Industrial and Systems Engineering: Recent submissions
Now showing items 141-160 of 979
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The Electric Vehicle Routing Problem For Last-Mile Delivery In Urban Logistics Of Vietnam
(2023-10)The primary emphasis in urban areas is on the eco-friendly transportation system due to the environmental challenges and the sustainable development initiatives. The focal point of the thesis lies in the investigation ... -
Vehicle Routing Problem - A Case Study Of Lidole Company In Gia Lai
(2023-10)The vehicle routing problem with time windows (VRPTW) is a variant of the vehicle routing problem (VRP). In this project, a model of multi-trip vehicle routing with time windows and the potential use of a less-than-truckload ... -
A Flexible Job Shop Scheduling With Dependent Set Up Time, Non-Preemption And Machine Eligibility
(2024)This research presents an advanced Genetic Algorithm (GA) designed for addressing the complexities of the Flexible Job Shop Scheduling Problem (FJSSP), focusing on dependent set-up times, non-preemption constraints, ... -
Real Time Posture Detection Of Motivation Of Physical Therapy For Rehabilitating Process Based On Media Pipe And Opencv
(2024)Global population growth, aging populations, and higher survival rates for people with severe illnesses and impairments are all factors that are driving up the demand for rehabilitation services throughout the world ... -
Cross-Dock Truck Schedule And Storage Management: A Case Of Saigon Coop
(2024)Since cross-docking has become a popular trend for businesses, there is a growing pressure to enhance the efficiency of operations. In order to cut costs, companies are reducing inventory at each stage of the process, ... -
Solve The Problem Of Vehicle Coordination With Time Frame Constraints At A Plastic Packaging Manufacturing Company
(2024)This study addresses the pressing issue of vehicle coordination with time constraints at a plastic packaging manufacturing company, aiming to optimize delivery planning processes and reduce transportation costs. Focusing ... -
Using Genetic Algorithm To Solve Dynamic Vehicle Routing Problem With Time Window: A Case Study In Dksh.
(2024)VRP stands for "Vehicle Routing Problem." It is a well-known combinatorial optimization problem in the field of operations research and logistics. Throughout the history of studying transportation problems, there exists ... -
Retail Inventory Management: Evaluating Inventory Control And Cash Flow Management Below Budgetary Constraints
(2024-01)This dissertation delves into the intricate process of shifting from conventional inventory management practices to digital methodologies, addressing the challenges faced by businesses in effectively harnessing and ... -
Advanced Electric Load Forecasting - An Integrated Lstm And Bayesian Optimization Model For Medium To Long-Term For Medium To Long-Term
(2024-02)Electric load forecasting holds a central position in the domain of power grid management and sustainable energy development. This study presents an innovative approach that leverages the integration of external factors ... -
Supply Chain Management Problems: Managing Seafood Quality Risk At Mong Cai Border Gate
(2023-12)The global seafood industry is characterized by its complexity, perishable nature, and reliance on efficient supply chains. Mong Cai Border Gate, located in close proximity to the border between Vietnam and China, plays ... -
Vehicle Routing Problem With Time Window: A Case Study Of Panasonic Viet Nam
(2024-02)The vehicle routing problem with time window (VRPWTW) is an expanded version of the vehicle routing problem (VRP) which entails the departure and return of vehicles from a designated depot location, all while ensuring ... -
Minimizing Makespan And Minimizing Total Energy Cost On Unrelated Parallel Batch Machine With Incompatible Family And Non-Identical Job Sizes
(2024)In the past few years, the topic of unrelated parallel batch processing machine scheduling has gained significant attention from many industries. Industries are looking for a way to both increase the benefits, production ... -
Cost Optimization In Transporting Bulk Cargo: A Case Study Of Cargill Feed And Nutrition Binh Duong
(2024)Transportation cost is one of the important factors in the process of goods transportation due to their direct impact on business profits. In this research, we analyze the Cargill Feed and Nutrition Binh Duong factory ... -
Machine Learning In Prediction Of Mango Attributes Using Spectroscopy
(2024)In agriculture, the use of spectroscopy on quality has long been novel for its effectiveness. This dissertation compares different dimensionality reduction onto the dataset of spectroscopy of mangos. From 58 samples ... -
Warehouse Operation Optimization - A Case Study Of Cross-Docking At Bicycles Company X
(2024-08)Cross-docking is a logistics practice that has gained widespread adoption in warehouse operations internationally. It is particularly embraced by large retailers, distributors, and e-commerce companies seeking to ... -
Rescheduling And Minimizing Makespan In Dynamic Job Shop Scheduling Problem
(2024)Dynamic job shop scheduling problem (DJSSP) plays a role in modern manufacturing due to the emergence of dynamic-event in real time: new job arrivals, processing time changes , machine breakdowns, and job cancellations. ... -
Application Of Fmea Tool To Prevent Errors In The Production Process Of Safety Helmets - A Case Of X Helmet Company
(2024-06)As one of the leading helmet manufacturers in Vietnam, X Company produces up to 1,000-5,000 helmets per day, boasting a large customer base from countries around the world such as France, Italy, Taiwan… The production ... -
Constraint Programming & Metaheuristic Approach For Electric Vehicle Routing Problem With Time Windows: A Case Study From Company In Xuan Loc
(2024)The surge in electric vehicle adoption necessitates advanced logistics solutions, particularly for optimizing vehicle routes and schedules. This study addresses the Electric Vehicle Routing Problem with Time Windows, ... -
Multistage Early Fire Detection With Convolutional Neural Networks And Metaheuristic Optimization Algorithm
(2024-03)Fire is a frequently occurring disaster that causes significant personal injury and extensive property damage. Effective fire detection is crucial for protecting lives and property. Current trends in fire detection ...