Day 1 :
Keynote Forum
Majid Jaridi
West Virginia University, USA
Keynote: Analysis of the potential of renewable energy development in Saudi Arabia
Time : 10:15 - 11:00
Biography:
Dr. Majid Jaridi is a Professor of Industrial and Management Systems Engineering at West Virginia University. He earned his PhD in Industrial and Operations Engineering from the University of Michigan in 1983. He teaches courses in the areas of Statistical Design of Experiments, Quality Engineering, Forecasting, and Decision Analysis. He also serves as the Director of West Virginia Space Grant Consortium, a consortium of 12 colleges and several high technology companies in West Virginia. Dr. Jaridi’s research areas include forecasting and time series analysis, transportation planning, design of experiments, and decision analysis.
Abstract:
Saudi Arabia is a nation that has been exploring the potential of renewable energy for many years. Saudi authorities, scientists and researchers view renewable energy as a preferable long-term energy strategy. Despite this, because Saudi Arabia is one of the leading oil producing nations and relies heavily on it as a form of energy, solar energy has not been given much serious consideration. Solar and wind energy are the best sources of renewable energy in Saudi Arabia; however, because of the large amount of oil in the country, most do not want to explore the option of renewable energy. Hence, it is essential to explore the alternative sources to insure reliable supply for potential future need. The main objectives of this research were to: Establish the potential of solar and wind energy generation as a suitable, cost-effective alternative to petroleum products and; to establish the potential for maximizing renewable power generation to support the grid supply to Saudi cities. We developed three different forecasting models for 32 Saudi cities: the decomposition method, multiple linear regressions (linear trend model) and multiple linear models (seasonal model). We then selected a preferred model that can best forecast the amount of renewable energy capacity in the forecasting horizon. Using software written for this research, we developed an economic model to evaluate the cost of generation and transmission of solar as well as wind energy at the selects cities in Saudi Arabia.
- Industrial Engineering
Location: 1
Chair
Hamed Fazlollahtabar
Mazandaran University of Science and Technology, Iran
Session Introduction
Muzaffar A Shaikh
Florida Institute of Technology, USA
Title: A fast plant-location heuristic using influencing factors
Biography:
Muzaffar A Shaikh completed his PhD in Industrial Engineering from the University of Illinois, Urbana Champagne. Currently, he is Associate Vice President for International Partnerships, Distinguished Professor, and Head of the Engineering Systems Department at Florida Institute of Technology, Melbourne, Florida, USA.
Abstract:
Globalization today has made the problem of locating a new plant extremely difficult due to a myriad of extra factors that did not possess high priority in the past. First, multinational corporations are engaged more than before in manufacturing parts of the same end product in different countries to minimize the cost of production. This contributes to considering additional factors (e.g., local culture, political stability, economic stability, safety and security, etc.) while evaluating plant location. Second, complexities arise when it comes to assembling parts together into the end product due to differing manufacturing standards of various countries. This abstract presents a numerical heuristic that uses pertinent influencing factors, computes their ratings to square grids formed by dividing the given area of interest (AoI). The heuristic starts with first evaluating larger grids (e.g., 100x100 miles) against influencing factors. Next, it utilizes initial results and reduces the larger AoI into smaller focused areas with a smaller set of grids. Grid sizes are reduced at the discretion of the industrial engineer to perform more focused analysis ofthe new AoI. This iterative process of grid evaluation continues until the engineer is satisfied with the most acceptable overall grid score. A key advantage of the heuristic is the ability to tweak input parameters to both determine the sensitivity of grid score to critical environmental factors and to attempt ‘what if’ scenarios.
Hamed Fazlollahtabar
Mazandaran University of Science and Technology, Iran
Title: Scheduling of multiple robots for a parallel assembly line using minimum cost network flow
Biography:
Hamed Fazlollahtabar is an Assistant Professor at the Faculty of Management and Technology of Mazandaran University of Science and Technology, Iran. He has done his BSc and MSc in Industrial Engineering from Mazandaran University of Science and Technology, Babol, Iran in 2008 and 2010, respectively. He has received his PhD in Industrial and Systems Engineering from Iran University of Science and Technology, Tehran, Iran in 2015. He is in the Editorial Board of WASET (World Academy of Science Engineering Technology) Scientific and Technical Committee on Natural and Applied Sciences, International Journal of Information and Decision Sciences, International Journal of Humanities and Social Sciences, and Member of the International Institute of Informatics and Systemics (IIIS). He has published over 200 research papers in international book chapters, journals and conferences. He has also published 5 books out of which three of them are internationally distributed to the academicians.
Abstract:
This research proposed a parallel automated assembly line system to produce multiple products having multiple autonomous guided vehicles (AGVs). Several assembly lines are configured to produce multiple products in which the technologies of machines are shared among the assembly lines when required. The transportation between the stations in an assembly line (intra assembly line) and among stations in different assembly lines (inter assembly line) are performed using AGVs. Scheduling of AGVs to service the assembly lines and the corresponding stations are purposed. In the proposed problem the assignment of multiple AGVs to different assembly lines and the stations are performed using minimum-cost network flow (MCF). It optimizes weighted completion time of tasks for each short-term window by formulating the task and resource assignment problem as MCF problem during each short-term scheduling window.
Amrita Jain
Manipal University, Dubai Campus, UAE
Title: Supercapacitors: Types, materials and applications
Biography:
Amrita Jain completed her PhD in 2014 from Department of Physics, Jaypee University of Engineering and Technology, India. She is working as an Assistant Professor in School of Engineering and IT, Manipal University, Dubai Campus. She has published more than 11 papers in peer reviewed journals. She is also co-author of books published with German publishers. She is also recipient of Young Scientist Award for her outstanding work in the field of energy storage devices by Govt. of Madhya Pradesh, India in 2012.
Abstract:
Supercapacitors or ultracapacitors are considered as one of the most upcoming and promising candidates for power devices in future generations. Because of its appealing properties, it is suitable for many advanced applications like hybrid electrical vehicles and similar other power devices and systems. In order to use this device in power applications, its energy and power density needs to be maximized. A lot of results from published work in the form of research and review papers, patents and reports are available this time. The purpose of this article is to re-look the journey of the materials used for supercapacitors with focus on the energy storage capability for practical applications. Moreover article also addresses the principal technological challenges which the research society is facing in the field of supercapacitors.
Biography:
Ahmet Feyzioglu has completed his PhD in 2012 from Marmara University and Post-doctoral studies from University of Manchester, Institute of Innovation Research. He has been working in the Department of Mechanical Engineering of the Marmara University since 2013.
Abstract:
The manufacturing processes are realized with effective implementation of automation. In this study, optimum revolution and feed rate values for different kinds of metals undergoing spinning manufacturing process are given. Spinning which is a chipless forming process used to produce axisymmetric parts, is one of the difficult manufacturing process to implement automation. If the process is done without any caution, some defects such as wrinkling, tearing or cracking, could be present in the spinning part. These are caused by applying unacceptable feeds and rpms to material and diameter. In order to reduce defects the material needs to be spun using appropriate feed rates and revolution per minutes. These values differ for each alloy of different diameter. There have been methods used to predict the behavior of the material in spinning. One example is in shear spinning surface roughness where required force can be determined by regression analysis. In this paper, scalar values for some of the parameters will be provided so that they can be applied directly to the forming process. The optimum values for some metals along with the related diameter are given for implement automation to spinning process.
Zin Eddine Dadach
Higher Colleges of Technology, UAE
Title: Effect of summer weather conditions on the environmental impact of a power plant in the UAE
Biography:
Zin Eddine Dadach obtained his Bachelor’s degree in Refining and Petro-chemistry from the Algerian Institute of Petroleum in 1980. He received his Master’s degree in Chemical Engineering from Stevens Institute of Technology (Hoboken, NJ; USA) in 1984. He obtained his PhD degree in Chemical Engineering from Laval University (Quebec, Canada) in 1994 and conducted a research in enzymatic degradation of biomass at the Osaka National Research Institute (Osaka, Japan) for two years. Since he joined the Higher Colleges of Technology (Abu Dhabi, UAE) in 2005, he has developed active learning strategies to enhance the intrinsic motivation of students. He supervised a number of students’ final industrial projects including the exergy analysis of power generation plants.
Abstract:
This work investigates the effect of summer weather conditions on the environmental impact of an Open Cycle Gas Turbine in Abu Dhabi (UAE) using an exergoenvironmental analysis. The results are used to suggest measures for reducing the calculated impact. Actual operational data are verified with simulation data using commercial software. Compared to standard weather conditions, the summer weather conditions in Abu Dhabi decrease the overall exergetic efficiency of the plant by 4.3% and increase the total environmental impact per generated KWh by 7.9%. The addition of a heat recovery steam generator could increase the net power output and decrease the total environmental impact of the plant. The main contributor to the environmental impact of exergy destruction is the combustion chamber. Summer conditions increase this impact by 21.5%. The compressor has the second highest environmental impact, increased by 14.6% for summer conditions. A process control system for continuous measurement of exhausted O2 and CO can help to reduce the excess air and, consequently, the associated environmental impact. This may also decrease the power required by the compressor. Lastly, a cooling system for the ambient air may also help to increase the power output of the plant by decreasing the power required by the compressor.
Majid Jaridi
West Virginia University, USA
Title: A comparative study of e-tail service quality scale in USA and India
Biography:
Majid Jaridi is a Professor of Industrial and Management Systems Engineering at West Virginia University. He earned his PhD in Industrial and Operations Engineering from the University of Michigan in 1983. He teaches courses in the areas of Statistical Design of Experiments, Quality Engineering, Forecasting, and Decision Analysis. He also serves as the Director of West Virginia Space Grant Consortium, a consortium of 12 colleges and several high technology companies in West Virginia. His research areas include forecasting and time series analysis, transportation planning, design of experiments, and decision analysis.
Abstract:
The purpose of this research is to measure the e-tail service quality of online retailers by considering survey responses from two different geographical locations, USA and India. This research focuses primarily on (i) Collecting data and performing factor analysis to refine initial scale items, developed by Qianqian, followed by reliability tests for checking the scale’s validity by considering responses received from survey participants in two different geographical regions; (ii) Testing of hypothesis based on the construct of the scale items of the initial scale and the scale obtained in this research; (iii) Performing regression analysis to demonstrate the impact of factors on the overall e-tail service quality. Based on Qianqian's initial scale items, the questionnaire was slightly modified to accommodate changes related to mobile e-tailing. Data was collected and analyzed further through item analysis and exploratory factor analysis. The scale is later tested for its reliability and validity, followed by regression analysis. Results revealed a variation in scale parameters when a global sample is considered. This research is based on the assumption that the key to improving customers’ online purchasing decisions is improving e-service quality, which in turn has a significant effect on transaction results. This research is purely theoretical, with basis on exhaustive literature review.
Muzaffar A. Shaikh
Florida Institute of Technology, USA
Title: A fast plant-location heuristic using influencing factors
Biography:
Dr. Muzaffar Shaikh completed his Ph.D. in Industrial Engineering from the University Of Illinois, Urbana Champagne. Currently, he is Associate Vice President for International Partnerships, Distinguished Professor, and Head of the Engineering Systems Department at Florida Institute of Technology, Melbourne, Florida, USA.
Abstract:
Globalization today has made the problem of locating a new plant extremely difficult due to a myriad of extra factors that did not possess high priority in the past. First, multinational corporations are engaged more than before in manufacturing parts of the same end product in different countries to minimize the cost of production. This contributes to considering additional factors (e.g., local culture, political stability, economic stability, safety and security, etc.) while evaluating plant location. Second, complexities arise when it comes to assembling parts together into the end product due to differing manufacturing standards of various countries. This abstract presents a numerical heuristic that uses pertinent influencing factors, computes their ratings to square grids formed by dividing the given area of interest (AoI). The heuristic starts with first evaluating larger grids (e.g., 100x100 miles) against influencing factors. Next, it utilizes initial results and reduces the larger AoI into smaller focused areas with a smaller set of grids. Grid sizes are reduced at the discretion of the industrial engineer to perform more focused analysis of the new AoI. This iterative process of grid evaluation continues until the engineer is satisfied with the most acceptable overall grid score.
Majid Jaridi
West Virginia University, USA
Title: A comparative study of e-tail service quality scale in USA and India
Biography:
Majid Jaridi is a Professor of Industrial and Management Systems Engineering at West Virginia University. He earned his PhD in Industrial and Operations Engineering from the University of Michigan in 1983. He teaches courses in the areas of Statistical Design of Experiments, Quality Engineering, Forecasting, and Decision Analysis. He also serves as the Director of West Virginia Space Grant Consortium, a consortium of 12 colleges and several high technology companies in West Virginia. Dr. Jaridi’s research areas include forecasting and time series analysis, transportation planning, design of experiments, and decision analysis.
Abstract:
The purpose of this research is to measure the e-tail service quality of online retailers by considering survey responses from two different geographical locations, USA and India. This research focuses primarily on (i) Collecting data and performing factor analysis to refine initial scale items, developed by Qianqian, followed by reliability tests for checking the scale’s validity by considering responses received from survey participants in two different geographical regions; (ii) Testing of hypothesis based on the construct of the scale items of the initial scale and the scale obtained in this research; (iii) Performing regression analysis to demonstrate the impact of factors on the overall e-tail service quality. Based on Qianqian's initial scale items, the questionnaire was slightly modified to accommodate changes related to mobile e-tailing. Data was collected and analyzed further through item analysis and exploratory factor analysis. The scale is later tested for its reliability and validity, followed by regression analysis. Results revealed a variation in scale parameters when a global sample is considered. This research is based on the assumption that the key to improving customers’ online purchasing decisions is improving e-service quality, which in turn has a significant effect on transaction results. This research is purely theoretical, with basis on exhaustive literature review.
- Manufacturing Engineering
Location: 2
Chair
Hamed Fazlollahtabar
Mazandaran University of Science and Technology, Iran
- Healthcare Engineering and Management
Location: 3
- Construction Management
Location: 1
Chair
Zin Eddine Dadach
Higher Colleges of Technology, UAE
Session Introduction
Naser Ali
Kuwait Institute for Scientific Research, Kuwait
Title: Assisting electrical demands for the widespread Indian fast food restaurants in Kuwait using a smart recycling rout
Biography:
Naser Ali has completed his MSc in Thermal Power Fluid Engineering from Manchester University. He has 3 years of teaching experience as an Instructor in the Department of Mechanical Engineering at the Australian College of Kuwait (ACK) and 4 years of research experience in Kuwait Institute of Scientific Research (KISR). He has led several projects in the field of nuclear safety and risk assessment, nano coatings for enhancing energy efficiency, reverse engineering of wind turbines and biofuel.
Abstract:
Energy demands are proportionally increasing with the rise in population and developments in the country’s infrastructure. In Kuwait, most of the electricity is supplied from power stations that runs on diesel fuel supplied from Kuwait National Petroleum Company (KNPC). Since the supply is constrained by the number of power stations currently existing and their maximum electrical deliverable capacity, it is essential to rely on other sources of energy. Biofuel, when produced from used cooking oils as a feedstock, has the potential to provide energy when combusted in a diesel generator while reducing environmental impacts caused from discharging its feedstock through inappropriate methods to the environment. This study compares the economic and environmental feasibility of utilizing used cooking oil and diesel fuel as a supportive energy source for a selected restaurant in Kuwait. This is done by designing a piping system for the used cooking oils in the restaurant contacted to a biodiesel production kit to produce the biofuel which is later feed to the diesel generator integrated with the main power supply. The yearly overall cost of electricity production from both paths were calculated and compared to determine the economical feasibility of each. The results showed that for the long terms it is more economical to use biofuel as a supportive source than petroleum diesel fuel. It also showed that biofuel produced from used cooking oils had less concentration of green gas emissions when combusted compared to petroleum diesel fuel.
Shabnam Najafi
KOC University, Turkey
Title: Coupling passenger and freight transportation in urban area
Biography:
Shabnam Najafi completed her Bachelor degree at Sharif University of Technology in Iran and pursuing her PhD in Industrial Engineering at KOC University in Turkey. She is working on Urban Transportation with Prof. Metin Turkay.
Abstract:
Cities are locations with high level of accumulation and concentration of economic activities. They are complex spatial structures supported by transportation systems. Nowadays, urban transportation is considered as an important subject in urban planning. It consists of passenger and freight transportation. Congestion is one of the most prevalent transport problems in large urban agglomerations. Pollution, including emissions, generated by different types of vehicles has become a serious impediment to the quality of life and even the health of urban populations. In this work, we develop a bi-objective sustainable optimization model with congestion constraint. Two objective functions in this model includes: minimizing freight and passenger transportation cost and CO emission. In this model, we consider freight and passenger transportation together as a new challenging framework in urban transportation area which has not considered before. We solve our model with constraint method in order to obtain Pareto points. We consider cost function as our objective function and put CO emission function in constraints. At last, we compare the results of proposed integrated model with the results of separate passenger and freight transportation models. We check if there is any improvement in value of objective functions.
Ali Alsaygh
Loughborough University, UK
Title: Applyign lean and green tools to oil and gas production operations: A single case study
Biography:
Ali Alsayigh is a PhD holder from the School of Civil and Building Engineering at Loughborough University, UK, studying under the supervision of Professor Stephen Emmitt and Wayne Lord. He has completed his MSc in Engineering Management (2009-2010) from the University of Greenwich in the UK. He has done his BEng in Mechanical Engineering (2008), from the University of Greenwich.
Abstract:
Oil and gas production operations are one of the main contributors to the greenhouse gas (GHG). They consume a significate amount of fresh water, hazard chemicals and energy to process and emit pollutants such as gas, volatile organic compounds and polluted water combines with crude. This paper explores the application of lean and green principle to oil and gas production operations which has been shown to reduce pollutants. This paper explores the use of lean tools such as value stream mapping (VSM) and Kaizen event to achieve lean principles; just in time delivery (JIT), reduce resources consumption in the process, reduce time of machine processing and to further identify the proportion that adds value. Research was conducted to assess the resources consumption of the oil and gas operations to environmental impact and waste reduction in the oil and gas industry. The research method is comprised of case study of a fossil fuel production company in Middle East, which included interviews, direct observation and analysis of the company documents. Analysis of the data, combined with an extensive literature review, showed the potential of applying lean principles and tools to the oil and gas operations to improves each single process and holistic operations which deliver enhancement to the environmental impact.
Shaghayegh Vedadi Moghaddam
Islamic Azad University, Iran
Title: A closed-loop supply chain with retail price, quality level and reference price considering return policy under game theory
Biography:
Shaghayegh Vedadi Moghaddam has completed her MSc in Industrial Engineering with Economic Systems Specialization from Islamic Azad University, South Tehran Branch. She has graduated in Industrial Engineering from Mazandaran University of Science and Technology. She has four research papers in international journals and conferences since 2014.
Abstract:
This paper develops a closed-loop supply chain with a manufacturer, a retailer and a third party where the manufacturer is the Stackelberg leader sells the product at a wholesale price in the market through a single retailer, and the retailer sells the product to the consumers at a retail price. The manufacturer faces three different reverse channels: (1) manufacturer-managed, (2) retailer-managed and (3) third party-managed channels. We formulated the model based on several assumptions. The market demand is assumed to be dependent on retail price, quality level, refund function and the reference price. The quality of the manufactured product is higher than the quality of the returned product. Meanwhile, re-manufactured products are sold at the same price in the market. It is been noted that the reference price affects the purchase decisions of the consumers. The manufacturer is responsible for satisfying the quality of the product at the quality level. The return policy implemented by the retailer. All players of the closed loop supply chain have an interest in cooperating as an integral system. The closed-loop supply chain formulated under three different scenarios mentioned above and then optimal policy is derived. Numerical examples are taken for each scenario to compare the optimal results and determine the best scenario out of the three mentioned, and study the effect of key model-parameters on the optimal decisions.
Abhishek Sushil
Manipal University Dubai, UAE
Title: Design and fabrication of solar powered floating pump
Biography:
Abhishek Sushil is currently pursuing B.Tech degree in Mechanical Engineering stream from Manipal University, Dubai campus. He is active members of Society of Automotive engineers (SAE International).
Abstract:
The current paper works on sustainable energy pumping system. It involves in a design of a pump which is freely floating on the surface of water/fluid which displaces from its original position depending upon the control. The solar floating pump consists of a floatation unit that is made of high density thermocol. The housing unit consists of a pump system that consists of an impeller connected to a 12V DC motor which is powered by a solar power system. The solar power system used consists of water proofed solar panels that is in a closed circuit with the motor. The results which are obtained are validated with the existing pump design. Overall, work concentrates mainly on stability, power generation and the discharge.