Final Year Projects

​​​​This academic year witnessed the graduation of the first ever AUB class of Industrial Engineers. As part of their graduation requirement, IE students worked in teams of three of four to complete a capstone final year project (FYP). The projects tackled a range of issues, including the optimization of a warehouse in a large Lebanese company to the development of a new phone application. Abstracts of this year's IE FYPs can be seen below.

Congratulations to the IE class of 2018!​


The first batch of AUB Industrial Engineers 

  • Grace Abdallah, Danielle Boghos, Nour Fakhoury, and Omar Omeish - "Construction Management and Optimization of a Three-Story Residential Building"

This project tackles the subjects of project management and optimization of the construction of a three-story residential building in Ein el Rimmeneh. The construction management study focuses on the assessment of the total duration of the project, using the Critical Path Method on MS Project, as well as the total cost of the project, assessing its direct costs by developing a Bill of Quantities, and its indirect costs. An analysis of different possible risks that could occur has been conducted and their implications on the project have been assessed. The optimization study consists of assessing the resource allocation for the project, in order to decrease cost but not increase time as well, finding a (near) optimal solution. Brook's algorithm, as well as an improvement on that, have been used to do so. A simulation has been conducted on both the cost and the schedule, in order to accurately determine the cost of the project and the critical activities of the project.

  • Joy Bou Sleiman, Ralph Deeb, Zeina Jouni, and Jeffrey Khattar - "Optimization of the American University of Beirut Gym"

Health and fitness are of supreme importance at any stage of human life. People are becoming more and more conscious about their health, and are hence referring to the gym more frequently. Sports are more often than not an adopted mechanism to cope with stress, especially for students and professors who deal with tight schedules and many deadlines. Increasingly, universities around the world are providing their students and faculty with a sports center that caters to these needs. Our objective in this project is to improve the overall gym experience at the Charles Hostler Student Center in the American University of Beirut. We are using our knowledge and expertise in various fields to ensure that the gym at AUB is up to gold standard, and that every person entering it will have a great experience that is well rounded and does not lack anything. 

  • Yara Mia Chamoun, Ramsey Fahed, Chris Maroun, and Lea Nasr - "Optimization of Warehousing Practices at Karim Trading S.A.L."

Working on finding optimal solutions to warehousing issues can be particularly challenging, especially when it comes to countries that lag on the use of modern techniques. Karim Trading S.A.L is a warehouse and distribution company that distributes food, fast moving consumer goods and household products to around 5,000 customers across Lebanon. The company holds 42 product brands, which translates into 680 different products. Despite the large scale of operations of the company, the warehouse is still not running based on predetermined strategies. In this context, we decided that our approach should tackle two main objectives: the design of a new layout for the distribution of products throughout the warehouse, and the development of an order picking strategy applicable to any type of orders. Instinctively, we thought of resolving the issue by looking mainly at optimization tools and trying to derive an integrated model. This reasoning shortly led us to the development of several unrealistic assumptions and simplifications. After extensive research, we shifted our focus towards more flexible and adaptable techniques all based on heuristics. We were able to come up with three different combinations of layouts and order picking strategies: ABC classification, Alphabetical classification, and Weight classification. So far, our empirical research has shown that heuristics can lead up to a 10% improvement on order picking times on average. Our work will now be directed towards a more analytical approach with the aim of concluding based on a final cost-benefit analysis.

  • Elias Chahine, Rami El Shammas, Tracy Haoui, and Dina Khoury - "Beirut Beer Production Line Optimization and Employee Safety"

This project presents an analysis of a Lebanese Beer Production company. Beirut Beer is a company that proudly differentiates its product as the drink of the Lebanese youth that has been gaining recent recognition for its marketing campaigns. These attributes intrigued both our social and educational facets and have driven us towards our objective throughout this field study. Throughout the course of this project, we have aimed to increase the overall efficiency of Beirut Beer's manufacturing plant through optimizing the production line and improving employee well-being. This paper will focus on our results to date with emphasis on the production line. The procedure section of the report contains various qualitative techniques that have allowed us to visualize the problem of production such as detailed walk-throughs, interviews with industry partners, fishbone diagrams of the facility, and flow process charts for the entire packaging process. This has led us to build a robust Arena Simulation model that mimics the reality of the process, which consequently highlighted potential problematic areas on the line. In addition to methods, we have compiled the results of our qualitative and quantitative measures by locating bottlenecks on main processes, which allowed us to shift our focus on certain areas in the factory to analyze and monitor. Furthermore, we have begun tackling the issue of noise levels through the creation of a noise level diagram along with measuring noise using an application throughout areas subjected to a high staff concentration. We will conclude with a discussion on future steps and further analysis that would allow us to reach feasible recommendations.

  • Ahmad Chehab, Ayman Kayali, Fawzi Foz, and Louai Misto - " Inventory Management at Foz Trading: Demand Forecasting, Ordering Policies, and Facility Planning"

This project discusses an operations management case study performed for a Lebanese tool steel supplier known as Foz Trading. Inventory classification and demand forecasting are utilized to build an efficient warehouse management system using optimal ordering policies and shortage tracking. Sales data analysis was key in rearranging the warehouse facility for optimal operating conditions. Finally, a warehouse management system was implemented to improve inventory management and control by monitoring inventory level for each item and tracking their exact location within the facility.

  • Mariam Dabboussi, Nour Khouzami, Nour Obeid, and Carine Saad - "Night Owl: A
    Feasibility Study"

This project is a feasibility study on an up and coming startup in Beirut called Night Owl. Night Owl is working on creating a multi-sided platform between 18-30 partygoers and nightlife establishments which acts as the ultimate “concierge system" for nightlife to know what is hot and trending around Beirut and to help businesses optimize customer experience and attract the right crowd.  We conducted market research through literature reviews, case studies and through ethnographic research. Our ethnographic research was conducted through surveys and face-to-face interviews for both Business to Business (B2B) and Business to Customers (B2C).   From the market findings we accumulated, we created detailed product specifications which include the ability to authenticate users, search for specific clubs and keywords, control personal account information, filtering information by date, genre and age limit, provide all relevant information and any possible shortcomings in specific events. (Address, description, genre, opening times), book tables at venues via email. We split the app creation process into three phases: wireframes, screens with no functionality and screens with functionality. We presented the wireframes and sketches in the fall semester, along with a clickable mockup in the fall final presentation. Over the winter break, we finalized the technical specifications of the Night Owl app.

  • Layane El Wazzi, Florence Hitti, and Amal Kassem - "Optimizing Wakilni's Operations and Developing its Pricing Strategy"

Our team decided to take on the optimization of the routing scheme and pricing model of an emerging start-up called Wakilni (WK). WK offers a pick/up delivery service and governmental transactions services upon orders placed online or on the phone. The spectrum of orders placed ranges from ordering something very minor to something of greater importance. Moreover, their clients fall into one of the 3 categories: online, offline and personal. Online and offline customers are B to B, whereas personal customers are B to C. Being a delivery service, one of the most important factors for an efficient system is finding an optimal routing scheme, which is what we aimed to achieve through a Vehicle Routing Problem model. On the other hand, knowing that WK doesn't have a pricing strategy, we were inclined to develop a tailored and suitable pricing model to maximize WK's profit.

  • Rayan Fayyad, Wissam Husseiki, Wael Aridi, and Sam Hajjar -" Facilities Planning and Simulation for a Mosaic Manufacturing Firm"

The project will be targeting the mosaic factory of Safa Group, located in Nabeh Al Safa. The interest of this project is mainly driven by the fact the factory is not currently operating, so the impact of the results regarding the factory operations is huge. The objectives pursued are related to the facilities planning of the factory, the work measurements to be followed, and ergonomic planning for a safe work environment. To date, work has been done at the level of facilities planning, including AutoCAD models and simulation. In addition, an ergonomic study was conducted to maintain a work environment that is operator-friendly. The conclusion in regards to this project is that it is promising, and working on a factory from scratch brings great benefit to the company to have a factory plan formulated to be executed.

  • Jad Raphael Mansour, Hussein Jundi, Amin Ladki, and Rashad Abou Karroum- "The Effect
    of Vigilance Decrements on the Performance of Security Guards Monitoring
    Surveillance Cameras"

This report discuss the application of eye tracking to detect vigilance decrements for CCTV security surveillance guards in control rooms. Research has demonstrated that a decline in vigilance (the decrease in sustained attention) does occur after doing a certain task for a period. This decrease in sustained attention can be a dangerous and a critical error in tasks where attention is required to maintain safety and prevent any harmful consequences. The objective of this paper is to study how a CCTV guard tasked to monitor multiple video feeds on a screen faces vigilance decrements with time. It will also be used to find which eye tracking metrics best reflects vigilance decrements. To do so, we designed an experiment that uses eye-tracking. We recruited 10 people and we asked them to look for targets in CCTV. Finally, we developed a prediction model that helped in detecting vigilance decrements in real time based on the experiment results. This prediction model feeds in our adaptive interface to detect the guard's vigilance levels and act accordingly.

  • Mickael Marchi Mekari, Ali Karim, Ahmad El Nakib, and Sami Assaf- " Inventory Control, Production Planning & Warehouse Management Systems Optimization for LibanJus S.A.L"

This project is conducted in collaboration with LibanJus S.A.L., a fast paced-consumer goods firm headquartered in Hazmieh, Lebanon. Its products include some of Lebanon's favorite and fastest selling juices, ice creams and dairy products.  The main emphasis of this project will be to improve sales forecasts. Improved forecasts will give decision-makers more confidence in predicting future production and storage requirements. Moreover, upon analyzing the data with advanced statistical and machine learning algorithms, we hope to find patterns identification methods that can lead to better demand forecasting, allowing for better long-term strategical planning. The ultimate goal, completed in the second part of the project, will be to optimize the firm's management systems. With accurate sales predictions, and an improved warehouse management system, based on an optimized mathematical model for product allocation in the warehouse; we hope to reduce unnecessary wastes, and thus upgrade part of the company's supply chain.

  • Kamal Mafhouz, Edmond Rizk, Joseph Kotait, and Mira El Bahri-" The Optimization of a Supermarket Process"

The supermarket industry in Lebanon is dominated by many firms, which are trying to gain competitive advantage over each other. The key advantage a supermarket can gain is estimating the exact demand of goods needed for inventory, to avoid stock-outs and excess demand from occurring. This Final Year Project aims at optimizing the supply chain of a supermarket in the Ashrafieh area: Charcutier Aoun; more precisely the path of perishable goods from the warehouse to the store shelf. The team will be following the DMAIC process during the entire year since this data-driven strategy is renowned for its improvements on such processes.  ​