

ACS Style

Adel Alshibani. Prediction of the Energy Consumption of School Buildings. Applied Sciences 2020, 10, 5885 .

AMA Style

Adel Alshibani. Prediction of the Energy Consumption of School Buildings. Applied Sciences. 2020; 10 (17):5885.

Chicago/Turabian Style

Adel Alshibani. 2020. "Prediction of the Energy Consumption of School Buildings." Applied Sciences 10, no. 17: 5885.

Journal article
Published: 20 April 2019 in Buildings
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There have been many studies done on the causes of delay on construction projects and building projects all around the world. They use different methods, on different geographical areas, and they come up with different results. There are, however, few studies on industrial and building projects. This paper focuses on industrial/manufacturing projects in Saudi Arabia. The aim of this paper is to identify the major causes of delay in the manufacturing projects in Saudi Arabia. The top causes of delay have been identified through a literature survey and interviews with experts from the industrial field in Saudi Arabia. Twenty-two factors have been identified and listed in a survey that was distributed to professionals in the same field. Two categorizations were made: the first is based on the impact of the cause, and the second is based on the frequency of occurrence of the identified cause. It has been found that the top five impacted causes of delay in the delivery of industrial projects in Saudi Arabia are: difficulties in financing project by contractor/manufacturer, late procurement of materials, late delivery of materials, delay in progress payments, and delay in approving design documents, respectively. In terms of frequency, the top five identified causes are: delay in progress payments, difficulties in financing project by contractor/manufacturer, slowness in decision making, late procurement of materials, and delay in approving design documents, respectively. The diversity of the participants is an important point; therefore, the respondents were from different job positions (management, engineering, etc.), and different categories (contractor, owner, manufacturer, consultant, etc.). It is worth noting that this paper serves not only as an authentic study of the causes of delay in the delivery of industrial projects in Saudi Arabia which is a field that is not widely covered, but also as a fresh paper that gives an indication of the changes that happen to the business over time as compared to previous work.

ACS Style

Hussein Abdellatif; Adel Alshibani. Major Factors Causing Delay in the Delivery of Manufacturing and Building Projects in Saudi Arabia. Buildings 2019, 9, 93 .

AMA Style

Hussein Abdellatif, Adel Alshibani. Major Factors Causing Delay in the Delivery of Manufacturing and Building Projects in Saudi Arabia. Buildings. 2019; 9 (4):93.

Chicago/Turabian Style

Hussein Abdellatif; Adel Alshibani. 2019. "Major Factors Causing Delay in the Delivery of Manufacturing and Building Projects in Saudi Arabia." Buildings 9, no. 4: 93.

Journal article
Published: 10 December 2018 in Buildings
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The construction of a new facility in an urban area, such as a downtown area, involves considerable earthwork excavation most of the time. Measuring the actual productivity of earthwork operations that involve heavy machinery can be a complex task for project managers. The complexity contributes to the impact of the many factors involved, the required accuracy, and the uncertainties associated with such operations. Traditionally, measuring actual productivity is carried out manually by measuring the actual quantities of the excavated earth. Measuring actual productivity manually is time-consuming and not necessarily accurate. The paper presents a case study project in Montreal to investigate the application of a developed methodology that is affordable for small to medium size contractors. It integrates the GPS and fuzzy set theory as an alternate effective methodology for measuring actual onsite productivity during the construction stage in an urban area. The developed methodology combines GPS data that are collected in near real time, fuzzy set theory (FST), and Google Earth. FST is used to define the variability and uncertainty which exists in the duration of the main activities of the earthwork (loading, traveling, dumping, and returning). Google Earth is used for graphical presentation and to store the collected GPS data of the moving hauling units. The productivity estimated by the developed methodology was compared with that provided by a simulation-based model, in which the collected GPS data are used to define the duration of earthmoving moving operations, and with that measured manually by contractor. The developed methodology proves that the utilization of GPS data and FST can yield a more accurate estimation of onsite actual productivity compared to that provided by simulation-based approaches, but in much a simpler way regarding the computation effort and time.

ACS Style

Adel Alshibani. Automation of Measuring Actual Productivity of Earthwork in Urban Area, a Case Study from Montreal. Buildings 2018, 8, 178 .

AMA Style

Adel Alshibani. Automation of Measuring Actual Productivity of Earthwork in Urban Area, a Case Study from Montreal. Buildings. 2018; 8 (12):178.

Chicago/Turabian Style

Adel Alshibani. 2018. "Automation of Measuring Actual Productivity of Earthwork in Urban Area, a Case Study from Montreal." Buildings 8, no. 12: 178.

Journal article
Published: 25 June 2018 in Energies
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This paper presents a study conducted to identify, assess, rank, and compare the most influencing factors causing schedule delays during the construction phase of petrochemical projects in Saudi Arabia. The methodology followed in this research to achieve the main aims is a combination of the comprehensive review of the literature and the interviewing of a number of local experts, which have resulted in identifying 23 factors. A total of 90 completed responses were gathered from 106 received responses. The study found that the most influencing factors causing schedule delays during the construction of petrochemical projects in Saudi Arabia are “Poor site management and supervision by contractors”; “Conflict between the main contractor and subcontractor”; “Poor planning and scheduling of projects by the contractor”; “Delays in material or equipment delivery”; and followed by “Delays in Handing Over Construction Site to the Contractor”. This paper is original in the sense that the areas of knowledge and practice covered in the identified factors were distributed and not available in one source. The factors are derived from personal interviews with selected project managers, project engineers, construction supervisors, and the others from different positions in the project department and from the relevant literature.

ACS Style

Abdullah Rasheed Alhajri; Adel Alshibani. Critical Factors behind Construction Delay in Petrochemical Projects in Saudi Arabia. Energies 2018, 11, 1652 .

AMA Style

Abdullah Rasheed Alhajri, Adel Alshibani. Critical Factors behind Construction Delay in Petrochemical Projects in Saudi Arabia. Energies. 2018; 11 (7):1652.

Chicago/Turabian Style

Abdullah Rasheed Alhajri; Adel Alshibani. 2018. "Critical Factors behind Construction Delay in Petrochemical Projects in Saudi Arabia." Energies 11, no. 7: 1652.

Case report
Published: 24 May 2018 in Buildings
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This paper presents an approach developed for selecting lighting systems in residential buildings using an Analytic Hierarchy Process (AHP) and the Multi Criteria Decision Making Technique (MCDMT). The developed approach considers four selection criteria of lighting systems: life-cycle cost, illumination, environmental performance, and life-span. The criteria of selection, along with the most widely used lighting systems in residential buildings, were determined through questionnaire surveys with suppliers, maintenance managers, and lighting experts. The Analytic Hierarchy Process and Multi Attribute Utility Theory were utilized to assess the significant influence of the identified main and sub-criteria on the selection process, from the design point of view. The developed approach was tested on a real case project in selecting the lighting system for aresidential building in Saudi Arabia. The obtained results show that the life-cycle cost and illumination proprieties, followed by the service life were found to be the most influential measures in the selection process. The results also show that Light-Emitting Diode(LED) lighting systems prove to bear the highest initial cost while sustaining the best overall performance.

ACS Style

Othman Alshamrani; Adel Alshibani; Mohammed Alogaili. Analytic Hierarchy Process & Multi Attribute Utility Theory Based Approach for the Selection of Lighting Systems in Residential Buildings: A Case Study. Buildings 2018, 8, 73 .

AMA Style

Othman Alshamrani, Adel Alshibani, Mohammed Alogaili. Analytic Hierarchy Process & Multi Attribute Utility Theory Based Approach for the Selection of Lighting Systems in Residential Buildings: A Case Study. Buildings. 2018; 8 (6):73.

Chicago/Turabian Style

Othman Alshamrani; Adel Alshibani; Mohammed Alogaili. 2018. "Analytic Hierarchy Process & Multi Attribute Utility Theory Based Approach for the Selection of Lighting Systems in Residential Buildings: A Case Study." Buildings 8, no. 6: 73.

Preprint
Published: 14 May 2018
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This paper presents a study conducted to identify, assess, rank, and compare the most influencing factors causing schedule delay during construction phase of petrochemical projects in Saudi Arabia. The methodology followed in this research to achieve the main aims is a combination of comprehensive review of the literature and interviewing number of local experts, which have resulted in identifying of 23 factors. Through a web-based questionnaire survey, the identified factors were ranked. Total of 90 completed responses were gathered from 106 received responses. The completed responses gathered from 38 contractors and 52 owners. Of 90 participants, there are 32 project managers, 22 project engineers, 7 construction supervisors and the other 31 having different positions in projects departments The study has found that the most influencing factors causing schedule delay during construction in petrochemical projects in Saudi Arabia are “Poor site management and supervision by contractors”; “Conflict between main contractor and subcontractor”; “poor planning and scheduling of projects by contractor”; “Delay of material or equipment delivery”; and followed by “Delay in Handing Over Construction Site to Contractor”. This paper is original in the sense that the areas of knowledge and practice covered in the identified factors were distributed and not available in one source. The factors are derived from personal interviews with selected project managers, project engineers, construction supervisors and the others from different positions in project department and from the relevant literature.

ACS Style

Abdullah Alhajri; Adel AlShaibani. Causes of Construction Delay in Petrochemical Projects in KSA. 2018, 1 .

AMA Style

Abdullah Alhajri, Adel AlShaibani. Causes of Construction Delay in Petrochemical Projects in KSA. . 2018; ():1.

Chicago/Turabian Style

Abdullah Alhajri; Adel AlShaibani. 2018. "Causes of Construction Delay in Petrochemical Projects in KSA." , no. : 1.

Journal article
Published: 02 November 2017 in Journal of Taibah University for Science
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This paper introduces a novel conceptual system to predict the energy cost of residential buildings in the Kingdom of Saudi Arabia (KSA). The paper briefly describes the main models of the developed system to maintain continuity and focuses on the energy cost prediction model. The developed system aims to assist architects in designing residential buildings to minimise energy costs under Saudi Arabian environmental conditions. The system was built based on data collected from house owners in six cities in the eastern province of KSA. The initial results of validating the model demonstrate the systemâs capabilities in assisting architects in the selection of the optimum architectural design. Keywords: ANN, BIM, cost, energy, prediction, Saudi Arabia, optimu

ACS Style

Adel Alshibani; Othman Subhi Alshamrani. ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia. Journal of Taibah University for Science 2017, 11, 1317 -1329.

AMA Style

Adel Alshibani, Othman Subhi Alshamrani. ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia. Journal of Taibah University for Science. 2017; 11 (6):1317-1329.

Chicago/Turabian Style

Adel Alshibani; Othman Subhi Alshamrani. 2017. "ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia." Journal of Taibah University for Science 11, no. 6: 1317-1329.