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5th International IEEE Novel Intelligent and Leading Emerging Sciences Conference, NILES 2023

作者： Mostafa, Abdelrahman Ibrahim Shalaby, Mohamed A. Wahby Kassem, Sally S. Nile University Industrial Engineering Program Giza Egypt Nile University Faculty of Computers and Artificial Intelligence Smart Engineering Systems Research Center Giza Egypt Nile University Faculty of Computers and Artificial Intelligence Cairo University Smart Engineering Systems Research Center Giza Egypt

ISBN: (纸本)9798350381030

Supply chain stages are known to be complex and variable. Variability and complexity increase due to the increased numbers of the stakeholders. Unified Modelling Language (UML) is known to be efficient in visualizing complex systems and highlighting both major and minor activities, hence provides stakeholders with better understanding and visualizing of the overall system. In this paper, UML models are developed and employed to model supply chain stages for a manufacturing firm. Functional, behavioral, and structural models are developed and explained throughout the paper. These UML models assist in understanding details of the supply chain process. The result is clear, well-structured models that facilitate the process of decision making, control, and improvement of the firm's supply chain. The models serve as the initial step for building an efficient ERP system that captures relevant details. © 2023 IEEE.

关键词： Unified Modeling Language

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Valorization of Agricultural and Marine Waste for Fabrication of Bio-Adsorbent Sheets

Valorization of Agricultural and Marine Waste for Fabricatio...

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World Environmental and Water Resources Congress 2023: Adaptive Planning and Design in an Age of Risk and Uncertainty

作者： Elshabrawy, Salma O. Mansour, Mohammad Elhussieny, Amal Husien, Shimaa Abdel-Aziz, A.B. Fahim, Irene S. Said, Lobna A. Radwan, Ahmed G. Smart Engineering Systems Research Center Nile Univ Giza Egypt Dept. of Chemical Engineering Faculty of Engineering Alexandria Univ Alexandria Egypt Nanoelectronics Integrated Systems Center Nile Univ Giza Egypt School of Engineering and Applied Sciences Nile Univ Giza Egypt October High Institute for Engineering and Technology Giza Egypt Industrial Engineering Program Smart Engineering Systems Research Center Nile Univ Giza Egypt

ISBN: (数字)9780784484852

ISBN: (纸本)9780784484852

industrial wastewater often contains considerable amounts of toxic pollutants that would endanger public health and the environment. In developing countries, these toxins are often discharged into natural ecosystems without pretreatment as it requires costly treatment processes, which causes long-term harmful socioeconomic impacts. Employing wastewater treatment plants using physical, biological, and chemical methods to clean the wastewater is considered by many nations the answer to the environmental crises. The treated water could be used for targeting the irrigation systems in its majority, as it is biologically acceptable for that specific use, which economizes the use of freshwater sources for municipal use specifically. This study presents a novel method for fabricating an efficient adsorbent sheet for wastewater treatment. The sheets are fabricated by combining sugarcane bagasse pulp as a scaffold with commercial, naturally activated carbon and bimetallic-prepared adsorbents. Fava beans and algae biomass are utilized in the production of activated carbon because of their high carbon contents, availability, and low cost. The prepared composite sheets are synthesized and investigated for several pollutants' removal such as methyl orange, crystal violet dyes, and chromium heavy metals. These pollutants are selected due to the high discharge amount and toxic effect on aquatic life. FT-IR and SEM analyses are used to characterize the samples. To determine the mechanism of adsorption, the intra-particle diffuse, pseudo-first-order, and pseudo-second-order kinetic models are used to test the experimental data. All the prepared sheets can retain the pollutants, with the best removal efficiency of 96.24% for methyl orange adsorption onto the bio-composite mixed sheet. For methyl orange, the error values and correlation coefficient R2of 0.971 and 0.951 shows that the Temkin isotherm and pseudo-first-order kinetic model, respectively, are capable of providing the highes

关键词： Adsorption

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Enhancing Safety Measures in a Steel Manufacturing Facility;Factory X Case Study

Enhancing Safety Measures in a Steel Manufacturing Facility;...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Ali, Mariam Kassem, Sally S. Elatriby, Sherif A. Nile University Industrial Engineering Program Smart Engineering Systems Research Center Giza12613 Egypt Cairo Univesityt Faculty of Computers and Artificial Intelligence Operations Research and Decision Support Department Giza12613 Egypt University Helwan Faculty of Engineering Helwan Cairo11792 Egypt

ISBN: (纸本)9798350369106

Productivity and safety of the workers have been issues in most manufacturing facilities in Egypt and all over the world, as the main aim of any manufacturing facility is to increase profit and limit costs as much as possible. Through analysis and simulation, this paper aims to create a safe workplace for the worker;risk assessment and Failure Mode and Effect Analysis (FMEA) and the basics of the international standards ISO 31000 and ISO 45001 have been conducted to evaluate different hazards and potential risks. Moreover, lean tools such as 6S and Visual Management are proposed solutions to enhance workplace safety and decrease the possibility or severity of potential risks. Therefore, a new workplace design, an example of a high-level hazard in industry in Egypt's local market, has been established for the steel manufacturing facility under consideration using Sketch Up. The results of the proposed solutions, such as new frameworks, worker safety training, equipment replacements, and applying lean tools, have shown a practically acceptable percentage of safety improvements and a decreasing risk priority number (RPN). The percentage decrease for (RPN) ranges between 31.43% to 90.47% for different potential risks. © 2024 IEEE.

关键词： Agile manufacturing systems

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A drone-based logistics network for blood supplies: a genetic algorithm based on greedy search

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Soft Computing 2024年第23期28卷 13349-13369页

作者： Saleh, Haitham Sayad, Mohammed Almoghathawi, Yasser Alghazi, Anas Al-Shareef, Khaled Department of Industrial and Systems Engineering King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Interdisciplinary Research Center for Smart Mobility and Logistics King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Interdisciplinary Research Center for Intelligent Secure Systems King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

In many countries, the accessibility of blood and blood products remains a challenge due to the complex supply chain, short product lifetime, fluctuating demand at the hospital level, and timely access. To address this challenge, some countries have implemented the use of drones to deliver blood products to remote healthcare facilities, resulting in improved availability and delivery times. To further improve the efficiency of blood supply logistics, this study proposes a drone-based logistics network for the transportation of blood groups from blood banks to hospitals. The proposed methodology employs a genetic algorithm, in combination with Greedy Search, to establish an optimal drone-based logistics network for blood supplies. The algorithm allocates blood requests to launching and refueling stations and determines the most efficient routes for the drones, with the objective of minimizing total logistics costs, including the construction costs of launching and refueling stations and the delivery costs between different locations. Moreover, the algorithm utilizes natural selection processes, such as selection, reproduction, and mutation, to converge toward a near-optimal solution. The results indicate that the proposed algorithm outperforms the CPLEX solver in terms of computational time for solving the proposed integer linear programming problem. Furthermore, the proposed methodology provides a near-optimal solution with a small gap between the CPLEX optimal and algorithm solutions, demonstrating its efficacy and potential for improving the delivery of blood products in a cost-effective manner. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Integer programming

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Structured Optimal Policy for a Capacity Expansion Model Using Markov Decision Processes

Structured Optimal Policy for a Capacity Expansion Model Usi...

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2024 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2024

作者： Abduljaleel, Jazeem Aldurgam, Mohammad Industrial and Systems Engineering Department Saudi Arabia King Fahd University of Petroleum and Minerals Interdisciplinary Research Center for Smart Mobility and Logistics Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350367355

This paper presents a stochastic dynamic capacity expansion planning model, formulated using a Markov Decision Process (MDP). We characterize the optimal policy and prove the existence of a threshold-type structured policy. In particular, we provide a novel proof by demonstrating the subadditivity of the cost model, resulting in increased computational efficiency. © 2024 IEEE.

关键词： Stochastic systems

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INTEGRATED PRODUCTION-INVENTORY MODEL UNDER PROCESS DETERIORATION AND INSPECTION ERRORS 50

INTEGRATED PRODUCTION-INVENTORY MODEL UNDER PROCESS DETERIOR...

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50th International Conference on Computers and industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Attia, A. Interdisciplinary Research Center of Smart Mobility and Logistics Department of Industrial and Systems Engineering King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

ISBN: (纸本)9781713886952

The proposed work integrates production-inventory planning, quality inspection, and investment allocation to improve the production system's reliability and productivity. A mathematical model is developed to optimize the production run length and investment amount in setup cost reduction. The model minimizes setup, holding, and incorrect inspection costs. It is assumed that the production cycle begins in an in-control state with a fixed defective rate and may shift to an out-of-control state, after which the process deteriorates exponentially. Furthermore, the inspection process is imperfect;errors may occur, which increases the total cost. A numerical example is provided to demonstrate the model's applicability and draws out managerial insights. For instance, investment in reducing the setup cost may cut the total annual cost by 22.60% and shorten the production run length by 59.15%. © 2023 Computers and industrial engineering. All rights reserved.

关键词： Deterioration

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Enhancing Safety Measures in a Steel Manufacturing Facility;Factory X Case Study

Enhancing Safety Measures in a Steel Manufacturing Facility;...

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Decision Aid Sciences and Application (DASA), International Conference on

作者： Mariam Ali Sally S. Kassem Sherif A. Elatriby Industrial Engineering Program Smart Engineering Systems Research Center Nile University Giza Egypt Operations Research and Decision Support Department Faculty of Computers and Artificial Intelligence Cairo Univesityt Giza Egypt Faculty of Engineering Helwan University Helwan Cairo Egypt Industrial Engineering Program Smart Engineering Systems Research Center Nile University Giza Egypt

ISBN: (数字)9798350369106

ISBN: (纸本)9798350369113

Productivity and safety of the workers have been issues in most manufacturing facilities in Egypt and all over the world, as the main aim of any manufacturing facility is to increase profit and limit costs as much as possible. Through analysis and simulation, this paper aims to create a safe workplace for the worker; risk assessment and Failure Mode and Effect Analysis (FMEA) and the basics of the international standards ISO 31000 and ISO 45001 have been conducted to evaluate different hazards and potential risks. Moreover, lean tools such as 6S and Visual Management are proposed solutions to enhance workplace safety and decrease the possibility or severity of potential risks. Therefore, a new workplace design, an example of a high-level hazard in industry in Egypt's local market, has been established for the steel manufacturing facility under consideration using Sketch Up. The results of the proposed solutions, such as new frameworks, worker safety training, equipment replacements, and applying lean tools, have shown a practically acceptable percentage of safety improvements and a decreasing risk priority number (RPN). The percentage decrease for (RPN) ranges between 31.43% to 90.47% for different potential risks.

关键词： Training Productivity Visualization ISO Standards Employment Materials handling Production facilities Hazards Loss measurement Steel

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Deep Learning-Based Positioning Error Fault Diagnosis of Wire Bonding Equipment and an Empirical Study for IC Packaging

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IEEE Transactions on Semiconductor Manufacturing 2023年第4期36卷 619-628页

作者： Kao, Sheng-Xiang Chien, Chen-Fu International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan Intelligent Manufacturing and Circular Economy Research Center National Tsing Hua University Artificial Intelligence for Intelligent Manufacturing Systems Research Center National Science and Technology Council Department of Industrial Engineering and Engineering Management Hsinchu300044 Taiwan

Little research has been done for artificial intelligence applications of semiconductor backend. This study aims to develop a deep learning based fault diagnosis framework as prognostics and health management (PHM) solutions with a comprehensive analytics process. A linear encoder sensor is employed to measure position, while data preparation is conducted to convert position information into a signal. Then, signal processing is used to extract the features, in which high pass filter is applied to normalize the signal and emphasize the features. High-dimensional features including time domain statistical features, time-frequency domain features obtained by continuous wavelet transform (CWT), and frequency domain features converted by fast Fourier transform (FFT) are extracted to prepare the dataset. An ensemble neural network model that integrates deep neural network (DNN) and convolutional neural network (CNN) is employed to recognize the pattern and diagnose the positioning errors. The accuracy and false alarm rate are considered to support maintenance decisions. An empirical study was conducted in a world leading IC assembly and testing company for validation. The results have shown that the proposed approach can effectively detect inappropriate installation of the bond head in wire bonding equipment for predictive maintenance and cost reduction. © 1988-2012 IEEE.

关键词： Failure analysis

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Drivers of the Sustainability Performance of Induction Stove Conversion program in Indonesia

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International Journal of Sustainable Energy Planning and Management 2025年 43卷 5-30页

作者： Damayanti, Retno Wulan Safira, Silvia Dhea Laksono, Pringgo Widyo Setiadi, Haryono Entifar, Nisa Aqilla Ellenahaya Industrial Engineering Study Program Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Center of Technology Development and Industrial Collaboration Institute for Research and Community Service Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Informatics and Science Data Study Program Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Smart Green Technology Engineering Department Pukyong National University 45 Yongso-ro Nam-Gu Busan Korea Republic of

In 2022, Indonesia initiated a pilot project to transition from liquid petroleum gas (LPG) stoves to induction stoves, targeting 8.2 million households by 2025. While LPG is considered a clean cooking fuel by the World Health Organization due to its low PM2.5 emissions, this program aims to further reduce CO2 emissions from cooking activities, aligning with Indonesia’s clean energy transition and 2060 Net Zero Emission goals. Throughout the program, doubts and criticisms arose among various sectors of society, particularly concerning the sustainability of this program. This research aims to determine and analyze the driving factors that support the sustainability of the induction stove transition program. Five sustainability aspects, namely, economic, social, environmental, technical, and institutional, were analyzed. A total of 315 Indonesian citizens participated as respondents in this research survey. The Partial Least Squares-Structural Equation Model (PLS–SEM) method was utilized as the analytical approach for the study. The results revealed that nine factors significantly influenced program sustainability, with the strongest impacts from technology costs (path coefficient = 0.859), contextual factors (0.803), electrical infrastructure (0.792), and community perception (0.773). Economic sustainability was driven by technology costs and business opportunities (0.643), while environmental sustainability was strongly influenced by electrical infrastructure. Post-installation support (0.307) and financial management (0.391) significantly impacted technical and institutional sustainability respectively. These empirical findings improve previous research on the sustainability of an energy transition program, which provides insights for researchers and stakeholders in the energy management field, especially in developing countries, for policy determination and decision-making. © 2025, Aalborg University Press. All rights reserved.

关键词： Clean energy

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Charging Stations Selection for EVs Using the Best-Worst Method and TOPSIS Approach

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Transportation research Procedia 2025年 84卷 472-479页

作者： Haitham Saleh Mohammed Algafri Anas Alghazi Khaled Al-Shareef Yasser Almoghathawi Industrial and Systems Engineering Department Interdisciplinary Research Center for Smart Mobility and Logistics King Fahd University of Petroleum and Minerals Dhahran 31261 Kingdom of Saudi Arabia Industrial and Systems Engineering Department Interdisciplinary Research Center for Intelligent Secure Systems King Fahd University of Petroleum and Minerals Dhahran 31261 Kingdom of Saudi Arabia

The shift towards electrical transportation system has the promise to decrease greenhouse gas emissions and reinforce sustainability. With the expected rise in electric vehicle (EV) usage in recent years, it becomes critical to develop a charging station infrastructure to ensure the drivers comfortability and optimal performance for EVs. This research recommends that EV drivers need to consider using the combination of the BWM and TOPSIS to select the most appropriate nearby charging stations based on their personal preferences and specific situations. The principal goal of the study is to improve the process of choosing charging stations based on the drivers’ preferences. By comparing criteria weights and evaluating scores for all nearby charging stations to the drivers. This approach endeavors to offer a personalized selection process by integrating both the prevailing data and the user’s unique preferences.

关键词： best-worst-method TOPSIS ranking charging stations charging infrastructure

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