A5064178656- Maritime Ports and Logistics
- Vehicle Routing Optimization Methods
- Urban and Freight Transport Logistics
- Advanced Manufacturing and Logistics Optimization
- Optimization and Packing Problems
- Smart Grid Energy Management
- Law, logistics, and international trade
- Advancements in Photolithography Techniques
- Microgrid Control and Optimization
- Maritime Transport Emissions and Efficiency
- Photonic and Optical Devices
- Integrated Circuits and Semiconductor Failure Analysis
- Semiconductor Lasers and Optical Devices
- Smart Grid Security and Resilience
- Optimization and Mathematical Programming
- Traffic control and management
- Risk and Portfolio Optimization
- Water resources management and optimization
- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Sustainable Supply Chain Management
- Electron and X-Ray Spectroscopy Techniques
- Photonic Crystals and Applications
- Advanced Surface Polishing Techniques
- Aviation Industry Analysis and Trends
Egypt-Japan University of Science and Technology
2013-2024
Alexandria University
2017-2024
Zagazig University
2017-2024
GlobalFoundries (United States)
2019-2023
Mentor Technologies
2006-2009
Nurse Scheduling Problem (NSP) is the assignment of a number nurses to shifts in order satisfy hospital's demand. The objectives NSP are minimization overall hospital cost, and maximization nurses' preferences while taking into consideration governmental rules standards. In this article, proposed mathematical model for presented, which based on idea multi-commodity network flow model. was verified using hypothetical instances as well benchmark instances, then, it applied real case study an...
In container terminals, the yard area consists of a set blocks, which bays. Each bay stacks, tiers. pre-marshalling problem, an initial layout is converted to final desired layout. The follows given loading schedule this bay. This has direct impact on most important terminal performance measure: vessel time. deviation between current and expressed by value mis-overlays. objective problem eliminate mis-overlays with minimum number movements. article, variable chromosome length genetic...
Background: Container terminals (CTs) have constantly administered truck appointment systems (TASs) to effectively accomplish the planning and scheduling of drayage operations. However, since operations in gate yard area a CT are stochastic, there is need incorporate uncertainty during development execution schedules. Further, situation complicated by disruptions arrival external trucks (ETs) transport, which results congestion at port due unbalanced arrivals. In wake Industry 4.0,...
We experimentally demonstrated V-groove-based self-aligned SiN edge coupler (EC) on a monolithic CMOS-SiPh platform. <0.6/0.8 dB TE/TM SMF-EC transmission efficiency, in conjunction with <-39 back reflection and >520 mW power handling capability were achieved.
Background: The key performance index for the container terminals is vessel berthing time which highly affected by scheduling of different handling equipment. Proper integrated equipment crucial, especially in automated terminals, where all and must be coordinated to avoid interference. One most challenging problems both scholars terminal operators face introducing a proper plan equipment, considering buffer capacity dual-trolley quay cranes (QCs) limited storage locations import containers....
Background: Agro-food supply chains possess specific characteristics due to the diverse nature of products involved and contribute all three pillars sustainability, making optimal design a sustainable agro-food chain complex problem. Therefore, efficient models incorporating unique such are essential for decisions achieving economically environmentally that global food security. Methods: This article presents multi-objective mixed-integer linear programing model integrates...
Background: In container terminals, optimizing the scheduling of external trucks and yard cranes is crucial as it directly impacts truck turnaround time, which one most critical performance measures. Furthermore, proper contributes to reducing CO2 emissions. Methods: This paper proposes a new approach based on mixed integer programming model schedule with objective minimizing emissions gap between trucking companies’ preferred arrival time appointed energy consumption cranes. The proposed...
Smart traffic lights control systems started to appear in use on our roads particularly the metropolitan areas. The technology aims smoothen flow of vehicles within junctions with least waiting time and queue length which are most popular metrics system. In this type system, scheduling, duration have be dynamically controlled, needs an intelligent scheme. paper, a framework applying Vehicle-to-vehicle communications (V2V), Vehicle-to-infrastructure (V2I), Vehicle-to-everything (V2X),...
The 22nm node will be patterned with very challenging Resolution Enhancement Techniques (RETs) such as double exposure or patterning. Even those extreme RETs, the k1 factor is expected to less than 0.3. There some concern in industry that traditional edge-based simulate-then-move Optical Proximity Correction (OPC) may not up challenges at node. Previous work presented advantages of a so-called inverse OPC approach when coupled RETs illumination schemes. smooth mask contours resulting from...
Automated container terminals are more efficient than conventional terminals, as they lead to a remarkable decrease in the operational costs of human and equipment resources. However, since there is lack labor interference Container Terminals (ACTs) controlled automatically, detailed scheduling planning each piece crucial smoothly perform various operations. Therefore, this paper proposes Mixed Integer Programing model consider integrated schedule Quay Cranes (QCs), Guided Vehicles (AGVs)...
The Stowage Planning problem is the of allocating containers to specific slots on vessel in each container terminal vessel's route. objective minimize total number loading and unloading movements. Sometimes an unnecessary movement occurs when desired located beneath another one that not at moment. This called shift, shifts are time money consuming. In this paper, a rule-based greedy algorithm was applied solve problem. tested against 45 instances found literature proved its efficiency effectiveness.
The objective of the crop rotation planning problem addressed in this paper is to maximize total net return. An integer linear programming model formulated which optimizes plans using branch and bound algorithm. considers maximum allowable frequency for planting each during cycle plot. proposed incorporates a novel timing preference constraint, along with agronomic, water availability seasonal demand restrictions. analysis has been performed simultaneously visualize temporal spatial variations cycle.
Background: The slot planning problem is a container allocation within certain location on vessel. It considered sub-problem of successful decomposition approach for the vessel stowage problem. This decision has direct effect handling operations and berthing time, which are key indicators terminal efficiency. Methods: In this paper, an combining rule-based fuzzy logic algorithm with search developed to solve rules in proposed aim at improving objective function minimizing/eliminating...
In container terminals, containers are stacked in the yard for further operations; either loading these to vessels or trucks. These have different priorities determined by many factors such as destination terminal, and weight of container, they randomly configuring an initial layout a bay. If it is required pick up target that placed beneath another extra movements should be made order container. The objective pre-marshalling problem convert bay into final desired compatible with schedule...
Background: Scheduling the arrival of external trucks in container terminals is a critical operational decision that faces both terminal managers and trucking companies. This issue crucial for stakeholders since random causes congestion extended delays trucks. The objective scheduling truck appointments not only to control workload inside costs resulting from excessive waiting times but also, reduce turnaround time. Methods: A binary programming model was proposed minimize time cost,...
The tactical, technical, and economic considerations are critical factors in evaluating the crop rotation decisions any agricultural system. This system suffers from uncertainties that amplified during multi-period planning. study considers problem with water supply/demand net return uncertainties, which vary within allowable cycle. Robust optimization is most relevant tool for elaborating uncertainty different parameters related to activities. It makes formulated model numerically...