Faculty Of Engineering Graduation Project 2020- 2022

Permanent URI for this collectionhttp://185.252.233.37:4000/handle/123456789/4531

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Implementation of inventory control system in clothing factory
(MSA university Faculty of Engineering, 2021) Emad Ezzat Youssef Salama " 161467 ", Abdel Rahman; Mahmoud Shalaby " 173433 ", Mohamed
the objective of the project is to devolve an ordering system to optimize the order quantity of raw materials to meet the demand in the suitable time while reducing inventory costs
Design and Manufacturing of an Automatic Can Palletizing System Prototype
(MSA university Faculty of Engineering, 2021) Adel Fikry Iskander " 164373 ", Mark; Wagdy El-Sharkawy " 174003 ", Saad; Hassan " supervisor ", Dr. Mohamed
Palletizers are machines for material handling, they are used for pallets loading either for storage or before shipping. Pallet loads are used for mass shipping, distributing or consolidating tiny products to larger packages easy to handle. The project objective is to design and manufacture a prototype of tin cans palletizing system that simulate the real application of the automatic system. Data collection about cans production line has been done to collect data concerning can dimensions and weight. These collected data will be used for design purposes. The system consists of four sub-assemblies There were key parameters set then all needed calculations have been done. System cad model has been drawn to generate work drawing which are essential for system manufacturing processes. Then, the system has been manufactured, assembled and tested and the efficiency of the system has been validated. The palletizing machine will save a lot of money, time and effort and insure a continuous automatic process without any obstacles. The use of pallets as a base for unit loads offers many benefits compared to un-palletized handling that result from the more efficient handling of goods. These include: • Dramatically reduced labor requirement versus manual handling • Less risk of product damage • Reduced risk of worker injury • More efficient material handling and storage
Design and Manufacture of a Desktop CNC-Router
(MSA university Faculty of Engineering, 2021) Walid Abdelaziz " 164191 ", Abdallah; Hisham Fathi " 174699 ", Amr; El Hossainy " supervisor ", Prof. Dr. Tarek
Computer Numerical Control machines (CNC) have rolled out progressive improvements within the manufacturing areas. In the past, accomplishing productivity up to the ideal level was not possible because of number of downsides like inconvenience of shapes and sizes, absence of skilled workers, heaps of wastages and scraps because of errors, quality levels and precision. By utilizing CNC, all these downsides can be overcome, and this will be the objective of the project to show the CNC importance. The aim of this project is to design and manufacture a Desktop CNC Router machine. Desktop machine is not a replacement for its full-sized counterpart but it’s less expensive, easy to use and requires small area. In this project, designing and manufacturing a prototype CNC router will occur after reviewing the most famous previously existing models. The design calculations will be done for choosing the dimensions of different elements of the machine. Then developing an electrical system which includes control, programming and the interfacing between the control unit, computer unit and the machine.
Time Waste Reduction in LEONI Harnesses Company
(MSA university Faculty Of Engineering, 2021) Abu-Bakr Mohamed, Wael; Mohamed Emam, Omar
Waste reduction is the most important aspect in the lean production so that the manufacturing companies adopt this tool to improve the productivity in its production lines and improve customer satisfaction. The project’s aim and objective are concerned with improving the productivity in harness production factory by reducing time waste. The factory is facing a problem in time balancing; the operations are not done in equal timing which causes time waste problems in utilization and production rate. This project focuses on analyzing different production line stages as defining exactly the main reasons of time waste. A suitable methodology will be applied such as Simo-chart, Ergonomics, and time analysis for the production line to achieve the balance that will help to reduce the time waste and increase the production rate
Implementation of an Inventory Control System in a Clothing Factory
(MSA university Faculty Of Engineering, 2021) Emad Ezzat, Abdelrahman; Mahmoud Shalaby, Mohamed
M-.Star factory established in 1995 in Benha city, is specialized in production of men’s clothes such as basic and polo shirts, with mass production about 4000 pieces/day, and which pass through different stages from the preparation of raw material process, and dying, until final product. One of the most important ways to enhance production process, is to adapt the quantities of raw materials required to meet the seasonal demands. After visiting the factory’s production line, it was found that the main problem is at the warehouse for storing large quantities of raw materials, which leads to high inventory costs. Sometimes the company faces the problem of storing large quantities of raw materials, for a long time with much money, in case of ordering more than requirements. In other times quantity required of raw material is smaller than the demand in this time, and that lead to cancel some orders, because the delivery time of raw material, will come after the order period. The objective of the project are:  Developing a forecasting model for factory for the next year 2021 demands.  Developing an economic order quantity (EOQ) for next year.  Planning material requirement plan (MRP) for each product.  Developing bill of material (BOM) for each product and the amount of its corresponding raw material.  Making the aggregate planning for next year
Improving the Productivity in Cleopatra Plastic Factory
(October University for Modern Sciences and Arts, 2021) Munjed Mahmoud Siyam, Mohammad; Amr Saifeldin Kammal, Mohanad
Cleopatra plastic factory was established in 1988. Located in the industrial zone in 6thof October, it has 30 plastic injection molding machines, each produces a different product. The factory deals with external customers where they give the factory the required molds that they want the factory to inject the plastic in and produce the required demand. In the plastic injection molding process, the raw material goes through steps to create the final product. Firstly, the raw material is manually fed into the injection molding machine, gets melted and injected by the machine into the mold then cooled off and ejaculated. After investigation, it was found that The Factory’s production rate does not meet the demand fulfillment. One of the products produced is the "cooker’s Legs" for Union air Company, which is made from ABS plastic material, the factory current production is 600 presses per 12-hour shift and aiming to increase it to 900/12 hours shift. The aim of this project is: Improve the productivity of the TH-M8 plastic injection molding machine in Cleopatra plastic factory to increase the productivity using industrial engineering methodologies such as the Lean Six Sigma technique (DMAIC), SMED methodology, and Incentive Plan.
Time Waste Management in Polyethylene Terephthalate (PET) Plastic Preform Production
(MSA university Faculty of Engineering, 2021) Gamal Mohamed " 137543 ", Youssef; Reda Ahmed " 145479 ", Ahmed; Ahmed " supervisor ", Dr. Sameh; Sobhy, Prof. Dr. Nahed " supervisor "
In Medcoplast Co. factory in Egypt founded in the late 1960s that started by only producing simple plastic droppers, nowadays Medcoplast Co. have twelve identical all electrical hot-runner plastic injection molding machines for production of plastic preforms and packaging products with 25% of market share in Egypt and even market shares in northern African countries such as Algeria. The main production in facility is PET-Plastic Preforms. A high exchange & refurbishment time of molds (718 min) occur leading to a lower capacity of production, direct time & money losses, while Single Minute Exchange of Die (SMED) is considered a major lean manufacturing tool & one of the most used techniques to tackle mold exchange operation management & time reduction of them. In this project, Implementation of the basic steps of SMED technique separation of activities led exchange to be reduced by 34% (244 min reduction) including recommendations made regarding operators, inspection approach and material handling. In addition, aiming for standardization and visualization of operation, a quarterly update-able Stream Map has been developed presenting Mold exchange activities flow, assigned operator and cycle times, to facilitate operation on both supervision and operators as a present supporting tool and as guide for future operation improvements, estimating to accumulate at least an extra 7% to the reduction. Any reduction of mold exchange cycle time would directly translate into money & products saved ( ≈ 90,000 - 110,000 preforms for each hour ) as a result of exchange time reduction.
Implementation of the Statistical Quality Control at Outdoor Furniture Factory
(MSA university Faculty of Engineering, 2021) Mohamed Younis " 154413 ", Mostafa; Nabil Ali " 164163 ", Abdulrahman; Sobhi " supervisor ", Prof. Dr. Nahed; Ahmed " supervisor ", Dr. Sameh
The customer satisfaction is the basic concept in quality control. So, all manufacturing companies seek to establish a quality system and quality control in all operations to decrease the defective products and avoid customer dissatisfaction. The objectives of this project are to reduce the defects and improve the customer satisfaction and consequently decrease the waste and improve the profitability in a metal and wood industries’ company. This project uses a statistical process control to monitor the behavior of the processes in the production line and define the defects. Analysis of all kind of defects is carried out to find the main causes of these defects. Statistical quality control was applied for every process in the production line and the process capability is calculated. A method to decrease the variability and eliminate the waste in the production line was also applied.
“A Fully-Textile Highly Efficient Antenna for wearable applications”
(MSA, 2021) Tarek, Eslam; Yasser, Abdallah
With the rapid evolution of wireless communication technology in the last years, the need for wearable antenna with high efficiency and gain is increased. There are problems that will face the antenna design. Being a wearable antenna means it will radiate directly to the human body which affect in health condition so reducing the specific absorption rate (SAR) is highly demanded. Also, the antenna should be flexible to achieve the user’s comfortability so research on different materials with their properties has been made and the textile materials have been used to achieve this term. So, this project will fix the aforementioned problems and their solutions have been discussed with different techniques in order to get a flexible antenna with an improved bandwidth, gain and efficiency to be used in many fields such as medical field, sport field and military field. It also used in many applications such as google glass and smart watches.
Implementation of the Statistical Quality Control at Outdoor Furniture Factory
(MSA university Faculty Of Engineering, 2021) Mohamed Younis, Mostafa; Nabil Ali, Abdulrahman
The customer satisfaction is the basic concept in quality control. So, all manufacturing companies seek to establish a quality system and quality control in all operations to decrease the defective products and avoid customer dissatisfaction. The objectives of this project are to reduce the defects and improve the customer satisfaction, and consequently decrease the waste and improve the profitability in a metal and wood industries’ company. After collection and analysis of the data taken from assembly stage, the team found that the main problem causing the defects is coming from two machines: tongue and mortise machines, besides that worker do not have enough experience and awareness about how to work with the machine. So, the team decided to make inspection sheet on those two machines to reduce defects and improve quality and to reduce time waste and cost and making jigs to most products produced to reduce time of inspection. Also make a training program to improve efficiency of workers. Moreover, making a maintenance plan to improve efficiency of machines and to avoid stoppage of machines.
Design and Manufacture of a Desktop CNC-Router
(MSA university Faculty Of Engineering, 2021) Walid Abdelaziz, Abdallah; Hisham Fathi, Amr
Computer Numerical Control machines (CNC) have rolled out progressive improvements within the manufacturing areas. In the past, accomplishing productivity up to the ideal level was not possible because of number of downsides like inconvenience of shapes and sizes, absence of skilled workers, heaps of wastages and scraps because of errors, quality levels and precision. By utilizing CNC, all these downsides can be overcome, and this will be the objective of the project to show the CNC importance. The aim of this project is to design and manufacture a Desktop CNC Router machine. Desktop machine is not a replacement for its full-sized counterpart but it’s less expensive, easy to use and requires small area. In this project, designing and manufacturing a prototype CNC router will occur after reviewing the most famous previously existing models. The design calculations will be done for choosing the dimensions of different elements of the machine. Then developing an electrical system which includes control, programming and the interfacing between the control unit, computer unit and the machine
Time Waste Reduction in LEONI Harnesses Company
(MSA university Faculty of Engineering, 2021) Abu-Bakr Mohamed " 164037 ", Wael; Mohamed Emam " 153603 ", Omar; Sobhi " supervisor ", Prof. Dr. Nahed; Ahmed " supervisor ", Dr. Sameh
Waste reduction is the most important aspect in the lean production so that the manufacturing companies adopt this tool to improve the productivity in its production lines and improve customer satisfaction. The project’s aim and objective are concerned with improving the productivity in harness production factory by reducing time waste. The factory is facing a problem in time balancing; the operations are not done in equal timing which causes time waste problems in utilization and production rate. This project focuses on analyzing different production line stages as defining exactly the main reasons of time waste. A suitable methodology will be applied such as Simo-chart, Ergonomics, and time analysis for the production line to achieve the balance that will help to reduce the time waste and increase the production rate.
Reducing Variability in Ceiling Fan Blades Manufacturing Process
(MSA university Faculty of Engineering, 2021) Nagimeldin Mohamed Salih " 165633 ", Abdalla; Abdel hamied Kassam " 164129 ", Menna; Sobhy, Dr. Nahed " supervisor "; Ahmed " supervisor ", Dr. Sameh
one of the way for improving the quality is through reducing variation
Early Detection of Brain Cancer Based on Artificial Intelligence
(MSA, 2022) Zaki, Micheal Nabil Salama; Abofarw, Saad Mohamed Saad
More than 150 types of brain tumor have been documented on the basis of histopathologic characteristics. Brain Tumor segmentation is one of the most crucial and arduous tasks in the terrain of medical image processing as a human-assisted manual classification can result in inaccurate prediction and diagnosis. Moreover, it is an aggravating task when there is a large amount of data present to be assisted. Brain tumors have high diversity in appearance and there is a similarity between tumor and normal tissues and thus the extraction of tumor regions from images becomes unyielding. In this project, a proposed method is used to extract brain tumor from 2D Magnetic Resonance brain Images (MRI) by Convolution Neural Network algorithm which was followed by traditional classifiers and convolutional neural network. The experimental study will be carried on a real-time dataset with diverse tumor sizes, locations, shapes, and different image intensities. The project will be able to detect the brain tumor size and location using the auto encoder technique artificial intelligence image processing for the MRI. Also, the system will classify the brain tumor type from three types (Glioma, Meningioma, and Pituitary). The training dataset is achieved after data collection for 1000 sample for each type for brain tumor. The detection and recognition for the brain tumor is achieved using OpenCV, and Tensorflow software tools. Moreover, the project will be delivered using compact hardware (Raspberry pi 4) as independent device. The results show a detection and recognition accuracy for the human brain tumor with 92% because it yields to a better performance than the traditional ones
IoT Based Smart Fish Farming Aquaculture Monitoring System
(MSA, 2022) Yahya Mahmoud Mohamed, Faisal; Fathy Rashad, Hossam
As current human Population is 7.7 billion and growing day by day hence food demand is also increasing accordingly. Fish is a rich source of vitamins, minerals, protein, nutrients and micronutrients. It is an important part of consumer’s diet especially in poor and underdeveloped countries. It is a big challenge for farmer to fulfill market demand with healthy sea food. Aquaculture is a tool to fill gap between of sea food supply and demand. Use of controlled environment production of aquaculture has been increased to a significant level but losses huge due to manual equipment and management failure. Farmers need real time and accurate information to monitor and maximize production potential. Farmers are using traditional techniques and procedures for the aquaculture. By following traditional approach, farmer measure and monitors the water quality, water level, oxygen level and stress level of the aquaculture manually. In this project, we proposed an Internet of Things (IoT) based smart aquaculture model that will measure water quality (pH sensor, water level, color sensor, water temperature, turbidity and DC Motor) for aquaculture. In this project uses low cost and short-range wireless sensors network using IoT network module to monitor aquaculture in real-time. By using this system parameters of water are monitored continuously using a microcontroller IoT board which reduces internet consumption, transmitted data regularly with small latency with error free and ensures survival of aquatic life also ensures the quality of growth and increases the economic benefits of aquaculture.
IoT Early Flood Detection & Avoidance
(MSA, 2022) Amir Maher Yacoub, Mario; Mohamed Abdelrahman Mohamed, Omar
Flooding is a natural phenomenon which has attracted global attention as a result of its negative impact on the society. Developing nations such as Egypt have been predicted to experience increased flood occurrences in the coming decade. The events of flooding are unlikely to change, however, its impact on our society can be very well reduced. There are some places that are more prone to flooding than other places, the implementation of flood alert systems near any major water area or body of water provides critical information that can protect property and save lives. Hence, we are designing this project to inform the people about the upcoming flood by making use of the concept of Internet of Things. For that purpose, we are going to use an Web Based Application to intimate the users using IBM Watson platform. This Project focuses on providing early detection of flooding and the measures to minimize and avoid floods. The system involves the deployment of sensor nodes at specific flood vulnerable such as, temperature, humidity, water flow, ultrasonic sensors, for real-time flood monitoring and detection by using the microcontroller board. Flood events relating to flash flooding and run-off water or overflow are successfully monitored in real time which saves individuals plenty of time to prepare against predicted flood occurrence, saving them from the aftermath of flood disaster
Down Syndrome Early Prediction & Classification System Using Deep Learning
(MSA, 2022) Yousry Zidan, Jomana; Safwat Shalaby, Mariam
Productivity Improvement by Reducing Material Waste in Corrugated Paperboard Process
(MSA University, 2022) Dabishو, Eman Mohammed Azmy; Mahmoudو, Mustafa Mahmoud Ali
UNIPAKNILE is a member of INDEVCO Paper Containers, a division of the INDEVCO Group, established in 1996 and located in Cairo, Egypt. Operating corrugated packaging manufacturing and converting companies across the Middle East. The company specializes in supplying a wide range of industrial and agricultural corrugated packaging solutions, as well as delivery boxes. The project focuses on reducing material waste that reduces the profitability of the company, as well as raising cardboard sheet productivity and achieving the greatest possible production rate while maintaining the required quality level. The cardboard manufacturing process was investigated to detect the sources of the production problems. During the investigation, a significant amount of material waste related to warehouse and production process was observed. The project aims to reduce material waste from 377 tons per month to around 267 tons per month with a reduction of 29.1%, using industrial engineering techniques such as lean 5S. This reduction in waste will raise the company's productivity while also improving the material quality and thus the manufacturing process.
Productivity enhancement for plants using greenhouse technology
(MSA, 2022) Alamir Faisal, Mohamed; Ahmed Hesham, Mohamed
New methods of agriculture are more important than ever because global weather patterns are drastically altering. Since a greenhouse is among the finest possibilities for enhancing the autonomously growing technique, experts are working to find ways to enhance the performance of the entire greenhouse. A group of engineering specialties are required for greenhouse design since supported agriculture can be thought of as an integrated engineering challenge. The circumstances inside the greenhouse must be controlled in order to create the best environmental conditions; hence the structure and controller must be sturdy. The design of greenhouses is decided by the environmental factors that must be controlled, how frequently they must be managed, and how lavishly they must be handled relative to the crop's market worth at the time. Different study domains now have fresh prospects thanks to greenhouse technology. The suitable crop’s conditions can be achieved by creating improved greenhouse design and controls, despite the fact that they already exist to address internal and external greenhouse disturbances. The cost of producing crops rises with each environmental parameter that must be controlled, making efficient environmental control design crucial. The purpose of this thesis is to construct a controlled environment system that enables the precise management of those parameters in relation to the crop. Furthermore, greenhouse climate control may be monitored and controlled. using intelligent systems combined with control approaches, in which control operations are primarily designed to withstand both internal and external disruptions. Such control approaches produce superior results. The main components for maintaining ideal climate conditions are greenhouses. Crop growth performance will significantly improve if these variables are optimally controlled. In order to achieve optimal crop development, independent greenhouses have been erected in many parts of the world because non-autonomous greenhouses take a lot of work to produce high-quality crops.
Improving the Productivity in Cleopatra Plastic Factory
(MSA, 2022) Munjed Mahmoud Siyam, Mohammad; Amr Saifeldin Kammal, Mohanad
Cleopatra plastic factory was established in 1988. Located in the industrial zone in 6thof October, it has 30 plastic injection molding machines, each produces a different product. The factory deals with external customers where they give the factory the required molds that they want the factory to inject the plastic in and produce the required demand. In the plastic injection molding process, the raw material goes through steps to create the final product. Firstly, the raw material is manually fed into the injection molding machine, gets melted and injected by the machine into the mold then cooled off and ejaculated. After investigation, it was found that The Factory’s production rate does not meet the demand fulfillment. One of the products produced is the "cooker’s Legs" for Union air Company, which is made from ABS plastic material, the factory current production is 600 presses per 12-hour shift and aiming to increase it to 900/12 hours shift. The aim of this project is: Improve the productivity of the TH-M8 plastic injection molding machine in Cleopatra plastic factory to increase the productivity using industrial engineering methodologies such as the Lean Six Sigma technique (DMAIC), SMED methodology, and Incentive Plan.

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