Industrial Engineering

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https://hdl.handle.net/20.500.11888/10129

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Now showing 1 - 5 of 236
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    Utilizing Machine Learning Techniques in Inventory Planning and Control of Automotive Spare Parts
    (2024-11-25) Baha’a Dweikat; Galina Zagha; Leen Atout; Yasser Isteitieh
    Abstract The automotive industry facing significant challenges in inventory planning and control activities, particularly in managing the availability of spare parts. In this project, machine learning techniques were utilized to develop and analyze several models to enhance the inventory planning and control of automotive spare parts, and their performance was compared with traditional methods to show their applicability. The focus was placed on employing Artificial Neural Networks (ANN) and Autoregressive Integrated Moving Average (ARIMA) models, and their effectiveness was compared against the traditional Moving Average method. The primary objective was to enhance the accuracy of inventory forecasts and improve overall inventory management efficiency. Historical data were collected and analyzed, models were trained and tested, and their performance was evaluated. Specific constraints were encountered, such as the lack of comprehensive historical data and limited software availability. The unavailability of suitable software restricted the development and analysis of support vector machine models, leading to a concentration on ANN and ARIMA models. It was demonstrated that machine learning models, particularly ANN, provided more accurate forecasts compared to the traditional Moving Average method. Superior performance in capturing complex patterns in the data was shown by the ANN model, whereas the ARIMA model offered robust time series forecasting capabilities. The traditional Moving Average method, while simpler, lacked the sophistication needed to handle the details of automotive spare parts inventory. Overall, the potential of machine learning techniques in revolutionizing inventory planning and control in the automotive industry was underscored by this project. By leveraging advanced models, significant improvements in forecast accuracy and inventory management can be achieved, ultimately contributing to more efficient operations and reduced costs.
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    Cookie Quality Optimization for piece of cake
    (2024-10-06) Ahmad kayed; Yara sayeh
    1 Our project titled "Cookie Quality Optimization for Piece of Cake" focuses on improving the quality and longevity of cookies produced by a small family-owned factory called "Piece of Cake" in Palestine. The project aims to enhance the freshness of cookies over time, addressing the issue of cookies becoming dry and unappealing after storage. The approach involves modifying the recipe, optimizing the production process, and enhancing quality control measures. Key Objectives: 1. Improve the productivity and quality of the cookies for an extended period. 2. Use industrial engineering tools to streamline operations and increase efficiency. Methodology: • Data collection and analysis were conducted, including customer feedback through questionnaires. • Various trials were performed to identify the best modifications to the cookie recipe. • The recipe was altered by adjusting ingredients such as flour, sugar, and baking soda to achieve longer-lasting quality. Results: • Two optimized recipes were developed that enhanced cookie quality, particularly in maintaining softness and taste for up to two days. • The modified recipes were shared with the factory, leading to positive feedback from the head chef and testers. Recommendations: • Implement one of the optimized recipes for improved product quality. • Upgrade packaging methods to maintain freshness for a longer time. • Educate staff on proper storage techniques and increase production volume, leveraging the longer shelf life of the new recipe. The project concluded that improving the freshness and quality of the cookies, along with better packaging and staff training, could help "Piece of Cake" enhance its competitive edge in the market.
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    Feasibility Study for Establishing Polypropylene Random Copolymer (PPR) Pipes and Fittings Plant
    (2024-09-09) Deema Khalili; Ibraheem Dwikat; Hamdy Abu Eisha
    1 Abstract This project's main idea revolved around conducting a feasibility study to establish a plant for producing PPR pipes to ensure the project will be successful or not in the West Bank. The first step was to make a simple introduction that presented the problem, the most crucial project objectives, scope of work, significance of the project, and the report's organization. The second step was a review of the literature, which is considered one of the essential parts that help in deep understanding, gives an overview about the level reached by science in this topic, and provides an opportunity to reach new conclusions, theories, and ideas. Then, the methodology is a simple summary showing the products that have been identified, aspects of the production process required, steps that were followed to conduct the market study, in addition to an explanation of a simple summary about the questionnaire that was done, and steps that will be followed to complete both the technical study and the financial study. The market study was started by completing a questionnaire that includes three basic categories. The questions for each category differed from the other categories. The questions aimed to study the volume of demand and supply, determine the product's market share, know the market's nature is monopolistic or competitive, and determine the most used and demanded PPR products, the production line that will be established depending on the diameters that most requested. Based on the preliminary analysis, we found that the market is competitive, the demand for these products is excellent, the PPR products that will be adopted are PPR and PPR-CT, and the project will be limited to one production line. In the second semester, this project was completed, beginning with a detailed analysis of the market study, by identifying demand, target areas, competition, and others. After that, a technical study was made in which the machines and molds will be defined. And a 2D modeling for the production line and a 3D modeling of the extrusion die head, using the Autodesk Inventor software. Next, the financial study was defined to find out the investment capital and analyze many important indicators such as the rate of return, payback period, break-even point, and others. Finally, some recommendations and conclusions will be made in which a will be made whether the project is feasible or not.
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    Applying Lean Six Sigma- DMAIC Methodology in Troubleshooting and Ticketing System at Palestinian Telecommunications Company - Customer Care Directorate
    (2024-09-09) Mohammed Essam Khaled Shou’Bi
    Abstract Trends of the service sector in the modern business, deliver to one of the hardest challenges that use of quality techniques that had been usually used in production sector to use those in service sector. Telecommunications and internet services are one of the most important services everyone needs these days. The need for these services for all age groups in the societies opened the door wide to the intensification of competition between the companies providing the service. In one of the highest standards of competition that companies focus on is the quality and reliability of the service provided. Palestinian Telecommunications Company (Paltel)“PALTEL”, is one of the big players in telecommunications and internet services sector in the Middle East, and is the Palestinian technologies giant. PALTEL (Paltel) provides huge number of customers in many types of services in this sector, like; XDSL, FTTH, FiLINE, FiLite and corporate in addition to added services, like; IPTV, Fixed IP, Parental Control and safe kids. These services are provided through a giant administrative and technical network, the first priority of which is the quality of the service provided with mission statement “Customer only the Boss”. The relation between company and customer in PALTEL (Paltel) managed by customer care (CC) directorate (CCD) which bears the responsibility of the institution's commitment to its duties towards the customer. One of the greatest tasks that this directorate manages is tracking subscribers' customers complaints in terms of their objections and receiving notifications of faults. This project aims at implementing the well-known define, measure, analyze, improve and control (DMAIC) Six Sigma methodology at the (CCD)CC-directorate in PALTEL(Paltel). More specifically, the five phases of DMAIC methodology will be implemented in the (CCD)CC-directorate, starting with the define phase in which the business case, scope, objectives, critical to duality characteristics and the project team will be identified. Then in the next phases (measure), relevant data on the (CCD)CC-directorate performance will be gathered from (CCD) CC-directorate databases. Such measures might include the frequencies, impact, detect ability of different types of failures in the services as well as time to repair and to restore the service (cycle time of the service) in order to determine the current sigma levellevel, the directorate works in accordance. The gathered data will be analyzed in an endeavor to hypothesize the potential root causes and potential solutions for the identified failures in the previous phase. In the improve phase, a set of potential improvement interventions (technical and administrative) will be investigated for the purpose of improving the sigma level of the (CCD)CC-directorate. In the last phase, an out-of-control plan (OCAP) plan will be developed to control and monitor the improved performance of the (CCD).CC-directorate.
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    Developing Procedure Manual for Selected Department at An- Najah National University
    (2024-08-12) Hala Habash; Abdullah Janajreh
    Project Summary 1. Introduction: The Admissions and Registration Department at An-Najah National University plays a crucial role in organizing and managing the admissions and registration processes for new and current students to ensure an effective educational environment. Its tasks include receiving and processing admission applications, organizing registration processes, issuing academic documents, and providing support and guidance to students. 2. Problem Statement: The current operations in the Admissions and Registration Department suffer from inefficiency due to the lack of standardized procedures, leading to time consumption, increased errors, student dissatisfaction, and administrative burdens. There is a need for an automated system that provides real-time information, reduces scheduling conflicts, and efficiently stores student data for long-term use. 3. Project Objective: The project aims to develop and enhance Standard Operating Procedures (SOPs) for the Admissions and Registration Department to improve operations and increase productivity. This includes: - Standardizing processes to reduce errors and improve efficiency. - Ensuring compliance with university policies and regulations. - Providing easy-to-use resources for staff. - Establishing a framework for regular review and updating of procedures. - Implementing an automated registration system integrated with the university database. 4. Significance of the Work: This project is essential for improving the efficiency of operations in the Admissions and Registration Department, leading to higher student satisfaction and better administrative control. It also aims to reduce excess costs, streamline processes, and enhance the quality of services provided to students and the academic community. 5. Results and Analysis: The project developed and enhanced 39 SOPs covering all aspects of the department's operations, which were reviewed and approved. The procedures included application submission and processing, course registration and enrollment, issuance of academic records, and providing support and guidance services to students. Flowcharts for each procedure were created to facilitate staff understanding and adherence to the procedures. 6. Recommendations: The project recommends the continuous review and improvement of SOPs to ensure adaptation to changing needs, the implementation of an automated registration system to improve efficiency and record-keeping accuracy, and the provision of ongoing staff training on the use of standardized procedures and the automated system